>> Thank you for joining us today for this session entitled, Deploy any Workload as a Service, When General Purpose Technology isn't Enough. This session today will be on our HPE GreenLake platform. And my name is Mark Seamans, and I'm a member of our GreenLake cloud services team. And I'll be kind of leading you through the material today which will include both a slide presentation as well as an interactive demo to get some experience in terms of how the process goes for interacting with your initial experience with our GreenLake system. So, let's go ahead and get started. One of the things that we've noticed over the last decade and I'm sure that you have as well has been the tremendous focus on accelerating business while concurrently trying to increase agility and to reduce costs. And one of the ways a lot of businesses have gone about doing that has been leveraging a cloud based technology set. And in many cases, that's involved moving some of the workloads to the public cloud. And so with that much said, though, while organizations have been able to enjoy that cost control and the agility associated with the public cloud. What we've seen is that the easy to move workloads have been moved but there's a significant amount as much as 70% in many cases of workloads that organizations run which still remain on prem. And there's reasons for that. Some cases it's due to data privacy and security concerns. Other times it's due to latency of really needing high-performance access to data. And the other times, it's really just related to the interconnected nature of systems and that you need to have a whole bunch of systems which form an overall experience and they need to be located close together. So, one of the challenges that we've worked with customers and have actually developed our GreenLake solution to address is this idea of trying to achieve this cloud-like experience for all of your apps and data in a way that leverages the best of the public cloud with also that same type of experience delivered on premise. So as you think about some of the challenges, again, we touched on this that customers are trying to address. One of the ones is this idea of agility, being able to move quickly and to be able to take a set of IT resources that you have and deploy them for different use cases and different models. So, it's one of the things as we built GreenLake, we really had a strong focus on is how do we provide a common foundation, a common framework to deliver that kind of agility. The next one is this term on the top right called scale. And one of the words you may hear is you hear cloud talked about regularly is this notion of what's called elasticity and the ability to have something stretch and get larger kind of on an on demand basis. That's another challenge and premise that we've really tried to work through. And you'll see how we've addressed that. Now, obviously, as you do this, you can achieve scale if you just put a ton of equipment in place much more maybe than you need at any given time but with that comes a lot of costs. And so as you think about wanting to have an agile and flexible system, what you'd also like is something where the costs flexes as your needs grow and it's elastic and that it can get larger and then it can get smaller as needed as well. So, we'll talk about how we do that with our GreenLake solution. And then finally it's complexity, it's trying to abstract away the vision for people of having to be aware of all the complexity it takes to build these systems and provide a single interface, a single experience for people to manage all of their IT assets. So we do that through this solution called HPE GreenLake and really we call it the cloud that comes to you. And as you think about what we're really trying to do here is take the notion of a cloud from being a place where people have thought about the public cloud and turning that to an idea of the cloud being an experience. And so it's regardless of whether it's in the public cloud or running on premise or as is the case with GreenLake, whether it's a mixture of those and maybe even a mixture of multiple public clouds with on-prem experience, the cloud now becomes something you experience and that you leverage as opposed to a place where you have an account and that can include edge computing combined with co-location or data center based computing. It could include equipment stored in your own data center and certainly it can include resources in the public cloud. So, let's take a look at how we go about delivering the experience and what some of those benefits are as we put these solutions in place. So, as you think about why you'd want to do this and the benefits you get from GreenLake, what we've seen in terms of both working with customers and actually having studies done with analysts is the benefits are numerous, but they come in areas that are shown here, one time to deployment. And that once you get this flexible and easily to manage environment in place with what we'll show you are these prebuilt, pre-configured and managed as a service solutions, your time to deployment for putting new workloads in place can shrink dramatically. The next in terms of having these pre-configured solutions and combining both the hardware and software technology with a set of managed services through our GreenLake managed services team, what you can do is dramatically reduce the risk of putting a new workload in place. So for example, if you wanted to deploy virtual desktop infrastructure and maybe you haven't done that in the past, you can leverage a GreenLake VDI solution along with GreenLake management services to very predictably and very reliably put that solution in place. So you're up and running focusing on the needs of your users with incredibly lowered risk, because this was built on a pre-validated and a pre-certified foundation. Obviously, I talked earlier about the idea with GreenLake is that you have flexibility in terms of scaling up your use of the resources, even though they're computers that may be in your data center or a colo, and also scaling them back down. So if you have workloads over time, that may be even an end of month cycle or an end to quarter cycle where certain workloads get larger and then would get smaller again, the ability with GreenLake on a consumption billing basis is there where your costs can flow as your use of the systems flow. And again, I'll show you a screen in just a few minutes, that kind of illustrates what that looks like. And then the last piece is the single pane of glass for control and insight into what's going on. And what we mean by that is not just what's going on from a cost perspective, but also what's going on from a system utilization perspective. You'll see in one of the screens I'll show that there's a system utilization report of all of your GreenLake resources that you can view at any time. And so what you can get visibility to, for example, with storage capacity as your storage capacity is being consumed over time as you generate more data, the system will tell you, hey, you're getting up to about 60, 70% utilized. And then at that point, we would be able to work with you to automatically deploy even though you won't be paying for it yet, additional storage capacity so it's ready as your needs grow to encompass that. So in terms of what are some of these services that we deliver as part of GreenLake? Well, they range and you see here a portfolio of services that we offer. If you start at the bottom, it's simple things, right? Things like compute as a service, and I'll show you examples of that today, networking as a service, hyper-converged infrastructure as a service. And then if we work our way up the stack, we move from kind of basic services to platform services, things like VMware and containers as a service. And then if we go to the top layer of this, we actually can offer complete solutions for targeted workloads. So if your need was for example, to run machine learning and AI, and you wanted to have a complete environment put in place that you could leverage for machine learning and AI and use it and consume it on a consumption as a service basis, we've got our MLOps solution that delivers that. And similarly, I mentioned earlier, VDI for virtual desktops or a solution for SAP HANA. So, the solutions range from very basic compute at the foundation all the way up to complete workload solutions that you can achieve. And the portfolio of what these are is expanding all the time. And as you'll see, you can go out to our hpe.com site and see a complete catalog of all the GreenLake services that are available. So let's take a minute and let's drill in like on that MLOps solution. And we can take a look at how that fits together and what makes that up. So, if you think about GreenLake for MLOps, it's a fast path for data scientists, and it's really oriented around the needs of data scientists within your organization who have a desire to be able to get in and start to analyze data for advantage in your business. So, what comes with an MLOps solution from GreenLake starts at the left side of the slide here with a fully curated hardware platform, including GPU based nodes, data science, optimized hardware, all the storage that you're going to need to run at scale and that performance to make these workloads work. And so that's one piece of it is a curated hardware stack for machine learning. Next in the software component, we pre-validated a whole bunch of the common stack elements that you would need. So beyond operating systems, but things for doing continuous integration, for things like TensorFlow and Jupyter notebooks are already pre-validated and delivered with this solution. So, the tools that your data scientists will need come with this, ready to go, out of the box. And then finally, as this solution gets delivered, there's a services component to it beyond just us installing this full thing and delivering a complete solution to you. But the GreenLake management services options where our services teams can work side by side with data scientists to assist them in getting up to speed on the solution, to leveraging the tools, to understanding best practices if you want those, if you want that assistance for deploying MLOps and the whole thing's delivered as a service. As similar, we similar solutions for other workloads like SAP HANA that would leverage again, different compute building blocks, but always in a way that's done for workload optimized solutions, best practice and that build up that stack. And so your experience in consuming this is always consistent, but what's running under the hood isn't just a generic solution that you might see in for example, a public cloud environment, it's a best practice, hardware optimized, software optimized environment built for each one of the workloads that we can deploy. So I like to do at this point is actually show you what's the process like for actually specifying a GreenLake solution. And maybe we'll take a look at compute as our example today. So, what I've got here is a browser experience, I'm just in my web browser, I'm on the hpe.com website and what I'd like to do. I mean the GreenLake section and I've actually clicked on this services menu and I'm going to go ahead and scroll down. And one of the things you can see here is that catalog of GreenLake services that I referenced. So, just like we showed you on the slide, this is that catalog of services that you can consume. I'm going to go to compute and we'll go about quoting a GreenLake compute solution. So we see when I clicked on that, one of the options I have is to get a price in my inbox. And I'll click on that to go in here to our GreenLake quick quote environment where if in my case here for our demonstration, I'll specify that I'd like to purchase to add to my GreenLake environment some additional general compute capability for some workloads that I might like to run. If I click on this, I go in and you notice here that I'm not going to specify server types. I'm really going to tell the system about the types of workloads that I'd like to run and the characteristics of those workloads. So for example, my workload choices would be adaptable performance or maybe densely optimized compute for highly scalable and high performance computing requirements. So, I'll select adaptable performance. I have a choice of processor types, my case, I'll pick Intel. And I then say, how many servers for the workloads that I want to run would be part of the solution. Again, in my case, maybe we'll quote a 20 server configuration. Now, as we think about the plans here, what you can see is we're really looking at the different options in terms of a balanced performance and price option which is the recommended option. But if I knew that the workloads I were going to run were more performance optimized, I could simply click on that option. And in the system under the hood does all the work to reconfigure the system. I'm not having to pick individual server options as you see. So once I picked between cost optimized balance or performance, I can go in here and select the rest of the options. Now, we'll start at the top right and you see here from a services perspective, this is where it specifies how much services content and in services assistance I'd like all the way from just doing proactive metering of my solution all the way through being able to do actual workload deployment and assistance with me physically managing the equipment myself. The other piece I'll focus on is this variable usage. And this comes back to how much of the variable time, variable capacity of additional capacity, what I like to have available in my data center for this solution. So if I know that my flex could be larger in the future of the capacity, I want to flex up and down. I might pick a slightly larger amount of flex capacity at my location as part of this solution. With that, I'd select that workload. And the less steps would be, I could click on get price and this whole thing will be packaged up and shipped to you in terms of the price of the solution. And any other details that you might like to see. And I encourage you to go out to hpe.com and to go through this process yourself for one of the workloads that might be of interest for you to get a flavor of that experience. So if we move forward, once you've deployed your GreenLake solution, one of the things you see here is that single pane of glass experience in terms of managing the system, right? We've got a single panel that all in one place provides you access to your cost information for billing, and what's driving that billing, your middle and the middle of the top center, you can see we've got information on the capacity planning but then we can actually drill in and actually look at additional things like services we offer around continuous compliance, capacity planning data for you to build and see how things like storage or filling, cost control information with recommendations around how you could reduce or minimize your costs based on the usage profile that you have. So, all of this is a fully integrated experience that can span components running both on-premise and also incorporating services that could be in the public cloud. Now, when we think about who's using this and why is this becoming attractive? You can imagine just looking at this capability that this ability to blend public cloud capabilities with on-premise or in a co-location, private data center capabilities provides tremendous power and provides tremendous flexibility for users. And so we're seeing this adopted broadly as kind of a new way, people are looking to take the advantages of cloud, but bring them into a much more self-managed or on-premise experience. And so some example, customers here include deployments in the automotive field, both at Porsche or over on the right at Zenseact, which is the autonomous driving division of Volvo where they're doing research with tremendous amounts of data to produce the best possible autonomous driving experience. And then in the center, Danfoss who is one of the world's leading manufacturers of both electric and hydraulic control components. And so as they produce components themselves, that drive an optimized management of physical infrastructure, power, liquids and cooling, they're leveraging GreenLake for the same type of control and best practice deployment of their data centers and of their IT infrastructure. So again, somebody who's innovating in their own world taking advantage of compute innovations to get the benefits of the cloud and the flexibility of a cloud-like environment but running within their own premise. And it's not just those three customers clearly. I mean, what we're seeing is, as you see on the slide, it's a unique solution in the market today. It provides the true benefits of the cloud, but with your own on-premise experience, it provides expertise in terms of services to help you take best advantage of it. And if you look at the adoption by customers, over a thousand customers in 50 countries have now deployed GreenLake based solutions as the foundation on which they're building their next generation IT architecture. So, there's a lot of unique capabilities that as we built GreenLake, that we have that really make this a single pane of glass and a very, very unified and elegant experience. So as we kind of wrap up, there's three things I want to call your attention to, one, GreenLake, which we focused a lot on today. I'd also like to call your attention to the point next services, which are an extension of those GreenLake services that I talked about earlier but there's a much broader portfolio of what Pointnext can do in delivering value for your organization. And then again, HPE financial services who much like what we do with GreenLake in this as a service consumption environment can provide a lot of financial flexibility in other models and other use cases. So, I'd encourage you to take time to learn about each of those three areas. And then there's obviously many many resources available online. And again, there's some that are listed here but it kind of as a single point takeaway from this slide, I encourage you to go to hpe.com. If you're interested in GreenLake, click on our GreenLake icon and you can take yourself through that quoting experience for what would be interesting and certainly as well for our compute solutions, there's a tremendous amount of information about the leading solutions that HPE brings to market. So with that, I hope that's been an informative set of experience. I'm thanking you for spending a little bit of time with us today and hopefully you'll take some time to learn more about GreenLake and how it might be a benefit for you within your organization. Thanks again.