>>Hey everyone, welcome to this cube conversation. I'm your host Lisa Martin, and I have the pleasure of welcoming back our most prolific guest on the cube in its history, the CMO of Fin Ad, Eric Herzog. Eric, it's great to see you. Welcome back, >>Lisa. It's great to be here. Love being on the cube. I think this might be number 55 or 56. Been doing 'em a long time with the Cube. You guys are great. >>You, you have, and we always recognize you lately with the Hawaiian shirts. It's your brand that's, that's the Eric Hizo brand. We love it. But I like the pin, the infin nut pin on brand. Thank you. >>Yeah. Oh, gotta be on brand. >>Exactly. So talk about the current IT landscape. So much change we've seen in the last couple of years. Specifically, what are some of the big challenges that you are talking with enterprise customers and cloud service providers? About what, what are some of those major things on their minds? >>So there's a couple things. First of all is obviously with the Rocky economy and even before covid, just for storage in particular, CIOs hate storage. I've been doing this now since 1986. I have never, ever, ever met a CIO at any company I've bid with. And I've been with four of the biggest storage companies on this planet. Never met a cio. Used to be a storage guy. So they know they need it, but boy, they really don't like it. So the storage admins have to manage more and more storage. Exabytes, exabytes, it just ballooning for what a storage admin has to do. Then you then have the covid and is it recession? No. Is it a growth? And then clearly what's happened in the last year with what's going on in Europe and the, is it a recession, the inflation. So they're always looking to, how do we cut money on storage yet still get what we need for our applications, workloads, and use cases. So that's definitely the biggest, the first topic. >>So never met a CIO that was a storage admin or as a fan, but as you point out, they need it. And we've seen needs changing in customer landscapes, especially as the threat landscape has changed so dramatically the last couple of years. Ransomware, you've said it before, I say it too. It's no longer if it's when it's how often. It's the frequency. We've gotta be able to recover. Backups are being targeted. Talk to me about some of, in that landscape, some of the evolutions of customer challenges and maybe those CIOs going, We've gotta make sure that our, our storage data is protected. >>So it's starting to change. However, historically with the cio and then when they started hiring CISOs or security directors, whatever they had, depending on the company size, it was very much about protecting the edge. Okay, if you will, the moat and the wall of the castle. Then it was the network in between. So keep the streets inside the castle clean. Then it was tracking down the bad guy. So if they did get over, the issue is, if I remember correctly, the sheriff of Nottingham never really caught Robinhood. So the problem is the dwell time where the ransomware malware's hidden on storage could be as much as 200 days. So I think they're starting to realize at the security level now, forget, forget the guys on the storage side, the security guys, the cso, the CIO, are starting to realize that if you're gonna have a comprehensive cybersecurity strategy, must include storage. And that is new >>That, well, that's promising then. That's new. I mean obviously promising given the, the challenges and the circumstances. So then from a storage perspective, customers that are in this multi-cloud hybrid cloud environment, you talked about the the edge cloud on-prem. What are some of the key things from a storage perspective that customers have to achieve these days to be secure as data volumes continue to grow and spread? >>So what we've done is implement on both primary storage and secondary storage and technology called infin safe. So Infin Safe has the four legs of the storage cyber security stool. So first of all is creating an air gap. In this case, a logical air gap can be local or remote. We create an immutable snapshot, which means it can't be changed, it can't be altered, so you can't change it. We have a fenced forensic environment to check out the storage because you don't wanna recover. Again, malware and rans square can is hidden. So you could be making amenable snapshots of actually malware, ransomware, and never know you're doing it right. So you have to check it out. Then you need to do a rapid recovery. The most important thing if you have an attack is how fast can you be up and going with recovery? So we have actually instituted now a number of cyber storage security guarantees. >>We will guarantee the SLAs on a, the snapshot is absolutely immutable. So they know that what they're getting is what they were supposed to be getting. And then also we are guaranteeing recovery times on primary storage. We're guaranteeing recovery of under one minute. We'll make the snapshot available under one minute and on secondary storage under 20 minutes. So those are things you gotta look for from a security perspective. And then the other thing you gotta practice, in my world, ransomware, malware, cyber tech is basically a disaster. So yes, you got the hurricane, yes, you got the flood, yes, you got the earthquake. Yes, you got the fire in the building. Yes you got whatever it may be. But if you don't practice malware, ransomware, recoveries and protection, then it might as well be a hurricane or earthquake. It will take your data, >>It will take your data on the numbers of customers that pay ransom is pretty high, isn't it? And and not necessarily able to recover their data. So it's a huge risk. >>So if you think about it, the government documented that last year, roughly $6 trillion was spent either protecting against ransomware and malware or paying ransomware attacks. And there's been several famous ones. There was one in Korea, 72 million ransom. It was one of the Korea's largest companies. So, and those are only the ones that make the news. Most of 'em don't make the news. Right. >>So talk to me then, speaking and making the news. Nobody wants to do that. We, we know every industry is vulnerable to this. Some of the ones that might be more vulnerable, healthcare, government, public sector education. I think the Los Angeles Unified School district was just hit as well in September. They >>Were >>What, talk to me about how infin out is helping customers really dial down the risk when the threat actors are becoming more and more sophisticated? >>Well, there's a couple things. First of all, our infin safe software comes free on our main product. So we have a product called infin Guard for Secondary Storage and it comes for free on that. And then our primary storage product's called the Infin Box. It also comes for free. So they don't have to use it, but we embed it. And then we have reference architectures that we give them our ses, our solutions architects and our technical advisors all up to speed on why they should do it, how they should do it. We have a number of customers doing it. You know, we're heavily concentrated the global Fortune 2000, for example, we publicly announced that 26% of the Fortune 50 use our technology, even though we're a small company. So we go to extra lengths to a B, educated on our own front, our own teams, and then B, make sure they portray that to the end users and our channel partners. But the end users don't pay a dime for the software that does what I just described, it's free, it's included when you get you're Infin box or you're ingar, it's included at no charge. >>That's pretty differentiating from a competitive standpoint. I might, I would guess >>It is. And also the guarantee. So for example, on primary storage, okay, whether you'd put your Oracle or put your SAP or I Mongo or your sequel or your highly transactional workloads, right? Your business finance workload, all your business critical stuff. We are the first and only storage company that offers a primary guarantee on cyber storage resilience. And we offer two of them on primary storage. No other vendor offers a guarantee, which we do on primary storage. Whether you the first and right now as of here we are sitting in the middle of October. We are still the only vendor that offers anything on primary storage from a guaranteed SLA on primary storage for cyber storage resilience. >>Let's talk about those guarantees. Walk me through what you just announced. There's been a a very, a lot of productivity at Infin DAT in 2022. A lot of things that you've announced but on crack some of the things you're announcing. Sure. Talk to me specifically about those guarantees and what's in it for me as a customer. It sounds pretty obvious, but I'd love to hear it from you. >>Okay, so we've done really three different types of guarantees. The first one is we have a hundred percent availability guarantee on our primary storage. And we've actually had that for the last, since 2019. So it's a hundred percent availability. We're guaranteed no downtime, a hundred percent availability, which for our customer base being heavily concentrated, the global Fortune 2000 large government enterprises, big universities and even smaller companies, we do a lot of business with CSPs and MSPs. In fact, at the Flash Memory Summit are Infin Box ssa All Flash was named the best product for hyperscaler deployment. Hyperscaler basically means cloud servers provider. So they need a hundred percent availability. So we have a guarantee on that. Second guarantee we have is a performance guarantee. We'll do an analysis, we look at all their workloads and then we will guarantee in writing what the performance should be based on which, which of our products they want to buy are Infin Box or Infin Box ssa, which is all flash. >>Then we have the third one is all about cyber resilience. So we have two on our Infin box, our Infin box SSA for primary storage, which is a one the immutability of the snapshot and immediately means you can't erase the data. Right? Camp tamper with it. Second one is on the recovery time, which is under a minute. We just announced in the middle of October that we are doing a similar cyber storage resilience guarantee on our ARD secondary product, which is designed for backup recovery, et cetera. We will also offer the immutably snapshot guarantee and also one on the recoverability of that data in under 20 minutes. In fact, we just did a demo at our live launch earlier this week and we demoed 20 petabytes of Veeam backup data recovered in 12 minutes. 12 >>Minutes 2012. >>20 petabytes In >>12 bytes in 12 minutes. Yes. That's massive. That's massively differentiating. But that's essential for customers cuz you know, in terms of backups and protecting the data, it's all about recovery >>A and once they've had the attack, it's how fast you get back online, right? That that's what happens if they've, if they can't stop the attack, can't stop the threat and it happens. They need to get that back as fast as they can. So we have the speed of recovery on primary stores, the first in the industry and we have speed on the backup software and we'll do the same thing for a backup data set recovery as well. Talk >>To me about the, the what's in it for me, For the cloud service providers, they're obviously the ones that you work with are competing with the hyperscalers. How does the guarantees and the differentiators that Fin out is bringing to market? How do you help those cloud SPS dial up their competitiveness against the big cheeses? >>Well, what we do is we provide that underlying infrastructure. We, first of all, we only sell things that are petabyte in scale. That's like always sell. So for example, on our in fitter guard product, the raw capacity is over four petabytes. And the effective capacity, cuz you do data reduction is over 85 petabytes on our newest announced product, on our primary storage product, we now can do up to 17 petabytes of effective capacity in a single rack. So the value to the service rider is they can save on what slots? Power and floor. A greener data center. Yeah, right. Which by the way is not just about environmentals, but guess what? It also translate into operational expense. >>Exactly. CapEx office, >>With a lot of these very large systems that we offer, you can consolidate multiple products from our competitors. So for example, with one of the competitors, we had a deal that we did last quarter 18 competitive arrays into one of ours. So talk about saving, not just on all of the operational expense, including operational manpower, but actually dramatically on the CapEx. In fact, one of our Fortune 500 customers in the telco space over the last five years have told us on CapEx alone, we've saved them $104 million on CapEx by consolidating smaller technology into our larger systems. And one of the key things we do is everything is automated. So we call it autonomous automation use AI based technology. So once you install it, we've got several public references who said, I haven't touched this thing in three or four years. It automatically configures itself. It automatically adjusts to changes in performance and new apps. When I put in point a new app at it automatically. So in the old days the storage admin would optimize performance for a new application. We don't do that, we automatically do it and autonomously the admin doesn't even click a button. We just sense there's new applications and we automate ourselves and configure ourselves without the admin having to do anything. So that's about saving operational expense as well as operational manpower. >>Absolutely. I was, one of the things that was ringing in my ear was workforce productivity and obviously those storage admins being able to to focus on more strategic projects. Can't believe the CIOs aren't coming around yet. But you said there's, there's a change, there's a wave coming. But if we think about the the, the what's in it for me as a customer, the positive business outcomes that I'm hearing, lower tco, your greener it, which is key. So many customers that we talk to are so focused on sustainability and becoming greener, especially with an on-prem footprint, workforce productivity. Talk about some of the other key business outcomes that you're helping customers achieve and how it helps them to be more competitive. >>Sure. So we've got a, a couple different things. First of all, storage can't go down. When the storage goes down, everyone gets blamed. Mission. When an app goes down, no one really thinks about it. It's always the storage guy's fault. So you want to be a hundred percent available. And that's today's businesses, and I'd actually argue it's been this way for 20 years are 24 by seven by 365. So that's one thing that we deliver. Second thing is performance. So we have public references talk about their SAP workload that used to take two hours, now takes 20 minutes, okay? We have another customer that was doing SAP queries. They improved their performance three times, Not 3%, not 3%, three times. So 300% better performance just by using our storages. They didn't touch the sap, they didn't touch the servers. All they do is to put our storage in there. >>So performance relates basically to applications, workloads and use cases and productivity beyond it. So think the productivity of supply chain guys, logistics guys, the shipping guys, the finance guys, right? All these applications that run today's enterprises. So we can automate all that. And then clearly the cyber threat. Yeah, that is a huge issue. And every CIO is concerned about the cyber threat. And in fact, it was interesting, Fortune magazine did a survey of CEOs, and this was last May, the number one concern, 66% in that may survey was cyber security number one concern. So this is not just a CIO thing, this is a CEO thing and a board level >>Thing. I was gonna say it's at at the board level that the cyber security threats are so real, they're so common. No one wants to be the next headline, like the colonial pipeline, right? Or the school districts or whatnot. And everybody is at risk. So then what you're enabling with what you've just announced, the all the guarantees on the SLAs, the massively fast recovery times, which is critical in cyber recovery. Obviously resilience is is key there. Modern data protection it sounds like to me. How do you define that and and what are customers looking for with respect to modern cyber resilience versus data protection? >>Yeah, so we've got normal data protection because we work with all the backup vendors. Our in ARD is what's known as a purpose built backup appliance. So that allows you to back at a much faster rate. And we work all the big back backup vendors, IBM spectrum Protect, we work with veritas vem com vault, oracle arm, anybody who does backup. So that's more about the regular side, the traditional backup. But the other part of modern data protection is infusing that with the cyber resilience. Cuz cyber resilience is a new thing. Yes, from a storage guy perspective, it hasn't been around a long time. Many of our competitors have almost nothing. One or two of our competitors have a pretty robust, but they don't guarantee it the way we guarantee it. So they're pretty good at it. But the fact that we're willing to put our money where our mouth is, we think says we price stand above and then most of the other guys in the storage industry are just starting to get on the bandwagon of having cyber resilience. >>So that changes what you do from data protection, what would call modern data protection is a combination of traditional backup recovery, et cetera. Now with this influence and this infusion of cybersecurity cyber resilience into a storage environment. And then of course we've also happened to add it on primary storage as well. So whether it's primary storage or backup and archive storage, we make sure you have that right cyber resilience to make it, if you will, modern data protection and diff different from what it, you know, the old backup of your grandfather, father, son backup in tape or however you used to do it. We're well beyond that now we adding this cyber resilience aspect. Well, >>From a cyber resilience perspective, ransomware, malware, cyber attacks are, that's a disaster, right? But traditional disaster recovery tools aren't really built to be able to pull back that data as quickly as it sounds like in Trinidad is able to facilitate. >>Yeah. So one of the things we do is in our reference architectures and written documentation as well as when we do the training, we'd sell the customers you need to practice, if you practice when there's a fire, a flood, a hurricane, an earthquake or whatever is the natural disaster you're practicing that you need to practice malware and ran somewhere. And because our recovery is so rapid and the case of our ingar, our fenced environment to do the testing is actually embedded in it. Several of our competitors, if you want the fenced environment, you have to buy a second product with us. It's all embedded in the one item. So A, that makes it more effective from a CapEx and opex perspective, but it also makes it easier. So we recommend that they do the practice recoveries monthly. Now whether they do it or not separate issue, but at least that's what we're recommending and say, you should be doing this on a monthly basis just like you would practice a disaster, like a hurricane or fire or a flood or an earthquake. Need to be practicing. And I think people are starting to hear it, but they don't still think more about, you know, the flood. Yeah. Or about >>The H, the hurricane. >>Yeah. That's what they think about. They not yet thinking about cybersecurity as really a disaster model. And it is. >>Absolutely. It is. Is is the theme of cyber resilience, as you said, this is a new concept, A lot of folks are talking about it, applying it differently. Is that gonna help dial up those folks just really being much more prepared for that type of cyber disaster? >>Well, we've made it so it's automated. Once you set up the immutable snapshots, it just does its thing. You don't set it and forget it. We create the logical air back. Once you do it, same thing. Set it and forget it. The fence forensic environment, easy to deploy. You do have to just configure it once and then obviously the recovery is almost instantaneous. It's under a minute guaranteed on primary storage and under 20 minutes, like I told you when we did our launch this week, we did 20 petabytes of Veeam backup data in 12 minutes. So that's pretty incredible. That's a lot of data to have recovered in 12 minutes. So the more automated we make it, which is what our real forte is, is this autonomous automation and automating as much as possible and make it easy to configure when you do have to configure. That's what differentiates what we do from our perspective. But overall in the storage industry, it's the recognition finally by the CISOs and the CIOs that, wait a second, maybe storage might be an essential part of my corporate cybersecurity strategy. Yes. Which it has not been historically, >>But you're seeing that change. Yes. >>We're starting to see that change. >>Excellent. So talk to me a little bit before we wrap here about the go to market one. Can folks get their hands on the updates to in kindergar and Finn and Safe and Penta box? >>So all these are available right now. They're available now either through our teams or through our, our channel partners globally. We do about 80% of our business globally through the channel. So whether you talk to us or talk to our channel partners, we're there to help. And again, we put our money where your mouth is with those guarantees, make sure we stand behind our products. >>That's awesome. Eric, thank you so much for joining me on the program. Congratulations on the launch. The the year of productivity just continues for infinit out is basically what I'm hearing. But you're really going in the extra mile for customers to help them ensure that the inevitable cyber attacks, that they, that they're complete storage environment on prem will be protected and more importantly, recoverable Very quickly. We appreciate your insights and your input. >>Great. Absolutely love being on the cube. Thank you very much for having us. Of >>Course. It's great to have you back. We appreciate it. For Eric Herzog, I'm Lisa Martin. You're watching this cube conversation live from Palo Alto.

(energetic music) >> Hi, I'm Peter Burroughs and welcome to another CUBEConversation from our wonderful studios in Palo Alto, California. Today we're talking storage, not just any kind of storage, but fast, intelligent storage. We're got NGD Systems with us, and specifically welcome back to theCUBE, Nader Salessi, CEO founder, and Scott Shadley, VP of Marketing. >> Good to see you again, Peter. >> So, the last time we were here we had a great conversation about the role that storage is going to play in overall system performance. And Nader, when I think of NGD Systems, I think of really smart people doing great engineering to create really fast high-performance products. Where are we in the state of the art of fast storage, fast systems? >> So, what we are learning from the customers, the demand of the storage continues to grow exponentially. They want larger capacity per drive. All the challenge they have, physical space is limited always and the power consumption. It is not necessarily just power consumption of the device, they have also self resources for implementing their Hyperscale Data Centers from the physical space, from buying servers, network storage. The challenge that they face is power available from the utility companies are limited. They cannot overcome that. So, if they need to increase their capacity of the storage by double the size of the storage in a year timeframe, they cannot get access to the utilities and the power. So, they need to focus on energy efficiency. >> So, when I think of NGD Systems, what I should think about is smart, fast, and efficient from a power standpoint. >> That's correct. So, that's one of the areas that we are focusing a lot to provide energy efficient. We are improving the watt per terabyte by a factor of 10 compared to the best in class available the other side of the SSD drive that exists in the industry. >> Oh, let me make sure I got that. So, by improved wattage by a factor of 10 for the same capacity. >> Correct. In meaning we are improving watts per terabyte in a same physical space. And that's the challenge that the industry is facing. >> Got it. >> The next set of the challenge that all the hyperscalers are facing, and we are learning from them, moving of the data is a challenge. It just takes time and it's not efficient. So, the more they can do inside of the drive to do the manipulation of the data without moving the data, that's what they are looking for. And that's exactly where we are focusing and with our intelligent product that we're introducing. In the fourth quarter of this year, we are introducing mass producible solution that can take it to a mass production. >> So, give us an example of that, 'cause I know you were one of the first suppliers of technology that did things like brought mass produced down closer to the data. Is that the basic notion that we're talking here, and what are the use cases we're looking at? >> So, there are by far a lot more use cases and I'll let Scott go into some of the use cases that we have implemented as an example with some large partners which we are also announcing this coming week, or next week during the FMS. So, Scott, do you want to explore? >> Yeah, absolutely, so Peter, just to give to your point. There's a lot of different ways you can look at making storage intelligent. What we looked at we took a different direction. We're not trying to just do simple things like the minor database applications, we're going for what's new and innovative in the way of things like AI and machine learning. So, we talked last time a little bit about this image similarity search concept. As Nader mentioned, we're going to be live with a guest speaker at FMS implementing a version of that. >> Now, FMS is Flash Memory Summit. >> Yes, for those that don't know, Flash Memory Summit that happens every year. Other things that we've worked on again with partners relate to things like relational databases and being able to do things like implement Google TensorFlow live in the drive. We've also been able to port docker containers directly into the drives, so then there's now a customer's ability to take any application you're running, whatever format it's in and literally drop it in a container format into the drive and execute the commands in place on the data. And we're seeing improvements of 10 to 50x on execution time of those applications because they're not physically moving data around. >> So, to put this, kind of summarize this, if a customer, user, has a choice of moving 50 terabytes around of raw data as opposed to moving maybe a couple of hundred kilobytes or megabytes of application down to the drive, then obviously you want to move the smaller down. But it requires a fair amount of processing power and control be located very close to the data. So, how's that happening? >> So, by architecting the fundamentals of the storage from a sketch, we are able to provide the right solution. So, architecting within each control, or each SSD there is a controller for managing the flash and the interfacing with the host. As part of that, we have embedded additional resources. Part of it is a quad-core application processor, 64 bit application processor that is running at at least a gigahertz that the application can come down and run on that, or operating system is running on it. In addition to that we have embedded the hardware accelerator to accelerate certain functions that makes sense to be done. Plus the access to the data tower that is readily available at a much higher bandwidth than the host interface. So, that's how we are at this end. Then of course, by providing the complete software stack to make it easy for the customers to bring their application rather than starting from scratch, or having it very specialized and custom solutions. >> So, when I think about if I'm a CIO or if I'm a senior person in infrastructure, I'm thinking, what workloads naturally lend themselves to high degrees of parallelism? Then I'm thinking, how can I move more of that parallelism closer to the data. Have I got that right? >> Exactly. >> Absolutely. >> So, how's this turning into product? >> So, for that perspective we've been releasing, or we've had released now two platforms we've called the Catalina Family of Solutions. And they've been POCs, prototypes, and some limited production volume. As Nadir mentioned, our third platform we're calling the Newport Platform is going to be an ASIC base solution that's going to be able to drive that mass marketed option that he referenced. It's a whole bunch of unique things about it. A, we have the application coprocessors. It's the first SSD controller to ever be done on a 14 nanometer process node, so that's where the energy efficiency piece of this comes into play. And the fact that we can do the densities the customers are looking for. 'Cause right now, there's a challenge in the market to be able to do a large enough drive at the right performance characteristics and power consumption to solve the need. >> So, you're following some locations in Southern California, from Catalina to Newport. In the next couple of years you'll be in the San Bernardino Mountains. >> Sure. >> So, as we think about where the technology is, so give us an example of the performance improvements, which you're seeing from an overall benchmark standpoint. >> So, one of the other use cases that it may not be intuitive to think about this is for the content of a video, for video content everywhere. So, the new generation of contents, they are large, they are massive, they require massive amounts of storage. And the old fashioned way of doing it, they have multiple drives in a server. They all converge and they go through another server for the encryption and authentication. Well, we are moving that function inside of the storage. Now, all of a sudden, same server instead of having all converging and going through one narrow pipe, all the drives concurrently can serve multiple subscriber in parallel by more than factor of 10. And that's substantial from the performance point of view. So, it is not necessary the old fashioned way of measuring it, what's the IOPS, those are the old way of measuring it. The new ways, the end users how they can access the data without being a bottleneck. And that's again, another use case of it. The other use case as Scott mentioned for the doing image similarity search, in the old fashioned way when they were accessing a billion images, it's working fine with the current SSDs, off the shelf SSDs, and the current servers, and GPUs. The challenge they are facing as they increase this database to a trillion images, it just cannot do it that old way. So, it's more than just how many gigabytes they push through or how many IOPS. It's being able to look at it from the system level point of view, and how many subscribers or how many customers can access it concurrent. >> So, you're describing a number of relatively specialized types of applications, but nonetheless, applications of significant value to their businesses. But let's talk just for a second about how a customer would employ the technology. Customers don't mind specialized or more specialized devices as long as they fit in within the conventions for how they get used. So, what's the complexity of introducing your product? >> Very good point that you're raising. Fundamentally, we are a solid state drive storage as a block storage based on PCle NVMe without any drivers. They plug it in, it's plug and play. It works. On top of that, and for this scenario of the block storage, we are the highest capacity, lowest power consumption, or lowest watt per terabytes, and servicing the majority of the market that nowadays are focused more on the read and consistent read, rather than what's the again, IOPS or how fast is the write. So, we have our architecture and the algorithms is set up that we would provide a very narrow beam of the consistent latency no matter what workload they put on it, and provide the right solution for them. Then on top of that, if they have a specialized workload or the use cases, they still can enable it or disable it based on simple software switch. >> So, Scott, when you think about partners, the ecosystem, I know that we talked about this a bit last time, getting started, expanding it, where are we in terms of NGD Systems getting the market? >> Absolutely, so from that perspective we've gone beyond the proof of concept only phase. We've actually got production orders that have shipped to customers. We're starting to see that roll out in the back half of this quarter. As Nadir mentioned, we roll into Q4 with the new product, then upgrade those customers and start getting into even larger rollouts. But it's not just a couple of mom and pop shops type of thing. It's some big names. It's some high-level partners. And we're starting to now build out the ecosystem and how to deliver it through server ODMs or other partners that can play off of the system, whether it be storage array providers or even some of the big box players. >> So, we're now here with Newport. >> Yes. >> You've no doubt got plans. We don't have to go too deep into 'em, but as your company starts to scale, what's the cadence going to look like? Are you going to be able to continue to push the state of the art from performance smarts and energy efficiency standpoint? >> Absolutely, there are already things that are in the pipeline for the next generation of how to bring more intelligence inside of the drive. With more resources for a lot more workload to be able to adapt itself to many, many use cases, rather than only maybe today it might be a dozen use cases, to go infinite. It truly is a platform rather than just a unique for this application. And then we're going to expand on that toward the next generation of it. So obviously, as we ramp up the first generation of product in mass production, the R&D's working on the next generation of the intelligence that they've got to pour into it and continue that cadence. And of course, we scale the company accordingly. >> Great news from NGD Systems. Nadir. >> It is wonderful, this FMS coming up, we are announcing there are new generation of product, as well as announcing the close partner with one of the hyperscalers that we are introducing the next generation of product. >> Fantastic, Scott Shadley, VP of Marketing. Nadir Salessi, CEO founder. NGD Systems, thanks very much again for being on theCUBE. And to you, once again, thanks for watching this CUBEConversation. Until we meet again, thanks for watching. (energetic music)

>> Announcer: From the Silicon Angle Media Office in Boston, Massachusetts. It's the theCUBE. Now here's your host Stu Miniman. >> Hi, I'm Stu Miniman and welcome to a special theCUBE conversation here in our Boston area studio. Happy to welcome back to the program, Danny Cobb, who's with Dell EMC in the CTO office. >> Thanks Stu, great to see you here today. >> Great to see you too. So Danny, we're going to talk about a topic that like many things in the industry. It seems like it's something that happen overnight, but there's been a lot of hard work going on for quite a lot of years, even going back to heck when you and I worked together. >> Danny: That's right. >> A company use to be called EMC. NVMe, so first of all just bring everybody up to speed as to what you work on inside the Dell family. >> Danny: Sure, so my responsibility at now Dell EMC has been this whole notion of emergence systems. New technologies, new capabilities that are just coming into broad market adoption, broad readiness, technological feasibility, and those kinds of things. And then making sure that as a company we're prepared for their adoption and inclusion in our product portfolio. So it's a great set of capabilities a great set of work to be doing especially if you have a short attention span like I do. >> Danny, I spend a lot of time these days in the open source world. You talk about people are moving faster, people are trying lots of technologies. You've been doing some really hard work. The company and the industry in the standards world. What's the importance of standards these days, and bring us back to how this NVMe stuff started. >> So a great way to get everybody up to speed as you mentioned when you kicked off. NVMe, an overnight success, almost 11 years in the making now. The very first NVMe standard was about 2007. EMC joined the NVMe consortium in 2008 along with an Austin, Texas computer company called Dell. So Dell and EMC were both in the front row of defining the NVMe standard, and essentially putting in place a set of standards, a set of architectures, a set of protocols, product adoption capabilities, compatibility capabilities for the entire industry to follow, starting in 2008. Now you know from our work together that the storage industry likes to make sure that everything's mature, everything works reliably. Everything has broad interoperability standards and things like that. So since 2008, we've largely been about how do we continue to build momentum and generate support for a new storage technology that's based on broadly accepted industry standards, in order to allow the entire industry to move forward. Not just to achieve the most out of the flash revolution, but prepare the industry for coming enhancements to storage class memory. >> Yeah, so storage class memory you mentioned things like flash. One thing we've looked at for a long time is when flash rolled out. There's a lot of adoption on the consumer side first, and then that drove the enterprise piece, but flash today is still done through Ikusi interface with SaaS or Sata. And believe we're finally getting rid of when we go to NVMe. What some in the industry have called the horrible Ikusi stack. >> Danny: That's right. >> So explain to us a little bit about first, the consumer piece of where this fits first, and how it gets the enterprise. Where are we in the industry today with that? >> Yeah so as you pointed out a number of the new media technologies have actually gained a broad acceptance and a grounds full of support starting in the consumer space. The rapid adoption of mobile devices whether initially iPods and iPhones and things like that. Tablets where the more memory you have the more songs you carry, the more pictures you can take. A lot of very virtuous cycle type things occurred in the consumer space to allow flash to go from a fairly expensive perhaps niche technology to broad high volume manufacturing. And with high volume manufacturing comes much lower costs and so we always knew that flash was fast when we first started working on it at EMC in 2005. It became fast and robust when we shipped in 2008. It went from flash to robust to affordable with technologies like the move from SLC to MLC, and now TLC flash and the continuing advances of Moore's law. And so flash has been the beneficiary of high volume consumer economics along with our friend Moore's law over a number of years. >> Okay, so on the NVMe piece, your friends down in Round Rock in Dell. They've got not only the storage portfolio, but on the consumer side. There's pieces like my understanding NVMe already in the market for some part of this today, correct. >> That's right, I think one of the very first adoption scenarios for NVMe was in Lightweight laptop device. The storage deck could be more efficient. The fundamental number of gates in Silicon required to implement the stack was more efficient. Power was more efficient, so a whole bunch of things that were beneficial to a mobile high volume client device like an ultra light, ultra portable laptop made it a great place to launch the technology. >> Okay, and so bring us to what does that mean then for storage? Is that available in the enterprise storage today? >> Danny: Yeah. >> And where is that today and where is that today, and where are we going to see in the next years though? >> So here's the progression that the industry has more or less followed. If we went from that high volume, ultra light laptop device to very inexpensive M.2 devices that could be used in laptops and desktops more broadly, also gained a fair amount of traction with certain used cases and hyperscalers. And then as the spec matured and as the enterprise ecosystem around it, broader data integrity type solutions in the sili-case itself. A number of other things that are bread and butter for enterprise class devices. As those began to emerge, we've now seen NVMe move forward from laptop and client devices to high volume M.2 devices to full function, full capability dual ported enterprise NVMe devices really crossing over this year. >> Okay, so that means we're going to see not only in the customer pieces but should be seeing really enterprise roll out in I'm assuming things like storage arrays, maybe hyper converged. All the different flavors in the not too distant future. >> Absolutely right, the people who get paid to forecast these things when they look into their crystal balls. They've talked about when does NVMe get close enough to its predecessor SaaS to make the switch over be a no brainer. And often times, you get a performance factor where there's more value or you get a cost factor where suddenly that becomes the way the game is won. In the case of NVMe versus SaaS, both of those situations value and cost are more or less a wash right now across the industry. And so there are very few impediments to adoption. Much like a few years ago, there were very few impediment to adoption of enterprise SSDs versus high performance HDDs. The 15Ks and the 10K HDDs. Once we got to close enough in terms of cost parity. The entire industry went all flash over night. >> Yeah, it's a little bit different than say the original adoption of flash versus HDD. >> Danny: That's right. >> HDD versus SSD. Remember back, you had to have the algebra sheet. And you said okay, how many devices did I have.? What's the power savings that I could get out of that? Plus the performance that I had and then does this makes sense. It seems like this is a much more broadly applicable type of solution that we'll see. >> Danny: Right. >> For much faster adoption. >> Do you remember those days of a little goes a long way? >> Stu: Yeah. >> And then more is better? And then almost be really good, and so that's where we've come over what seems like a very few years. >> Okay, so we've only been talking about NVMe, the thing I know David Foyer's been look a lot from an architectural standpoint. Where we see benefit obviously from NVMe but NVMe over Fabrics is the thing that has him really excited if you talk about the architectures, maybe just explain a little bit about what I get with NVMe and what I'll get added on top with the over fabric piece of that. >> Danny: Sure. >> And what's that roll out look like? >> Can I tell you a little story about what I think of as the birth of NVMe over Fabrics? >> Stu: Please. >> Some of your viewers might remember a project at EMC called Thunder. And Thunder was PCI flash with an RDMA over ethernet front end on it. We took that system to Intel developers forum as a proof of concept. Around the corner from me was an engineer named Dave Min-turn, who's an Intel engineer. Who had almost exactly the same software stack up and running except it was an Intel RDMA capability nick and an Intel flash drive, and of course some changes to the Intel processor stack to support the used case that he had in mind. And we started talking and we realized that we were both counting the number of instructions from packet arriving across the network to bytes being read or written on the vis-tory fast PCI E device. And we realized that there has to be a better way, and so from that day, I think it was September 2013, maybe it was August. We actually started working together on how can we take the benefits of the NVMe standard that exists mapped onto PCI E. And then map those same parameters as cleanly as we possibly can onto, at that time ethernet but also InfiniBand, Fiber channel, and perhaps some other transports as a way to get the benefits of the NVMe software stack, and build on top of the new high performance capabilities of these RDMA capable interconnects. So it goes way back to 2013, we moved it into the NVMe standard as a proposal in 2014. And again three, four years later now, we're starting to see solutions roll out that begin to show the promise that we saw way back then. >> Yeah and the challenge with networking obviously is sounds like you've got a few different transport layers that I can use there. Probably a number of different providers. How baked is the standard? Where do things like hits the interoperability fit into the mix? When do customers get their hands on it, and what can they expect the roll out to be? >> We're clearly at the beginning of what's about to be a very, I think long and healthy future for NVMe over Fabrics. I don't know about you. I was at Flash Memory Summit back in August in Santa Clara and there were a number of vendors there starting to talk about NVMe over Fabrics basics. FPGA implementation, system on chip implementations, software implementations across a variety of stacks. The great thing was NVMe over Fabrics was a phrase of the entire show. The challenging thing was probably no two of those solutions interoperated with each other yet. We were still at the running water through the pipes phase, not really checking for leaks and getting to broad adoption. Broad adoption I think comes when we've got a number of vendors broad interoperability, multi-supplier, component availability and those things, that let a number of implementations exists and interoperate because our customers live in a diverse multi-vendor environment. So that's what it will take to go from interesting proof of concept technology which I think is what we're seeing in terms of early customers engagement today to broad base deployment in both existing fiber channel implementations, and also in some next generation data center implementations, probably beginning next year. >> Okay, so Danny, I talked to a lot of companies out there. Everyone that's involved in this (mumbles) has been talking about NVMe over Fabric for a couple of years now. From a user standpoint, how are they going to help sort this out? What will differentiate the check box. Yes, I have something that follows this to, oh wait this will actually help performance so much better. What works with my environment? Where are the pitfalls and where are the things that are going to help companies? What's going to differentiate the marketplace? >> As an engineer, we always get into the speeds and the feeds and the weeds on performance and things like that, and while those are all true. We can talk about fewer and fewer instructions in the networks stack. Fewer and fewer instructions in the storage stack. We can talk about more efficient Silicon implementations. More affinity for multi-processor, multi-core processing environments, more efficient operating system implementations and things like that. But that's just the performance side. The broader benefits come to beginning to move to more cost effective data center fabric implementation. Where I'm not managing an orange wire and a blue wire unless that's really what I want. There's still a number of people who want to manage their fiber channel and will run NVMe over that. They get the compatibility that they want. They get the policies that they want and the switch behavior that they want, and the provisioning model that they want and all of those things. They'll get that in an NVMe over Fabrics implementation. A new data center however will be able to go, you know what, I'm all in day one on 25, 5000 bit gigabit ethernet as my fundamental connection of choice. I'm going 400 gigabit ethernet ports as soon as Andy Beck-tels shine or somebody gives them to me and things like that. And so if that's the data center architecture model that I'm in, that's a fundamental implementation decision that I get to make knowing that I can run an enterprise grade, storage protocol over the top of that, and the industry is ready. My external storage is ready, my servers are ready and my workloads can get the benefit of that. >> Okay, so if I just step back for a second, NVMe sounds like a lot of it is what we would consider the backend in proving that NVMe over Fabrics helps with some of the front end. From a customer stand point, what about their application standpoint? Can they work with everything that they have today? Are there things that they're going to want to do to optimize for that? So the storage industry just take care of it for them. What do they think about today and future planning from an application standpoint? >> I think it's a matter of that readiness and what is it going to take. The good news and this has analogs to the industry change from HDD to SSDs in the first place. The good new is you can make that switch over today and your data management application, your database application, your warehouse, you're analytics or whatever. Not one line of software changes. NVMe device shows up in the block stack of your favorite operating system, and you get lower latency, more IOs in parallel. More CPU back for your application to run because you don't need it in the storage stack anymore. So you get the benefits of that just by changing over to this new protocol. For applications who then want to optimize for this new environment, you can start thinking about having more IOs in flight in parallel. You could start thinking about what happens when those IOs are satisfied more rapidly without as much overhead in and interrupt processing and a number of things like that. You could start thinking about what happens when your application goes from hundred micro-second latencies and IOs like the flash devices to 10 microsecond or one microsecond IOs. Would perhaps with some of these new storage class memory devices that are out there. Those are the benefits that people are going to see when they start thinking about an all NVMe stack. Not just being beneficial for existing flash implementations but being fundamentally required and mandatory to get the benefits of storage class memory implementations. So this whole notion of future ready was one of the things that was fundamental in how NVMe was initially designed over 10 years ago. And we're starting to see that long term view pay benefits in the marketplace. >> Any insight from the customer standpoint? Is it certain applications or verticals where this is really going to help? I think back to the move to SSDs. It was David Foyer who just wet around the entire news feed. He was like, database, database, database is where we can have the biggest impact. What's NVMe going to impact? >> I think what we always see with these things. First of all, NVMe is probably going to have a very rapid advancement and impact across the industry much more quickly than the transition from HDD to SSD, so we don't have to go through that phase of a little goes a long way. You can largely make the switch and as your ecosystem supports it as your vendor of choice supports it. You can make that switch and to a large extent have the application be agnostic from that. So that's a really good way to start. The other place is you and I have had this conversation before. If you take out a cocktail napkin and you draw an equation that says time equals money. That's an obvious place where NVMe and NVMe over Fabrics benefit someone initially. High speed analytics, real time, high frequency trading, a number of things where more efficiency. My ability to do more work per unit time than yours gives me a competitive advantage. Makes my algorithms better, exposes my IP in a more advantageous way. Those are wonderful places for these types of emerging technologies to get adopted because the value proposition is just slam dunk simple. >> Yeah, so running through my head are all the latest buzz words. Is everything at Wikibon when we did our predictions for this year, data is at the center of all of it. But machine learning, AI, heck blockchain, Edge computing all of these things can definitely be affected by that. Is NVMe going to help all of them? >> Oh machine learning. Incredible high bandwidth application. Wonderful thing stream data in, compute on it, get your answers and things like that. Wonderful benefits for a new squeaky clean storage stack to run into. Edge where often times, real time is required. The ability to react to a stimulus and provide a response because of human safety issue or a risk management issue or what have you. Any place that performance let's you get close, get you outer close to real time is a win. And the efficiency of NVMe has a significant advantage in those environments. So NVMe is largely able to help the industry be ready just at the time that new processing models are coming in such as machine learning, artificial intelligence. New data center deployment architectures like the Edge come in and the new types of telemetry and algorithms that they maybe running there. It's really a technology that's arriving just at the time that the industry needs it. >> Yeah, was reading up on some of the blogs on the Dell sites. Jeff Brew-dough said, "We should expect "to see things from 2018." Not expecting you to pre-announce anything but what should we be looking for from Dell and the Dell family in 2018 when it comes to this space? >> We're very bullish on NVMe. We've been pushing very, very hard in the standards community. Obviously, we have already shipped NVMe for a series of internal use cases in our storage platforms. So we have confidence in the technology, its readiness, the ability of our software stacks to do what they need to do. We have a robust, multi-supplier supply chain ready to go so that we can service our customers, and provide them the choice in capacities and capabilities and things like that that are required to bet your business, and long term supply assurance for and things like that. So we're seeing the next year or so be the full transition to NVMe and we're ready for it. We've been getting ready for a long time. Now, the ecosystem is there and we're predicting very big things in the future. >> Okay, so Danny, you've been working on this for 11 years. Give us just a little bit of insight. What you learned, what this group has learned from previous transitions? What's excited you the most? Give us a little bit of sausage making? >> What's been funny about this is we talk about the initial transition to flash, and just getting to the point where a little goes a long way. That was a three year journey. We started in 2005, we shipped in 2008. We moved from there. We flash in a raise as a tier, as a cache, as the places where a little latency, high performance media adds value and those things. Then we saw the industry begin to develop into some server centric storage solutions. You guys have been at the front of forecasting what that market looks like with software defined storage. We see that in technologies like ScaleIO and VSAN where their abilities to start using the media when it's resident in a server became important. And suddenly that began to grow as a peer to the external storage market. Another market San alternative came along with them. Now we're moving even further out where it seems like we use to ask why flash? And it will get asked that. Now it's why not flash? Why don't we move there? So what we've seen is a combination of things. As we get more and more efficient low latency storage protocols. The bottle neck stops being about the network and start being about something else. As we get more multi-core compute capabilities and Moore's law continues to tickle along. We suddenly have enough compute and enough bandwidth and the next thing to target is the media. As we get faster and faster more capable media such as the move to flash and now the move to storage class memory. Again the bottle neck moves away from the media, maybe back to something else in the stack. As I advance compute in media and interconnect, suddenly it becomes beneficial for me to rewrite my application or re-platform it, and create an entire new set of applications that exploit the current capabilities or the technologies. And so we are in that rinse, lather repeat cycle right now in the technology. And for guys like you and me who've been doing this for awhile, we've seen this movie before. We know how it hands. It actually doesn't end. There are just new technologies and new bottlenecks and new manifestations of Moore's law and Holmes law and Metcalfe's law that come into play here. >> Alright so Danny, any final predictions from you on what we should be seeing? What's the next thing you work on that you call victory soon right? >> Yes, so I'm starting to lift my eyes a little bit and we think we see some really good capabilities coming at us from the device physicists in the white coats with the pocket protectors back in the fabs. We're seeing a couple of storage class memories begin to come to market now. You're led by Intel and microns, 3D XPoint but a number of other candidates on the horizon that will take us from this 100 microsecond world to a 10 microsecond world maybe to a 100 nanosecond world. And you and I we back here talking about that fairly soon I predict. >> Excellent, well Danny Cobb always a pleasure to catch up with you. Thanks so much for walking us through all of the pieces. We'll have lots more coverage of this technology and lots more more. Check out theCUBE.net. You can see Dell Technology World and lots of the other shows will be back. Thank you so much for watching theCUBE. (uptempo techno music)

why from the mandalay bay convention center in las vegas it's the cues covering vmworld 2016 rock you buy vmware and its ecosystem sponsors now you're your host John furrier and John wall's well welcome back to Mandalay Bay here at vmworld along with John furrier I'm John wall's glad to be with you here on the cubes to continue our coverage what's happening at vmworld exclusive broadcast a partner here for the show and along with John we're joined by eric Herzog's the vice president product marketing and management at IBM storage and Erica I just found out you're one of the all-time 10 most popular cute guests or most prominent cube guests most prolific congratulations well thank you we always love coming to the cube it's always energizing you love controversy and I love controversy and you get down to the heart of it you're the hard copy of high tech they're like oh I loved and we could probably mark each of your appearances by the Hawaiian shirt I think what do you think either Hawaiian shirt or one of my luggage share we could trace those back ever stop vibe about the show I mean just your thoughts about they've been here for three four days now just your general feel about about the the messaging here and then what's actually being conveyed in the enthusiasm out on the show floor well it's pretty clear that the world has gone cloud the world is doing cognitive and big data analytics vmware is leading that charge their strong partner of IBM we do a lot of things with them both with our cloud division on our storage division and vmware is a very strong partner of IBM we have all kinds of integration in our storage technology products with vai with vasa with vcenter ops all the various product lines at vmware offers and the key thing is ever wants to go to the cloud so by working with IBM and vmware together makes it easier and easier for customers whether it be the small shop Herzog's barn grill or whether it be the giant fortune 500 global entity working with us together allow them to get to the cloud sooner faster and have a better cloud experience so you got you know everybody cloud and virtualization and you know big themes big big topics so why does storage still matter well the big thing is if you're going to go to a cloud infrastructure and you're going to run everything on the cloud you think of storage as at solid foundation it has to be rock solid it has to be highly resilient it has to be able to handle error codes and error messaging and things failing and things falling off the earth at the same time it needs to be incredibly fast where things like all-flash arrays come in and even flexible so things like software-defined storage so think of storage as the critical foundation underneath any cloud or virtualized environment if you don't have a strong storage foundation with great resiliency great availability great serviceability and great performance your cloud or your virtual infrastructure is going to be mediocre and that's a very generous term so that's a key point so controversial II speaking to get to the controversy the whole complexity around converged infrastructure hyper converge or whatever the customers are deploying for compute they're putting the storage close to that whether it's a SAS and the cloud which is basically a data center that no one knows the address of as we were saying they always going to have stores has to sit somewhere what is the key trends right now for you because software is leading the way iBM has been doing a lot of work I know and soft we've been covering you guys will be at IBM edge coming up shortly in a couple weeks where's the innovation on the storage side for you guys well how do you talk to the customer base to say ok I got some sass options now for back and recovery weird one of your partners earlier i'm talking about that where is the physical storage innovation is that the software what's your thoughts on so we have a couple paths of integration for us first software-defined storage several the other analyst firms have named it's the number one software-defined storage coming in the world for several years in a row now software-defined storage gives a flexible infrastructure you don't have to buy any of the underlying media or underlying array controller from us just by our software and then you could put on anybody else's hardware you want you can work with your cloud provider with your reseller with your distributor enterprises create their own cloud whether it's a software-defined storage gives you a wide swath of storage functionality backup archive primary store grid scale out software only so ultimate flexibility so that one area of innovation secondary ish is all flash all flash is not expensive essentially I love old Schwarzenegger movies in the 1980s was all about tape he was a spy go and show what is supposedly the CIA was Schwarzenegger I'll take mid 90s Schwarzenegger another spy movie show a datacenter all hard drive arrays now in the next Schwarzenegger movie hopefully it'll be all flash arrays from IBM in the background so flash is just an evolution and we do tons of humor white shirts I keep swapping monitors it so he's intimated I get one from Maui went from kawaii one from the Big Island so flash is where it's at from a system level perspective so you've got that innovation and then you've got converged infrastructure as you mentioned already will you get the server the storage the networking and VMware hypervisor all packaged up dramatically so we have a product called the vs tak we do jointly with Cisco and vmware we were late to market on that we freely admit that but just give you an idea in the first half of this year we have done almost 2x what we did in the entire year of 2015 so that's another growth ending particularly cloud service providers love to get these pre-canned pre racked versus tax and deploy them in a number of our public references are cloud service providers both big and small essentially wheel in a versus stack when they need it whelan not own will another pre-configured ready to go and they get up and up and quit going so those are three trends we just had a client on Scott equipment not a Monroe Louisiana went to the Versa stack and singing your praises like a great example of medium size small sized businesses so we keep think about enterprises and all this and that it doesn't have to be the case their services that you're providing the companies of all sizes that are gaining new efficiencies in protocol al people everybody needs storage and you think about it is really how do you want to consume the storage and in a smaller shop you may choose one way so versus stack is converged infrastructure our software-defined storage like spectrum accelerate spectrum virtualize a software-only model several of the products like spectrum accelerate inspect can protect are available through softlayer or other cloud is he consumed it as a cloud entity so whether you want to consume an on-premises software only full array full integrated stack or cloud configuration we offer any way in which you want to eat that cake big cake small cake fruit cake chocolate cake vanilla cake we got kicked for ever you need and we can cover every base with that a good point about the diversity of choices from tape to flash and they get the multi multi integrated Universal stack so a lot of different choices I want to ask you about you know with that kind of array of options how you view the competitive strategy for IBM with storage so you know I know you're a wrestler so is there a is there a judo move on the competition how would you talk about your differentiation how do you choke hold the competition well couple ways first a lot from a technical perspective by leading with software-defined storage and we are unmatched in that capacity according the industry analysts on what we do and we have it in all areas in block storage we got scale-out file storage and scale out big data analytics we got back up we got archive almost no one has that panoply of offering in a software-defined space and you don't need to buy the hardware from us you can buy from our competitors two things I hear software and then after the array of eyelash what's specifically on the software are you guys leading and have unmatched as-safir already well spectrum protect is you know been a leader in the enterprise for years spectrum scale is approaching 5,000 customers now and we have customers close to an exabyte in production single customer with an exabyte pretty incredible so for big data analytic workloads with on gastronomic research so for us it's all about the application workload in use case part of the reason we have a broad offering is anyone who comes in here and sits in front of you guys and says my array or my software will do everything for you is smoking something that's not legal just not true maybe in Colorado or yeah okay me but the reality is workloads applications and use cases very dramatically and let's take an easy example we have multiple all-flash arrays why do we have multiple all flash arrays a we have a version for mainframe attached everyone in there wants six or seven 9s guess what we can provide that it's expensive as they're all is that our six or seven 9s but now they can get all flash performance on the mainframe in the upper end of the Linux world that's what you would consume at the other end we have our flash our store wise 50 30 f which can be as low street price as low street price as eighteen thousand dollars for an all-flash array to get started basically the same prices our Drive rang and it has all the enterprise data services snapshot replication data encryption at rest migration capability tiering capability it's basically what a hard drive array used to cost so why not go all flash threat talk about the evolution of IBM storage actually them in a leader in storage in the beginning but there was a period of time there and Dave when I won't talk handling the cube about this where storage my BMC it took a lot of share but there's been a huge investment in storage over the past i'd say maybe five years in particular maybe past three specifically i think over a billion dollars has been spent I think we thought the Jamie talent variety of folks on from IBM what is the update take a minute to explain how IBM has regained their mojo in storage where that come from just add some color to that because I think that's something that let people go hmm I great for things from my being but they didn't always have it in the storage so as you know IBM invented the hard drive essentially created the storage industry so saying that we lost our mojos a fair statement but boy do we have it back explain so first thing is when you have this cloud and analytic cognitive era you need a solid foundation of storage and IBM is publicly talked about the future of the world is around cloud on cognitive infrastructure cognitive applications so if your storage is not the best from an availability perspective and from a performance perspective then the reality is your cloud and cognitive that you're trying to do is basically going to suck yeah so in order to have the cloud and convey this underlying infrastructure that's rock-solid so quite honestly as you mentioned Dave we've actually invested over three and a half billion dollars in the last three years not to mention we bought a company called Texas memory systems which is the grandfather our flash systems knocks before that so we've invested well over three billion dollars we've also made a number of executive hirings ed walls just joined us CEO of several startups former general manager from emc i myself was a senior vice president at emc we just hired a new VP of Sales they're serious you guys are serious you guys are all in investing bringing on the right team focusing on applications work gloves in use case as much as I love storage most CEOs hate it yeah there's almost no cio that whatever a storage guy they're all app guys got to talk their lingo application workload in use case how the storage enables their availability of those apps workloads and use cases and how it gives them the right performance to meet their essays to the business guy what's interesting I want to highlight that because I think it's a good point people might not know is that having just good storage in and of itself was an old siloed model but now you mentioned could we cover all the IBM events world of Watson we should call insights edge and and interconnect the cloud show cognitive is front and center there's absolutely the moon shot and the mandate from IBM to be number one in cognitive computing which means big data analytics integrated to the application level obviously bluemix in the cloud Philip blank was here on stage about IBM cloud the relation with VMware so that fails if it doesn't have good steward doesn't perform well and and latency matters right I mean data matters well I add a couple things there so first of all absolutely correct but the other thing is we actually have cognitive storage ok if you automate processes automatically for example to your data some of our competitors have tiering most of them tier only within their own box we actually can tear not only within our own box for from our box to emc our box to netapp our box to HP HP to del Delta hitachi we can t r from anything to anything so that's a huge advantage right there but we tier we don't just set policy which is when data's 90 days old automatically move it that's automation cog nation is where we not only watch the applications and watch the data set we move it from hot to cold so let's take for example financial data your publicly traded company cuban SiliconANGLE going to be public soon i'm sure guys are getting so big your finance guys going to say Dave John team this financial data is white-hot got to be on all flash after you guys do your announcement of your incredible earnings and thank God I hopefully get friend of the company stock and my stock goes way up as your stock goes way up what are we spoking now come on let me tell you when that happens the date is going to go stone-cold we see that you don't have to set a policy two-tier the data with IBM we automatically learn when the data is hot and when it's cold and move it back and forth for you you know there's no policy setting cognition or cognitive its storage understand or stands out as the work for some big data mojo coming into the storage right and that's a huge change so again not only is it critical for any cognitive application to have incredibly performance storage with incredible resiliency availability reliability ok when there is cognitive health care true cognitive health care and Dave's on the table and they bring out their cognitive Juan because they found something in your chest that they didn't see before if the storage fails not going to be good for Dave yeah at the same time if the storage is too slow that might not be good for Dave either when they run that cognitive wand a that hospital knows that it's never going to fail that doctor says Oh Dave okay we better take that thing out boom he takes it out Dave's healthy again well that's a real example by the way not necessary Dave on the table but there was a story we wrote insult an angle one of our most popular post last month IBM Watson actually found a diagnosis uncured a patient the doctor had missed I don't know if you saw that story when super viral but that's the kind of business use case that you're in kind of illuminating with the storage yeah well in fact that one of the recent trade shows what's called the flash memory summit we won an award for best enterprise application commercial developer spark cognition they developed cyber security applications they recommend IBM flash systems and actually Watson's embedded in their application and it detects security threats for enterprises so there's an example of combining cognition with Watson the cognition capability of flash systems and then their software which is commercially available it's not an in-house thing or they're you know a regular software all right now we're a now we're in like the big time you know intoxication mode with all this awesome futuristic real technology how does a customer get this now because now back to IT yeah the silos are still out there they're breaking down the silos how do you take this to customers what's to use case how do you guys deploy this what's the what are you seeing for success stories well the key thing is to make it easy to use and deploy which we do so if you want the cloud model we're available in software IBM Global resiliency services uses us for their resiliency service over 300 cloud providers you spectrum protect for backup pick the cloud guy just pick one you want we work with all of them if you want to deploy in-house we have a whole set of channel partners globally we have the IBM sales team IBM global services uses IBM's own storage of course to provide to the larger enterprises so with your big shop medium swaps well flop we have a whole set of people out there with our partner base with our own sales guys that can help that and you get up and then we back it up as you know IBM is renowned for supporting service in all of our divisions in all of our product portfolio not just in storage so they need support and service our storage service guys are there right away you'd it installed we can install it our partners can install this stuff so we try to make it as brain dead as possible as easy as possible Jen being cognitive and are some of our user interfaces are as easy as a Macintosh I mean drag-and-drop move your lungs around run analytics on when you're going to run out of storage so you know ahead of time all these things that cut things people want today remember IT budget cut dramatically in the downturn of 08 09 and while budgets have returned they're not hiring storage guys there are hiring developers and they're hiring cloud guys so those guys don't know how to use storage well you got to make it easy always fast and always resilient that way it doesn't fail anyway but when it does you just go into the GUI it tells you what's wrong bingo and IBM service our partner service comes right out and fix it so that's what you need today because there aren't as many storage guys as you used to be no question you've got the waterfront covered no doubt about that and again congratulations on cracking the top 10 way back we consider that an honor and a privilege to be a part of that great welcome picture we really appreciate it thank you we'll continue the coverage here on the Cuba vmworld right after this