live from San Francisco it's the queue covering micron insight 2019 back to you by micron welcome back to micron insight 2019 in San Francisco you watching the cube the leader and live tech coverage we're wrapping up our day Dave Volante with David Floria we're Kia Jones is here she's the senior principal for 5g connectivity in the GPM group at Microsoft great to see you great to see you guys it's been a wonderful day yeah nice job up on stage today you know we're gonna talk a little bit about a 5g and get your perspectives on it but tell us more about your group and sort of what you focused yeah well you know I'm in Azure and azure is even though it's our cloud infrastructure there has to be a lot of backbone support so inside of networking we have all those components that would support the physical structure of cloud technology so we focus on virtualizing a lot of the different managed services that we have and we provide those to customers for scalability and sustainable models that allow them to pretty much transport data safely what's it like inside of Microsoft these days I mean what a transformation of the company I did a little segment on LinkedIn the other day a little video segment there's a lot of ways if you want to spend some money there's a lot of ways to spend money with Microsoft you know you got cloud you got an application management you got security you got all the abs I mean really is you're hitting on all cylinders it's what a dynamic what's it like inside of there these days you know I think I think the world now is very different I see Microsoft making a huge transformation over the last have only been there three years but what I can say to you is that I see that the opportunity is there for partnership now which is something that I don't think we focused on we did too well in the past with our new CEO Satya Nadella and Peggy Johnson who leads our business development I mean we are really taking the the game and just changing and and making making it more something that we can do with everyone instead of in silo and so the culture is definitely changing is their opportunity yeah but I think our company is dedicated and focused on you know creating more diverse technology that can meet two customer's needs all over the yeah I mean windows are still a huge part of Microsoft's business but it's not the future of Microsoft it's very very impressive to see that transformation all right what what should we know about 5g what's Microsoft's put point of view on 5g what's the opportunity for you well that's a great question a lot of people were like Microsoft and 5g how does that work well in the past I think with the telcos and all the communication service providers we've always been either their customer or they've been our customer the new world that we're going into now is how do we help the telcos now be better enablers so that we can accelerate business and so I took over this charter along with my boss Yusuf Khalidi and about a year ago and our vision for what we thought we could do came to really great reality when we understood the the ecosystem that already existed this this business of 5g is not as simple as it sounds so what we decided to do and we released a press release back in July was we're going pretty much all in in a sense with AT&T in helping them with their global strategy for really Wireless you know to help stabilize their wireless network and combine some software-defined principles and capabilities so what they're they're already planning for in the future so I think with that transformation honestly a lot of it is unknown but we're taking a day by day we're talking earlier about a lot of is unknown in terms of like what apps are going to emerge who's gonna pay for what but but there's a lot of hype around 5g certainly a lot of folks in the technology community you're excited about it yeah help us understand what's real and what's not what's hype and what sort of things that users can actually expect and then I want to know exact months and you know what I think if you can imagine it it's a possibility I think it all boils down to the type of partnerships I always say that it's the power of three in the sense in the past has always been the power of two where two companies come together we can make it work well now you need you need an extra component not only do you need a company like Microsoft but you need to tell Co but you're going to need a system integrator right and I'm not talking about the hardware side but more of the software application side I think if a lot of people talking about like these things we know that smart city we think that's a possibility real soon mmm I still think we got it way to go with a lot of the townships and the city infrastructures moving so slow with governmental policies changing I think that we can likely see improvement in connected vehicles connected you know Internet of Things in and if everything is coming we first must be able to connect the dots with those things first before we actually bring in a government entity I think they have a lot of questions that we're not yet ready to answer and so I think there's a lot of great need for POCs and that's what my team focuses on inside of Azure networking he's looking at what can be the next PLC where we can help truly define the next generation requirements you're kind of acting as the accelerant I like the power three analogy a bump set spike yeah right now fashion sports analogies in the cube and then you know you point about I think governments is right on I was saying the earlier to David that I participated in a mayor of Boston as this you know the Smart City future initiative and you're talking 2050 oh yeah you know that's their time horizon I'm trying to figure that that's right around the corner yeah I mean I can't believe we're about to be in the 2020 feels like I just graduated high school when you're looking at these opportunities there seems to be a big divergence of opinion in terms of networking between are you going to push the processing out to the edge and do as much of it possible there and only take the the subset of data from that processing or are you going to bring it in to some sort of center to do do the processing there yeah what are you what are you seeing in your five-year as the models of computer putting together compute storage and networking yeah for me I have a this is rukia's opinion but I think that in the future when we talk about compute we need to be able to chop it up and we need to sell it to individuals individuals could be enterprises or consumer in my world and the way I think about this I think that we have an enormous amount of opportunity to give customers freedom and flexibility if we're not able to give them freedom and flexibility I think that we really limit the possibilities of what truly podgy can bring and so in my world I believe that you should be able to prepay for your computing power I believe that you can literally distribute it among all your devices within your families like you know you have the family rate plans that the telcos are selling well think about this and that family rate plan now there's an additional component that you will sell which will be compute I may not want to go as fast as you like for gaming for instance absolutely right okay gaming for everyone and at the speed of what you need so atomic of components of compute that you can actually assign to individual users applications workloads yeah it's not - you told me tomorrow rookie what do you want to do that's not saying ok so what what are you doing here what's the connection between sort of Microsoft your role and you know this micron insight event micron is a a great partner with with Microsoft I think we do a lot of business as it relates to chips I specifically am here because Peggy Johnson supports the company and she's over our business development operations for the companies and she believes micron is on to something and so I'm proud to be here and getting to know more about the business visit micron and the partnerships that we can create in the future well we more partnerships obviously you need membrane storage to run all this totally do we can do it part of the build-out well Rukia thank you so much for for coming on the cube we'll give you the last word your takeaway is what should we be watching for from you and your group yeah I mean I think that as we go forth with our partnership with AT&T which happens to be one of the global carriers around the world we are planning for some amazing things and we will make announcements at our Microsoft ignite event in early November and so I hope that everyone will attend that event and perhaps support us by sharing the information and coming to talk to us about new partnerships with our clouds networking department great well we'll be there at ignite hope to have you back on that'll be great thank you and thank you everybody thank you David Fleur a great job with the crew which is a wrap from Pier 27 at Microsoft blending Microsoft mega you both say the same names right the insight conference micron inside 2019 check out Silicon angle comm check out the cube net for all the videos and we'll see you next time is Dave Volante for David floor thank you

live from San Francisco it's the cube covering micron insight 2019 brought to you by micron welcome back to San Francisco everybody we're here at Pier 27 the Sun is setting behind the the buildings in San Francisco you're watching the cube the leader in live tech cover jump date Volante with my co-host David Flair we've been here all day covering micron insight 2019 Tommy Vee is here is the senior vice president and general manager of the compute and networking business unit at micron Tama great to see you again great to see you so you got compute and networking two of the big three you're in your business unit there you go but we're gonna talk about 3d crosspoint today but so anyway you know absolutely we're kind of bringing you outside the swimlane or maybe not but tell us about your bu and what's the update yes we you know we sell primarily memory today DRAM although in the future we see 3d crosspoint it's a great opportunity into the the data center you know both traditional servers and the cloud players pcs graphics and networking yes so you get some hard news today why don't we dig into that a little bit we surely haven't covered much of it but okay yeah so I guess you know a couple couple things of interest probably most directly as we we announced our our first 3d crosspoint storage device it's a it's a it's the highest performance SSD in the world and offers compared to other 3d crosspoint based solutions on the market you know anywhere from three and a half to five times the performance on a range of both sequential and random reads and writes two and a half million I ops bandwidth readin right north of nine gigabytes a second and I'm super fast super fast fast and you know similar similar you know a very positive comparisons up against up against me and SSDs ok and so we're excited about that so where's the fit what are the use cases who you're targeting with sure yeah I mean I think you know that one way to think about it is that anytime you introduce a new layer into the memory and storage hierarchy you know historically it was SRAM caches and then it was SSDs going in between dear and rotating media now this is 3d crosspoint sitting in between DRAM and and NAND and and the reason it is a benefit in terms of another layer is it's you know higher density and and greater persistence than DRAM it's greater performance and and you know you can it can cycle greater endurance than the man and and when you do that you do nibble away at either side of that layer so in this case that nibbles away a little bit from DRAM and a little bit from NAND but it grows the overall pie and it's the only player in the industry that provides DRAM 3d crosspoint in and we think that's a great opportunity at some code to the economics cuz it's more expensive than and less expensive than the DRAM higher performance than the traditional flash short lower performance well under the performance of DRAM so yeah I mean so again I think you know the the the you know the benefits like I said is it's it offers greater density and it offers greater persistence than DRAM and so that's the advantage there and it offers much greater performance on things like bandwidth and I ops and much greater endurance than the NAND and certainly our preliminary results are in in applications like databases in certain AI and machine learning workloads and in workloads that that benefit from low latency I think financial service markets is one specific example you know we think there's a good value bro so so a Colombo question if I may yeah so si P would say no throw it throw everything in memory in Hana and of course sell the DRAM and say ok that's ok with us so you mentioned databases how should we think about this relative to in-memory databases sure I mean I think that if if you can afford it and of course it will be more expensive we would love to provide you know our highest density DRAM modules on on the highest end server platforms and you know put put you know you mentioned you know Hana database in the terabytes and terabytes of the RAM that would be great that is is not free if we refer you to do it right exactly and and so if you have the need for that performance that's will do but we we see there's a you know a an attractive range of workloads that cannot afford you know there's a costume that very high-end solution and so this affords something that that gives you know good benefits a database performance but at a slightly more I know you want to jump in go oh yeah sure I compare yourself with Intel which is obviously got the same raw technology they have gone for consumer type obtain [Music] SSDs but they put all their effort into combining it with a DVD or envied him and have combined that with the processor itself and made a combination which is very good for storage controllers yeah so the quest you can very well in in in the SSD much much much more than they have are you looking to go into that and the dim because he obviously you don't have the processes themselves to to to man yeah I mean you know to be clear the you know what we're offering today you know is a product that runs on standard and yeah and via me and while there may in the future be opportunities to further enhance performance with software optimization it runs you know out of the box absolutely without any software optimization and but I do think that you know there are opportunities both to use this technology in you know more of a storage type of configuration and and looking forward there are also opportunities to use it in a memory configuration you know what what what we're announcing today is our is our first storage and with regard to additional products you know stay tuned so if I think about the storage hierarchy you know the the classical pyramid and forget about let's let's focus on the persistent end of that spectrum yeah this is at the tip right is that how we should think about this or not necessarily I mean it is at the storage tip yes but I think we 10 to think a little bit more holistically that you know that that triangle extends from you know from DRAM traditionally to SSDs to rotating and we're now inserting a 3d crosspoint based layer in between and and so from that perspective it is it is the tip of the storage triangle right but it does sit below it does sit below DRAM so in the overall and the reason for my question was sort of a loaded question because if you eliminate the the DRAM piece now you've got that tip sewn and benefits from the volume of consumer thoughts on how you get volume with 3d crosspoint sure you know again I think there are you know at a at a lower performance point you know you can get higher density you know more cost effective storage solutions with that um and we certainly don't see you know NAND going away or we're quite bullish on that you're like man you know it's both a both a SATA and a nvme 96 layer TLC nan based products today so that's that continues to be a major area of investment but you know from a you know from a from a value and opportunity point of view we see a better opportunity you know applying this technology again into this layer in the you know in the in the server or datacenter hierarchy um you know as opposed to what one might be able to do in the consumer space and your OEM say bring it on right I mean they they want this we're talking about the server manufacturers data center yeah I mean I think we're in you know we're in we're in limited sampling with select customers so you know more to say about our go-to-market you know at a at a future date but certainly we we see that there is you know we're we're bullish about the opportunity the marketplace so just asking a question about volume making sure you if you look at the marketplace it's arm has been incredibly successful and it's driven a huge amount of memory and and Nan for yourself then that seems to be where the volume is growing much faster than most other platforms are you looking to use this technology 3d crosspoint as in in in that environment as even memory as in DRAM itself as memory itself at a much lower level I'm just thinking of ways that you could increase volume sure I mean so to be just just to be clear you're talking about what's driven overwhelmingly by by the cell phone market right obviously it's it's proliferating into IOT you know I guess again our our our view of the of the first and best opportunity is in the data center which is still today an x86 dominated world I would say you know in terms of opportunities like I said for you know memory based solutions in the data center um and for how we apply this in other areas you know stay tuned let's talk about this forward next acquisition so it's really interesting to see micron making moves in an AI why the acquisition tell us more about it sure yeah so it's a it's a it's a small small start-up you know handful of players although you know fairly experienced as as I believe sanjay mentioned they're on their their fifth generation of their architecture and so what we've acquired it's both it's both the hardware architecture that currently runs on FPGAs along with the supporting software that supports all the common frameworks the tensorflow is the the PI torches as well as the range of the network architectures you know that that are necessary to support again primarily on the inference side you know are we see the best opportunities in edge in fencing but in terms of what's behind the acquisition first of all there is there's an explosion of opportunity in machine learning we see that in particular on you know on edge inferencing and we feel that in order for us to continue to optimize and develop the best solutions both over all of a deep learning platform that includes memories but also just memories that are best optimized we need to understand you know when you noticed in the workloads we understand the best solutions and and and so that's why we made this acquisition we integrated it with our team that has for some time developed FPGA based adding cards and it's actually the basis of the technology for some of the dialog that used to offer example with OHSU when you talk about edge inferencing we're envisioning this sort of massively scalable distributed system that of course comprises edge you want to bring the compute to the data wherever the data lives obviously don't want to start moving data around now you're bringing a eye to that data which is the data data ai cloud all these superpowers coming together uh-huh so our premise is that the inferencing is going to be done at the edge much much of the data if not most of the data is going to stay at the edge yeah so this is what you're enabling through that integration provision heterogeneous combination of technologies correct I mean you know to use the extreme example that we talked about you know on stage earlier you know CERN has this massive amount of information that comes from the I think it's 40 million collisions a second or I may have my figures wrong and you cannot possibly store nor do you want to transmit that data and and so you you have to be applying AI to figure out what the good stuff is and there's no stream it's exactly and that solution exists in a myriad of applications you know the very you know simplistic one you're not going to send you know the picture of who's at your front door you know to a core data center to figure out if it's somebody in your family yeah you don't want to be doing that maybe not in the camera but certainly a lot closer because you just you know the network simply will not can't handle the capacity all right we got to go but but last word you know what are the takeaways from today what do you want our audience to remember from this event well I think you know I think it's just we continue to build on our memory and storage base to to move up the stack and add values in way that maybe storage subsystems like our our NAND SSD and 3d crosspoint that you know go a little further up the stack in terms of our gaining greater expertise in you know machine learning solutions or or the example with authentic of providing you know a broader solution including key management for how we secure the billions of devices they're gonna be at the edge touching all the bases Tom all right congratulations on all the hard work and it was great to see you again thanks guys Dave and Dave thank you and you keep right there but it will be back to wrap micron insight 2019 right after this short break from San Francisco you watching the cube

>>Live from San Francisco. It's the cube covering my groin insight 2019 brought to you by micron. >>We're back at pier 27 in San Francisco. This is the cube, the leader in live tech coverage and we're covering micron insight 2019 I'm Dave Vellante with my cohost David Floyd and this event is kind of interesting. David, it basically intersperses cube interviews with big tent discussions, thought leadership, we've heard from automotive, healthcare and and 5g discussions and no Han is here. He's the vice president and CTO of the emerging business at Erickson. And you were just on a panel. Welcome to the cube. Thanks. Great to be here. You were talking about five G, we're going to talk about five G. so first of all, talking about the emerging business at Ericsson, >>your whole group, you know, so Ericsson, we, you know, 99 a lot of our business today has done what operators emerging business group, we're sort of looking at the intersection of industry, cloud computing, our traditional mobile network operator customers, and how do we, how do we put those together and look for new either products or business models. And really create something new for customers. >>So we tell him when he's talking about five G, everybody gets all excited. Certainly the technology community is excited about it. There's a whole value chain and an ecosystem that's that's pumping right along. The carriers are adopting and the users are just waiting. So what should we know about? >>So I, you know, I think there's a couple of different things. One is from a consumer perspective, you're definitely looking at faster, you know, better. All of the things we've got from the other GS at older things. You know, today, you know, faster downloads of movies. I think what we're, and I'm, I'm in the tech business, not in the prediction business, you know. So I think what we've learned from previous technologies is we almost don't know what the new applications are. We're trying to make the platform as easy as possible for developers to utilize what the network actually has to offer. So I think that's a big part of what we're trying to do. The other part is enhancing what you have today as a consumer is massive, but also industries is a huge pull on 5g. So we talked about industry four. Dot. Zero and really transforming industries and cutting the cables in production lines, allowing monitoring of systems that never happened before. >>A lot of use cases that can be out there. So a, I have a younger son of 22 and I look at my a bill every month. Yeah, I do have him downloading 10 times more data. It doesn't fill me with uh, duty or just the excise to carriers. I mean while we've seen with every, every end. And of course that was the question how much of a down, yeah, how much low is the price going to be on this baffled breeze you go to invest an awful lot. Absolutely. So I mean we're going to see it tens, 10 orders of magnitude cheaper. So even as it is now with 4g, we're seeing a lot of the unlimited plans coming available and so on. I think we're just going to see more of that. And then the question, actually a big question for five G is what will you pay for? >>You know, if we talk about age compute and low latency, if you're a gamer and I can give you X milliseconds of latency versus you know, a two X milliseconds, how much would you pay for that? So I think what we know at the moment is people will pay for that. We don't know exactly how much, and that's where you need the ecosystem and you need to get stuff out there. And actually some of the economic impact is fuzzy. But in thinking past, there's no prologue. But if you think about the other GS as they sort of were adopted, what can we learn from those? And how do you think five G will be different in terms of its adoption and economic impact? Let's say if you look at adoption, I mean just a number of contracts. We have the number of deployments we have globally, just off the charts in terms of where we are with 4g Korea launched and a few months ago, just just before the summer, within two months they had a million 5g subscribers with smart phones in their eyes and two months later they added a second million subscribers. >>I mean for a market to go from zero to that in, in that period of time with smartphones, if we go back to 4g, all of that was with dongles and sort of hotspots on routers, you know, so to jump directly to smartphones, huge adoption, it's going to happen fast. Well what do you, what are the sequence, what's the sequence of events that have to occur for adoption to really take off? >> So obviously you need to build out the networks and the operators are doing that are pretty high speed. You need to have the devices ready and all the devices. Now it's not like you have a 5g only device. It's obviously capable of all the four G things. And then it's better when you have 5g. So the devices are going to come and take and fast. So all your new devices, most of the high end devices have 5g capability already in there. >>Um, and then the networks just getting built out more and more. And then of course the application developers actually understanding how can I take advantage of those new capabilities? And then you'll start to see, okay, wow, you know, I didn't, this wasn't possible before. It's not just a faster download. It's really, there's just new experiences happening >> from a development standpoint. How much access do they have to the technology? Do they have to wait until this is all built out? Obviously not, but, but, but what's the status of sort of the devs? So we're, we're trying to, and we're working with a lot of the ecosystem. We have, we call it the D 15 studio in our Santa Clara office. We're bringing developers in there and really trying to understand, because you know, we talk Telekom as well. So we want to expose things. We want to understand, do you know what variable, if we say quality of service, what does that mean for you? You know, how do you translate that? So, and we're working with, you know, the cloud players where to developers live to some extent to bring in that ecosystem and understand how it all plays together. So >>ahead. Yup. Um, so if really, if you're looking at it longterm, obviously it's going to happen, but the experience is as I go around the States, is that you've got all these different four G three GS edges still in a very, very patchy a level of it. Is this going to be different? Is this going to actually go into different places because there's a big investment that has to be made, a lot of things very close together. Yes, yes. That seems to be a recipe for everything being or right in the cities. But as soon as you go outside the urban areas, it's going to be very patchy. How does that compare, for example, with Elon Musk's idea of a doing stuff from the sky? >>Well, everything comes down to economics. So you know, it's, it's obviously you're going to have denser deployments in the cities, then you are in the countryside and so on. One of the big advantages would 5g is am, and not to get too deep into the technical part, but you can use all the spectrum that's available. And spectrum is super important as we get, you know, when we have lower frequency spectrum, you can cover a hundred miles Wade, one base station as you get to the millimeter wave, which is you get super high bandwidth, then you're add hundreds of meters. Yeah. And so obviously one is more suitable for a rural environment, the other is more suitable for. So for an urban environment, so obviously having those working together in one technology allows you to deploy everything and get the benefits in a much broader area than we had for any of the previous. >>There's choice there in terms of how you deploy or, or leverage the spectrum. So you're saying that the higher performance end of the spectrum, it's gonna require a greater density of other components. And absolutely. When people talk about oil, there's going to be a lot more distributed, you know, pieces of the five G network that has to get built out. So who does that? Who's putting those pieces of the value chain in? So different players, obviously the mobile network operators, the 18 Ts and Verizons of the world are doing a lot of the heavy lifting and know what our support to actually put the, the radios and the towers in place. And then there's an edge compute piece as well, which is different players are putting in that. Um, so, so a lot of that infrastructure has been done. I think one thing that we've been pushing quite a lot, all our install base of radios is um, 5g upgradable via software. >>So that means that a lot of the already installed, uh, radios and infrastructure, you're just softer upgrade, you know, an hour later it's now 5g ready. So I think that's a big piece of basin. Back to your question of how quickly and and can reach all those areas, are there any specific commercial blockers that you see, um, that you're thinking through? I am I, I think the, just understanding some of the more challenging when you look at, if you're deploying edge compute and you have to invest billions and really getting that far out to the edge, I think there's some questions still there. Like I said, how much would you pay for 20 milliseconds versus 15 milliseconds. And that might sound like a lot, but that's a lot of extra infrastructure you would need to put out. So I think that's still being worked true. >>And obviously some of that will happen quicker in a downtown San Francisco than it will in a, you know, middle of Nevada plays well and the others that you've mentioned before, it's unclear what new applications are going to emerge here. And so it's almost like build it and they will come and then we'll figure it out and then we'll figure out how to charge for it. Like you say the gamers, how much will they pay for it? Yeah, so those are some of the uncertainties but they'll shake themselves out. So absolutely. I was a pretty smart about doing. What about micron and the role of memory players and storage players? How will this affect them? Eight say a huge opportunity when you ah, yeah, I mean invest no and Bardy hats. >> Yeah, I think it's a, when you look at the number of devices and, okay, what's the device? >>The devices are smartphone. Well the devices now your car, it's every IOT device and down to your toaster and all the crazy stuff people are talking about too. I mean to every industrial application tool that age, computers. So you're distributing now a lot of different compute memory storage across different parts of the network. So I mean they talked earlier in the panel about phones having terabytes of data. You know, it's in, it's just unimaginable. The amount of data storage. Remember you're going to need in a vehicle, you know, they're looking at terabytes per hour of data and then how much of that should they shift off the vehicle? How much did it keep there? So huge opportunity. >> Well, I'd be willing to pay for, um, some memory in my appliances. They tell me when they're going to break. I just got a new dishwasher and I can program it with my, my remote. I don't want to program. I just want to know that on Thanksgiving morning it was that it works. But in a week before it's going to break, I want to know so I can deal with vending and maintenance. That's a big use case. Can't wait until that happens. The last question, so >>I was going to be, I was following up on that last point you were making. Um, uh, so again, this cost of everything, this, this value that you're going to get out of it. Um, it seems to me that, um, that this is gonna take a long time to push out. Um, and, and before it actually down. And people will actually know whether they can pay for this. And then one thing in particular is there's a lot of resistance in, in the, in the States anyway, to all of these devices being put very, very close, you know, to the, to, to it for example, putting all the devices down, download a row for example, that, that, that seems to be very expensive and, and going to get a lot of reaction from consumers is, is that not the case? >>So I actually, we're not seeing it that much. I mean if you look across the globe, um, China obviously is a slightly unique situation. Massive deployments already happening there. Like I said, Southeast Asia, South Korea being among the, you know, the forefront, big deployments already there. And we're seeing big pull from industries already and the operators here in U S are announcing new cities, you know, every month practically. So they are really full on into this. And to some extent it's, it's really just, there's a capacity need to have the spectrum. They need to make the investments and they're, they're doing it as we speak. >>So I think it depends on me. Why was it a meeting the other day in Boston with a lot of city officials and folks that worked for the mayor's office? They're envisioning Boston, you know, for the next 50 years, smart cities and five G was like, if you did a word cloud 5g was that the number one topic? You know, we talked earlier about sports stadiums. You can see that being, you know, use cases going to be these >>hotspots where it's of very, very high >>of the city in this case in Boston's case are they're going to invest, right? And they're gonna think that's going to be a differentiator for cities. >>You have this amazing infrastructure, you know, five G infrastructure that allows you to take advantage of that, be it just from, they talked about traffic congestion and what the city can do and then what the businesses and the consumers can do in that area that that can end up being a differentiator for innovation companies going there and so on. >>Right. All right. We're going to go before they blow us out. No, thanks very much for coming to the queue very much. All right, great. To have you on. I keep it right there, buddy. We'll be back with our next guest after this short break. You're watching the cube live from micron insight 2019 from San Francisco right back.

>>live from San Francisco. It's the Q covering Micron Insight 2019 to You by Micron. >>Welcome back, everybody. We hear a Pier 27 in San Francisco. Beautiful day. David Floor is my co host on Day Volante, and this is Micron Inside. 2019. Jeff Baylor is here. He's the corporate vice president of the embedded business unit at Micron. Jeff, great to see you again. >>Thank you. Nice to be here >>so love to talk about autos. I o. T Edge. Use cases to talk about the focus of your team. Let's start there. Yeah, >>sure. So the embedded business to point. It's absolutely focused on the automotive industry's way. Call industrial markets. So factory automation, surveillance and stolen a swell as a consumer electronics businesses on we're really in across all those sort of focused on how connectivity and compute is changing inside of those. And, of course, how that drives memory. >>I mean, yeah, memory and storage. They hide in places that we use every day. You don't see them, but if they weren't there, you wouldn't be able to use all these devices. They wouldn't be as life changing as they are. So you know you mentioned some of the consumer stuff. You know what the big trends that are driving your business? Well, I do >>think it is absolutely. That's sort of the ubiquity of connectivity. First of all, and then, sort of the ubiquity of compute has enabled all of these what used to be sort of isolated applications to now be connected and doing a whole lot more analytics inside that machine. Do you think about intelligence in your thermostat on the wall? You think about intelligence, obviously, in the automotive business, where safety features and so on are using so much more electron ICs and a I machine learning. And that's happening really in every application, whether it's the smart speakers at home, voice control on your TV and so on and so forth. All of those drive more intelligence, more connectivity and then more memory and storage behind that. >>When people talk about automotive, of course, everybody wants to talk about autonomous vehicles. I love to talk about autonomous vehicles, but there's so much action going on in today's vehicles dozens and dozens of microprocessors throwing off all kinds of data. So give us the update on the automotive industry. >>Yeah, you're exactly right. I mean, autonomous gets the headlines and it will for several more years just be headlines more or less right? And the real story is what we call eight ass or advanced driver assistant system. So things like lane departure warning, lane departure, keeping things like auto emergency braking those those sort of much simpler, easier problems to solve are still very compute intensive on. So are driving a huge growth and electronics on memory of storage inside the car. The other major part of the car market in the automotive market is what we call infotainment, sort of the center console. More and more large screens going into that more high function capabilities being integrated in that whether it's navigation or streaming media service is and all of those air driving again a much richer mix that's required >>for those applications. I was at the arm conference and they were talking about automotive and some of the challenges, one of the most fascinating areas they were talking about. How do you make something that will last for 20 years in the car on make it such that if it does go wrong that it that it could recover seamless less. Can you talk about some of the technologies that >>are sort of two parts to that? Unpack a little bit? First through? What does it take to succeed in automotive? First of all, it's all about quality. Yeah, right. It is quality, quality, quality location, location, location. It's quality. It's it's reducing and eliminating defense fundamentally at the end of the day and so inside of our process. Design inside of our technology designed our product designs. Our product manufacturing flows are all designed to sort of fundamentally improve and continue to improve the quality level because at the end of the day, that is what what makes or breaks you in the car. As soon as you solve that, you know, small problem. Next problem is longevity and stability of that solution, because the design cycle itself is shortening and automotive. But it's a very long design cycle, and then the life cycle in automotive is still very, very long. I mean, the average car on the road in the U. S. Is 12 or 15 years old, right, and that needs to both continue to be viable but also often need toe continue shipping that product. It's gonna shipment volumes or have spares and replace. So So we have a strategy that sort of focused on both bringing those leading edge technologies that Micron has into automotive as soon as possible and that timeline is shrinking. But then also having a very long life manufacturing strategy to continue to provide those for so long. >>So you're certainly a leader in automotive. You might even be the leader. I'm not sure I have the data, but what is it you mentioned? You know, quality and those other factors. What is it that's allowing you to do so well in automotive? >>So So we are the beater for sure. We're about 40% market share, which is a little more than three times as big as the nearest competitors, right, So leader by far, really an automotive. And it's been a very long time that we're in this industry and very focused on. So it is. It is about the product mix and bringing in particular lately leading edge technology into that story. You know, we are at the very beginnings of LP five, the low power GDR five generation, where the very beginnings of that rolling out into mobile applications, its primary markets at the same time, almost literally the same time. Way air sampling and providing that into our automotive customers and our automotive partners to start beginning building their systems around L P. Five. So that time to adopt leading edge technology is rowing is shrinking very rapidly. And so we're able to provide that leading edge Tech started, coupled with that long life solution and then one of the areas, when you think about being in a 40% market share position, way air investing tremendously in sort of partnering with the customers around, essentially defining and driving the innovation that they need to deliver So way have a number of labs that we've established customer facing labs that were able to bring customers and even our customers customers. So the Auto am is directly into those labs to start looking at usage models and architectural sort of feasibility and optimization kinds of things that we could then plan into our road map to follow two or three years later. After that, >>a lot of domain expertise there, so tremendous I said the Derrick Dicker that Micron has a very large observation space. You sell to a lot of different channels and I want to ask you about industrial I ot David night. We spent a lot of time in the Enterprise and we see a lot of I t company saying, Hey, here's a box. We're gonna throw it over. We're gonna go dominate the edge anywhere you talkto operations, technology, professions there like No, we're talking about machines and equipment and it's like this whole different parlance and language. So what are you seeing? Just in terms of the ecosystem, how it's developing the sort of analog going to digital And that whole explosion? Yeah, >>again, Industrial is extremely broad market, and it means a 1,000,000,000 things toe people. Right? So So, one of the first things we have to do is sort of narrow the field a little bit, at least into specific verticals and specific areas. Way have the right product mix and opportunity, right? So, for example, in the in the space of factory automation, it's a little bit what you're just saying the operational technology guys are trying to figure out how they're gonna drive efficiency, drive productivity inside a factory on, and that is often a question of instrument ing, and putting in my crown is doing a lot of this sort of smart manufacturing deployment. Putting this sensor network multiple cameras, multiple high resolution cameras, audio sensors, accelerometers, sort of sensors and capturing all of that sensor data to Dr Things like better predictive maintenance, better sort of yield detection or excursion detection kind of capability. So you could tell this machine, you know, seven days, five days out of the week Sounds like this. But last night at 10 o'clock, it started sounding different way. Don't know what it means necessarily, but we can detect that. And that's where all of the A I and Machine Learning is now being applied to say. And that means it's due for a P M. About this particular portion of >>what about security at the edge, obviously a hot topic in the Enterprise on every C. I ose mind what's happening with security in Io ti industrial out in the edge. Yeah, I think >>to some extent, security in the I. O. T. I think is, is why I ot is where it is in the hype cycles. Maybe it's sort of still at the bottom of one of these types cycles, meaning solving that increasing security problem, that cyber security problem that the edge is really a big problem. You saw you know the hacks a few years back of the Jeep charity. You saw the hack two years back on surveillance cameras. All these cameras moving toe i p surveillance cameras means they're now connected and open to the world. Dispersed. He just announced last week in a report that basically showed I ot specific hacks up seven fold or seven fold this year after being up tenfold last year. So it's absolutely a growing problem for people thinking about deploying again. Connectivity is a great tool in a great weapon, Depending. And I was so so. One of my crown is doing is is way. >>Have a >>solution called authentic, which is essentially a cybersecurity, is a secure element built into the non volatile memory that goes in each one of these systems. So today, security is not a one chip problem. It is a full and and system problem. And so what we're tryingto build with that is the capability at a very sort of lowest level in the system right where the code is right where the four part of the system is to protect that in the memory itself and sort of a test that that is safe and secure. And then the system can build out about around that. And that sort of simple boot device, in the case of a nor device or Anand device is in every embedded application >>right in the world, >>right? I mean, you think about you go back a long way, Stuxnet. You know, 10 plus years ago with a seaman's controller, which was the and now you think about fast forward, how much Maur infrastructure is out there? How much more complicated it is, It's ah, it's a scary situation is Oh, it is so that we think that's a >>big opportunity. And we're making the announcement later, uh, later in the show today, on an extension of what we're doing already in that space. >>I know you're working with other vendors. People like >>me are worry with Yes, >>it is really >>an end to end. >>This is really an end to an an ecosystem >>activity, for sure, because again, arm is a great example. You know, all of the S o. C. Vendors. You know, everybody in this industry has some slice of the of the rules. Let's say to figure out how they're going to secure this system and we're tryingto build a basic building block that they can then build on >>that when we started this morning was really quiet. But the crowd is rolling in. Now there's a buzz that you can hear, hear. The key was excited to be here, Jeff. Thanks very much for coming on. The king here to see you again. >>Very much nicer here. >>All right. Keep it right to everybody. We're gonna be taking a short break. We'll be back. Day long coverage wall to Wall of Micron inside. 2019. You're watching the cube.

>>Live from San Francisco. It's the cube covering my groin. Insight 2019 brought to you by micron. >>Welcome back to pier 27 in San Francisco. I'm your host Dave Vellante with my cohost David foyer and this is the cube, the leader in live tech coverage. This is our live coverage of micron insight 2019 we were here last year talking about some of the big picture trends. Derek ticker is here, he's the general manager and vice president of the storage business unit at micro and great to see you again. Thank you so much for having me here. Welcome. So you know we talk about the super powers a lot, you know, cloud data, AI and these new workloads that are coming in. And this, this, I was talking to David earlier in our kickoff like how real is AI? And it feels like it's real. It's not just a bunch of vendor industry hype and it comes in a lot of different forms. Derek, what are you seeing in terms of the new workloads and the big trends in artificial intelligence? >>I think just on the, on the front end, you guys are absolutely right. The, the role of artificial intelligence in the world is, uh, is absolutely transformational. I was sitting in a meeting in the last couple of days and somebody was walking through a storyline that I have to share with you. That's a perfect example of why this is becoming mainstream. In Southern California at a children's hospital, there were a set of parents that had a few days old baby and this baby was going through seizures and no one could figure out what it was. And during the periods of time of the seizure, the child's brain activity was zero. There was no brain activity whatsoever. And what they did is they performed a CT scan, found nothing, check for infections, found nothing. And can you imagine a parent just sitting there dealing with their child and that situation, you feel hopeless. >>This particular institution is so much on the bleeding edge. They've been investing in personalized medicine and essentially what they were able to do was extract a sample of blood from that sample of blood within a matter of minutes. They were able to run an algorithm that could sift through 5 million genetic variants to go find a potential match for a genetic variant that existed within this child. They found one that was 0.01% of the population found a tiny, tiny, call it a less than a needle in the haystack. And what they were able to do is translate that actual insight into a treatment. And that treatment wasn't invasive. It didn't involve surgery. It involves supplements and providing this shower, just the nutrients that he needed to combat this genetic variant. But all of this was enabled through technology and through artificial intelligence in general. And a big part of the show that we're here at today is to talk about the industry coming together and discussing what are the great advances that are happening in that domain. >>It's just, it's super exciting to see something that touches that close to our life. I love that story and that's, that's why I love this event. I mean, well, obviously micron memories, you know, DRAM, NAND, et cetera, et cetera. But this event is all about connecting to the impacts on our lives. You take, you take that, I used to ask this question a lot of when will machines be able to make better diagnoses than, than doctors. And I think, you know, a lot people say, well they already can, but the real answer is it's really about the augmentation. Yeah. You know, machines helping doctors get to that, you know, very, you know, uh, a small probability 0.1001% yes. And it'd be able to act on it. That's really how AI is affecting our lives every day. >> Wholeheartedly agree. And actually that's a, that's a big part of our mission. >>Our mission is to transform how the world uses information to enrich life. That's the heart and soul of what you just described. Yeah. And we're actually, we're super excited about what we see happening in storage as a result of this. Um, one of the, one of the things that we've noticed as we've gotten engaged with a broad host of customers in the industry is that there's a lot of focus on artificial intelligence workloads being handled based on memory and memory bandwidth and larger amounts of memory being required. If you look at systems of today versus systems of tomorrow, based on the types of workloads that are evolving from machine learning, the need for DRAM is growing dramatically. Multiple factors, we see that, but what nobody ever talks about or rarely talks about is what's going on in the storage subsystem and one of the biggest issues that we've found over time or challenges that exist is as you look at the AI workloads going back to 2014 the storage bandwidth required was a few megabytes per second and called tens of, but if you just look every year, over time we're exceeding at gigabyte, two gigabytes of bandwidth required out of the storage subsystem. >>Forget the memory. The storage is being used as a cash in it flushes, but once you get into a case where you actually want to do more work on a given asset, which of course everybody wants to do from a TCO perspective, you need super high performance and capability. One of the things that that we uncovered was by delivering an SSD. This is our 9,300 drive. We actually balanced both the read IOPS and the ride IOPS at three gigs per second. And what we allow to have happened is not just what you can imagine as almost sequential work. You load up a bunch of data into a, into a training machine, the machine goes and processes on it, comes back with a result, load more data in by actually having a balanced read and write a model. Your ingest times go faster. So while you're working on a sequence, you can actually ingest more data into the system and it creates this overall efficiency. And it's these types of things that I think provided a great opportunity for innovation in the storage domain for these types of that's working >> requiring new architectures in storage, right? I mean, yeah, >>I mean, th th so one of the things that's happened in, in bringing SSDs in is that the old protocols were very slow, etc. And now we all the new protocols within in Vme and potentially even more new protocols coming in, uh, into this area. What's micron? What, how is micron making this thing happen? This speed that's gonna provide these insights? >>It's a fan fan. Fantastic question and you're absolutely right. The, the world of standards is something that we found over the course of time. If you can get a group of industry players wrapped around a given set of standards, you can create a large enough market and then people can innovate on top of that. And for us in the, in the storage domain, the big transitions had been in Sada and NBME. You see that happening today when we talked a little bit about maybe a teaser for what's coming a little later at, at our event, um, in some of the broader areas in the market, we're talking about how fabrics attach storage and infrastructure. And interestingly enough, where people are innovating quite a bit right now is around using the NBME infrastructure over fabrics themselves, which allows for shared storage across a network as opposed to just within a given server there. >>There's some fantastic companies that are out there that are actually delivering both software stacks and hardware accelerators to take advantage of existing NBME SSDs. But the protocol itself gets preserved. But then they can share these SSDs over a network, which takes a scenario where before you were locked with your storage stranded within a server and now you can actually distribute more broad. It's amazing difference, isn't it at that potential of looking at data over as broad an area as you want to. Absolutely. And being able to address it directly and having it done with standards and then having it done with low enough latency such that you aren't feeling severely disadvantaged, taking that SSD out of a box and making it available across a broad network. So you guys have a huge observation space. Uh, you sell storage to the enterprise, you sell storage to the cloud everywhere. >>I want to ask you about the macro because when you look at the traditional storage suppliers, you know, some of them are struggling right now. There aren't many guys that are really growing and gaining share because the cloud is eating away at that. You guys sell to the cloud. So that's fine. Moving, you know, arms dealer, whoever wins it may the best man win. Um, but, but at the same time, customers have ingested so much all flash. It's giving them head room and so they're like, Hey, I'm good for awhile. I used to have this spinning disc. I'd throw spinning disc at it at the problem till I said, give me performance headroom. That has changed. Now we certainly expect a couple of things that that will catch up and there'll be another step function. But there's also elasticity. Yes. Uh, you saw for instance, pure storage last quarter said, wow, hit the price dropped so fast, it actually hurt our revenues. >>And you'd say, well, wait a minute. If the price drops, we want people to buy more. There's no question that they will. It just didn't happen fast enough from the quarter. All of these interesting rip currents going on. I wonder what you're seeing in terms of the overall macro. Yeah. It's actually a fantastic question. If you go back in time and you look at the number of sequential quarters, when we had ASP decreases across the industry, it was more than six. And the duration from peak to trough on the spot markets was high double digit percentages. Not many markets go through that type of a transition. But as you suggested, there's this notion of elasticity that exists, which is once the price gets below a certain threshold, all of a sudden new markets open up. And we're seeing that happen today. We're seeing that happen in the client space. >>So, so these devices actually, they're going through this transition where companies are actually saying, you know what, we're going to design out the hard drive cages for all platforms across our portfolio going into the future. That's happening now. And it's happening largely because these price points are enabling that, that situation and the enterprise a similar nature in terms of average capacities and drives being deployed over time. So it's, I told you, I think the last time we saw John, I told just one of the most exciting times to be in the memory and storage industry. I'll hold true to that today. I, I'm super excited about it, but I just bought a new laptop and, and you know, I have, you know, a half a half a terabyte today and they said for 200 bucks you can get a terabyte. Yes. And so I said, Oh wow, I could take everything from 1983 and bring it, bring it over. >>Yeah. Interestingly, it was back ordered, you know, so I think, wow, it am I the only one, but this is going to happen. I mean, everybody's going to have, you know, make the price lower. Boom. They'll buy more. We, we, we believe that to be the case for the foreseeable future. Okay. Do you see yourself going in more into the capacity market as well with SSTs and I mean, this, this, this drop, let's do big opportunity or, yeah. Actually, you know, one of the areas that we feel particularly privileged to be able to, to engage in is the, the use of QLC technology, right. You know, quad level solar for bits per cell technology. We've integrated this into a family of, uh, of SSDs for the enterprise, or interestingly enough, we have an opportunity to displace hard drives at an even faster rate because the core capability of the products are more power efficient. >>They've got equal to, or better performance than existing hard drives. And when you look at the TCO across a Reed intensive workloads, it's actually, it's a no brainer to go replace those HDD workloads in the client space. There's segments of the market where we're seeing QLC to play today for higher, higher capacity value segments. And then there's another segment for performance. So it's actually each segment is opening up in a more dramatic way. So the last question, I know you got some announcements today. They haven't hit the wire yet, but what, can you show us a little leg, Derrick? What can you tell us? So I, I'll, I'll give you this much. The, um, the market today, if you go look in the enterprise segment is essentially NBME and SATA and SAS. And if you look at MDME in 20 2019 essential wearing crossover on a gigabyte basis, right? >>And it's gonna grow. It's gonna continue to grow. I mentioned earlier the 9,300 product that we use for machine learning, AI workloads, super high performance. There's a segment of the market that we haven't announced products in today that is a, a a mainstream portion of that market that looks very, very interesting to us. In addition, we can never forget that transitions in the enterprise take a really long time, right, and Sada is going to be around for a long time. It may be 15% of the market and 10% out a few years, but our customers are being very clear. We're going to continue to ship Satta for an extended period of time. The beautiful thing about about micron is we have wonderful 96 layer technology. There's a need in the market and both of the segments I described, and that's about as much as I can give you, I don't bet against data. Derek, thanks very much for coming on. Thank you guys so much. You're welcome. There's a lot of facts. Keep it right there, buddy. We'll be back at micron insight 2019 from San Francisco. You're watching the cube.

>>live from San Francisco. It's the Q covering Micron Insight 2019. Brought to you by Micron. >>Welcome back to Pier 27 sentences. You're beautiful day here. You're watching the Cube, the leader in live tech coverage recovering micron inside 2019 hashtag micron in sight. My co host, David Floy er and I are pleased to welcome Michael Wood, Acre Cube alum and a fellow at Hewlett Packard Enterprise. Michael, good to see you again. Thanks. Coming on. >>Thanks for having me. >>So you're welcome? So you're talking about HBC on a panel today? But of course, your role inside of HP is is a wider scope. Talk about that a little bit. >>She also I'm the lead technologists in our Compute Solutions business unit that pack out Enterprise. So I've come from the group that worked on in memory computing the Superdome flex platform around things like traditional enterprise computing s it, Hannah. But I'm now responsible not only for that mission critical solutions platform, but also looking at our blades and edge line businesses. Well said broader technology. >>Okay. And then, of course, today we're talking a lot about data, the growth of data and As you say, you're sitting on a panel talking about high performance computing and the impact on science. What are you seeing? One of the big trends in terms of the intersection between data in the collision with H. P. C and science. >>So what we're seeing is just this explosion of data and this really move from traditionally science of space around how you put equations into supercomputers. Run simulations. You test your theories out, look at results. >>Come back in a couple weeks, >>exactly a potential years. Now. We're seeing a lot of work around collecting data from instruments or whether it's genomic analysis, satellite observations of the planner or of the universe. These aerial generating data in vast quantities, very high rates. And so we need to rethink how we're doing our science to gain insights from this massive data increase with seeing, >>you know, when we first started covering the 10th year, the Cuban So in 2010 if you could look at the high performance computing market as sort of an indicator of some of the things that were gonna happen in so called big data, and some of those things have played out on I think it probably still is a harbinger. I wonder, how are you seeing machine intelligence applied to all this data? And what can we learn from that? In your opinion, in terms of its commercial applications. >>So a CZ we'll know this massive data explosion is how do we gain insights from this data? And so, as I mentioned, we serve equations of things like computational fluid dynamics. But now things are progressing, so we need to use other techniques to gain understanding. And so we're using artificial intelligence and particularly today, deep learning techniques to basically gain insights from the state of Wei. Don't have equations that we can use to mind this information. So we're using these aye aye techniques to effectively generate the algorithms that can. Then you bring patterns of interest to our you know, focused of them, really understand what is the scientific phenomenon that's driving the things particular pattern we're seeing within the data? So it's just beyond the ability of the number of HPC programmers, we have the sort of traditional equation based methodologies algorithms to gain insight. We're moving into this world where way just have outstripped knowledge and capabilities to gain insight. >>So So how does that? How is that being made possible? What are the differences in the architecture that you've had to put in, for example, to make this sort of thing possible? >>Yeah, it's it's really interesting time, actually, a few years ago seemed like computing was starting to get boring because wears. Now we've got this explosion of new hardware devices being built, basically moving into the more of a hetero genius. Well, because we have this expo exponential growth of data. But traditional computing techniques are slowing down, so people are looking at exaggerate er's to close that gap and all sorts of hatred genius devices. So we've really been thinking. How do we change that? The whole computing infrastructure to move from a compute centric world to a memory centric world? And how can we use memory driven computing techniques to close that gap to gain insight, so kind of rethinking the whole architectural direction basically merge, sort of collapsing down the traditional hierarchy you have, from storage to memory to the CPU to get rid of the legacy bottlenecks in converting protocols from process of memory storage down to just a simple basically memory driven architecture where you have access to the entire data set you're looking at, which could be many terabytes to pad of eyes to exabytes that you can do simple programming. Just directly load store to that huge data set to gain insights. So that's that's really changed. >>Fascinating, isn't it? So it's the Gen Z. The hope of Gen Z is actually taking place now. >>Yes, so Gen Z is an industry led consulting around a memory fabric and the, you know, Hewlett Packard Enterprise Onda whole host of industry partners, a part of the ecosystem looking at building a memory fabric where people can bring different innovations to operate, whether it's processing types, memory types, that having that common infrastructure. I mean, there's other work to in the industry the Compute Express Link Consortium. So there's a lot of interest now in getting memory semantics out of the process, er into a common fabric for people to innovate. >>Do you have some examples of where this is making a difference now, from from the work in the H B and your commercial work? >>Certainly. Yeah, we're working with customers in areas like precision medicine, genomex basically exaggerating the ability to gain insights into you know what medical pathway to go on for a particular disease were working in cybersecurity. Looking at how you know, we're worried about security of our data and things like network intrusion. So we're looking at How can you gain insights not only into known attacking patterns on a network that the unknown patents that just appearing? So we're actually a flying machine learning techniques on sort of graft data to understand those things. So there's there's really a very broad spectrum where you can apply these techniques to Data Analytics >>are all scientists now, data scientists. And what's the relationship between sort of a classic data scientist, where you think of somebody with stats and math and maybe a little bit of voting expertise and a scientist that has much more domain expertise you're seeing? You see, data scientists sort of traversed domains. How are those two worlds coming together? >>It's funny you mentioned I had that exact conversation with one of the members of the Cosmos Group in Cambridge is the Stephen Hawking's cosmology team, and he said, actually, he realized a couple of years ago, maybe he should call himself a day two scientists not cosmologist, because it seemed like what he was doing was exactly what you said. It's all about understanding their case. They're taking their theoretical ideas about the early universe, taking the day to measurements from from surveys of the sky, the background, the cosmic background radiation and trying to pair these together. So I think your data science is tremendously important. Right now. Thio exhilarate you as they are insights into data. But it's not without you can't really do in isolation because a day two scientists in isolation is just pointing out peaks or troughs trends. But how do you relate that to the underlying scientific phenomenon? So you you need experts in whatever the area you're looking at data to work with, data scientists to really reach that gap. >>Well, with all this data and all this performance, computing capacity and almost all its members will be fascinating to see what kind of insights come out in the next 10 years. Michael, thanks so much for coming on. The Cube is great to have you. >>Thank you very much. >>You're welcome. And thank you for watching. Everybody will be right back at Micron Insight 2019 from San Francisco. You're watching the Cube

>>live from San Francisco. It's the Q covering Micron Insight 2019 to You by Micron. >>We're back to Pier 27 in lovely San Francisco, Everybody. I'm Dave a lot with my co host, David Floy Er and you're watching the Cube, the leader and live tech coverage. Evan cursed Ellis here. He's a social digital influencer. First time in the Cube. Evan, Great to see you. >>Thanks for having me. First time's the best. >>You Very well. And it is beautiful. Out him in October is the best month in San Francisco. Way better way warmer than July. I mean, you live out here. Holy cow. All right, let's get right into it. You're just fresh off of mobile work. World Congress down in L. A. >>This morning. Yeah, five g on the brain's >>s. So what do we need to know about five g? You >>know, I think my big takeaway as an industry observer is that five g Israel, and it's now I mean, we've seen 5 10 years, maybe of hype, an expectation and marketing buzz and even spin. But I think we're now in the business of practical deployments, scaling rollouts of networks and that's, you know, as a industry observers, quite exciting. >>So what is five g mean for the average user? I mean, is it gonna be like going from dial up toe, high speed Internet or, you know, it's gonna be interesting. >>The average user, I think we'll experience, you know, like a 10 x increase in their current experience on mobile in terms of uploads and downloads and speed and Leighton see, And that kind of thing, which is super exciting, it's it's gonna blow people's mind. >>An ex stoked to get a 10 extra. When can I get this? >>It's when and it's where, right? I mean, if you look at how these networks are evolving, there are hundreds of thousands of small cells of base stations that have to be deployed naturally to get five G ubiquitous across the country. So it's it's when it's where it's how. But we're here. We're at the starting point and look for the next years and months ahead to see that riel attraction. >>If I look now when I travel around the country, I still have four G. I still have three g. I still have edge. I have a ll the old ones are still there, and it's taken forever, even just to get to 40. So isn't lesson. Isn't the rollout of this going to take a long time ago or 10 year horizon? >>I think, to get ubiquitous coverage indoor, outdoor, suburban, urban, rural It's going to take 10 years. But if you look at those hot spots that generate a lot of activity, whether it's, you know, indoor coverage in the Enterprise, whether it's, you know, the Bruins playing in Boston Garden I mean those air where five G is really going to come into play first and then it's going to sort of go outside of those urban dense areas. >>You mean like the fan experience in the fan experience in the venue >>is huge? I mean, if you go to any you know, baseball, basketball, football game, you know what the experience is like Pretty pretty bad, right? So horrible. So those kind of hot spots are ripe for five g like right away today. Now, >>so by the way, David, sometimes I get five g on my that's right, and I feel like it's fake. Five years like HD ready. What's that all about? Well, you know, >>these networks evolve, and so the carriers are maximizing for G, including biggest speed on four G and five. Gene is really if overlay to these existing networks. And so, as you get your next Samsung, you know five G enabled devices. Apple next year comes out with a five G iPad. You'll then begin to use. The service is as you use your existing device. >>Can you help us understand the fundamental architecture of five G? My understanding is it's, you know, no basis more distributed on. That's part of the reason why it's taking so long to roll out. But what do we need to know about that E? >>I think it's a brand new editor interface. So if you think about the current radio on for G, they reinvented the wheel with five G, which means you can support a huge number of endpoints of I o. T devices of wearables of home access points. And so it enables almost a 10 to 100 ex war devices in terms of scale. So while the end user may think this is business as usual, what's really happening on the network side is pretty revolutionary And once the networks are primed and built and ready, what's gonna be happening on the device side is gonna be really extraordinary. You're talking about a K A video on a mobile device or augmented reality through in new kinds of glasses. And so it's sort of a chicken and a little bit. You know what? She's gonna come first, the network or the incredible new devices. So we're seeing now the network's being put in place for those wave of devices, >>which makes sense. Device manufactures don't want over rotate into something that's not quite. >>But if you look at the network, it's you have to have a lot of device is very close to each other. I in my area that all these the holdings holding these hearings about radiation, everything else like that, which is never, never really a problem unless you're underneath. >>Yeah. I mean, there's a lot of fun, you know, fear, uncertainty around five G. >>Yeah, and I'm just the practical thing. You gotta have all of these lots of these very close in the The exposure to having a gap of some sort is pretty high. >>Yeah, I think it's an issue of frequencies as well. Right now, we're seeing very high frequency five deployed for those dense urban suburban areas. We're going to Seymour Spectrum rolled out next year. The FCC is putting out new auction so you'll see lower bit rate five g rolled out for suburban and rural areas. So it's a It's a work in progress, but the fact that we have first devices first silicon for software first networks. It's kind of a big inflection >>point, but some bumps. I'm inferring this ATT the back end. It could be a lot of machine to machine communications, so that's kind of sets up this whole coyote and an edge discussion. And of course, that means more data. What can you tell us about how that's going to affect really the amount of data and how we use that data? >>The data explosion is extraordinary. I mean, we experience this as early adopters here at the table every day, and so no one's ever said, you know, my network is fast enough is good enough, secure enough. There's always that insatiable appetite now, given the connected world in which we live. And so it's not just the network speed it's the input output of the device. I mean, we have Leighton see that frankly, from these networks operates at the speed of the human brain, you know, in in milliseconds, in terms of input output on the network. And so that's really gonna change the user experience to when the way you do gaming or collaboration or video conferencing video calls and all these service is we use today will be much more tuned to how we live and work. >>So dial upto high speed Internet obvious Are you want? I'll update you say you go back. I'm also I know remember this stuff But that was a significant change. Obvious step change, really a step function. Exactly. But subsequent to that it was I could doom. Or but it was just so much more data and acts were flowing through the network that it really didn't change the experience a little bit. Maybe, actually, you know, be careful. I watched the Patriots game on the plane on the NFL app on the way out here, which could probably have done a year or two ago, but so that was that's goodness. But generally speaking, the experience is substantially similar. Will you said a 10 X before? Will the user actually see a difference like that kind of dial up to high speed step function? Or is it going to be sort of a slow roll? >>I think the user will see a big a big improvement because of the efficiencies of the network and the way in which data is kind of throttled and limited. Today, with three and four for G networks, I think more interestingly, is how businesses and enterprises and sm bees will consume. Five g. I mean, there are a lot of antiquated networks out there, whether it's legacy wired Network, D S. L. Whether it's, you know, crappy WiFi that we all experience in hotel rooms, five g has the opportunity to come in and really displace all of that legacy crap that that's in our networks and give users in those enterprises hotels, venues, a brand new experience. And when's the last time you had a bad hotel? WiFi, for the idea of, of getting rid of a legacy network and delivering those high speed service is from a public network. It's her Private networking is a really exciting opportunity for the carriers and, really, for the B two B enterprise. >>Well, the technology suppliers are pumped about their pumped and their >>look at their profitability, their revenue, their sales. Everything's up. >>Well, the thing is that that is, the carriers, like you say they have no choice but to remain competitive. They have to consume. They have to spend more >>on what a great time in the mobile industry. I mean to be a consumer of devices and service is, I mean, the consumers that businesses are winning in this march. >>So tell us about Mobile World Congress. What was the vibe? It was >>very buzzy. I mean, there were lots of Rhea World applications on display, whether wearable devices for health care and hospital T applications. There were examples of remote controlled autonomous shipping and autonomous trucking monitored, supervised with five G. There were examples of vehicle to vehicle communications for accident, safety purposes being deployed in the next generation of cars baked in, and so five. He's gotten very practical. Now it's like, Okay, we've built this network, we have silicon, we have software we have storage memory out of we deploy it so is very focused on deployment usage and an application. >>If you take that one of automotive, for example, if you're a god, health and life on your If you If you can't guarantee that you've got connectivity toe, what's the value wouldn't do? For example, wouldn't you prefer vehicle to vehicle direct communication, as opposed to going outside to some much faster? >>Exactly. Exactly. And there's a new technology called vehicle Be two extra people vehicle standards that are being baked so that that's not funny. It's based on the five of the family of standards, and so one of the technologies within the five G family is vehicle to vehicle. Qualcomm's doing some amazing work there. And once the automobile manufacturers baked that technology into cars, the car manufacturers can then build in vehicle avoidance, vehicle collision technology and so forth. >>So I'm worried that was some talk about a I right? I mean, lots of talk that mobile world Congress, you're gonna hear a lot about here. What about the ecosystem that's emerging to support five G? There's gotta be a whole value chain specialized chips. I mean, obviously, micron, you know? Yeah, you know, the >>whole supply chain has to come together and Micron powering all of these devices with memory and storage to the application developers to the O E ems to the network providers. And so that ecosystem is getting really baked, fully baked and and integrated. And that was on display at MWC, too. So all these things are coming together, and I think it's pretty exciting. As a long time skeptic like yourself. I saw some real world. >>I say, I'm excited about it. I just I'm just not holding my breath. Don't >>hold your breath. Not >>recommended weight. That's great, Evan. Thanks very much for coming in. Thanks so much. Appreciate your insights. Thanks so much. Thank you for watching. Keep it right there. But it will be back from Micron Insight 2019 from San Francisco. You're watching the Cube?

>> Announcer: Live from San Francisco, it's theCUBE. Covering Micron Insight 2019. (upbeat music) Brought to you by Micron. >> Hi, everybody, welcome to Pier 27 in San Francisco. My name is Dave Vellante and I'm with my co-host, David Floyer. And you're watching theCUBE, the leader in live tech coverage. This is our coverage of Micron Insight 2019, #microninsight. David, I love this show because, well, of course we're going to talk about Micron and memories and DRAMs and NANDs and all that techy stuff. We're also going to sort of set the tone on this day. It's a really thought leadership day and we talk a lot about AI and Edge and the big mega trends and superpowers, the cloud, mobile, that are really affecting demand and it all starts with data. So, Micron is a company that we're going to talk about and talk about in detail. But what are you seeing, David, as the big trends that are driving demand for bits? >> For bits. Well, let's start with the Edge that you were talking about. The Edge is growing and it's going to grow very, very strongly indeed. It's going to grow with smaller processes, it's the ARM processors at the Edge doing inference processing, capturing the data, and wanting to do that capturing of the data and the processing of that data as close to the origin of that data as possible. So memory and all of the, the NAND is moving out to the Edge itself. And it's going to be lots of smaller processes as opposed to the lots of big processes. >> Let me ask you a question. We've been following these markets for many, many years and, of course, when we started in the business it was all mainframe, and that was really what drove the consumption of data, and then the PC changed that. >> David: Took over, yep. >> And then that, you used to count markets. We used to do that all the time, and there was much more data going to the laptops and desktops, the Internet began to change that and of course, cloud sort of re-centralized a lot of the spending, and a lot of the buying power. Do you see, is it a pendulum swing again, is it that dramatic? Or do you see it as different? >> Like all big trends, the center still remains. So, the center now is cloud. Still mainframes is part of that cloud. That has to remain, and that is just much more economical for large-scale processing. That's the most economical. However, also the economics of it is that moving data is very expensive. It's very expensive in terms of the effort and it also, when you move data, you lose context. So, if you want the best context, and if you want to do things in real time, you want to process that data in real time as close to where it was produced as possible. So, yes, there will be a very big swing in the amount of processing and the amount of important processing that happens at the Edge. >> So, from the standpoint of things like NAND and flash, Steve Jobs changed everything when they decided to put flash inside of the iPhone. >> Actually not the iPhone. >> In the iPod, actually. >> iPod, yes. >> That drove massive massive, that was the beginning, the dam breaking, and what happened is that volumes went through the roof, cost went down, and that's really when you first predicted way back in the early part of this decade that NAND and flash would affect spinning disc, and it clearly has. Pricing maybe hasn't come down as fast as we thought because of supply constraints. But, nonetheless, it's happening. And now the prices are coming down more. You've seen somewhat of an oversupply in NAND. Prices have come down pretty substantially. And there's elasticity. Ever since we've been following this market, you've seen when prices drop, people buy more. At the same time, you saw like Pure Storage last quarter said, well, the prices dropped faster than we thought, it actually hurt our revenue. Because it just happened so fast in the middle of the quarter, that it hurt pricing overall for the subsystems, but nonetheless, that's the trend that we see happening. It feels like there's a new wave or a new step function of consumption going on with regard to flash. What are you seeing? >> Yes, flash was always about performance before, and there were two constraints to flash, in terms of its impact on the whole industry. The first was that the protocols that were used in flash were the old fashioned protocols that were used for HDD. Now, those have improved enormously with NVMe, et cetera, and those have got much, much better. So, that increases the demand for that flash. The usefulness of flash is now much better. And the second is, in terms of, that's high performance, there's high-capacity flash, and now flash is growing in two dimensions. It's growing in the number of layers, but it's growing from SLC to MLC to TLC to QLC in terms of the number of bits that it can pack into it. >> So, those all have cost implications on the cost per bit, obviously? >> Sure. Both of those are reducing the cost per bit, and making it available for different markets. So the capacity market, now as the prices come down, mean that it's going to take a bigger bite into the HDDs. In data center, it's going to become the norm just to have flash only. >> Micron's a little bit late to NVMe, but they're now hopping on board. Actually, you've made the comment to me in previous discussions, that they've actually timed things pretty well. >> Yeah. >> You kind of didn't want to over-rotate to NVMe. I know Pure was first, but Pure's a relatively small part of the marketplace. It seems like now everybody's going to NVMe. And basically what this does, as you pointed out, it eliminates a lot of the sort of older, slow, over head chatty protocols, and now it's like a bat phone right to the data. What are you seeing in terms of NVMe adoption? Is it now mainstream? >> Yes, we're predicting that in 2019 50% of the drives will be NVMe drives. That's a very rapid change. >> Let's up-level a little bit. We're talking about all of this geeky stuff down here, but what I'm interested in is why we need this. And the obvious question is there's so much more data now but it's also, AI. We talk a lot about the new innovation sandwich of being data plus AI plus cloud, combine those things together and that's really what's driving innovation. How real is AI? I presume we need all this stuff to be able to support these data-driven workloads, but how real is AI? It feels like it's pretty substantive. When we go to a lot of these shows, you hear about digital transformation and all these buzzwords and the Edge and IOT. 'Course, AI's one of the big buzzwords, but it does really actually feel like a superpower to invoke one of Pat Gelsinger's words. >> Yeah, it is. And AI could only operate if there was all that data available, so it's the availability of that data, because the algorithms and AI go back a long way. There's nothing new in that. But AI has now the availability of processing that data, large amounts of data, which makes it much more powerful. And now you're getting AI in things like a cellphone, the amount of AI that goes into recognizing your face is enormous. And it's now practical, everyday things are being done in AI, and it's going from being a niche to being just everyday use. And it's impact longterm is profound. It'll do all the jobs that humans do, many of the jobs that humans do, much more efficiently. Driving a car. It'll be better at driving a car than human beings are. >> Yeah, you see AI everywhere, you're right. Ad serving still stinks, but it's getting better. Fraud detection's getting much, much better. Email is now finishing my sentences for me. Right, you've noticed that in the last year or so. Basically say, oh, I like that choice, boom, I'll take it. And so as much as we hate autocorrect... And so those are some small examples, but what the industry likes to talk about is how it's changing lives, what it's going to do for healthcare, autonomous vehicles. Those are some of the big-picture items. >> David: Really big things. >> Which really haven't kicked in yet, just in terms of, or have they? In terms of consuming demand, for things like DRAM and NAND? >> It's relatively small at the moment but it has the potential to be very large, obviously. >> Dave: Go ahead, finish your thought. >> Because in the next 10 years we're going to see automated cars, it's going to be in pieces. You're going to have the trucks going first, and then other cars later. >> I know you're fairly sanguine and optimistic about autonomous vehicles, I know there are a lot of skeptics out there that talk about, we don't have enough data and we'll see, but we'll talk more about that. But I want to talk about Micron a little bit. Micron's a company, last year they were a $30 billion company, they got $23 billion in revenue this year so dramatic drop in revenues. And that was really due to the change in the supply/demand dynamic. Now, historically, when these things happen the stocks of these companies would just, you could predict it, you'd say, okay, time to sell, 'cause here comes the over-supply. And then when they hit the bottom, time to buy. Micron's done an amazing job of sort of steadying that. Managing its demand and supply balance. Also, obviously doing share buybacks that help the stock price, but the stock price has held up pretty well. So Micron's now a $23 billion company, last year they threw off $17 billion in free cash flow, this year, 13 billion. But still, well over 50% of their revenue's going back to free cash flow, which is quite large. Their market cap's 51 billion, so they're trading at a 2.2X revenue multiple, which is very strong. And they've got a 30% gross margin, right? The PC business, think about that. The DRAM, this is a good business, right? That's a nice business, because they don't have a giant direct sales force, so they don't have that cost, it's all through OEM. It's a fairly efficient business, and they've managed it pretty well. Your thoughts on Micron as a company. >> Yes, they have. They've managed the timing of every new release very well indeed. If you go too early, you over-rotate, then you are struggling to get that out. The costs are higher, and the people who are selling the previous generation are going to do better. But they've always timed it perfectly. >> Yeah, now they're facing some challenges. I talked about the supply/demand imbalance, but they're managing that. China, the tariffs hurt them. Huawei, was a big customer. They can't sell the Huawei anymore. China coming after companies like Micron, really going after consumer flash, building fab capacity to begin with, and then eventually China is going to aim at the higher value enterprise. What are you seeing there? >> I agree with you. They've had to rotate because of this problem with the tariffs that have been put on China. So, what's the reaction? They're going to have to invest. And that, long term, is good news for consumers and good news for everybody else, but it's going to be bad news for other people in the business. >> So, a bunch of announcements today. We can't talk about it, 'cause they're not public yet, but you're going to see some SSD stuff coming out. Maybe some acquisitions announced, you might see some other things around 3D XPoint, which is something that we really haven't talked much about but we will, I know your thoughts on that are it's still kind of niche. Remember the HP Memristor, right? Which is, nobody talks about that anymore. But now Micron's in a different situation. They'll figure out, okay, where that fits, but it's still a niche in your view because it doesn't have the volume. But we're going to be talking about that stuff. But, again, up-leveling the conversation to some of those big mega trends, those superpower drivers, data, AI, IOT, and the Edge, and some of the things that are really driving change, in not only industry but also our lives. So, David, appreciate the insight. David and I will be here all day today. You're watching theCUBE from Micron Insight from San Francisco. We'll be back with our next guest right after this short break. (upbeat music)

>>live from San Francisco. It's the Q covering Micron Insight 2019 to You by Micron. >>Welcome back to San Francisco, everybody. We're here. Appear 27 covering the micron inside. 2019. I'm David Lot day with my co host, David Flores. Sanjay Moreau chose here. He's the president and CEO of Micron. Sanjay, great to see you again. Good to >>see you, too. >>I love the show because you guys are a highly technical company. You get you get down in the weeds and talk about nano meters and cycles and things like that. But we're here talking about technology, how it's changing people's lives. I mean, you see, that is your mission. So tell us a year on what's new from this >>event. You new at this event is so many new products that we announced today. You know, you see, Micron, I'd like to say that my clone 41 year old, but it has a new heart beat and you see that new heartbeat coming through New innovations, new products, you know, several new solid state drive solutions. Breakthrough speeds portable. SSD renounced our tent, a security solution as well as demonstrated test platform a platform for deep learning algorithms to be applied, enabling influence at EJ. So you see my front continuing to focus on driving high value solutions, engaging deeper with the ecosystem, engaging with our customers to understand what are the main points off the future and bringing innovative technology solutions. And, of course, during the course of last year in a while it was a year where memory pricing went down substantially because of some excess supply forces demand. But my crone, actually in that year produced the second best year in the history of the company. And during the year, he also had the second best year for free class cash flow for the company, >>about $13 billion in nearly 12 months. I want to get into some of that. But before I do our industry and you know this well has marched to the cadence of Moore's law for decades and decades of that has been the innovation engine. It no longer is. You talked about that on your panel today, the innovation engine is now data applying machine intelligence and a I and machine learning to that data scaling with cloud. Now the edge comes into a whole new innovation cocktail. I wonder if you could comment on that in terms of what it means for your business. >>So, yes, in terms of innovation, challenges you to Morse law scaling, but also the workloads that are there today, driving the eye of the future required, nor the solutions of yesterday. They require new, innovative architectures. I like to call them be spoke processors like you have a new custom suit for that fits a particular individual. Now baseball processors that actually meet needs off the specific workloads. But what is important is that as these new innovations, new architectures proliferate through the ecosystem. Memory and storage is key because the trends off the eye, after all, are about drawing deeper insight and creating greater value from all the data that billions of devices the coyote devices are creating around the world. So tremendous support unity for memory and storage. We are focused on bringing solutions with Denham with flash that meet the needs of our customers in terms of performance be announced today. You know the highest clocking speed for our ballistics. Dylan. You know, a delight to the gamers, but we also announce new SS D's for enterprise application, we announce a three d cross point x 100 solid state drive with the fastest in the industry kind of performance. So these are the kind of things were focused on. Yes, technology is getting more complex in and, you know, event from 64 layers to 96 layers. And next year, going 228 layers on Dedham side were the first ones to introduce the ones e technology Norden the industry and actually forced ones to start shipping already in production in the industry. This one z dina nor has the smallest feature size. So these are new, exciting things that are happening at my crime. >>I mean, Sanjay's right. They see all these alternative processes going on. You see, cos tech companies building their own custom silicon, right? I mean, >>so yes, way we're seeing these hybrid solutions being put together on dhe, seeing that the rise of new players completely like arm, for example, now taking a more and more important part in that. So But I'd like to just ask one question on three D cross point that that was an interesting one. How you gonna get volume in that is there going to be through working with some of these other vendors? Because Intel have just combined it with The process is essentially, Are you looking at new ways that you can use that at the lower end to get volume up? >>Where's that fit in your overall strategy? >>Certainly, as we said in the memory hierarchy, TV Cross Point fits in very nicely between NAND on one end and Di Dam on the other end city cost point as a persistent memory gives the benefit that it has capacities, ship densities that can be higher than Denham. Yet it has performance that is close to Denham and much faster than then. And it has the persistence, the non volatility that man has as well. So you can imagine with those kind of attributes, it will have exciting new opportunities in the future. But these new technologies do take several years before they become mainstream technologies. This is still early innings for three D plus point technology. Be engaged with the ecosystem partners with the customers in terms of understanding how this will fit in best in terms of their data center applications. This is what we have started working on This is what we announced the product. And we'll, of course, continue to evolve. The road map are pretty cross point technology. I just also want to touch upon what you said that Yes, you do see that compute now is not being just done like yesterday with CP use. Yes, you do have that idea of solutions. Si pues gp used tp use a six and f bjs. And here's some of the social media giants and those tech giants that are driving innovation in various industry segments, including transportation. They have their own silicon, you know, to address their deep learning requirements, and that creates new. Unfortunately, for us, this is what we call putting silicon back into Silicon Valley. Silicon is driving the innovations today that are coming out of Silicon Valley, regardless off world and market segment and Member Lee and storage is very much at the heart is at the center of yours. >>So you know I want to retire about vertical integration and one of my business early business heroes was Al Shugart. When I was a young puppet, i d. C. And he educated me on the importance of vertical integration and his market, which of course, was spinning destroys heads, media, etcetera. That was a game changer for that that you know, emerging company at the time. See gate. How is vertical? What your philosophy and vertical integration And how does it affect your business and your customers? >>So vertical indication enables us to bring value to our customers, bring greater value to our customers. We have a massive scale off manufacturing that is built on a very comprehensive and actually the world's most unique technology platform. Now taking this vertical integration of the technology platform manufacturing scales off, you know, more than six million acres a year and extending it to controller and form their expertise deep packaging expertise to bring high bandwidth Delia memory solutions for data center applications as well. A solid state drives and multi chip manage nan solutions for smartphone and automotive applications. These are just examples off how we're leveraging our vertical integration, extending it into controllers and firmware and packaging and assembly capability to really bring a diverse and expanded product for a full year to the market, do air just the markets needs from cloud to the edge. And now we're extending our work till indication capabilities even deeper from we have gone from silicon two solutions and now going from also silicon. Two solutions to system and software working with customers to understand water, the hardware and software intricacies involved that can help bring out even more power from the memory as they look at, you know, driving their deep learning algorithms for training as well as for influence. I think this is the vertical integration on build on the most unique platform of technologies. Nobody else in the world has Denham, NAND and CD cross point now building vertical indication on this gives us tremendous defense created opportunity to bring value to our cast. >>A troll more value or being able leveraged. I wanna ask you about your business. You mentioned a record number two free cash flow year for you guys. Two summers ago, I listened to you at the analyst, the Wall Street analyst meetings in you. We're very much aware of the demand and supply pending imbalance that was coming. And you said at the time we're gonna manage through that much better than we have. Historically, it reminds me of airlines when you go when you fly now there's no empty seats, so and you've done a masterful job. The stock prices stayed up. Now, granted, you know you've reduced share count. But how have you done that? What is the new discipline that has allowed you to navigate through those icebergs? >>Soviet Full focus on accelerating our technology development. We're focused on making, for example, technology development exploration. I mentioned earlier being the forest to the market with one C D M, which has the smallest feature size, right. That ability to accelerate technology development and deploy it in production to meet our CUSTOMERSNEEDS gives us ability to manage cost reduction ability as well. So Micron has actually in terms of cost reductions on a year over year basis has led the industry both on the same side as well as the NAN site. This has contributed to stronger financial performance of the company. During 2019 there, prices came down due to some excess supply in the industry, and yet Micron, due to its healthy cost position, was able to produce better financial results as well. Another very important element is increasing the mics off high value solutions, infusing the mics off SS D's and Managed man for mobile applications, as well as bringing more high performance memory to the Bennett, did a memory to the benefit of our customers. High value solutions, Cost positioning, technology acceleration. These have bean the elements that will give us long lasting advantage in terms of continuing to weather the potential ups and downs in our industry. And, you know, yes, we're proud of the fact that, unlike in the past, in an environment like will be experienced in 2019 with respect to price declines, Micron would have had media challenges Micron actually delivered, as I said, the second best year in terms of revenues profits as well as free cash flow. And I want to highlight that we narrowed the gap with our competitors. We narrow the gap with our competitors in terms of orbital margin again as a result, off a stronger, more diversified high value product portfolio and our cost reduction capabilities. >>Yeah, and you've also done a great job communicating to Wall Street. So my last question I know you gotta go is around tech for good. Mark Betty of's been really front center on this. You said that are really jar job is to make lives better, because I still say your job is to increase shareholder value as well. Whoa is the CEO who Mrs 4/4 in a row, but then points to tech for good at the same time. New new workers millennials expect checked for good. How do you see those fitting together? What's your philosophy? There >>were very passionate at Micron that it is important for us that we support the communities that be working where our team members 11. Yes, we want to dry for betterment of humanity through bringing the benefit off our technologies and products, you know? And of course, you see your life's changed with the benefit of more memory and storage, whether it is in your smart home or your smartphone or all of the benefits that you're getting from advances in technology today. But we also absolutely have a social responsibility going from customers to communities, really making sure that we had a good corporate citizen. So at my crone, philanthropy is important doing this year. A microloan foundation is matching our team members contributions, and through that through our team member contributions as well as our match, we have given two and 1/2 $1,000,000 to the communities during the course of the year. We have also supported several new initiatives related to stem education as well as basic human needs again in all the countries and sites where micro nasty members. And actually Micron Foundation has given $11 million during our fiscal year 2019 for supporting various causes toward basic human needs, as well as advancement of science, technology and generating and map. And, most importantly, microphone team members more white have contributed 165,000 hours in community giving, volunteering activities, and we are trying to continue to take our engagement with the community to the next level. I considered it very, very important that and our responsibility that is not only about producing best business results, but we need to help our communities and people in need get to the next level off betterment as well. And it's part of there's diversity and inclusion and equality is a very, very important initiative at the company as well. And we're making tremendous progress in that respect as well. That's >>a great story, Sanjay. Thanks. Um I know you're super busy. Get a bunch of customers to see you're an awesome CEO and doing a great job. Really appreciate you taking the time to come on the Cube. Thank you. Thank you >>for being here with you today. >>Fantastic. All right. Thank you for watching. Everybody will be right back with our next guest. Live from Micron inside. 2019. You're watching the Cube?

>>live from San Francisco. It's the Q covering Micron Insight 2019 >>Not to You, by Micron. >>Welcome back to San Francisco, everybody. This is a Micron Insight 2019 and you're watching the Cube, the leader in live coverage on Day Volonte with my co host, David Floyd. Di Mooney is here. She's the executive director of Micron gives. That's right. Give us the story. What's happening with Micron gives Tech for good. We love the tech for good stories. Tech companies are really taking this seriously. This is not just lip service. Give us the update. >>That's right. That's right. We're so proud of our company that they established a foundation 20 years ago to give back to our global communities. And since then we have given $115 million away and over 10,000 grands. So we have seen a lot of different opportunities in our global communities, and it's just been fabulous that our company supports >>you talk today about water dot or what's going on there. Why is that important in what your role there. >>So what we did is we started taking a look at an organization that we have. We have started recently binning beam or engaged with basic human needs and the grants that those support And when we were taking a look at, Really, what is the primary basic human need? Way discovered? It really is the need for water, and there are millions of people that cannot access this precious resource, and it's just was really surprising to us to think way, take it for granted so much. But yet it is very difficult to get. So as we took a look at this, there was a lot of information that this organization collects. And so we thought, Well, this will be a great opportunity for us to utilize information to enrich and bring in some of our advanced computing expertise along with our philanthropy, help them reach their mission even greater. >>This is huge. I was an event earlier this week, and the keynote speaker was an ultra marathoner, and he literally at one point he ran 4500 miles across the continent of Africa. He and two other ultra runners and people were asking what was The biggest challenge was that the heat was the painting. You know, the biggest challenge was see the challenges of of the community's getting part of the water. That was the number one thing that you know. He left the impression So I mean, this is a huge global problem. >>It really is. And our manufacturing operations were global, and we are located in water scarce areas of the world. And so what really became you know, it's a Micron issue to one of our biggest environmental issues that we talked about, and water dot org's has just been a >>leader in this space, and it has been just fabulous to work with on >>really, they have so much passion and dedication towards this. They've been ableto help. 22 million people already. >>All right, so they're lining up for the main stage. Just give us real quick some of the grants that you guys have. >>Last year at this event, we announced our advancing curiosity, and we announced three recipients last year, and since then we have four more. That's U C L. A. All right T, University of Texas at Austin and University of Washington. >>Awesome. That's great. Listen, congratulations. D on all your great work. We really appreciate your ticket sometime in the queue. All right, and thank you for watching her body. We're back with our next guest from Micron inside. 2019 on the Cube, right back.