>> Live from San Francisco, it's theCUBE covering Google Cloud Next 2018. Brought to you by Google Cloud and it's ecosystem partners. >> Welcome back everyone. This is theCUBE live coverage of Google Cloud Next '18 in San Francisco. I'm John Furrier with Jeff Frick. We're at day three of three days of wall-to-wall coverage. Go to SiliconANGLE dot com on theCUBE dot net. Check out the on demand videos and the Cloud series special journalism report that we have out there, tons of articles, tons of coverage of Google Next with the news, analysis and opinion, of course, SiliconANGLE. Our next guest is Indranil Chakraborty, Project Manager for IoT Google Cloud. Certainly IoT part of the network part of the Cloud, one of the hottest areas in Cloud is IoT. We've been seeing that. Welcome to theCUBE. >> Thank you. >> Thanks for joining us. IoT is certainly the intersection of a lot of things: Cloud, data center, A.I., soon to be, you know, cryptocurrency and blockchain coming down, not for you guys, but in general those are the big hottest areas. >> IOT is not like, you can't say it's an IoT category, so IoT has to kind of sit in the intersection of a lot of different markets that are kind of pure playing. >> So I first want you to explain to the folks out there watching, what is the Google IoT philosophy? What is the products trying to do? And what are guys announcing here? >> Absolutely. Thanks for having me here, it's really great to be here. And if you think about IoT, and if you think about what we have on Google Cloud, we already have a great set of service for data storage, processing, and machine intelligence. Right, so we have Cloud Machine Learning Engine, we have an on start ML. So most of those data processing and intelligence services are already there. What we announced last year was Cloud IoT Core, which is our fully-managed service for our customers and partners who easily and securely connect their IoT devices to Google Cloud, so they can start transmitting data and then ingest and store in the user downstream services for analysis and machine intelligence. >> I mean, IoT is a great use case of Cloud because one, Cloud shows that you can be incented to collect data. >> Right. >> Cuz now you have the lower cost storage, You've got machine learning, all these things are going on. It's great. >> Exactly. >> But Iot is now the Edge of the network. You've got sensors. You've got cars, like Teslas, people can relate to. So everything's coming online has, not just an IP connection, anything that's a sensor. The IoT's been just evolving. What is the Edge to you guys? What does that mean when I say IoT Edge? What is Google view of the Edge? >> Yeah absolutely, it's a great question. You know, we identified early on the emergent trend of moving compute and intelligence to the edge and close to the device itself. So this week, as you already know, we've announced two products for Edge. One is Cloud IoT Edge, which is a software stack which can run on your gateway device, cameras, or any connected device that has some compute capabilities, which extends that powerful AI and machine learning capabilities of Google Cloud to your Edge device. And we also announced Edge TPU, which is a Google designed high performing chip for to run machine learning inference on the Edge device itself. And so with the combination of Cloud IoT Edge as a software stack and with our Edge TPU, we think we have an integrated machine learning solution for on Google Cloud platform. >> How does that get rolled out? So the chip, I'm assuming, you're doing OEM or deals with manufacturers. Same with the software stack. Is the software stack portable? Explain how you roll those out. >> Yeah, you know we are big into working with our ecosystem and we really want to build a robust part of ecosystem. So we are working with semiconductor companies, such as NXP and Arm, who will build a system-on-module using our Google Edge TPU, which can then be used by gateway device makers. So we have partnership with Harting, Nokia, NEXCOM. We're going to take those SOM, add it to their gateway devices, so to take it to the market. We're also working with a lot of computing companies, such as ADLINK, Acton, and a couple of others, Olya. So they can build an analytic solution using our Cloud IoT Edge software and Edge TPU to combine with the rest of Cloud IoT platform. So we're pretty excited about the partners. >> But every coin has two sides, right? So the kind of knock on the Edge is, now you're attack surface on the security side is growing exponentially. So clearly, security is an important part of what you guys do. And now this is kind of a different challenge when you're now, your point to presence is not like our point to presence, but are going to expand exponentially to all these connected autonomous devices. >> Yep, that's a great point. And you know, we take security very seriously. In fact, last year when we announced Cloud IoT Core, we reject any connection that doesn't use TLS, number one, right? And number two, we individually authenticate each and every device using an asymmetry keypad. In addition to that, we've also announced partnership with Microchip. So Microchip has built this microcontroller crypto, which can have the private key inside the crypto, and we use JWT token that was signed by inside the chip itself. So your private key never leaves the chip at all. So that's one additional reinforcement for security. So we have end to end security. We make sure that the devices are connecting over TLS, but we also have hardware root of trust on the Edge device as well. >> The token model is interesting. Talk about blockchain because you know, David Floy on our analyst team, he and I are constantly riffing on that. IoT actually is interesting use case for blockchain and potentially token economics. How do you guys view that? I know that you just mentioned that this is kind of a thing there. Does it fit in your vision at all? What's your position on how that would work out? >> You know, we are closely looking at the blockchain technology. As of today, we don't have anything specific to announce in terms of a product perspective, but we do have, we do use JSON web token, which is standard on the web, use to sign those using our private keys. So that works beautifully, but we're closely monitoring and looking at it. We don't have anything to announce today. >> Not yet, but they're going to share that. Their research is working on it, interesting scenario. So in general, benefits to customers who're working with IoT, your team, cuz you have the core, you have the chip, you have the software stack. There's always an architectural discussion depending upon the environment. Do you move the compute to the data? Do you move the data to the Cloud? What's the role of data in all this cuz certainly you got the processing power. What's the architectural framework and benefits to the customers who are working with Google. >> Yeah, so let's make a specific example, LG CNS. They want to improve their productivity in the factory, and what they've done is they've built a machine learning model to detect defects on their assembly line using Cloud machine learning engine. And they've used this one engineer a couple of weeks and they would train the model on Cloud. Now with Cloud IoT Edge and the Edge TPU, they can run that train model locally on the camera itself, so they can do realtime defect analysis at a pretty fast moving assembly line. So that's the model which we are working on where you use Cloud for high compute for training, but you use the Edge TPU and the Cloud IoT Edge for local inference for real time detection as well. >> How do you guys look at the IoT market because depending on how you're looking at it, you can look at smart cities, you can look at self-driving cars? There's a huge aperture of different use cases. It could be humans with devices, also you guys have Android, so it's kind of a broad scope. You guys got to kind of have that core tech, which it sounds like you're putting in the center of all this. How do you guys look at that? How do you guys organize around that? I think Ann Green mentioned verticals, for instance, is there different verticals? I mean, how do you guys go at that mark with the product? >> IoT is a nation market. And what we offer as Google Cloud, is a horizontal platform, what we call it is Cloud IoT platform, which has got Cloud IoT core on the Cloud side, Cloud IoT Edge, the Edge TPU. And we really want to work with our partners our solution integrators and ISVs, to help build those vertical applications. And so we're working with partners on the healthcare side, manufacturing. We have Odin Technology as one of the partner to really build this vertical up. >> You guys are not going to be dogmatic, this is how our IoT sleeve. You're going to let a thousand flowers bloom kind of philosophy. Put it out there, connect, and let the innovation happen with the ecosystem. >> Yeah, we really believe in driving, moving the, having robust ecosystem. So we want to provide a horizontal platform, which really makes it easy for partners and customers to build vertical solutions. >> Another kind of unique IoT challenge, which you didn't have in the past, we've all seen great pictures of the inside of Google Data Centers. They're beautiful and tight and lots of pretty pictures, very different than out in a minefield or a lot of these challenging IT environments where power could be a challenge. The weather could be a challenge. Connectivity to the internet could be a challenge. Obviously, and then you need to power them. When you talk about how much store do you have locally, how much compute do you have locally. So as you look at that landscape, how has that shaped your guys' views? What are some of the unique challenges that you guys have faced? And how are you overcoming some of those? >> Yeah, that's a great question and this is one of the primary reasons why we announced Cloud IoT Edge, which is software stack, and Edge TPU. So that for use cases where you have limited connectivity, oil wells or farm field, windmills. Connectivity is limited, and you cannot rely on connectivity for reliable operations. But you can use Cloud IoT Edge with our partner device ecosystem to run some of the compute locally. You can store data locally. You can analyze locally, and then push some of the incremental data to the Cloud to further update your model in the Cloud. So that's how we were thinking about this. We have to have some compute locally for those reasons. >> Release the hard coupling, if you will. So it's really got to be a dynamic coupling based on the situation, based on the timing, maybe. >> Exactly. >> Schedule updates, and these type of things. So it's not just connected. >> Exactly. It doesn't need to be continuously connected, right? As long as there's enough connectivity to download some of the updated model, to download the latest firmware and the software. You can run local compute and local machine learning inference on the Edge itself. That's the model we're looking at. So you can train in Cloud, push down the updates to the Edge device, and you can run local compute and intelligence on the device itself. >> A lot of conscious we've been having lately has been about, how do you manage the Edge, has been an area of discussion. Why I want to have a multi-threaded computer, basically, on a device that could be attacked with malware, putting bounds around certain things. You need the IP there. You want to have as much compute, obviously, we'd agree. But there's going to be policies you're starting to think about. This is where I think it gets interesting when you look at what's going on at the abstractions up the stack that you guys are doing. How does that kind of thinking impact some rollouts of IoT because I'm looking to imagine that you won't have policies. Some might trickle data back. It might not be data intensive. Some might want more security. Containers, all this kind of tying in. Is that right? Am I getting that right? How do you see that happening? >> So when you think about Edge, there are different layers. There are different tiers. There are the gateway class devices, which has high compute, and all the way to sensors. Our focus really is on the Edge devices, which has some decent compute capabilities and you can scale up to high-end devices as well. And when you think about policies, on the Cloud side, we have IM policies, so you can define roles, and you can define policies, based on which you can decide which devices should get what software or which user should get access to particular data types as well. So we have the infrastructure already, and we're leveraging that for the IoT platform. >> Yeah, and automate a lot of those kind of activities as well. >> Exactly. >> Alright, so I got to ask you about the show. What's some of the cool things you're seeing, for the folks that couldn't make it that are watching this video live and on demand. What's happening here at Google? What's the phenomenon Google Cloud? What are some of the hot stories? What's the vibe? What are the cool things that you are seeing? >> Absolutely. So I'm biased, so I'm going to start with IoT. You know, we have an IoT showcase where we have a pedestal where we're showing the Edge TPU and the Edge TPU board as well. And there is a lot of work which is happening there. There's a maintenance team there as well, so I would highly encourage attendees to go check it out. >> What are people saying about that? The demos and the sessions, what are some of the feedback? Share some color commentary around reactions. >> Yeah, we've been getting a lot of positive reactions. In fact, we just had a couple of breakout sessions, and a lot of interest from partners across the board to engage with us. So we are pretty excited with our announcement on the Edge side. The whole orchestration of training model in the Cloud and then pushing it down and then sending updates, that's where it really makes it easy for a lot of the partners. So they're excited about it as well. >> They're going to make some good money with it too. You guys are making the mark, and not trying to go too far. Laying the foundational work, the horizontal scale. >> Yes, exactly. And we really focused, for the Edge TPU, we really focused on performance per dollar and performance per watt. And so that has been what we are striving to really have high performance for lower cost. So that's what we're targeting. And a couple of other things, the whole server-less capabilities, and the fact that Cloud functions have become GA, is pretty exciting. And Cloud IoT Core is also a fully managed server-less architecture in a machine. The AI and auto ML which we announced with NLP and text and speech is pretty exciting as well. And that works very well with some of our IoT use cases as well. So I think those are a couple of announcements, which I'm pretty excited about. >> Yeah, I think the automation theme too, really resonated well on all that. Cuz what comes out of that is, humans still got to be more proficient in doing the new stuff, but also they got to run this. And you've got developers enough to build apps that drives value, so you got the value development with the applications, and then also the operational side, which is, I don't want to say becoming generic, but it's not specialized as used to be. Network operator, this guys does this, this gal does that. I mean, it used to be very stove piped. Now it's much more of a how do you run the environment? >> Exactly, and to your point, even on the IoT space, it's also very relevant. I mean there are a lot of overlaps between what used to be just devops and OTE and IT. There are a lot of overlaps there. And so we're looking at it closely as well to make sure that we can really simplify the overall requirement and the tooling which is needed for building an IoT solution. >> For the people that are not following Google as closely as say we are, for instance, they're not inside the ropes, inside the baseball, if you will, in the industry. See Google Cloud, they know Google as Gmail, search, et cetera. They look a couple years ago, Google Cloud had app engine, the OG of Google Cloud, as it's called. What would you say to the folks now that are watching? What's different about Google Cloud now, and what should they know about Google Cloud that they may not know about. What would you say to that person? >> Absolutely, and the first thing is we are very serious about enterprise. You can see here the number of attendees who have come here and how we have multiple buildings where we organized the conference. We're very serious over enterprise. Second, back in the days, two years back, we were really focused on building products, which works for specific use cases. We didn't think about end to end solution, but now the focus has changed. And we're really thinking about, we always had the technology with packaging the products, and now we're thinking about providing end to end solutions, the framework where for a business user, enterprise user, they can just take the solution, and they know it will work. Alright, so there's been a lot of focus on that. And our key differentiator is about machine intelligence and AI, right? That's where Google thrives. We've been spending a lot of time on it, and now we're focused on democratizing AI. Not just on the Cloud, but also on the Edge with the announcement of HTPU. >> And I really think you guys have done a good job with the mindset of making it consumable. In an end to end framework with the option. We've got Kubernetes, and Container's been around for a while, but it's working with multiple environments. I think that is a real mindset shift. >> Exactly. >> So congratulations. >> Thank you. >> Thanks for coming on, appreciate it. >> Absolutely, was great having you guys. >> Google IoT, just plug into the Google Cloud. It'll suck all your data in. Give you some compute at the Edge. Open it up to partners, really focusing on the ecosystem and enabling new types of functionality. It's theCUBE, bringing you the data here on day three at Google Cloud Next '18. We'll be right back with more coverage. Stay with us after this short break. (modern music)

(upbeat electronic music) >> Announcer: Live from Las Vegas. It's theCUBE. Covering VMworld 2017. Brought to you by VMware and it's ecosystem partners. >> Welcome back. We're live here in Las Vegas from VMworld 2017, it's theCUBE's coverage three days wall to wall. On our third day, I'm John Furrier and Dave Vellante. Next guest Pai, who's the Vice President of Alliances and Business Development at Nutanix. Welcome to theCUBE. >> Thank you very much, happy to be here. >> We cover you user conference, but we're here at VMworld, which is VM ware's conference. >> Yes. >> You guys have a relationship, this is multiple years here. Just give a history, you guys are now a public company, congratulations. >> Thank you very much. >> You're doing well. Almost a year now. >> Tell us about the history with VMware and VMworld. >> Absolutely. I think our company was built on the fact that virtualization is going to be the future of the data center. Right? And if you look at the evolution over the last few years, that's been validated. We've been a partner with VMware since almost the inception of the company when we came out in 2010 2011. And in 2011, and we've now been in, this is our the seventh year. And we continue to see great momentum with our customers, and our partners, for that matter. As the seventh year, we are very much aligned with how the world is going. You know, hybrid cloud, in our multi-cloud world, and if you look at what we've done with our platform be it hyper-converge or the evolution of where that's going on with our role as Enterprise Cloud OS, we see a lot of synergy in terms of how VMware's approach to a software designed data center. And where we see the world going, "Hey everything needs "to be software defined. "And the architecture that's underneath that, needs to be invisible to customers. I think that's aligning very well, so it's happy to be here and our customers are very happy to see us here, and see both of us working closer together. >> And it's certainly been interesting to see the evolution of the partnership with VMware. When you guys first came out, I was like, "Wow "hot new company, come on in, infrastructure company." And then people realized, "Wow, this hyper-converged infrastructure thing, is really hot. "We should be doing that too." We remember we had Dheeraj on, right after there was a VxRack announcement, and he was welcoming it in, validation of course. First of all it's true, and that's what any smart CEO would say. But then it got very interesting when you guys announced Acropolis. And when everyone was pivoting to hyper-converge, you were pivoting to cloud. So what's behind that trend? How is that going? What are customers telling you? >> Sure. It's a great analogy of how we see the world. If you look how Nutanix germinated early in 2009, there where a couple of key trends in the market. When a public cloud was trying to become a very, very strong direction of where our customers wanted to go. Right? And if you look at what that direction meant, it was simplicity, so I can transmit through a single API, I can make infrastructure invisible, so I can therefore focus on the business and the business application that drives my business. And that's been the direction that we've taken. How do you make things simple for customers? And hyper-converge is an element of driving that simplicity. At an infrastructure level, we would drive that simplicity. And we've taken that theme and driven that all the way though, where we believe that, if you look at our fundamental team, as a Company (mumbles) cloud OS. Which is customers like cloud, but at the same time the direction they want to go is, "Take my applications, "Take it off premise in to a public cloud, "but the benefits of what public clouds mean. "I want it in my data center. "I can start small, grow at my space, have everything "simple to deploy." And that's been the direction we have continued to focus on. And that directionally has provided the true north of how we build our operating system stack. >> So on the customers side, I want to get your take on somethings. You guys have been very customer focused. First of all, you've been great technology, had a unique thing that no one saw, by the way. When we first interviewed Dheeraj, we're like, "This is going to be big." And just like my conversation with Andy Jassy at Amazon, the big winners are the ones who are misunderstood at the beginning. And then it becomes clear, "Why didn't we think of that?" Well, he did all the work. But you guys have to be customer focused. >> Absolutely. The success of VMware the success of Amazon, the success of you guys is to be customer focused. So I've got to ask you. "What are the VMware customers asking you, Nutanix, "to do for them?" What are some of the use cases? Where are you winning? And what does it mean for their customers? >> That's a great question. I think for us, the fundamental driver, what we try to do for customers, is, "How do we make things simple for them?" By simplicity, if you look at what we do is, for example, I'll give a simple analogy. One of the ways that we help our customers simplify infrastructure deployment, is make it a simple upgrade. So we have this concept of one-click upgrade. So what does that mean? What that means is, if a customers has an ESX running at say five dot five, and wants to move to six dot zero, the ability for them therefore to do that non destructively, so with a one click upgrade at a 3:00 p.m on a Wednesday afternoon, they can now upgrade the infrastructure. It upgrades the hypervisor, upgrades our software stack, upgrades the flash drives inside the system, and that ability to simplify a deployment of a VMware infrastructure becomes very easy for them. When they're running Vserv, they say we can more enable them at stacks. That ability to therefore make that simpler is a direction we want to make. Make go. So how do you make things simpler when they're running VMware environment? How do you make it simple to deploy in the EC application? Which is why, if a customer is running Horizon View and they want to deploy Nutanix, our deploy hyper-converge, we make it extremely simple to do that. So you can start small and still go from 300 to 3,000 to 30,000 with just a plug and play architecture, and the one click upgrade of the software stack that sits on top of the infrastructure. So that is simplicity we want to bring to our customers. >> So Pai, we had an interesting, Stu and I, John, we were at Dot Next, interesting conversation with Sunil Polepalli. >> Yeah. >> He had said at the time ... go back. You guys were doing really well and you could've exited the market, he said. We chose not to. We said, "Let's roll the dice and really go for it." That puts pressure on you and your colleagues, you in particular, as a business development executive For TAM expansion, of course the CEO as well. Very important that you now, if you're really going to go for the next level, you got to expand your TAM. And that took several forms. There was the Acropolis piece that got you into the cloud and multi-cloud business, that's clear. There were also an increased number of partnerships. Obviously the Dell partnership, Lenovo partnership, IBM with Picciano's group, very strategic relationships. And then of course, other go to market activities. >> Absolutely. >> I wonder if you could talk about that TAM expansion strategy as an individual who is at the heart of that. And take us through that and the process. >> Sure. Nobody can do this alone nowadays. It's a league of nations methodology, you have to leave in a cooperative world. You have to find a way to grow your market in a way that you can't do it alone. And we recognized that early on. And Deeraj, with the way he's built the business, it's about you can't do it alone. We were a small company back in 2010,. Yeah, we have the vision, but how do you execute in a way that we can take that vision, deliver it to thousands and thousands of customers. We have a multi-faceted go to market strategy, if you want to call it that. We depend very heavily on our partners to make us successful. Be that channel partners that have built up business on Nutanix. Be that the Sirius's of the four sides of the world, or companies like that. Be that as a segment, a part of our OEM strategy. When you have a software that simplifies customer's lives, you want to get it to them as quickly as possible. And I think Dell was early on in seeing that vision and saying, "Okay, I want to bring "that value to the customers." And Dell and Lenovo jumped on early on. Dell about four years ago almost, I'm thinking about how long it's been. And Lenovo a couple of years ago. And really, it allows us to reach a larger swath of customers globally much earlier. And give them the technology allowing them to differentiate themselves over the other, who receives as them, so that they're competitors. It gives them that differentiating factor. So it's a marriage of equals from a technology perspective and from a distribution perspective. If you look at what we did in terms of our technology partnership ecosystem, customers recognize that we're not the only game in town. They want us to partner with their strategic vendors and technology partners. So we built a very strong technology ecosystem. I think a couple of months you interviewed Laura Padilla on my team, on what the technology of the ecosystem does for our customers. Every customer conversation is less about, "Gee, "I like Nutanix, and here's what I want you to do more of." Which is obviously what they would love to do, but at the same time they respect what we do with VMware. Well what are we doing with >> It's a multi vendor world. No one company will dominate anymore. >> Correct. Correct. Exactly. >> Tell of the channel how you guys distribute, you rely on partners. >> Absolutely. >> On the sales side, is it direct? Indirect? What's the mix of business? >> So we don't sell direct. We only go through our channel partners. We have a strong channel partner ecosystem. >> So no direct sales. No one takes orders direct. >> No. Our sales guys work very closely with the channel partners, and they work very closely both with OEM's, and our channel partners. And both of them, for all of our OEM partners, they need to work with us when they're engage us in to a customer conversation, so that they can provide the best solution possible. So they don't go in rogue and say, "Here's Nutanix." And that creates conflict with the customer. >> This channel conflict is a disaster. >> Absolutely. So we maintain that >> How about professional services? Do you push that out to the partners as well? >> As much as possible. We have our own. So we have a services arm. Because at the same time, customers say, "Look. If I've got "Nutanix who's the best leader in understanding what "a technology is." We also have a services arm that allows us to lead with our conversation, but we train our channel partners with that same enablement technology. Saying, "You know what? "We can do it on our own, but we want you to lead that charge." As you know, channel partners lead a lot on services to drive their revenue. So it's not just about product and market, more it's about services, revenue; they can drive it at annuity level. We try the balancing act where we can lead the charge in technology for our customers, but at the same time lean on our channel partners to take that burden on, and therefore drive value for them as well. >> So while it's a multi vendor world, we certainly recognize that, again I come back to the decision that you guys made to be a leader. We sort of had a similar conversation with Robin Matlock, if you look at VMware, they want to be a leader. You have a particular opinion and point of view in the marketplace. And you're putting that forth. You really want to be the center point of management for multi clouds, from a data management perspective. >> Yes. >> And you're certainly growing from the point of your core customer base. That's a big ambition. >> It is a big ambition. >> Maybe we can talk about that a little bit. >> Absolutely. Our ambition is, if you look at the public cloud, you know five seven years ago, you just brought it up earlier. The ambition is very aggressive. And similarly, if you look at our ambition, we believe that methodology of making things simple for our customers. That does not stop at the hyper-converged world. It starts bleeding in to all the things that make operational complexity a burden for our customers, so they can focus on the business. When you start beating in to what that means, it means addressing some of the layers that make things complex for customers. So if you take your smart phone, all these hundreds of applications you may load on, those are all individual components that make your life easier. But how you bring that simplicity where you one click and you do things. So that's the germination of our methodology of the public cloud is transacted through a single API, but in the world of enterprise, you have hundreds of different vendors that need to work together to deliver the single API. Some of the new technologies we've learned, some of the new products we've launched, Is to bring that simplicity back into light. Be it on an application level. Be at an orchestration level. Or be it an infrastructure level. All those elements need to work together, through a single API for example, to make that simple. So customer's can't say, "I've got Nutanix, but Nutanix "is not the only infrastructure I have. Nutanix "is not just only ... "VMware is not the only hypervisor, I have." So how do I now bring that bridge together, so back to the multi vendor world, I can transact through Dell but I want to buy VMware, but run it on Nutanix, and use this orchestration layer, and go to the public cloud in a hybrid cloud world. And I've offices on oil rigs that need to be treated the same level as someone sitting in a data center. It's a complex world and you need to bring and have an opinionated design at some level, to bring that simplicity in and then diverge outside from that through an API based approach, to say, "You know what? We're not the only game in town." It needs to make sure that other companies can inter-operate, but make thing simple when you are in an opinionated world. >> And let the customer decide. Bringing your simplicity mantra to that world and say, "We think we're the best, here's why, "try it and see for yourself." >> Exactly. Right. So if you look at the new world, the new inner tagline is (mumbles) one OS, one click. That one click drives a lot of our methodology, making things simple. And one OS drives the ability for us to make that simple across the infrastructure stack, which bleeds from the public cloud approach, of what people are starting to like. >> Well Pai, thanks so much for coming on theCUBE, appreciate the insight. >> Thank you very much. >> Great conversation with the time we got. >> It's great to see you again. Of course Nutanix, there's a lot of coverage on SiliconANGLE dot com, and Wikibon dot com, on YouTube a lot of great content from the next conference. >> Big plug for your show in Nice this fall. >> Yes. >> You guys will have the international conference >> Thank you for bringing that up. DotNext Nice. It's our second year in Europe and our third conference. It's in Nice, November 6th through the 9th, we look forward to having all of our customers there, and learn more about Nutanix and where we're going. >> And Stu will be there to cover it. >> Yes. >> And you guys just a plug on for that. You guys do a good job, great content, and nice digs. You always have it in a great place. >> Thank you. Thank you very much. >> Customer or want to be a customer they have a good deal going on there. We're out of time. Thanks, Pai, for coming on. >> Thank you for being part of that journey, as well. >> That's theCUBE coverage of VMworld 2017. Nutanix, a great pioneer in the space, under the great entrepreneurial leader, Dheeraj Pandey. More CUBE coverage, after this short break. >> Thank you very much. (upbeat electronic music)