Hewlett Packard Enterprise Company (HPE) CEO Antonio Neri presents at Investor Relations Summit @ HPE Discover 2024 (Transcript)

Hewlett Packard Enterprise Company (NYSE:HPE) Investor Relations Summit @ HPE Discover 2024 June 18, 2024 12:00 PM ET Company Participants Daisy McAndrew – SphereAntonio Neri – President and CEOJim Jackson – Chief Marketing OfficerJensen Huang – Founder and CEO, NVIDIA Conference Call Participants Daisy McAndrew Hello and welcome to Hewlett Packard Enterprise Discover 2024 Las Vegas. I’m Daisy McAndrew coming to you from Sphere. We are only moments away from the first ever keynote address at this iconic location. HPE President and CEO, Antonio Neri will be taking to that stage in just a moment, but I’ve got time to get us a little bit of insider Intel, delighted to be joined as you can see by HPE Chief Marketing Officer, Jim Jackson. Jim, before we talk about content, let’s talk about this place. Why here? Jim Jackson Absolutely. First of all, hi, Daisy. Good to see you. We’re setting a new standard for brand storytelling this week, and we’ve got one heck of a story for our customers, and we needed a venue to match that moment. This place is incredible, it’s filling up, we’re going to have a sold out house. Daisy McAndrew It really is buzzing. All right, I’m hoping you can spill the beans a little bit for me, Jim. What can we expect to hear from Antonio? Jim Jackson Yes, I can’t give away all the details, but everyone is going to hear about bold new AI solutions that reduce complexity and help our enterprise customers accelerate the adoption of generative AI. So we’re excited about that. Antonio’s backstage, he’s excited, he’s ready to go, he’s going to take the stage shortly. He’s going to be joined by Jensen, who is the CEO of NVIDIA. They’re going to talk about our partnership, which is over a decade long, and how we’re co-developing new solutions for our customers. Daisy McAndrew Okay, we’ve got a lot to look forward to, not just here at Sphere, but the rest of Discover. What else is going on? Jim Jackson Yes, I mean, it continues. We’ve got two more days. We’ve got the biggest technology showcase that we’ve ever done. Seven acres, 285,000 square feet of technology that people can touch and feel. We’ve got over 400 demonstrations, hundreds of sessions where attendees can go deeper on our technology and trends, and then we’re going to have some fun, Daisy. And we’ve been working on this for months. We are beyond excited to do the first keynote in Sphere. I hope everybody enjoys the show. Daisy McAndrew I’m sure they will, but on that note, Jim, we haven’t got a lot of time, so I think it’s time that you and I went and found our seats before Antonio takes to that stage. Jim Jackson Let’s do it. Daisy McAndrew Ladies and gentlemen, up next, Antonio Neri. [Video played] Jim Jackson Please welcome HPE President and Chief Executive Officer, Antonio Neri. Antonio Neri Wow. Wasn’t that amazing? Welcome. What an amazing venue. Big moments require big views. Welcome to my living room. I hope you’re going to have an amazing experience here today. It is an honor to be with you at this Sphere and give the first ever, ever keynote in this space. Thank you for joining us today and for being part of the Hewlett Packard Enterprise community. At HPE, we believe intelligence has no limits and what a great representation in that video. When the human mind is in concert with AI, there is nothing we cannot achieve together. Since ancient times, human beings have had a thirst for knowledge, which has driven us to explore the world and push the boundaries of what is possible. Starting with Hewlett Packard Enterprise Company’s founding over 80 years ago, HP has been at the leading edge of innovation, empowering enterprises with inspiring tools to spark imagination and turn ideas into reality. Bill Hewlett and Dave Packard transformed the moving industry with the audio oscillator and accelerated finance and engineering with a groundbreaking HP calculator. And today, we are at the forefront of reshaping life sciences with the advent of Frontier, the world’s fastest supercomputer. HP has consistently provided the essential technologies that transform enterprises and entire industries. Everything we have accomplished has led us to this moment today. We are again leading a revolution on what we anticipated and adapted for the rapidly transforming HPE into an entirely new company. I stand before you, full of inspiration, as we arrive at the AI solutions that will accelerate the generative AI industrial revolution. Through breakthrough organic innovation, targeted acquisitions, and key visionary partners, we have propelled our edge-to-cloud innovation agenda forward and strengthened our edge-to-cloud journey now leading to AI. This morning, I will make bold announcements that bring us closer to the potential and promise of AI and catapult the enterprise of today and tomorrow to new heights. Let us begin with how HPE works with organizations of all sizes across industries to harness the AI as a force for good in order to change lives for the better. From renewable energy to helping solve food scarcity to drug discovery, HPE enables our customers to harness the power of AI as a driving force for good. For instance, HPE proudly offered its patented innovations and AI systems to accelerate the world’s response to the COVID pandemic. We provide a supercomputing software and application expertise, as well as our systems, to help research, [inaudible], run, and optimize essential applications for their research. HPE exists to advance the way people in the work, and AI accelerates our purpose in profound new ways. To be successful, we all must be purpose-driven, and we need AI that we can trust. That’s why in 2019, Hewlett-Packard Labs established five key AI ethics principles. The first is privacy. Second, AI must be human-focused. Third, AI must also be inclusive, ensuring access for everyone. Fourth, AI must be responsible. And last, AI must be robust and continuously quality-tested. At HPE, we are stewards of AI, upholding our principles with unwavering integrity. We are all deeply aware of the transformative power of AI, but AI is hard, it is complicated, and it comes even with full of risks. It is tempting to rush in with AI. No one wants to get left behind. Yet, innovation at any cost is very dangerous. Example of what can go wrong happen every day. We now question everything we see and hear, and cyber threats are everywhere. In fact, a recent HP survey of 2,500 IT leaders across industry found that 94% say that AI has increased their enterprise security risks. Following our AI ethics principles, Hewlett-Packard Labs is researching, developing, and deploying technology to help protect privacy and stop attacks. With enhanced security, our enterprise on-ramps to AI provide the guardrails to help ensure data sovereignty and brand protection. This empowers you to sense, learn, and react smartly so that you can turn inside interaction in an instant. HPE is a complete AI solution, partner for your enterprise regardless of the size. When we connect everything inside your enterprise with the right expertise from edge-to-cloud, business transformation happens and intelligence has no limits. It all starts with data. It is your most valuable asset. I have said for years that one day, data will be recorded in your balance sheet. And that day is coming. It’s coming really fast. When you can extract all the knowledge that lives in your data, we believe your enterprise can truly have no limits. HPE is a trailblazer in the world of technology. And we are there for you to serve as your trusted guide. For most of you, utilizing generative AI at the edge is a top priority. And that means training existing models and running inferencing at the edge to solve business problems like content generation to accelerate product design and optimization, and enhancing customer support experiences while reducing costs through conversational AI, using computer vision for quality assurance, security, and streamlining operations, and even to building virtual assistants to increase productivity. In fact, if you have a question for me, just ask my virtual avatar later today on the show floor. Live demonstrations of these examples are waiting for you in the HP Discovery Showcase alongside Smart Solutions for integrating inference and fine tuning with your own data across your enterprise and so much more. Whether you’re building a small or large language model, HPE has the immense AI compute power and speed to handle the massive amount of data and software needed to train and tune AI models. The Frontier supercomputers processing speed is so powerful. It will take every person on Earth combined, all of us, more than 40 years to do what it can do in just one second. That is X-Scale, a computing achievement equivalent to landing on the moon. Our supercomputers are marvels of engineering, serving as global leaders in performance and leading in sustainability. We have democratized these advancements, making them accessible to enterprises of all sizes. We are proud of our supercomputing leadership. Today, we have four of the top ten fastest supercomputers in the world, per the top 500 list. It is what positioned us to lead in the generative AI into the future. We have solved challenges previously thought impossible, and what we innovate for the world’s largest systems today, with the power of AI systems for your enterprise tomorrow, that’s the advantage that we have. As we look forward, the next generation of accelerated compute silicon will require more power density. AI systems generate a lot of heat and waste. HPE is at the forefront of applying the latest liquid technology in terms of cooling, and has more than two decades of experience. Today, HPE has seven of the top ten supercomputers on the green 500 list, in part due to our liquid cooling leadership. HPE has decades of experience in the design, manufacturing, and management of liquid cooled systems, including the data center infrastructure, to reliably deliver the highest level of compute performance. We also have hundreds of patents in the rare liquid cooling, because we are not just concerned with having the fastest or the most powerful for AI systems on earth. We are driving innovation that can see the impact on the planet for future generations. And when you stop listening to our planet, it talks back. It talks back to us. Oceans, glaciers, desert sands, and all the living things have stories to tell. These immersive sounds are what inspire the researchers at the Purdue University Center for Global Soundscapes. And for a good reason. By listening to our planet, we can discover things we cannot see. Our work at the Purdue University is an example of an AI infancy. We are helping the university preserve these stories by collecting, tagging, and applying AI to massive audio datasets so they can understand, we can all understand, the patterns and help preserve a beautiful planet for generations to come. To date, the Center for Global Soundscapes has had 6 million pieces of quality data from 600 different places in the world, over 1.2 petabytes of data using HP infrastructure, software, and services. Carnegie Clean Energy is a great example of a training use case. It relies on HP’s AI expertise and AI systems at the Pawsey Supercomputing Research Center in Australia to design AI-powered buoys that generate electricity using the ocean’s waves. By using reinforcement, AI learning to adjust the rhythm and the size of oncoming waves, continuously optimizing the energy production, which has proven to be a very exciting, sustainable solution. These examples are a small sample of sets that we have in the vast potential for AI inference, training and tuning, which demonstrates the power of a unique strategy, which is only possible when the connectivity and the data aggregation work as a one with accelerated computing. HP is using AI to change lives for better. The next story hits close to home for many of us. In 2020, over 55 million people were affected by dementia around the world. Sadly, this number doubles every 20 years. And it is predicted to reach 78 million in 2030. But there is hope. A groundbreaking study by DZNE, a leading research institution initially focusing on German patients with dementia, has now expanded globally. Swarm learning is an AI technique developed by HPE and is designed to keep AI training results private, but enables hospital research institutions to keep their patient data secure, while privately sharing the learnings, the insights with other teams around the world. Swarm learning is a revolutionary shift from sharing AI training learnings and insights without sharing an individual private data. Whether it’s from Osaka to Oakland and Helsinki to Cambridge, MIT and Stanford, swarm learning is leveraged in the memory-centric computing of HPE’s AI systems to accelerate early detection, prevention and ultimately the cure of dementia and other devastating diseases. That is why this DZNE established a swarm learning center to bring together the biggest minds around the world to combat dementia. This is AI at scale working across borders and institutions to build a better future for all. But no one can do it alone. Collaboration is a must and at HPE we have the means to connect the world. Today the aviation industry is accelerating its focus on reducing its overall carbon footprint. GE Aerospace is at the forefront of this effort. It is leveraging our supercomputing technology to create an AI digital twin to design a revolutionary new efficient engine. Leveraging Frontier’s ability to process billions of operations per second. GE was able to simulate engine air movement with an incredible detail. Let’s take a look. [Video played ] Albert Einstein once said, creativity is intelligence having fun. It is obvious that GE Aerospace is having a lot of fun exploring the future of flight with our innovations. As I have shown you where inside lives, HPE is there with the right AI strategy. Bring in excellence in engineering, delivery, support, as well as creating smart and IT life cycles, we are your trusted partner in AI. Quality is woven in our culture. Innovation is baked in our DNA. Our track record proves it. There are millions of illustrations of this, from enabling interconnected retail at massive scale at the hot depot here in the United States, decarbonizing the world through more sustainable IT at Danfoss with our HP Grille Cloud Platform, or enabling Carestream Health to use machine learning to reduce training times by 73% and detect tumors earlier to help save life. HPE helps ensure enterprises of all sizes drive innovation with the power of AI. I spoke earlier about the innovation that HPE has brought to life throughout our storied history. As we accelerate into the generative AI era, even greater innovation will be required to empower your success and it is HPE and our community of partners who will bring that to you. AI will require hybrid cloud. But AI is not one single thing or a monolithic workload. To deploy AI, you must orchestrate hundreds of microservices, multiple AI models, specific accelerators, and connect many different data sources, all of which are highly distributed across your hybrid IT state. That is why you need a hybrid strategy. At the same time, you must maintain data governance, regulatory compliance, and security end-to-end, making on-premise private clouds essential to your hybrid mix. As I mentioned earlier, AI also requires a data-first approach. And when it comes to your data, speed matters. According to IDC, 50% of executives say that their data loses value within hours, and only 7% of IT leaders say they can access real-time data. If you don’t have your data at the source, then you cannot get it fast enough to use it. Generative AI is a distributed workload. Connecting all your data is essential, which means you require a strong networking foundation from edge-to-cloud. Unlike other providers with silo solutions, HPE provides a leading modern and also AI-driven networking fabric. Today, our HPE Aruba Networking portfolio enables customers to deploy modern AI-driven networking. From Walt Disney World Resorts here in North America to Engel and Volkers, Tencent, and Bank Colombia, leading organizations across the world rely on us to connect their businesses with security-first AI-powered networking. And we cannot forget our HPE Aruba Networking customer community, who we call affectionately Airheads. It is 210,000 members around the world that share information and inspire each other with their ideas. Let’s give them a warm welcome here to HP Discover, which is the first time. Thank you for being here today. Many of you are familiar with Land O’Lakes, one of America’s leading agriculture and food cooperatives. Land O’Lakes has a big dream to connect a dairy and co-op locations to reliable broadband. They turn to HP Aruba Networking for a solution that will provide more secure, indoor and actually outdoor wireless connectivity and support mobility for people, devices and machines. By using our intelligent solution in its dairy, manufacturing and processing plant, Land O’Lakes has greatly improved what we call pick, pack and ship operations efficiency. But it didn’t stop there. Land O’Lakes wanted to bridge the gap between technology and its farm operations, bringing Wi Fi to rural communities that lacked access. HPE Aruba Networking went above and beyond to address the digital divide, empowering farmers with applications that could help them in the daily operations, but also in their personal lives. Now, by gathering more secure data from silos to soil, Land O’Lakes can utilize AI to anticipate crop yields. The data is protected and belongs solely to the farmers in the field. Together, we are laying the foundation for AI, revolutionizing the agricultural industry and empowering farmers with the data and innovation they need to thrive. In manufacturing, quality assurance and latency matter. HPE plays cameras at five different angles or rail metrics assembly lines. The camera feeds images into a series of neural networks where patterns are recognized and the computer actually decides to pass or fail in the moment. They went from 21 seconds down to one second, which is a 2,000% improvement. I think that’s the power of processing data in real time at the source. That’s about as real time as it gets. Early this year, we announced our intent to acquire Juniper Networks. Deal is expected to close at the end of this calendar year or early next year. We expect to harness the combined capabilities of both companies to create an industry leader with a modern, more secure, and AI driven networking portfolio. This will complement overall business strategy to accelerate the deployment and adoption for both hybrid cloud and AI. And what that means? It means for enterprises managing, simplifying complex network architectures and extending into new areas such as Private 5G for environments where you need persistent dense connectivity. And for service providers we expect they will see improvements in automation and orchestration of virtualized network functions to scale their infrastructure, reduce costs and accelerate the speed of delivery for new services to customers. To train your AI model you will require the right accelerated computing and storage infrastructure. HPE is the leader in accelerated computing from edge to edge scale. And together with our partners we will continue to engineer high performing and sustainable AI systems. We continue to expand our HPE ProLiant and HPE Cray AI service portfolio to support the latest silicon innovations that will demand direct liquid cooling. We will be time to market with our key partners. AI also require a modern approach to store and protect your data. Our new HPE Alletra storage MP platform provides high performance for data intensive workloads with highly efficient data reduction. HPE Alletra storage allows you to scale up and down independently to optimize your individual workload requirements and now extends data replication to the public cloud with the software defined storage capabilities. Building an intelligent data foundation will be the key to your data driven business transformation. The latest release of our HPE GreenLake File Storage is specifically designed to meet the demands of our structured data for AI as well as our recently announced HPE GreenLake block storage for AWS, a solution that helps you seamlessly manage block storage across your hybrid cloud environments. That is what makes HPE a leader in hybrid cloud storage and your trusted partner to advance AI. BMW is a great example of a customer that is taking full advantage of our unique innovation. The premium car company brings together the future of mobility, electrification, and sustainability. Together, we embarked on a history-making collaboration that unified vehicle trace from the global BMW test fleet. This enables a series of initiatives, including automated mass data analysis, an essential part of the vehicle development process. Having a solid data foundation is a critical step to accelerate the deployment of AI. Let us take a ride into the future of mobility. [Video played] Isn’t that amazing? What an incredible look at the driving experience that outweighed all of us. But listen, we have not stopped driving innovation just on Earth. We are out in space too. As an example of the most extreme of edge inferencing, a new chapter has unfolded with our HPE Spaceborne program. As we sit here today, HPE Spaceborne is orbiting more than 250 miles above us, enabling astronauts to process data in real time as they collected in the ISS International Space Station. Why? Because they are conducting research in space. In 1969, HP’s technology helped support the Apollo mission, land the first US astronauts on the moon. I’m personally very proud that HP will partner with Venturi Astrolab and its Flex Rover program on the upcoming Artemis mission to bring edge computing and AI capabilities to the moon. Working together, we are building a logistics network that will help move supplies and collect data so that we can learn up in space will benefit us all down on Earth. A very special thank you goes to our partner, Kioxia, for joining us on the journey to the moon. So thank you very much. But this all leads us to the most important component, which I believe is our people. HP has a dedicated team of experts, including our partner ecosystem, who are committed to supporting you throughout your AI and hybrid cloud journey. Expertise has always mattered. You need a partner who understands your business, who has the right technological solutions, and who can help you create investment capacity so you can pursue your business objectives. Together, we are one HPE, building a bridge to the future with you. With our unique innovation and expertise, we make it impossible possible. HP is your trusted partner in AI. We stand ready to help you make history, too. We are not just witnessing the future. We are shaping it with AI. For more than a decade, NVIDIA has been our visionary partner who share our purpose and commitment to innovation. Over the years, HPE has partnered with NVIDIA to achieve amazing success with our customers in delivering best-in-class AI and supercomputing solutions. One great example of that is the newest Venado supercomputer at the Los Alamos National Laboratory, which is the first U.S. supercomputer to feature the NVIDIA Grace Hopper GPUs. Another example is our recently signed $200 million deal to build a new supercomputer for one of Japan’s largest research institutions, AIST, which we will build in collaboration with NVIDIA using our HPE Cray XD systems, featuring NVIDIA H200 Tensor Core GPUs. At the end of last year, we jointly announced two new innovations. First, we introduced our turnkey generative AI training solution built on NVIDIA HGX reference architecture designed to train and tune generative AI for large enterprises. And second, we announced our co-engineered pre-configured generative AI solutions specifically for enterprises to quickly fine-tune foundation models using private data that can be deployed anywhere. HPE and NVIDIA have a proven track record for delivering innovation. Today, we are taking a partnership further. It is with great excitement that we announced NVIDIA AI Computing by HPE to accelerate the generative AI industrial revolution. And here to tell us more, I am very pleased to welcome out a man and a friend who needs no introduction, the Founder and CEO of NVIDIA, a driving force of innovation that’s changing the world, Jensen Huang. Jensen Huang Did somebody say partner? Antonio Neri Yes, look at this. Jensen Huang Hey, everybody. Hey, HP. Go, NVIDIA. Antonio Neri Isn’t this amazing, Jensen? Jensen Huang Yes, it’s great. Nice living room. Did you say living room? Antonio Neri It’s a living room. My personal living room. Jensen Huang Okay. I like it. Antonio Neri We might play something later. Okay. More interesting. But listen. All day long, you got all these people staring at you. That’s a good way to live. I couldn’t believe. I mean, listen, we have people, kind of stuck at the bridge, right. And they were telling me, we need to wait another five minutes or so. I said, okay, let’s wait. We want the house full. Look, it’s full. In fact, there were supposed to be not a lot of people on the side because that kind of is not the best view. But boy, we have every seat pretty much taken is amazing. Jensen Huang Well, they’re here to see you. Yes, you guys doing a great job. Antonio Neri Yes, thank you. Thank you for being here. It means a lot to us but honestly, it means a lot to them our customers and partners. Listen, we just announced the NVIDIA computing by HPE and obviously our focus is to capitalize this amazing opportunity, which is AI but let’s talk a little bit about what it means for enterprises. What is for them at the end of the day? Jensen Huang Well, when you take a step back, AI, generative AI what’s going on in the industry today hasn’t happened in 60 years. This is the greatest fundamental computing platform transformation in 60 years from general purpose computing to accelerated computing, from processing on CPUs to processing on CPUs plus GPUs, from instructions, engineered instructions to now large language models that are trained on data. From instruction driven computing to now intention driven computing. Every single layer of the computing stack has been transformed as we exactly know very deeply well and the type of applications that are now possible to write and develop are completely new and the way you develop the application is completely new. And so every single layer of the computing stack is going through our transition. And that’s why from an industrial perspective is such a big deal. On the other hand, what’s really amazing is a whole new industry has emerged. What used to be the IT industry and we’ve seen the creation of a $3 trillion industry which is really driven by the last industrial revolution where we invented the idea as an industry of mass producing software. Software is invisible. You can copy as many versions as you like. And yet we’ve created a $3 trillion industry on that idea. Now we have a new idea. And this new idea is quite extraordinary in the sense that what is being manufactured is still invisible, but it’s embedded with intelligence. We call it tokens. And so what is really extraordinary is the IT industry and the work that we’re doing together, on the one hand, can address enterprise computing, GPU clouds, sovereign AI, but now we also have this new industry that’s emerged called AI factories, where we’re producing intelligence in high volume. And so our industry has been transparent really, really profoundly, and we’re at the beginning of that. Antonio Neri But Jensen, I mean, two years ago, we were not talking about this, but you and I have many conversations over the years, and you have this amazing conviction that is a better way. And it’s not just about technology, it’s about transforming the business. And I think the power of this AI revolution, that’s why we call it the generative AI industrial revolution, as you just talked about it, is transform the business, it transforms society. So when you put yourself in their shoes as a customer, what they need to think through to be successful as an enterprise? What are the key ingredients they need to think about it? Jensen Huang Well, theoretically, what AI needs are three components. Of course, the model, the revolutionary large language model and generative AI models. Second, computing to go process that, but very importantly, something that all of the enterprises in the world possess, it’s, and I heard you say it earlier, and it’s completely true, they’re most important asset. They’re for companies, it’s your most important asset. For countries and different regions, it’s your natural resource. You need these three things. You need model technology, you need data, and you need compute. However, that’s on a theoretical basis. What you need on a practical basis is you need a model stack, you need a data stack, and you need a computing stack. Each one of those stacks are incredibly complicated. And so the work that we’ve done together is really about productizing and on a really massive and comprehensive way that our partnership is working together so that we could productize the model, we call them NVIDIA NIMS, and the model stack. The data stack, which comes from NVIDIA AI Enterprise and the data processing, the vectorizing of your data, semantic embeddings, the retrieval, and the deployment, we call that NVIDIA AI Enterprise, and the entire computing stack, which has all of the software that goes along with supercomputing technology, and one of the reasons why this is built in the clouds today because the stack is so complicated. Between our two companies, we’ve really turned these three stacks into deployable solutions that you can engage right away. Antonio Neri So, the NVIDIA AI computed by HP offerings and services, one of the key elements, it will be available through our joint go-to-market strategy that really spans the sales, the channel, so here you have 1,500 of the most important channel and partner ecosystems as well, and we will provide training there, obviously, but also today, so you know, we’re making an announcement that Deloitte, HCL, Infosys, TCS, and Wipro are coming along our journey, and that’s really significant because at the core of this, they also need to transform the business, and obviously there is a variety [inaudible], and so when I think about that, first is training and certification, so together with Jensen and his team, we’re going to train the entire HPE salesforce. We’re going to show up in front of you as a one company, and when I think about that, there’s thousands and thousands of people just on the specialization side as well as on the pre-sale side, which is a huge important role, and listen, when you engage HP, you’re going to be working with AI experts that have the skill to help you design together with our partner ecosystem, deploy and operate these amazing generative AI solutions. Together, we are making significant investments. to train you as well and the services that you need across the life cycle to turn this NVIDIA computing initiative a reality. So where do you have skill gaps? We have the experts to help you, ready to support. Second, we also working with Jensen and his team to develop multi-levels of comprehensive and optimized solutions to deliver that amazing innovation and obviously Jensen you are on the forefront to keep announcing these amazing architectures obviously we are now intro the H family but the Grace Hopper and now soon Blackwell and the other ones you know Rubin and the like. So that’s super important but also the same time we also need to think about managing the life cycle of this solution. That’s why HP has unique differentiation with HP financial services because ultimately as the systems come to end to life, we can find the right smarter IT lifecycle solutions so that we can help you create the capacity to invest in this amazing innovation, but also make sure we find the right use when the asset comes out of your environment. So, Jensen, this is amazing because I’m super excited about this joint go-to-market, but can you please elaborate these three elements we talked about, right. Because ultimately this ends up on an integrated co engineered solution we’re going to announce today, so. Jensen Huang Yes, these three stacks are incredibly complicated. First of all, you’re sitting on a mountain of really valuable data. You want to fine-tune your proprietary model. We have a large collection of publics, proprietary, and partnership models that we’ve created, and we take this entire complicated stack and we turn them into NVIDIA inference microservices, basically a model stack. This model stack is essentially an API. It’s kind of like a chatbot, except we’ve integrated everything and made everything work, and it’s now in essentially a giant container of hundreds of dependencies, incredible amounts of technology, but easy for you to use. You download it, you could fine-tune it, guardrail it, you can deploy it, and that microservice is now one of the stacks. The second stack that you have is your data stack. This data stack, you want to vectorize, bring semantic meaning to it, and so we have technologies for helping you do that, we call NeMo. You could then take this data stack and connect it to your model stack. This way, your model stack becomes an intelligent AI that can interact with, chat with, retrieve information from your company’s private data. And then the third thing is, of course, the entire computing stack. Between us and HP, we will turn you into a world-class AI cloud, a world-class AI company. And then, of course, those three ingredients are fundamental to AI, but ultimately, you also need the expertise, the domain expertise, and this is where this network of partners connecting with all of this technology with a giant go-to-market, we can now bring AI to the world’s enterprises for the very first time. This is a massive partnership and a really comprehensive solution that we can take to the market, so it’s a very big deal today. Antonio Neri And we appreciate the vote of trust and confidence in us because for us, obviously a partner with the best has always been one of our key objectives, but you talk about these three major elements, I call it, and while others have talked about integrating these AI solutions, at HP, we wanted to create something truly unique with you. And so we did not just bring together the pieces, I always like to talk about widgets or door knobs in the back, that’s very complex for you. That’s not how it works. If you want to accelerate this generative AI solution, we have to deliver you an experience. And so that’s why together with NVIDIA and their amazing portfolio of software and obviously silicon, the networking components, we are bringing all this together with the HP systems, HP services, the ability to manufacture and service this. I think people forget that, because once we go to direct liquid cooling and Jensen and I were talking early on, you need to have a water-cooled manufacturer capability, and HP has one of the largest water-cooled manufacturer capabilities on the planet. On the planet, why? Because we have to do it for supercomputers, right. And so now we bring it all together, we democratize with all the things you talk about, and that’s why today it is a pleasure to introduce what we call the first of a kind, turnkey private cloud AI solution, [Cardovello] with NVIDIA. We call it HP Private Cloud AI. And this solution provides the deepest integration and this is very important is the deepest integration to date of NVIDIA AI computing networking and software with HPE storage and obviously our servers and the HPE GreenLake cloud because ultimately you have to deliver that experience as a cloud experience right unlike any other AI solution out there who are services led meeting in front of the customer bring it together, we deliver this as a one integrated product and it’s ready to run out to the box because that’s the key. When I say turnkey, I mean the simplest experience today for deploying and operating the AI NVIDIA software stack in the industry. So how this work Jensen? Because you and I went through it right. There’s a plug it in, few clicks, three clicks. Jensen Huang Three clicks. All it takes three clicks. Well, the thing that’s really amazing is you say it works right out of the box. Inside that box are CPUs, NVIDIA Gray CPUs, NVIDIA GPUs, networking, NVLink switches, either InfiniBand or Ethernet or AI switches, and all of that technology with all of that software all integrated, number one. Number two, we’ve made it so that you could have small, medium, large, extra-large. And as you know, the more you buy, the more you save. And so everybody buys more. Antonio Neri In fact, you need few of them. Jensen Huang The more you buy, the more you save. And so you want the extra-large version, but you can start anywhere. And this is really the big deal, that we’ve integrated everything into a really easy-to-use, private cloud, AI solution. And all of the complexity that goes into all the technology has been provided to you, hidden from you, and it’s helping you operate it over time. Remember, you’re not buying a computer that you’re using, you’re buying a service, and you can own a service that you can operate. And so that’s a very, very big deal. Antonio Neri I’m excited because obviously he is a million times better engineer as I am. But when I think about technology, it’s always about the experience, right? So that’s why the HP Private Cloud includes comprehensive multi-layer control from both HPE and NVIDIA, right. Because we have to deliver this through our cloud experience. And also the most secure sensitive data models, which includes, by the way, built-in AI data compliance and explainability. That’s very important. You want to know from where these models are coming from. Automated AI pipelines with complete lineage, traceability, and auditability for the entire AI lifecycle. This is one of the things enterprises are worried about, how this thing works, where the models are coming from, how to track the data. A single dashboard, think about that, a single dashboard to monitor all your AI applications and services. By the way, it supports multi-tenant collaboration with unified role-based access control to isolate data and approaches across different teams. It is, as Jensen said, all built in. And at the launch, as we just kind of hinted to you, HP Private Cloud AI will be available in four configurations. We are in the United States, so we need to have four. Not small, medium. We need to go a little bit large, but four small, medium, large, and extra- large. And you can see here, each one of them is flexible, is modular, has the ability to expand our capacity over time but maintain that consistent cloud managed experience with the HP GreenLake Cloud. Many of you are already HP GreenLake customers here whether using it for deploying an access point or a storage array or a server or a switch, now you can do the same with this Private Cloud solution. Listen, some customers are going to start small, maybe to try, but also do some inferencing. But also, as the use cases multiply, you need all the things like RAG and to fine tune into one solution. I think we are going to offer the most comprehensive solution on the planet because also we can offer it as a self-managed or as a managed services as a part of HP GreenLake. And at the same time, you maintain the consistent operating model which, by the way, is ready to adopt whatever you come up with, which I know you have a lot coming up with, which means it’s ready to adopt the latest technologies that Jensen and the team are coming through. So this is, in my mind, is a big deal. So when you think about that, Jensen, and think about the next generation which obviously will support Grace Hopper 200. as well as the network. What do you think the enterprises will be looking next once they have the simplicity? It’s all about understanding the use cases and getting it that factory mode to deploy. I think that’s what we’re trying to do here. Jensen Huang Yes, it’s a really big deal for enterprise today. Look, the fact of the matter is we’re sitting on a mountain of data. All of us are sitting on a mountain of data. We’ve been collecting it in our businesses for a long time. Until now, we really haven’t had the ability to refine that data, discover insight, and codify it automatically into our company’s digital experience, our digital intelligence. Every company is going to be an intelligence manufacturer. Every company is built fundamentally on domain-specific intelligence. For the very first time, we can now digitize that intelligence and turn it into our AI, the corporate AI. The thing that’s really profound here is that you could start anywhere, small, medium, large, extra-large. They’re architecturally completely compatible. And so if you change your mind and you want to do more, everything that you’ve built yesterday is going to run seamlessly across the larger systems. And when we go to the next generation system, everything will be CUDA compatible. This is one of the great disciplines of our company by putting everything on top of CUDA, this revolutionary invention that we made 20 years ago, and having the discipline to maintain CUDA compatibility over all these years, some 15 generations now, we can make it possible for all of our customers to invest at any point, at any scale, and carry that investment forward. Now once you do so, remember what AI is — AI is a, and you mentioned life cycle, it’s a life cycle that lives forever. The thing that we are looking to do in all of our companies is to turn our corporate intelligence into digital intelligence. And once we do that, we connect our data and our AI flywheel so that we collect more data, harvest more insight, create better intelligence, which allows us to provide better services or create, be more productive inside the company, run faster, do things more efficiently, do it at a larger scale, and very importantly, create new products. And so all of that is possible because of the things that we’re doing today. Antonio Neri The net of all of this to me is that you’ve got to embrace this technology. We understand people have been a little bit wait and see, it wasn’t easy for them to embrace it, but with today’s announcement, we are making it really easy for you. It’s just a rack, or maybe two racks you can deploy with everything you need fully integrated. And to me, that’s super exciting because we give you the tools to accelerate your journey to transform your business. But today is not just that. We talk about NVIDIA computing by HPE, we talk about the announcement of HP Private Cloud AI, but also today, HP is committed that we will be time to market with NVIDIA Blackwall and Rubin GPU architectures in addition to all the software that Jensen and team will continue to bring to market. So as you adopt this one operating model inside GreenLake, it comes with it, right. Very simple. It will be the leading integrator of the most advanced AI systems at any scales in a sustainable way, which is something we both care about because I argue the sooner you adopt this accelerated computing, the more efficient and more sustainable you will, because you eliminate all the waste. Jensen Huang Liquid cooling results in higher performance, but also lower infrastructure cost. The overhead of all of the liquid to air, air to liquid, all of that is now gone, liquid to liquid. And so the future of liquid cooling is going to result in everything from better performance, lower infrastructure costs and lower operating costs. Yes, really. Antonio Neri And HP is uniquely positioned to deliver direct liquid cooling. So that’s why. Jensen Huang Nobody has plumbed more liquid than Antonio. Antonio Neri So there you go. And by the way, you need to come see our factory. So you see how good we are on that one, but listen, HP delivers 100% liquid cooling, including the CPU and the GPUs and the fabric. I don’t think people understand that the fabric today is also liquid cool. Jensen Huang Yes. Antonio Neri They think about a switch there with a bunch of ethernet ports. Actually it’s not. You also run direct liquid cooling to the fabric. And listen, we hold numerous, hundreds of patents in the — in this particular part of the portfolio. And listen, we have the expertise to build these large systems of scale as a show early on. But also, we are really proud to bring this innovation for you together with Jensen. And I think our combined portfolio can achieve amazing results and by the way do it in a circular economy because we can actually capture 100% of the heat that gets wasted and we have some amazing use cases, we take actually the heat, Jensen, in some areas and we either power greenhouses in the winter, or also power heating systems in buildings, so they don’t waste other things. So listen Jensen, no, we can spend here the whole day but to wrap us up what is the key takeaway you want the audience here in an amazing living room that of this partnership. Jensen Huang Well, one, the era of generative AI is here, you must engage the single most consequential technology in history. You must translate and codify your company’s intelligence into digital intelligence and you must find a way as quickly as possible to turn that flywheel of your company’s experience into your company’s AI as quickly as possible. That’s number one. Number two, our partnership with HP is about simplifying all of this incredibly complicated technology in three stacks, the data stack, the model stack, the computing stack, turn it into this private cloud so that you could operate it, or you could get the benefit from it, with all of that complexity being extracted from you so that we could help you apply all this great technology in service of you. And then lastly, this giant go-to-market. Antonio Neri Exactly. Jensen Huang This giant go-to-market, people. Antonio Neri As people partner. Jensen Huang Yes, this network of ecosystem of partners and service providers, and we’re going to, because of this, make it possible for the first time to bring generative AI to every single company in the world. Thank you. Antonio Neri Now, Jensen and I are going to be on the show floor later. Not demonstrated because we don’t have time, but going through the demos, which are amazing. We have an amazing show floor. Please go there. But listen, what Jensen and I do is in service to you, our customers. When we connect the power of our joint innovation, the expertise and the greatness of our partnership with NVIDIA to your enterprise, intelligence has no limits, right. So thank you, Jensen, for inspiring us. It’s great to have him here, an amazing innovator, force for change in the world. And for me, it’s a pleasure and honor always to learn from you. Thank you very much. Jensen Huang Thank you, Antonio. Go HP. Go NVIDIA, All right, you guys, we’re on your team. Antonio Neri So again, at the center of what we are developing with NVIDIA is the most simple experience to advance AI. That’s what it’s all about for you. We deliver the experience through our HP GreenLake cloud and it sets HPE apart from all others. HPE GreenLake is the leader in hybrid cloud. One of the crown jewels of HPE GreenLake is our acquisition of OpsRamp, which we have now fully integrated into our cloud platform. It provides full observability for multi-vendor environments, including some of the other vendors like Cisco, Dell, NetApp, Pure, and many, many others, as well as your public cloud instances. And today, we announce three major updates from OpsRamp. The first one, OpsRamp now supports full-stack AI infrastructure to workload observability. So Jensen and I just talked about it. That means you can observe now this private cloud AI solution, which includes NVIDIA GPUs, AI clusters, NVIDIA DGX systems, NVIDIA Mellanox InfiniBand, and Spectrum-X Internet switches. Second, we introduced an AI Ops Copilot, an AI Operations Copilot feature. It is actually a natural language interface that enables enterprises to identify, predict, and solve IT problems more quickly by converting machine learning data into actual insights. The Operations AI Assistant combines the observability signal from specific AI models developed by OpsRamp with a generative AI Conversational Assistant to digest large datasets and provide insights in real time. And finally, to provide more security observability across your workloads, we announced a new integration with CrowdStrike APIs so customers can see a unified service map view of endpoint securities across the entire hybrid IT, infrastructure, and applications. As you can see, we are not just keeping pace with the future of AI operations. We are leading the industry. And then there is the data. We just talked with Jensen about that, right. So you need to protect that data. And so our acquisition of Zerto provides edge-to-cloud disaster recovery and cyber resilience. Another aspect of our HP GreenLake differentiation is also our cloud-native approach, providing you with flexibility and choice of runtime environments, including bare metal, containers, and virtualization. And today, we announce a new HPE developed virtualization capability for our private cloud portfolio. What is it? It combines an industry-standard KVM hypervisor that has been hardened for enterprise with HPE’s innovative cluster orchestration software to support the high performance and availability requirements of enterprise workloads. And it complements the HPE Ezmeral Software Container Service and extends to cloud-native and AI workloads. The adoption of HPE GreenLake is accelerating. Today, HPE GreenLake connects more than 4 million network devices and a lot of storage and compute systems, supporting more than 34,000 unique customer organizations to transform their business. Just look at what HPE GreenLake is doing for the Harry Reid International Airport right here in Las Vegas as you came through. It is powering a future-ready, more secure infrastructure to meet the evolving Wi Fi needs of the millions and millions of travelers who must stay connected. And when it comes to world-class sports teams and sports venues, HPE GreenLake is in a league of its own. We are fanatical about optimizing sport experiences and deepening connections between the fans and the teams they love. In Rome, the 2023 Ryder Cup leveraged the power of HPE GreenLake to deliver an exceptional fun experience to more than 250,000 spectators over that weekend. The world-class golf course was transformed into a smart city, a super smart city, bringing unrivaled, secure connectivity to fans so they can follow the dramatic moments at every hole, for sure, for the United States players. It didn’t work well. But for Tottenham Hotspur, HPE GreenLake, and our networking infrastructure, enables the Premier League club to deliver an amazing, differentiator fun experience and generate, at the same time, greater revenue by using data. Technology is an integral to growth, innovation, and global expansion of sports organization as well. And our demonstrated leadership in this space caught the attention of a very iconic football team. Just last week I announced that HP signed a partnership agreement to become the new official edge-to-cloud partner of Espai Barça. HP will provide state-of-the-art technology for Espai Barça, the team’s completed renovated stadium, which is in progress, which is called the Spotify Camp now, and the new Espai Barça Mega Complex, which is the largest and most innovative sports and entertainment space in any European city, a truly spectacular venue. Powering and re-imagining a fan experience is HP GreenLake Cloud, HP Aruba Networking, and our hybrid cloud solutions, and in the future, they will be also deploying AI. These are cutting edge innovation that will take the much operations during the day to a whole new level and create an immersive experience that will leave visitors in awe. Let us take a look at how we supercharge the fan experience of many with HP GreenLake. Let’s play the video. [Video played] So today you have heard many amazing stories for customer success like this, but HPE doesn’t do it alone. Our industry leading partner ecosystem stand with us, and they build their business strategies around our innovation. Many of those partners have generous sponsor this week, including Emerald Level Sponsors, NVIDIA, Intel, Kioxia, and Microsoft. I will also like to thank our platinum sponsors, AMD, AWS, Red Hat, Samsung Semiconductor, and SK Hynix. We appreciate each of you for your partnership in making HPE Discover a reality. But also want to thank my team. Listen, being here at this amazing venue, takes an enormous amount of planning. And obviously, I’m incredible privileged to be here in front of you. And special thanks to Jim Jackson, our Chief Marketing Officer who architected this is incredible. And all the teams from the communications team to the business units to put me in this position to speak to you. Listen, partnerships and connections are the lifeblood of all endeavors. HPE ignites and propels your interconnected journey. In this week ahead, you will find everything you’re looking for to make that journey. Leverage your time here and talk with our experts. Bring us your biggest, boldest ambition, and we will bring it to life. As we stand on the cusp of an AI revolution, our ambition knows no bounds. It drives us to reach for the stars, to solve the unsolvable, and to transform ideas into reality. But ambition alone is not enough. It requires a catalyst, a force to amplify and accelerate it forward. Technology is that catalyst serving as the bridge between aspiration and achievement. For more than 80 years, HP has been at the forefront of innovation. And today, our more than 60,000 team members around the world are laser focused on helping you realize your biggest dreams. Let us embrace this amazing technology, not just as a tool, but as a force that unlocks our human ambition. Thank you very much. Enjoy the rest of the week. It has been an amazing privilege to be with you today. Question-and-Answer Session Operator [Operator Instructions]

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