Red Hat Summit 2024 | Frances Lashen Guida | HPE

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Frances (Lashen) Guida

Director, Compute Solutions Product Management

HPE

Purpose-built AI solutions: HPE’s role in shaping the future of enterprise AI

Purpose-built AI solutions are revolutionizing how enterprises tackle the new workload of the decade: artificial intelligence.With the distinct trajectory of AI architecture compared to virtualization and cloud-native technologies, Hewlett Packard Enterprise Co. leverages its compute power to develop foundational models tailored for specific use cases. This strategic focus is helping businesses navigate the complexities of AI implementation and maximize technological potential, according to Frances Guida (pictured), director of compute solutions product management at HPE

play_circle_outline Fueling AI Innovation: NVIDIA's Purpose-Built Solutions and HPE's Evolutionary 25-Year Red Hat Partnership

play_circle_outline Hybrid cloud and AI integration with HPE and Red Hat

play_circle_outline Co-engineering and reference architectures in the partnership between HPE and Red Hat

play_circle_outline Future focus on AI driving business productivity and impact on the bottom line

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Frances Lashen Guida | HPE

Frances (Lashen) Guida

Director, Compute Solutions Product Management HPE

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Rebecca Knight

>> Hello everyone and welcome back. We are here in day two of the Red Hat Summit theCUBE's live coverage, wall-to-wall coverage. I'm your host, Rebecca Knight alongside my cohost and analyst, Rob Strachay. Rob, have you... I don't don't know if you, have you walked the show floor much?

>> I just did while you were doing that last interview and the energy is unbelievable with the people on the floor.

Rebecca Knight

>> Yeah. So many partners and customers and it is just really exciting to see a lot of buzz.

>> Yeah, the ecosystem is thriving, that's what I know, and I think open source and the openness has a lot to do with that.

Rebecca Knight

>> Well, exactly. And a great way to introduce our next guest. She is Frances Guida, the Director of Compute Solutions & AI at HPE. Thanks so much for... Is this your first time on theCube Frances?

Frances (Lashen) Guida

>> This is my first time on theCUBE. Yes.

Rebecca Knight

>> Congratulations!

Frances (Lashen) Guida

>> Thank you. This is exciting.

Rebecca Knight

>> It won't be your last I can guarantee. So HPE is a long-standing partner of Red Hat, 25 years. Tell our viewers a little bit more about this partnership, what it's all about and how you collaborate together.

Frances (Lashen) Guida

>> Yeah, so I've been around the industry for quite some time, so I actually even remember the beginning of the HPE Red Hat partnership and it's phenomenal to see how it's evolved, right? It started off just, we have systems that will run Red Hat Linux, but it's evolved. We have reference architectures, we have full-blown solutions that customers can buy. We're touching almost every part of how Red Hat and Red Hat obviously has expanded. We touch Ansible, so it's really tremendous how we can come together to provide these complete solutions for Red Hat customers.

>> And I think, again, having been at HPE, I do know a little bit about the standing of the relationship, which has been for quite some time. I think what's really interesting has been the explosion of AI. You guys had a great quarter, great year, I think driven a lot as Antonio said by AI and things of that nature. What is it really around HPE's compute that's helping enable AI and how does that tie in with what's going on here at Red Hat?

Frances (Lashen) Guida

>> Yeah, well, I mean AI has been talked about in the industry for decades, but obviously it's not news. But with the evolution of ChatGPT, all of a sudden it sparked the art of the possible. But the great news for HPE is that we've actually been doing AI for decades just like everybody else, just like the rest of the industry. We make leading supercomputers that power a lot of those foundational models that you see. We have IP, things like direct liquid cooling. We've made a number of very interesting software acquisitions. So we bring a wide set of capabilities as well as services capabilities to AI and we are thrilled about the next decade in terms of what that is going to mean.

Rebecca Knight

>> You made the great point. The AI is not new for technology companies certainly, but for a lot of non-tech companies, it is a relatively new thing and they're starting to dive in and it's intimidating and daunting and they don't want to get it wrong. They don't even know where to start. So how do you help customers think through these challenges and hurdles and how do you help them overcome their fears?

Frances (Lashen) Guida

>> Well, you see, you're absolutely right. So the AI architecture is not exactly the same as the architecture that we've used for virtualization and for cloud-native. So customers do need to get their heads around that. One of the things that we've really focused very hard on is a set of purpose-built solutions that can actually take a lot of the complexity about how do you configure a system, how do you configure the network, how do you connect the system to the storage? What's the right software environment? And putting that all into a package that is almost, if I would dare say turnkey, but it's something that you can really get started very quickly and you don't have to go through all of the work because we've done that for you. We spend months talking to NVIDIA engineers to figure out exactly how to optimize the systems. You get the benefit. Our customers get the benefit of that.

>> Yeah, I was going to say, even Antonio recently brought up NVIDIA and talked about how HPE is really focusing on building solutions to help with training, tuning, fine-tuning, and even inference, and I know there's a cloud-to-edge is really the tagline there. How is it really going with respect to NVIDIA and the integrations that you're doing with them?

Frances (Lashen) Guida

>> Well, we have a very long-standing partnership. In fact, we've been partnered with NVIDIA probably just about as long as we've been partnered with Red Hat. So strong relationships there. Obviously, NVIDIA GPU is part of our ProLiant server and part of our Cray server portfolio. We have our own AI software that we're aligning with their software. We are taking some of the NVIDIA switches, so we've got a very, very deep partnership. And actually, if you want to learn more about that, I'd encourage you to get your tickets for HPE Discover, because we're going to have Jensen Huang on stage with Antonio.

>> I was going to say, we're just about a month away from that aren't we?

Frances (Lashen) Guida

>> Well, I know. Yeah, I'll be there. Yeah.

>> Also, Antonio on the Sphere, which is going to be pretty cool as well.

Frances (Lashen) Guida

>> Antonio and Jensen in the Sphere.

Rebecca Knight

>> So one of the things that really makes all of this come to life is to hear customer stories and how customers are actually using these things and making their businesses tighter and more efficient as well as their employees jobs more interesting and stimulating. Can you talk a little bit about some of the use cases that HPE is seeing, and especially which industries it's most useful in?

Frances (Lashen) Guida

>> Well, I think that's one of the phenomenal things about AI is that it is such a horizontal technology. So we see, for example, customer service. Well, any organization has customer service and AI can very, very rapidly transform customer service. I've had the privilege of interacting with a number of customers here, and that's one of the things that they're talking about. So customer service key and financial services, things like fraud detection, but it really, it's very horizontal technology. It's not something that's very specific to one industry or another.

>> Yeah, I think one of the big things that we are hearing here is just the openness. And I know that again, HPE's been working with Llama 2 and other different models, and I think like you said, finance, we also see healthcare. We had a Boston Children's Hospital on last night.

Frances (Lashen) Guida

>> Right. Yup.

>> And they were actually doing, like you said, kind of the traditional AI, not the generative AI, but one of the I think interesting points was that I made to them is that I'm actually, I've talked to a couple hospital systems and they're actually using generative AI to do the first draft of discharge papers so that at least they're not having to spend all the time doing that. Are you seeing that there's a lot of things coming together, especially with what you have with Ezmeral and all of that and how this is all being pulled together from a solutions' perspective?

Frances (Lashen) Guida

>> Yeah, absolutely. I think there's the proof of concept, and I think a lot of enterprises probably at this point have started their first proofs of concept, and now they're starting to think, okay, we see where this can be productive, but now we need to put in place the practices, the processes, the systems to help us scale. So that's exactly where some of our software IP, like Ezmeral, Unified Analytics, some of machine learning development environment, all of those things, we can really help organizations figure out, here's a great first start, but then how are you going to scale it across your enterprise?

Rebecca Knight

>> I mean, what you're describing is really change management there, because I mean customers, if companies are starting to see, "Okay, I get this now. I see how we can make our people more productive, make our systems run more efficiently." How do you then work with customers really? And I would imagine it's more on a human level than it is on a technology level at this point.

Frances (Lashen) Guida

>> Oh, very much. Right. So I mean, I think I'm talking about the whole IT processes, but I certainly don't want to minimize the fact that AI is going to bring a change to the role of an individual developer or the role of an individual customer support organization, the customer service representative, even I'm a knowledge worker, the role of a knowledge worker. It's great that if AI can summarize those action items for me, that I don't have to do that after I lead a meeting. So sort of definitely helping people work through the change. I mean, I think that's one of the things that society actually is going to need to address over the next several years. I think we'll look back and we'll say, "I can't believe we were doing these things without AI," but it'll take a while before everybody gets comfortable with that.

>> Yeah, I agree. I think that a big piece of how this all comes together is really, again, getting the right infrastructure that is almost transparent, and I think, again, that whole Antonio's view of edge to cloud and really I think he was ahead of the curve on that to give him credit when he started using that. I think when that actually is applied, you start to look at hybrid cloud and AI. How is HPE playing with Red Hat in the hybrid cloud?

Frances (Lashen) Guida

>> Yeah. Well, AI is the classic hybrid workload. So every organization that I talk to is very conscious of the fact that they will be having some AI that they're going to run in the cloud and some AI they're going to be running either in their own data centers or all the way out at the edge. One of the things that we see is that you want to do your AI inference wherever that data is. So if the data's already in the cloud, that's probably where we're going to do it. If you're doing AI inference all the way out at a retail location or a hospital, you're not sending that data all the way back. You need to process that instantly and in real time. And so customers will be making very evolving decisions about where to best place those workloads. And I think that plays right into the strengths of HPE with HPE GreenLake and our platform for bringing the hybrid cloud, bringing the cloud experience to your on-prem environment, we can bring a lot of value to our customers there.

Rebecca Knight

>> We talk a lot here on theCUBE about the future of work and the future of jobs, and something you had said about how knowledge workers identify themselves and the kind of work they do and the energy that they're bringing to their jobs and how AI is going to change that. I was just looking at your LinkedIn, you're an econ and French major from a liberal arts college. Same. I am a Wesleyan graduate. You went to Williams.

Frances (Lashen) Guida

>> You stalked me, you got me.

Rebecca Knight

>> So I'm just so curious, as someone who has spent really her career in technology and many, many decades at HPE, how you think about the future of jobs and how you think about the students who are graduating today maybe with liberal arts degrees and the kinds of skills you want them to bear in their jobs, and what industries at large are thinking about in terms of what they need out of their workers?

Frances (Lashen) Guida

>> Well, I'll tell you exactly what I tell my niece and nephew who are college age, which is data. Go take those data science courses. Develop now that deep understanding of data because this is going to change your world. I can see from where I sit that this is going to change your world and you should be getting it on the ground floor right now.

>> Yeah, shout out to my son. He got an A in his Data course this semester.

Frances (Lashen) Guida

>> Well done.

>> And kept his GPA up too, but I think....

Frances (Lashen) Guida

>> I did take one computer science class as part of my liberal arts. So there we go.

>> I think again, I think AI is one of those leveling technologies that can help people and 80% of people work outside their major anyways. So I think when you start to look at how AI can help people, and I think one of the interesting pieces, and you kind of hit on it a little bit was that when you're talking about the partnership between Red Hat and HPE, there's a lot of co-engineering that's going on into these solutions.

Frances (Lashen) Guida

>> Absolutely.

>> And it's not just like, "Hey, it's just a rail box," or, "Hey, it's just an OpenShift," it's a solution that you're shipping solution.

Frances (Lashen) Guida

>> It's got to be a solution.

>> Kind of explain a little bit more about that.

Frances (Lashen) Guida

>> Well, that's one of the things that we've been doing with Red Hat for the better part of the last decade, if not more. The number of reference architectures that we have published that bring our systems, our storage together with various different Red Hat technologies, whether that's RHEL or OpenShift or all of the various different Red Hat platforms. And so we are doing that. We've been doing that in the cloud-native space, helping customers transform from more traditional applications, and modernize their applications, the reference architectures. The automation that we even bring on top of our reference architectures a big part of what we're doing in the cloud-native space, and we are going to be doing that same thing in the AI space.

>> And that also ties back into Ansible and all of the automation and playbooks there as well, right?

Frances (Lashen) Guida

>> Oh, absolutely. In fact, taken me back about 10 years ago in my career, HPE had a infrastructure management tool called OneView, and it was different from the other infrastructure management tools because we actually designed it kind of to be API first. Nobody else at the time had anything that was for managing what was going on in your physical infrastructure that was really programmable. We designed that as API first. And one of the very, very first partners that we worked with was Ansible, even before they were actually a part of Red Hat, because customers very quickly saw the value of, oh, it's API first. All I need to do is add these Ansible playbooks into my broader data center automation practices, and I can bring some to the physical infrastructure, some of the same kind of automation that I could already bring to my virtual infrastructure. So it's exciting to see 10 years on how that, which was kind of experimental at the time has now become really mainstream.

Rebecca Knight

>> As we wrap up, I'd love just your final thought. If you could fuse cast for a little bit, what is on tap for this year and what do you think we're going to be talking about at next year's Red Hat Summit?

Frances (Lashen) Guida

>> Next year's Red Hat Summit. I think we will still be talking about AI, but we will be talking about the people who are really driving business productivity using AI. So it will therefore a subset of customers, AI is going to move out of the experimental stage, the pilot stage into the production stage, and Red Hat's going to have somebody on stage hopefully working with HPE as well, that is going to talk about how they have really made a big impact on their bottom line because of some of the things that AI is going to bring to that business.

Rebecca Knight

>> Well, we're already looking forward to it. Thank you so much for coming on theCUBE. Frances.

Frances (Lashen) Guida

>> All right, thank you. Great to be here.

Rebecca Knight

>> I'm Rebecca Knight for Rob Strachay. Stay tuned for more of theCUBE's live coverage of the Red Hat Summit. You're watching theCUBE, the leader in enterprise tech news.

Frances Lashen Guida | HPE

search

Rebecca Knight

>> Hello everyone and welcome back. We are here in day two of the Red Hat Summit theCUBE's live coverage, wall-to-wall coverage. I'm your host, Rebecca Knight alongside my cohost and analyst, Rob Strachay. Rob, have you... I don't don't know if you, have you walked the show floor much?

>> I just did while you were doing that last interview and the energy is unbelievable with the people on the floor.

Rebecca Knight

>> Yeah. So many partners and customers and it is just really exciting to see a lot of buzz.

>> Yeah, the ecosystem is thriving, that's what I know, and I think open source and the openness has a lot to do with that.

Rebecca Knight

>> Well, exactly. And a great way to introduce our next guest. She is Frances Guida, the Director of Compute Solutions & AI at HPE. Thanks so much for... Is this your first time on theCube Frances?

Frances (Lashen) Guida

>> This is my first time on theCUBE. Yes.

Rebecca Knight

>> Congratulations!

Frances (Lashen) Guida

>> Thank you. This is exciting.

Rebecca Knight

>> It won't be your last I can guarantee. So HPE is a long-standing partner of Red Hat, 25 years. Tell our viewers a little bit more about this partnership, what it's all about and how you collaborate together.

Frances (Lashen) Guida

>> Yeah, so I've been around the industry for quite some time, so I actually even remember the beginning of the HPE Red Hat partnership and it's phenomenal to see how it's evolved, right? It started off just, we have systems that will run Red Hat Linux, but it's evolved. We have reference architectures, we have full-blown solutions that customers can buy. We're touching almost every part of how Red Hat and Red Hat obviously has expanded. We touch Ansible, so it's really tremendous how we can come together to provide these complete solutions for Red Hat customers.

>> And I think, again, having been at HPE, I do know a little bit about the standing of the relationship, which has been for quite some time. I think what's really interesting has been the explosion of AI. You guys had a great quarter, great year, I think driven a lot as Antonio said by AI and things of that nature. What is it really around HPE's compute that's helping enable AI and how does that tie in with what's going on here at Red Hat?

Frances (Lashen) Guida

>> Yeah, well, I mean AI has been talked about in the industry for decades, but obviously it's not news. But with the evolution of ChatGPT, all of a sudden it sparked the art of the possible. But the great news for HPE is that we've actually been doing AI for decades just like everybody else, just like the rest of the industry. We make leading supercomputers that power a lot of those foundational models that you see. We have IP, things like direct liquid cooling. We've made a number of very interesting software acquisitions. So we bring a wide set of capabilities as well as services capabilities to AI and we are thrilled about the next decade in terms of what that is going to mean.

Rebecca Knight

>> You made the great point. The AI is not new for technology companies certainly, but for a lot of non-tech companies, it is a relatively new thing and they're starting to dive in and it's intimidating and daunting and they don't want to get it wrong. They don't even know where to start. So how do you help customers think through these challenges and hurdles and how do you help them overcome their fears?

Frances (Lashen) Guida

>> Well, you see, you're absolutely right. So the AI architecture is not exactly the same as the architecture that we've used for virtualization and for cloud-native. So customers do need to get their heads around that. One of the things that we've really focused very hard on is a set of purpose-built solutions that can actually take a lot of the complexity about how do you configure a system, how do you configure the network, how do you connect the system to the storage? What's the right software environment? And putting that all into a package that is almost, if I would dare say turnkey, but it's something that you can really get started very quickly and you don't have to go through all of the work because we've done that for you. We spend months talking to NVIDIA engineers to figure out exactly how to optimize the systems. You get the benefit. Our customers get the benefit of that.

>> Yeah, I was going to say, even Antonio recently brought up NVIDIA and talked about how HPE is really focusing on building solutions to help with training, tuning, fine-tuning, and even inference, and I know there's a cloud-to-edge is really the tagline there. How is it really going with respect to NVIDIA and the integrations that you're doing with them?

Frances (Lashen) Guida

>> Well, we have a very long-standing partnership. In fact, we've been partnered with NVIDIA probably just about as long as we've been partnered with Red Hat. So strong relationships there. Obviously, NVIDIA GPU is part of our ProLiant server and part of our Cray server portfolio. We have our own AI software that we're aligning with their software. We are taking some of the NVIDIA switches, so we've got a very, very deep partnership. And actually, if you want to learn more about that, I'd encourage you to get your tickets for HPE Discover, because we're going to have Jensen Huang on stage with Antonio.

>> I was going to say, we're just about a month away from that aren't we?

Frances (Lashen) Guida

>> Well, I know. Yeah, I'll be there. Yeah.

>> Also, Antonio on the Sphere, which is going to be pretty cool as well.

Frances (Lashen) Guida

>> Antonio and Jensen in the Sphere.

Rebecca Knight

>> So one of the things that really makes all of this come to life is to hear customer stories and how customers are actually using these things and making their businesses tighter and more efficient as well as their employees jobs more interesting and stimulating. Can you talk a little bit about some of the use cases that HPE is seeing, and especially which industries it's most useful in?

Frances (Lashen) Guida

>> Well, I think that's one of the phenomenal things about AI is that it is such a horizontal technology. So we see, for example, customer service. Well, any organization has customer service and AI can very, very rapidly transform customer service. I've had the privilege of interacting with a number of customers here, and that's one of the things that they're talking about. So customer service key and financial services, things like fraud detection, but it really, it's very horizontal technology. It's not something that's very specific to one industry or another.

>> Yeah, I think one of the big things that we are hearing here is just the openness. And I know that again, HPE's been working with Llama 2 and other different models, and I think like you said, finance, we also see healthcare. We had a Boston Children's Hospital on last night.

Frances (Lashen) Guida

>> Right. Yup.

>> And they were actually doing, like you said, kind of the traditional AI, not the generative AI, but one of the I think interesting points was that I made to them is that I'm actually, I've talked to a couple hospital systems and they're actually using generative AI to do the first draft of discharge papers so that at least they're not having to spend all the time doing that. Are you seeing that there's a lot of things coming together, especially with what you have with Ezmeral and all of that and how this is all being pulled together from a solutions' perspective?

Frances (Lashen) Guida

>> Yeah, absolutely. I think there's the proof of concept, and I think a lot of enterprises probably at this point have started their first proofs of concept, and now they're starting to think, okay, we see where this can be productive, but now we need to put in place the practices, the processes, the systems to help us scale. So that's exactly where some of our software IP, like Ezmeral, Unified Analytics, some of machine learning development environment, all of those things, we can really help organizations figure out, here's a great first start, but then how are you going to scale it across your enterprise?

Rebecca Knight

>> I mean, what you're describing is really change management there, because I mean customers, if companies are starting to see, "Okay, I get this now. I see how we can make our people more productive, make our systems run more efficiently." How do you then work with customers really? And I would imagine it's more on a human level than it is on a technology level at this point.

Frances (Lashen) Guida

>> Oh, very much. Right. So I mean, I think I'm talking about the whole IT processes, but I certainly don't want to minimize the fact that AI is going to bring a change to the role of an individual developer or the role of an individual customer support organization, the customer service representative, even I'm a knowledge worker, the role of a knowledge worker. It's great that if AI can summarize those action items for me, that I don't have to do that after I lead a meeting. So sort of definitely helping people work through the change. I mean, I think that's one of the things that society actually is going to need to address over the next several years. I think we'll look back and we'll say, "I can't believe we were doing these things without AI," but it'll take a while before everybody gets comfortable with that.

>> Yeah, I agree. I think that a big piece of how this all comes together is really, again, getting the right infrastructure that is almost transparent, and I think, again, that whole Antonio's view of edge to cloud and really I think he was ahead of the curve on that to give him credit when he started using that. I think when that actually is applied, you start to look at hybrid cloud and AI. How is HPE playing with Red Hat in the hybrid cloud?

Frances (Lashen) Guida

>> Yeah. Well, AI is the classic hybrid workload. So every organization that I talk to is very conscious of the fact that they will be having some AI that they're going to run in the cloud and some AI they're going to be running either in their own data centers or all the way out at the edge. One of the things that we see is that you want to do your AI inference wherever that data is. So if the data's already in the cloud, that's probably where we're going to do it. If you're doing AI inference all the way out at a retail location or a hospital, you're not sending that data all the way back. You need to process that instantly and in real time. And so customers will be making very evolving decisions about where to best place those workloads. And I think that plays right into the strengths of HPE with HPE GreenLake and our platform for bringing the hybrid cloud, bringing the cloud experience to your on-prem environment, we can bring a lot of value to our customers there.

Rebecca Knight

>> We talk a lot here on theCUBE about the future of work and the future of jobs, and something you had said about how knowledge workers identify themselves and the kind of work they do and the energy that they're bringing to their jobs and how AI is going to change that. I was just looking at your LinkedIn, you're an econ and French major from a liberal arts college. Same. I am a Wesleyan graduate. You went to Williams.

Frances (Lashen) Guida

>> You stalked me, you got me.

Rebecca Knight

>> So I'm just so curious, as someone who has spent really her career in technology and many, many decades at HPE, how you think about the future of jobs and how you think about the students who are graduating today maybe with liberal arts degrees and the kinds of skills you want them to bear in their jobs, and what industries at large are thinking about in terms of what they need out of their workers?

Frances (Lashen) Guida

>> Well, I'll tell you exactly what I tell my niece and nephew who are college age, which is data. Go take those data science courses. Develop now that deep understanding of data because this is going to change your world. I can see from where I sit that this is going to change your world and you should be getting it on the ground floor right now.

>> Yeah, shout out to my son. He got an A in his Data course this semester.

Frances (Lashen) Guida

>> Well done.

>> And kept his GPA up too, but I think....

Frances (Lashen) Guida

>> I did take one computer science class as part of my liberal arts. So there we go.

>> I think again, I think AI is one of those leveling technologies that can help people and 80% of people work outside their major anyways. So I think when you start to look at how AI can help people, and I think one of the interesting pieces, and you kind of hit on it a little bit was that when you're talking about the partnership between Red Hat and HPE, there's a lot of co-engineering that's going on into these solutions.

Frances (Lashen) Guida

>> Absolutely.

>> And it's not just like, "Hey, it's just a rail box," or, "Hey, it's just an OpenShift," it's a solution that you're shipping solution.

Frances (Lashen) Guida

>> It's got to be a solution.

>> Kind of explain a little bit more about that.

Frances (Lashen) Guida

>> Well, that's one of the things that we've been doing with Red Hat for the better part of the last decade, if not more. The number of reference architectures that we have published that bring our systems, our storage together with various different Red Hat technologies, whether that's RHEL or OpenShift or all of the various different Red Hat platforms. And so we are doing that. We've been doing that in the cloud-native space, helping customers transform from more traditional applications, and modernize their applications, the reference architectures. The automation that we even bring on top of our reference architectures a big part of what we're doing in the cloud-native space, and we are going to be doing that same thing in the AI space.

>> And that also ties back into Ansible and all of the automation and playbooks there as well, right?

Frances (Lashen) Guida

>> Oh, absolutely. In fact, taken me back about 10 years ago in my career, HPE had a infrastructure management tool called OneView, and it was different from the other infrastructure management tools because we actually designed it kind of to be API first. Nobody else at the time had anything that was for managing what was going on in your physical infrastructure that was really programmable. We designed that as API first. And one of the very, very first partners that we worked with was Ansible, even before they were actually a part of Red Hat, because customers very quickly saw the value of, oh, it's API first. All I need to do is add these Ansible playbooks into my broader data center automation practices, and I can bring some to the physical infrastructure, some of the same kind of automation that I could already bring to my virtual infrastructure. So it's exciting to see 10 years on how that, which was kind of experimental at the time has now become really mainstream.

Rebecca Knight

>> As we wrap up, I'd love just your final thought. If you could fuse cast for a little bit, what is on tap for this year and what do you think we're going to be talking about at next year's Red Hat Summit?

Frances (Lashen) Guida

>> Next year's Red Hat Summit. I think we will still be talking about AI, but we will be talking about the people who are really driving business productivity using AI. So it will therefore a subset of customers, AI is going to move out of the experimental stage, the pilot stage into the production stage, and Red Hat's going to have somebody on stage hopefully working with HPE as well, that is going to talk about how they have really made a big impact on their bottom line because of some of the things that AI is going to bring to that business.

Rebecca Knight

>> Well, we're already looking forward to it. Thank you so much for coming on theCUBE. Frances.

Frances (Lashen) Guida

>> All right, thank you. Great to be here.

Rebecca Knight

>> I'm Rebecca Knight for Rob Strachay. Stay tuned for more of theCUBE's live coverage of the Red Hat Summit. You're watching theCUBE, the leader in enterprise tech news.