CEOInterviews.AI
Start App
Antonio Neri
Chief Executive Officer, President & Director, Hewlett Packard Enterprise Co

Keynote by Antonio Neri – Architecting AI starts with your network

📅 Jun 16, 2026 HPE 52 MIN 11 SEGMENTS · 3 SPEAKERS
AI is driving the largest infrastructure buildout in history, and the network is both its critical enabler and defining constraint. HPE ...

What Antonio Neri said

Written from the verified transcript and checked against it. Every figure links to the moment it was said.

Antonio Neri, CEO of HPE, delivered a keynote at HP Discover on June 16, 2026, arguing that architecting for AI starts with the network. He detailed HPE's expanded portfolio following the Juniper Networks acquisition, including new products like the QFX 5250 scale-up switch for AMD Helios, the QFX 5250 liquid-cooled scale-out switch, the PTX 12000 router, the SRX 4700 firewall, the MX 301 edge router, and the QFX 5140 inference switch. Neri announced Aruba CX switching coming to HPE Mist and Marvis actions to HPE Aruba Central. He discussed the agentic enterprise, introducing enhancements to Private Cloud AI with agentic governance, NVIDIA Open Shell and Nemo Cloud integration, and Zerto for rollback. He cited a 19 gigawatt US power gap by 2028 and highlighted partnerships with Vultr, NVIDIA, and Siemens Energy, plus customer examples like St. Jude and the Ryder Cup.

Key takeaways

  1. HPE is shipping the QFX 5250, a 100% direct liquid-cooled ultra Ethernet transport-ready switch for AI scale-out.
  2. The QFX 5250 scale-up switch connects 72 GPUs in a single rack with 260 TB/s aggregate bandwidth for AMD Helios.
  3. Private Cloud AI now scales to 256 GPUs and includes agentic governance with a three-tier identity model.
  4. HPE claims 7 to 12 times faster time to value with the MPX 1000 storage for Private Cloud AI.
  5. Neri cited a 19 gigawatt US power gap by 2028, enough for 16 million homes.

Numbers and commitments

FigureWhat it refers toTypeAt
260 terabytes per second Aggregate scale-up bandwidth of QFX 5250 switch metric 18:54
72 GPUs GPUs connected per rack by QFX 5250 scale-up switch metric 18:54
1.44 terabits per second Security performance of SRX 4700 firewall metric 18:54
16 terabytes per second Switching capacity of QFX 5140 inference switch metric 18:54
20th consecutive year HPE recognized as leader in Gartner Magic Quadrant for wired and wireless LAN metric 18:54
256 GPUs Maximum GPU scale for Private Cloud AI configurations metric 18:54
7 to 12 times Faster time to value with MPX 1000 for Private Cloud AI metric 18:54
19 gigawatt US power gap projected by 2028 metric 18:54
16 million homes Equivalent electricity to power for 19 GW gap metric 18:54
1/4 of the GPUs GPU reduction for AI training with Vera Rubin vs Blackwell metric 18:54

Chapters

  1. 0:00AI era and HPE's foundation
  2. 7:12Compute and storage innovations
  3. 13:32GreenLake intelligence and services
  4. 17:19Networking for AI data centers
  5. 18:54Self-driving networks and campus
  6. 47:03HP Labs and quantum computing

Questions asked in this interview

2
  1. 2:09Now, are you ready to discover what's next?
  2. 6:05You guys know we're talking about HPE's self-driving network, right?
Narrator 0:05 ↗
What does it mean to be an architect? An artist? A scientist? An engineer? A visionary who designs with intelligence, creativity, and precision in every angle. From the first inspiration to the first lines. From blueprints to breakthroughs. Today, we're in a new AI era where you can be an architect. We're here to make everything you can imagine possible with a foundation designed for what's next. It starts with your network. Intelligent, secure, and self-driving. Then cloud, hybrid by design with flexibility and control across your entire estate. And AI, transforming your business faster than ever. So, whether you're architecting AI for a data center, an intelligent enterprise, or a vision of tomorrow, you can build what's next and change the work, and dream. Opportunity is all around us, and you hold the key to what's possible. We're here to give you the intelligent, secure foundation to build upon, so you can unlock your boldest ambitions. Let us show you how.
Now, are you ready to discover what's next? Please, welcome to the stage HPE President and CEO, Antonio Neri.
Antonio Neri 2:35 ↗
Good morning. Wow. That's a big room. It is great to be here with you. HP Discover is where we showcase what is next and shine a light on the ambition and innovation shaping our industry and our lives. Today, we are witnessing one of the largest technology platform shifts in history. Workloads and applications are moving from being driven by end users, but now being driven by both end users and AI agents. Agents that will fundamentally transform how we design and build, how we serve our customers, and how we operate our businesses. I have always been drawn to how things work, how systems are built, and how they evolve over time. In fact, if I had not become an engineer and a CEO, I would have become an architect. Architecture like engineering teaches you to think in systems, to build for today and for the needs of tomorrow. You don't design a building around a single room. You design a structure that allows the whole system to flow and adapt over time. Architecting for AI demands the same focus and discipline. Fundamentally, AI is only as strong as the data foundation beneath it. If the foundation is not robust, nothing else holds. Across networking, cloud, and AI, HP is delivering the essential building blocks that make your AI-ready foundation possible. Networking to connect your infrastructure and workloads at scale. Cloud to enable you with a hybrid operating model to run your workloads and applications where they belong. And AI to turn your data into intelligence and put it to work. Architecting for AI starts with your network. For years, HP Aruba Networking has helped you deliver secure connectivity across campus, branch, and the edge, creating a digital on-ramp that connects your users, devices, and data. With the addition of Juniper Networks, we have extended that leadership into the data center and across the critical networks connecting the AI era. Scale up, scale out, and scale across. With our combined HP Networking organization, our goal is to deliver the best user and operator experience possible. We will do this through our next generation of secure, self-driving networks across every domain. They fix problems securely before they impact the experience. We make new rollouts faster and easier, and fundamentally transform how you manage your network. Whether you are on the HP Aruba Central or HP Mist, you get the full benefit of our accelerated innovation on both. Nobody is left behind on the road to self-driving. But the phrase self-driving may have caused some confusion with the Mercedes Formula 1 drivers. Let's take a look.
Unknown 6:05 ↗
So, we're seeing peak performance and this quite literally move to self-driving. Wait. What did they say? Self-what? Not just self-driving, self-optimizing, self-protecting, self-healing. This is the real deal. And everyone's cool with this? Yeah. Wait. We all good? I don't know. Are we? What is significant about they are talking about something? Here you are. Please, no more. You guys know we're talking about HPE's self-driving network, right? Good. Because it doesn't just assist. It runs itself. So, you two can do everything else even faster. Yeah, of course. Self-driving network. I wasn't worried. Not for a second. I wish we were self-healing. I'm only 19. I still am.
Antonio Neri 7:12 ↗
I had the opportunity to talk to both drivers this past weekend and they told me they had fun doing that video, but the reality is that they really are very, very keen and interested to understand technology. So, congratulations to the Mercedes team for a fantastic year so far. Every AI architecture needs more compute. In the AI era, your servers need to operate more efficiently than ever. With HPE ProLiant Gen12, you get the performance to run everything from enterprise workloads to inference in a much smaller, more efficient solution. As AI moves from generating content to taking action, the demands on compute are increasing. Agentic AI requires fast orchestration, continuous evaluation, and real-time access to data, which shifts more pressure to the host CPU. That is why we are expanding our ProLiant portfolio with the new HPE ProLiant Compute DL394 Gen12, powered by NVIDIA Beta CPUs. Beta provides the low latency memory access, bandwidth, and coherence required for agentic AI, reinforcement learning, and other CPU intensive workloads. It does so with the security and management you expect from ProLiant. As AI moves beyond the data center, compute needs to move with it. We recently expanded our ProLiant Edge portfolio, bringing secure AI-ready compute to rack and distributed environments, so that inference can happen closer to where decisions are made. AI also needs to reach the always-on systems at the core of digital business. With HPE NonStop, we are bringing AI-powered fraud detection and autonomous operations into high-volume payment processing. This helps financial institutions detect fraud faster, automate compliance monitoring, and keep transactions moving safely. The most advanced servers in the world are only as valuable as the data they can access, which makes storage a critical part of your AI foundation. The HPE Alletra Storage MPX 1000 makes your data accessible, context-rich, and ready to continuously feed your AI data pipelines. Across the full lifecycle from ingestion, training, inference, and continuous learning, the X1000 now supports native file and object storage on a single architecture. It is also the first object storage platform validated through NVIDIA certified storage for enterprise AI. And for the mission-critical applications that run your business, the Alletra Storage MP B1000 continues to deliver. The B1000 is the fastest-growing all-flash block storage array in the market. Sitting across the top of the stack, of course, is software. As AI advances, enterprise environments are becoming more distributed and complex. The spine, virtual machines, containers, AI infrastructure, and public and private clouds. At the same time, rising virtualization costs are pushing many of you to look for more flexibility and choice. With HPE Cloud Ops software, we have brought together HPE Morpheus, OpsRamp, Zerto, and a broader cloud portfolio capabilities into one unified operating experience. This enables you to modernize on your own terms while simplifying how you provision, observe, and protect your hybrid multi-vendor environments. Security and resilience must be built into every layer of the stack of your architecture. As AI changes the speed and the scale of cyber threats, new risks continue to emerge. Resilience is no longer just a set of isolated tools. It is a converged strategy across your systems, your data, and your network. With HP iLO Silicon Root of Trust, we provide secure attestation from the silicon to cloud, helping verify that your infrastructure is trusted before your workloads run. And with Zerto and Cyber Resilience Vault, we help protect your critical data so you can recover faster and minimize disruption. Networking and security are also converging. As AI becomes more distributed, the network often is the first place to see what is happening across your enterprise. With zero trust architectures and integrated SASE, the network becomes an active security layer, enforcing policy, detecting threats, and reducing risk from edge to cloud. We bring all the elements of your AI foundation together with our GreenLake cloud. GreenLake gives you a unified cloud-native experience across your entire hybrid estate with the flexibility to run workloads across public and private clouds, colos, and at the edge. With GreenLake intelligence, we bring intelligent AI to hybrid IT operations, helping you see across environments, act faster, and continuously optimize performance. From simplifying network operations to streamlining virtual machine migrations, GreenLake intelligence makes your infrastructure more adaptive, more autonomous, and easier to manage. So you can spend less time managing tech and more time managing and advancing your business. So, let's take a look.
Narrator 13:32 ↗
GreenLake intelligence is already inside HPE Aruba Central. So, when a major internal announcement is added to the calendar, you can ensure video call performance in advance. It runs on historical telemetry data and analysis. So, when you ask for recommendations, it highlights likely points of strain and prioritizes video call traffic to keep your team online and on camera. It's already in operations, so you aren't just getting alerts. Agents evaluate and correlate them in real time across infrastructure, cloud, applications, and operations because what's causing an issue isn't always where you see the symptom. GreenLake intelligence combines frontier AI models with operational context to reason across domains, correlating telemetry, dependencies, and signals across the stack, delivering clear, concise information, turning observation into understanding, identifying probable root cause, even when it exists elsewhere in the environment, and recommending or executing remediation. And GreenLake intelligence is already in the mesh of agents accelerating VM migration, pre-validating your plans, testing compatibility and capacity, network configuration, and storage access. Weeks of work completed in minutes. Green lighting moves that reduce expenses without costing you performance. This is GreenLake intelligence.

5 more exchanges in this transcript

Sign in free to read the rest of this interview. No card required.

Sign in to read the full transcript

Cite this transcript

APA, MLA, BibTeX
APA

Neri, A. (2026, June 16). Keynote by Antonio Neri – Architecting AI starts with your network [Interview transcript]. HPE. CEOInterviews.AI. https://ceointerviews.ai/interview/989567/

MLA

Antonio Neri. "Keynote by Antonio Neri – Architecting AI starts with your network." HPE, 16 Jun. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/989567/.

BibTeX
@misc{neri2026_989567,
  author       = {Antonio Neri},
  title        = {Keynote by Antonio Neri – Architecting AI starts with your network},
  howpublished = {Interview transcript, HPE. CEOInterviews.AI},
  year         = {2026},
  month        = {jun},
  url          = {https://ceointerviews.ai/interview/989567/},
  note         = {Speaker-attributed transcript with timestamps}
}