HPE expands AI infrastructure portfolio with Nvidia to power autonomous agents at enterprise scale

HPE spruces up its AI infrastructure portfolio for agentic workloads

IT giant sprinkles updates across its AI Datacenter line-up, including Juniper Networking features HPE is one of the vendors raking in bushels of cash from AI hardware, so there will be little surprise that its latest showcase comprises updates to its AI Datacenter infrastructure portfolio, now infused with technology from its Juniper networking acquisition. The IT systems and services giant will use its Discover event in Las Vegas to tell everyone how important it thinks agentic AI is going to be, and how organizations will need to have the right infrastructure to be ready for AI agents - a need it intends to meet, of course. Ahead of the event, HPE told The Reg it now has a range of AI infrastructure options, covering turnkey, sovereign and large scale deployment models, including Private Cloud AI, AI Factory at-scale and Sovereign AI Factory. "What we're looking at within HPE is to really help our customers with their transformation to an agentic AI infrastructure, and we're happy to announce that we have made significant progress around our AI factory portfolio," said EVP and CTO Fidelma Russo. Private Cloud AI, the turnkey platform co-engineered with Nvidia, gains the latter's Nemotron models, NemoClaw security stack and OpenShell secure runtime to provide an agent operating environment. It also gets HPE's Alletra Storage MP X10000 device, something that the firm signposted at its earlier Discover event in December. These features will be available from July. The jolly green giant's AI Factory at-scale and Sovereign AI Factory products now integrate Nvidia Confidential Computing to protect user models and private data while running workloads, available from Q4 2026. On the hardware side, they are also integrated to work with Nvidia's RTX PRO 6000 Blackwell Server Edition GPUs, Spectrum-X networking, BlueField-3 DPUs and ConnectX-NICs. Russo said that HPE's Data Fabric Software will soon have integration points with agentic workloads, which "allows agents to see across your enterprise data, whether it's in the cloud, whether it's in third party storage, and have automated workflows to allow your agents to access that data with all of the identity access management and security criteria that you would expect." The Texan titan was also keen to promote the integration of its Juniper networking technology into its AI Datacenter stacks, following its assimilation of the firm less than a year ago. "We're bringing our networking portfolio to HPE AI factories and AI infrastructure. We're accelerating innovation by bringing the best innovations from HPE MIST into HP Aruba Central and the other way around. We're connecting AI ops across the entire portfolio to create a simpler, more unified experience with the Marvis AI engine as this common thread, throughout all the different layers," said Rami Rahim, HPE's EVP and general manager for Networking. What this means is that Marvis actions are now supported in Aruba Central, while CX switches can now be managed via Mist, as HPE continues to cross-pollinate capabilities from its two AIOps platforms. HPE also revealed new hardware including the Juniper QFX5140, a 16 Tbps switch built on Trident5 and aimed at inference clusters and edge AI, and the QFX5252 Switch tray for AMD Helios, a scale-up module for AMD's rack-scale AI platform. HPE also says it has integrated SD-WAN and Security Service Edge (SSE) into a unified console, Networking EdgeConnect, for simpler management and consistent policy enforcement. This being HPE, you can't get away without a mention of Greenlake, the firm's cloud-like IT services platform. "We're bringing HPE Juniper datacenter networking into the Greenlake platform, and this is a significant milestone because it creates a unified cross-domain operating experience across compute, storage, and networking," said Rahim. "Customers can now manage infrastructure more consistently with simplified operations and accelerate deployment of modern AI and enterprise workloads across the entire stack." Summing up, Rahim said HPE is "clearly moving fast and making progress" in support of the agentic infrastructure layers, as well as the intelligent hybrid operations that are needed for its agentic AI vision. ®

HPE AI Factory With NVIDIA Expands for the Era of Agents

HPE AI Factory with NVIDIA expands with NVIDIA Vera CPU and NVIDIA Agent Toolkit for HPE Private Cloud AI -- plus NVIDIA Confidential Computing and enhanced full-stack NVIDIA integration across HPE AI Factory solutions. Enterprises are moving agentic AI from proof of concept to production -- and the next generation of AI factories are built for the era of agents. At HPE Discover Las Vegas, running through Thursday, June 18, NVIDIA and HPE are expanding the HPE AI Factory with NVIDIA, including NVIDIA Vera CPU and NVIDIA Agent Toolkit for HPE Private Cloud AI. Plus, NVIDIA Confidential Computing extends across HPE AI Factory and enhanced full-stack NVIDIA integration -- with NVIDIA accelerated computing, NVIDIA AI software and NVIDIA networking -- is available throughout the entire portfolio. NVIDIA Vera CPU Available With HPE Private Cloud AI The HPE ProLiant Compute DL394 Gen12 with the NVIDIA Vera CPU will be available in 2027 with HPE Private Cloud AI, a turnkey AI factory co-engineered with NVIDIA. Vera is the first CPU built for agents -- designed for the tool calls, orchestration and real-time data processing required across the agent loop -- bringing deterministic, low-latency performance into HPE Private Cloud AI. The New York Stock Exchange, in collaboration with Redpanda and HPE, is an early enterprise customer exploring Vera CPU with the HPE ProLiant Compute DL394 Gen12 server. The Vera CPU is part of the NVIDIA Vera Rubin platform, which is ramping into full production with the NVIDIA Vera Rubin NVL72 rack-scale system available from HPE. Vera Rubin was built for frontier-scale models larger than 1 trillion parameters and will ship with full-stack NVIDIA Confidential Computing across every chip. HPE is also bringing the HPE Compute XD700 -- built on NVIDIA HGX Rubin NVL8 -- to the HPE AI Factory, supporting up to 128 Rubin GPUs per rack. NVIDIA Agent Toolkit Now Available With HPE Private Cloud AI NVIDIA Agent Toolkit -- including NVIDIA Nemotron open models, the NVIDIA OpenShell secure runtime and NVIDIA NemoClaw blueprints -- will be available with HPE Private Cloud AI. Together, they give enterprises an agentic AI operating system for monitoring agent behavior, enforcing governance policies, and safely building and running autonomous, long-running multi-agent systems. HPE Private Cloud AI adds secure local agent registration, letting customers approve AI models, skills and tools against centralized governance and security policies before they run. New HPE Zerto Software capabilities detect rogue agent actions and use continuous data protection to rewind to a clean state. On the data side, HPE Alletra Storage MP X10000 -- which achieved the foundation level of NVIDIA-Certified Storage -- automatically applies metadata and governance policies to prepare unstructured data for AI pipelines, improving token throughput. NVIDIA Confidential Computing Across All HPE AI Factory Solutions NVIDIA Confidential Computing is now available across the HPE AI Factory through HPE Services -- including HPE AI Factory at Scale, HPE Sovereign AI Factory and HPE Private Cloud AI. AI applications access and use private and sensitive data that needs to be protected and secured. In addition, models trained with proprietary data or techniques need to be safeguarded from exfiltration. Confidential computing is essential for these modern AI workloads, as it protects models and private data during execution for on-premises and sovereign deployments, establishing a chain of trust through cryptographic attestation and encryption at every stage. In addition, HPE ProLiant Compute DL380a achieved certification as part of the NVIDIA-Certified Systems for NVIDIA Confidential Computing program, which validates robust application performance with confidential computing. These systems provide hardware-based protection for AI workloads and sensitive data assets while maintaining optimal NVIDIA acceleration. Across the HPE AI Factory solutions, NVIDIA BlueField DPUs and NVIDIA DOCA provide in-silicon zero-trust policy enforcement, runtime threat detection and network encryption -- protecting AI workloads, agents and data without performance tradeoffs. Enhanced Full-Stack NVIDIA Integration Across the Portfolio HPE AI Factory at Scale, HPE Sovereign AI Factory and HPE Private Cloud AI are now available with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, NVIDIA Spectrum-X Ethernet networking, NVIDIA BlueField-3 DPUs and NVIDIA ConnectX-8 SuperNICs. For next-generation AI factories, every Vera Rubin NVL72 system will ship with NVIDIA networking built in -- NVIDIA Vera BlueField-4 DPUs, NVIDIA ConnectX-9 SuperNICs and NVIDIA Spectrum-X Ethernet -- with NVIDIA Spectrum-6 switching delivering 1.6x higher networking performance for AI communication versus off-the-shelf Ethernet. Spectrum-X Ethernet networking is the standard for HPE AI Factory with NVIDIA -- including at-scale, sovereign and turnkey AI factory solutions available now. For large-scale and sovereign workloads, HPE announced at NVIDIA GTC in March that it's also adding NVIDIA InfiniBand networking options -- including NVIDIA Quantum-X800 InfiniBand with the HPE Cray Supercomputing GX5000. These configurations are based on NVIDIA reference architectures and support use cases from AI development through production-scale deployment, with NVIDIA AI Enterprise software and the HPE Unleash AI ecosystem. At HPE Discover this week, the Unleash AI partner program is expanding with nearly a dozen new AI software partners -- including Aizen, BridgeTEK, deepset, Deliverance, Faclon Labs, Gallop, Rocket, Supervity, Thales, Trustwise and Vortiqx. Attendees can explore these solutions all week at the show and learn more about the HPE AI Factory with NVIDIA, part of the NVIDIA AI Computing by HPE portfolio.

Architecting for AI: Five things Antonio Neri told the enterprise at HPE Discover

Architecting for AI: Five things Antonio Neri told the enterprise at HPE Discover Hewlett Packard Enterprise Co. Chief Executive Antonio Neri opened the company's annual user conference, Discover, this week in Las Vegas with a manifesto for the AI era. Though all events now discuss the changing role of AI, Neri offered a different perspective on AI through the lens of information technology. The industry is moving from building IT systems to architecting intelligence. In that shift, the enterprise is no longer just an operator of technology but rather a designer of outcomes, a much different role for the people sitting in the audience. Neri leaned into the architectural metaphor throughout the keynote, and it worked. AI isn't a feature or a workload; it's a system-level transformation. That framing set up five clear takeaways that define where HPE is placing its bets and, more importantly, where enterprise IT is headed. 1. The network is back at the center of everything If the cloud era abstracted the network, the AI era is making it foundational again. Neri stated, "architecting for AI starts with your network." This reflects a broader industry shift in which AI workloads, especially large-scale training and distributed inference, are fundamentally network-bound and generate massive traffic. Latency, congestion and east-west traffic patterns now directly affect model performance and cost. The Juniper acquisition is obviously central to this strategy. HPE is positioning itself as a full-stack networking provider spanning campus, data center, and interconnect. The introduction of AI-optimized switching (such as the QFX series) and routing platforms (MX series) underscores the broader point that AI infrastructure is as much a networking problem as it is a compute problem. During his keynote, he named a customer, Vultr, to reinforce this point. Hyperscale AI environments aren't just about graphics processing units; they're about how efficiently you can connect them. In that sense, HPE is betting that Ethernet, paired with software intelligence, can compete with and win against proprietary AI fabric solutions. For enterprise buyers, this reframes network investments from "plumbing" to a "performance multiplier." 2. 'Self-driving' is evolving from a tag line to an operational model Juniper Networks Inc. has discussed the concept of self-driving networks for years, but this keynote presented a more mature, credible vision. The combination of Aruba Central, Juniper Mist and GreenLake Intelligence points to a unified operational model in which AI doesn't just monitor but actually acts. Neri emphasized systems capable of "detecting, diagnosing and remediating" issues before users notice them. This matters because AI infrastructure dramatically increases operational complexity. IT pros need to deal with hybrid environments, distributed inference and agent-driven workflows. Human-in-the-loop IT operations won't scale. What's different now is the integration of generative and agentic AI into operations. GreenLake Intelligence isn't just correlating telemetry; it's reasoning across domains and increasingly automating actions. A useful way to think about this: traditional AIOps was about insights. This next phase is about execution. Currently, self-driving applies to the network, but during the analyst Q&A, Neri made it crystal-clear that the intent is for agentic capabilities to span the IT stack. 3. The rise of the agentic enterprise is very real -- and very messy One of the more forward-looking parts of the keynote was Neri's focus on the "agentic enterprise." The idea that enterprises will soon manage thousands of AI agents isn't speculative; it's already underway. What's still missing is the control plane. Neri highlighted the looming problem of agent sprawl. Developers are building agents quickly, often outside centralized IT governance, creating risks to security, data access, and operational consistency. HPE's response is to position Private Cloud AI as the foundation for governed agent deployment. Additions to agent registration, identity models, policy enforcement and secure runtimes are intended to bring order to what could otherwise descend into chaos. The key insight is that managing agents will resemble managing users or applications, but with greater autonomy and higher stakes because business-impacting actions will be automated. For enterprise IT leaders, this should be a wakeup call that AI adoption is no longer just about models. It's about managing the lifecycle of autonomous systems. 4. Data and increasingly storage architecture are the real bottlenecks Neri made a point that often gets overshadowed by GPU headlines. AI is only as good as the data foundation it rests on. The HPE Alletra Storage MP updates, particularly those focused on unified file and object storage and Nvidia certification, highlight an important trend. Storage is becoming an active participant in AI pipelines, not just a passive repository. Features such as real-time metadata enrichment and tighter integration with AI frameworks are designed to reduce friction between data and models. That's critical because one of the biggest delays in enterprise AI projects is data preparation and movement. An interesting claim was that simplifying data pipelines could significantly shorten time-to-value. Though the exact numbers will vary, the direction is clear: Whoever solves the data problem wins the AI race. This is where HPE's full-stack story matters. Compute gets the attention, but data architecture determines outcomes. The importance of data management was underscored in a customer Q&A with analysts. I asked Matt Messick, chief information officer of the Dallas Cowboys, about the importance of bringing data silos together, and he said it's the top priority he thinks about now and that it's something the organization must get right if its AI aspirations are to be met. 5. Power is the constraint no one can ignore Perhaps the most grounded moment in the keynote was the discussion of energy. Neri cited a projected 19-gigawatt power gap in the U.S. by 2028, with data centers consuming an increasing share of that capacity. That's not a theoretical issue; it's a hard limit on AI expansion. During his keynote, HPE played a Siemens Energy video illustrating how AI is both driving demand and helping optimize supply. But the broader point is that infrastructure decisions are now inseparable from energy considerations. This has several implications: * Efficiency becomes a competitive advantage, not just a cost metric * Location strategy (where you build and run AI) becomes more constrained * Cooling, power delivery and sustainability move into the core architecture conversation In other words, the future of AI won't just be defined by model breakthroughs but rather it will be defined by who can power them. Final thoughts In summary, Neri's keynote wasn't about a single product or announcement. It was about positioning HPE as the company that can tie together networking, compute, storage, cloud and operations into a coherent AI architecture. That's an ambitious claim, but it aligns with where the market is going. Enterprises don't need more point solutions; they need integrated systems that can handle the scale and complexity of AI. The architectural framing is the right one. The open question is execution. Because in this new era, being an architect isn't just about designing the blueprint. It's about delivering the outcome. Zeus Kerravala is a principal analyst at ZK Research, a division of Kerravala Consulting. He wrote this article for SiliconANGLE.

HPE expands self-driving networking strategy as AI moves into production

HPE expands self-driving networking strategy as AI moves into production Hewlett Packard Enterprise Co. today unveiled a broad set of networking and artificial intelligence infrastructure enhancements at its Discover customer conference, promising to help enterprises deploy AI agents at scale by implementing self-driving networks and establishing AI factories as the foundation of what it calls the "agentic enterprise." The combined announcements underscore HPE's effort to position itself as a full-stack supplier for enterprises seeking to operationalize AI. Rather than focusing solely on model performance, HPE is emphasizing the infrastructure, governance, networking and operational capabilities required to manage large populations of AI agents securely and reliably. The announcements span networking, security, AI infrastructure, data management and operations software. Together they reflect HPE's belief that enterprises are entering a new phase of AI adoption in which autonomous agents will increasingly take actions rather than simply answer questions. "AI doesn't just answer. Now AI is starting to act," said Rami Rahim, executive vice president and general manager of HPE's networking business. "AI agents are moving into workflows, connecting to applications, using more data to make decisions." Rahim said many enterprise AI projects fail because organizations don't think about architecture in advance. "We truly believe that this is not just another AI adoption curve," he said. "It's becoming a technology spending shift, and it requires a solid architectural foundation." Network central HPE said a central element of that foundation is networking. The company announced new capabilities that extend its self-driving networking strategy across campus, branch, data center and AI infrastructure environments. The company is integrating its Juniper networking portfolio more deeply into HPE AI Data Center Solutions, adding Juniper QFX switches and networking management software to its AI Factory offerings. Among the new products are the HPE Juniper Networking QFX5140 switch, designed for AI inference clusters and edge deployments, and a new QFX5250 switch tray optimized for Advanced Micro Devices Inc.'s Helios rack-scale AI platform. HPE said the products are intended to reduce networking bottlenecks that can leave graphic processing units waiting for data rather than processing workloads. The company is also extending AI-driven operations across its networking portfolio. Support for HPE Networking CX switches is being added to the Mist network management platform, while Marvis, HPE's AI-driven networking assistant, is being expanded into Aruba Central. "A year ago, we promised our customers that we would bring together the best of Juniper and Aruba," Rahim said. "Today, we are delivering on that promise." New capabilities include predictive analytics for data center operations and an agentic AI-powered root-cause analysis engine designed to identify and remediate network issues before they affect users. HPE said the system continuously analyzes telemetry across infrastructure components and leverages operational data and historical knowledge to accelerate troubleshooting. "Problems that once took hours, if not days, to diagnose can now be resolved literally in minutes or even proactively before anybody understands that there is an issue," Rahim said. Security is another major focus. HPE introduced a unified AI-native secure access service edge platform that combines SD-WAN and cloud-delivered security management into a single console. The platform is designed to accelerate zero-trust deployments while simplifying policy management and operations. AI Factory enhancements Beyond networking, HPE announced several additions to its AI Factory with Nvidia portfolio. The company is adding support for Nvidia Corp.'s Agent Toolkit software, Nvidia Nemotron models, Nvidia OpenShell secure runtime and Nvidia Confidential Computing technologies. The enhancements are intended to provide governance, observability and security controls for enterprises deploying AI agents in production environments. The enhancements are meant to address customers' needs for infrastructure designed specifically for agentic AI workloads, said Fidelma Russo, HPE's chief technology officer. HPE Private Cloud AI, the company's turnkey AI platform developed with Nvidia, is gaining new governance and data-management features. These include secure local agent registration, model governance controls, enhanced data preparation capabilities and support for up to 256 GPUs for large-scale inference workloads. The company is also integrating its Alletra Storage MP X10000 platform into Private Cloud AI. HPE said the storage system can automatically apply metadata and governance policies to unstructured data while improving inference performance and token processing efficiency. A notable addition is expanded support for HPE's Data Fabric software, which now includes integrations designed to make enterprise data more accessible to AI agents while preserving identity, access and security controls. "We have the most proven data fabric software in the market," Russo said, "and perhaps more important as we go into this era of AI is the speed at which it reacts in real time." To address concerns about AI failures and unintended agent behavior, HPE is extending its Zerto data protection technology to AI environments. The software can identify problematic agent actions and roll systems back to a known good state using continuous data protection capabilities. The announcements also expand HPE's broader GreenLake hybrid cloud platform. New integrations connect networking, compute and operations management tools, while new Morpheus and OpsRamp copilots provide natural-language interfaces for orchestration, observability and remediation tasks. HPE also announced a partnership with ServiceNow Inc. to integrate GreenLake Intelligence and OpsRamp capabilities with IT service management workflows. "These are the essentials of an architecture for AI that doesn't just provide answers, but AI that actually acts," Rahim said.

HPE expands Private Cloud AI factory portfolio to support next-gen autonomous agents

HPE expands Private Cloud AI factory portfolio to support next-gen autonomous agents Hewlett Packard Enterprise Co. today unveiled a massive expansion of its artificial intelligence infrastructure for private cloud deployments, enhancing its portfolio with Nvidia Corp.'s new Vera chips and tools for developers. The new offerings are meant to provide enterprises with everything they need to bring autonomous AI agents online within secure, on-premises environments to ensure they can operate with strict compliance in regulated industries. Announced at HPE Discover in Las Vegas today, the updates include a new, high-performance ProLiant server powered by Nvidia's Vera central processing units, the Nvidia Agent Toolkit and an extension of Nvidia Confidential Computing, which is now available across HPE's entire Private Cloud AI server lineup. The new HPE ProLiant Compute DL394 Gen12 server is expected to be available in early 2027, and will be one of the first to feature Nvidia's new Vera CPUs, which are purpose-built to support AI agents. The chips are designed to handle the rapid tool calls, complex orchestration and real-time data processing that's required to support thousands of autonomous agents, enabling deterministic, low-latency performance for on-premises agentic deployments. The Vera CPUs are part of the broader Nvidia Vera Rubin platform, as the chipmaker expands production of them in its massive NVL72 rack-scale systems. HPE will be one of the first server makers to get its hands on these too. When it launches its upcoming HPE Compute XD700 system built on the Nvidia HGX Rubin NVL8 architecture, it will support up to 128 Rubin graphics processing units per rack. On the software side, HPE said its Private Cloud AI servers will now ship with the Nvidia Agent Toolkit, which encompasses the chipmaker's open-source Nemotron models, the OpenShell secure runtime and NemoClaw blueprints. These allow it to serve as a kind of agentic AI operating system, providing everything enterprises need to design, build, run, orchestrate and monitor autonomous multi-agent systems at large scale. Meanwhile, HPE is providing its own capabilities in the shape of enhanced governance and security tools. These include the addition of secure local agent registration features to HPE Private Cloud AI. Customers will be able to vet and approve AI models and tools against centralized security policies before they're deployed. In case an agent decides to go off-the-rails, HPE's Zerto Software will immediately detect what's happening and rewind its actions to return it to a clean state. Moreover, HPE Alletra Storage MP X10000 is there to apply metadata policies to unstructured data to prevent misuse and unauthorized access. The final piece of the puzzle is Nvidia Confidential Computing, which is being rolled out across HPE's entire Private Cloud AI hardware portfolio. HPE explained that modern applications frequently have to access sensitive data, and so there's a need to protect that information at the moment it's unencrypted for processing. Nvidia's confidential computing capabilities help with this by establishing a cryptographic "chain of trust" that protects data by ensuring it's only processed in a secure, isolated environment within the server. As part of this rollout, the HPE ProLiant Compute DL380a is the first to be certified for confidential computing. The updates are meant to cater to the complex requirements of enterprises that need to run AI agents on-premises for reasons related to compliance and concerns around data leaks. Risk-averse companies can't afford to take the risk to store sensitive data and run mission-critical workloads in the cloud. With HPE Private Cloud AI, enterprises will be able to spin up the high-performance turnkey environments AI agents require and ensure their proprietary data and workloads runs safely behind their corporate firewalls, while benefiting from low-latency processing.

HPE Networking President Rami Rahim On Latest Self-Driving Network Innovation And Why HPE Remains 'Years Ahead' Of Competitors

"HPE is already leading the industry in self-driving networks," said Rahim. "You can see it in our results. You can see it in the customers that we are winning every day. Our AI for Networks capabilities I think truly remain years ahead of the competition." HPE Networking Executive Vice President, President and General Manager Rami Rahim said HPE is bringing new breakthrough self-driving network innovations into the data center, including AI-based "root-cause analysis" aimed at rapidly diagnosing and proactively fixing potential data center network issues. "The problems that once took hours if not days to diagnose can now be resolved literally in minutes or even proactively before anybody understands there is an issue," said Rahim in a press conference unveiling the new self-driving network features to be announced at HPE Discover. The data center AI operations capabilities combine "telemetry, application flows, operational context and historical knowledge to understand rapidly the root cause and recommend next steps," said Rahim. HPE is also bringing "predictive analytics" to data center infrastructure operations by "continuously analyzing telemetry across all the infrastructure," including power, temperature, optics and system health to "identify potential issues before they become outages," said Rahim. "Together these capabilities bring the self-driving network from where it started inside the campus and branch for us into the data center, and that has true benefits for our customers," he said. HPE is, in fact, driving the Juniper Mist Marvis AI engine throughout all the HPE infrastructure layers along with making security "an essential built-in component" of any HPE networking solution, said Rahim. "We're connecting AIOps across the entire portfolio to create a simpler, more unified experience with the Marvis AI engine as the common thread throughout all the different layers," said Rahim. HPE is also making good on its pledge to bring the popular Juniper Mist AI self-driving network engine capabilities to HPE Aruba Central. "HPE is already leading the industry in self-driving networks," said Rahim. "You can see it in our results. You can see it in the customers that we are winning every day. Our AI for Networks capabilities I think truly remain years ahead of the competition." Rahim said the "starting point" for the agentic AI era begins with the self-driving network foundation because agentic AI needs "secure, adaptive connectivity across users, data, applications, clouds and, of course, data centers." As part of that agentic AI era architecture, HPE is integrating the HPE Juniper networking portfolio into HPE AI Factory-validated designs, essentially providing a full-stack "AI-native infrastructure with proactive operations" to accelerate AI data center deployments. Rahim said the agentic AI era is not just "another AI adoption curve," but a "technology spending shift" that requires a "really solid architectural foundation." To that point, Rahim issued a "warning" that because the market is "moving so fast" many AI projects will "fail if they are not built with the right foundation," including the right controls and operating model. Agentic infrastructure requires compute that's "built for faster decisions," data platforms that make enterprise data AI-ready, and private and sovereign controls for AI with intelligent and hybrid operations that help IT teams "manage, optimize and protect" agentic enterprises, said Rahim. "Manual effort in this stage just doesn't cut it anymore," he said. "The message is simple but it's powerful: We're innovating across the portfolio, delivering a more intelligent, automated and secure networking experience for all of our customers in networks for AI, in AI for networks and also in security." Here is a look from Rahim at what he calls the latest HPE self- driving network innovations with an agentic AI architecture that "doesn't just provide answers but AI that actually acts." HPE Brings New AI 'Root-Cause Analysis' Capabilities To Data Centers HPE has announced new breakthrough AI "root-cause analysis" capabilities aimed at rapidly diagnosing and proactively fixing potential data center network issues. "The problems that once took hours if not days to diagnose can now be resolved literally in minutes or even proactively before anybody understands there is an issue," said Rahim. HPE said the new root-cause analysis capabilities use what it calls an "advanced reasoning" agent for "high-confidence remediation" of data center networking issues. "Think of this as Marvis AI engine for data center operations," said Rahim. HPE said it is employing agentic AI to continuously and autonomously reason across diverse data streams, including "millions" of technical assistance center support tickets to proactively provide "actionable remediation" in the data center network. The AI data center networking breakthrough also leverages a contextual graph database from HPE Networking Data Center Director to provide the remediation capabilities. New 'Predictive Analytics' Capabilities For Data Center Operations HPE is also bringing new "predictive analytics" capabilities to data center operations. The new Mist AI and Marvis AI engine capabilities will proactively analyze telemetry across AI infrastructure, including power, temperature, optics and system health to "identify potential issues before they become outages that impact" infrastructure, said Rahim. "This leverages more than a decade of AI expertise that we have built, and it helps customers improve uptime, reduce risk and operate just far more efficiently," said Rahim. HPE said it is using AI and machine learning to "predict system and optics failures with a high confidence level well before they occur." The new AI capabilities include what HPE called "multidimensional visualization [to] prevent network outages and deliver higher application resiliency." HPE Brings Juniper Network Integration To HPE AI Factories, Adds New QFX5140 Switch HPE is bringing Juniper network integration, including Juniper networking switches, as a full-stack validated solution to "scale, simplify and accelerate" HPE AI Factory deployments. "This includes the switches themselves managed through HPE Networking Data Center Director, creating a fully integrated full- stack solution," said Rahim. The networking QFX switches supported include 5230, 5240 and 5250 with self-driving network operations powered by the HPE Mist AI Networking Data Center Assurance platform. HPE also announced a new QFX5140 network switch "purpose- built for the next wave of AI infrastructure with a special focus on inferencing clusters at the edge," said Rahim, noting that HPE is seeing "explosive growth and demand" for AI inferencing. The 1RU 16-Terabit-per-second switch is built on the Trident 5 switch from Broadcom. It includes AI load balancing, congestion control and supports from 25 Gigabit-per-second to 800-Gigabit- per-second performance. HPE Makes Good On Its Pledge To Bring Mist AI Marvis Capabilities To Aruba Central HPE said it is following through on its pledge to bring the popular Juniper Mist AI self-driving network engine capabilities to HPE Aruba Central. "Mist customers consistently tell us that these Marvis action capabilities are absolutely indispensable because they don't just identify problems, they proactively resolve them," said Rahim. "So now we are extending those same proven capabilities to [Aruba] Central, giving customers AI-driven insights and recommended actions across wired, wireless and SD-WAN environments that are all operated through HPE Aruba Central. Honestly, our customers have been asking for this, and I think they are absolutely delighted to see us deliver it." The Mist Aruba Central integration marks a major milestone for HPE, coming only 11 months after HPE acquired Juniper Networks for $13.4 billion after a battle with the U.S. Department of Justice. "The strategy has always been to create a common self-driving experience across both HPE Mist and HPE Aruba Central powered by one AI engine that we call Marvis," said Rahim. "We've already begun that journey with software cross-pollination as well as common hardware like APs [access points]." HPE Brings Aruba CX Switching Capabilities Into Mist HPE is bringing Aruba CX switching capabilities into the popular Mist platform with Marvis AI support for proactive troubleshooting and remediation of CX switches. The new Mist CX switching capabilities include "AI-driven visibility before and after connection, proactive issue detection and remediation and Marvis AI assistant support for troubleshooting and operations," said Rahim. "I think we are making it very clear to our customers with these innovations that our platform integration strategy is not a distraction for us away from innovation, it is in fact an acceleration of innovation for our customers," he said. A New Unified SASE-SD-WAN Platform For Cloud-Delivered Security HPE announced what it called a "new unified SASE platform built on HPE Networking EdgeConnect and powered by advanced firewall technology" from Juniper that converges SASE and SD-WAN into a new cloud-delivered security platform. The new HPE SASE Orchestrator, which will be available later this year, brings SASE and SD-WAN together through one AI- native management console. The new management console provides a "single management experience with a unified policy engine, simplified zero-trust deployments and AI-driven operations," said Rahim. "The benefits to our customers are truly immediate here: simpler operations, faster zero-trust adoption and a better user experience through intelligent traffic steering and application-aware connectivity." Rahim said one of the "most powerful outcomes" of bringing HPE and Juniper together is that the combination has brought customers a "truly comprehensive" security portfolio. "Together we offer all of the critical building blocks customers need," he said. Bringing Self-Driving Capabilities To HPE GreenLake, Compute Ops Management HPE is bringing self-driving network capabilities to the HPE GreenLake pay-per-use platform and HPE Compute Ops Management. "Self-driving isn't just a networking concept for us at HPE, it is becoming a core principle across all of HPE, especially for GreenLake," said Rahim. "Over the past year, we have been steadily extending our networking capabilities into the broader HPE ecosystem." HPE first is bringing HPE Juniper data center networking integration to the HPE GreenLake platform. "This is a significant milestone because it creates a unified cross-domain operating experience across compute, storage and networking," said Rahim. "Customers can now manage infrastructure more consistently with simplified operations and accelerate deployment of modern AI and enterprise workloads across the entire stack. I don't think anybody else in the industry can deliver these kinds of unified solutions across the critical building blocks of IT." HPE also announced that Mist Networking Data Center Assurance is now integrated into HPE Compute Ops Management. "What that means is instead of managing servers and network fabrics separately customers can gain a unified operational view across both domains," said Rahim. "We are clearly moving fast and making very significant progress, all of it in support of the agentic infrastructure layers as well as the intelligent hybrid operations that ties it all together," said Rahim.

HPE's Big Nvidia Vera CPU Bet: What You Need To Know

HPE announced it has outfitted its HPE ProLiant Compute DL394 Gen12 server with the Vera CPU -- which is designed for agentic computing -- to power HPE Private Cloud AI. HPE is making a big Nvidia Vera CPU bet, bringing the eagerly awaited processor to HPE Private Cloud AI. HPE said it has outfitted its HPE ProLiant Compute DL394 Gen12 server with the Vera CPU -- which is designed for agentic computing -- to power HPE Private Cloud AI. The new Nvidia processor, which has shaken up the processor landscape, will be available in the fall. The new processor comes with customers facing rising memory prices and supply constraints in the AI market. Nvidia is promising that supply will not be an issue as it brings Vera to market. The ARM-based Vera CPU lowers the cost for inference computing by eliminating CPU bottlenecks to inference computing, said John Carter, vice president of mainstream compute at HPE. "The analogy I have been using with a lot of people is a traditional x86 processor is like a two-lane highway -- when you get into a traffic jam it really doesn't matter if you increase the speed limit," said Carter. "You can increase the speed limit from 40 to 80, but the cars still aren't moving. What we have really done here is opened up the traffic by adding more lanes to the highway. So it's less about speed improvements. It is all about memory coherency and the removal of complexities like NUMA [Non Uniform Memory Access]. So you've got massive performance gains in specific kinds of workloads." Carter said a big differentiator for Vera is Nvidia's focus on the specific workloads that will benefit from the ARM architecture. "I really, really, like that Nvidia stayed super specific about exactly what workloads they were going after and did not try to attack the whole market," he said. "That is where we have been unsuccessful as an industry with ARM. We don't have to solve all those other problems. This is really focused on agentic, memory bottlenecks and bandwidth bottleneck problems." Higher Performance Throughput Than X86 The new Vera CPU provides 80 percent more performance on a per-core basis for throughput than x86 CPUs, said Nvidia Vice President of Enterprise Platforms and Solutions Chris Marriott. "We're really specific in the workload that we are going after here," said Marriott. "Just like we do with our GPUs, we do the same thing with our CPUs and apply that goodness to these specific markets." Key to the performance is pairing the Vera CPU with low-powered LPDDR5X memory, said Marriott. Nvidia is building ARM-based CPUs from laptops to rack-scale systems, he said. "Literally we have products for every segment of the market by the end of this year to move the entire ecosystem [to ARM]," said Marriott. "That's what makes me excited." Marriott said having HPE adopt Vera is a feather in Nvidia's cap. "HPE is kind of the cornerstone of the enterprise market," he said. "HPE has been serving HPC [high-performance compute] for 30 years and also uses a dense Vera-based liquid-cooled solution. It is kind of a match made in perfection." A Price-Competitive Solution For Inference Computing Carter promised that the Vera-based HPE ProLiant Compute DL394 Gen12 will be priced competitively with x86 systems. "When you think of a standard x86 system, this is going to be very competitive," he said. "This is not a massive eight-GPU cluster with a price tag that something only the largest of customers can afford. When you think about a standard enterprise server, it is going to fall right in those typical ranges. The vast majority of this is standard enterprise components. It is not magic. It is taking everything that we already do for the enterprise and adding in some of the Nvidia special sauce." Marriott said Vera provides accelerated CPU performance but is right in the "price band" for inference workloads. "It is not super exotic," he said. "The supply chain is there. It is using standard products and sheet metal." Nvidia has been determined to keep its Vera march into the market "simple" with a single Vera 88-core CPU for the inference market, said Marriott. "We don't have a SKU range of 30 different SKUs to go down into the entry-[level] standard x86 plain CPU [segment]," he said. "The simplicity of this allows HPE to build a single product SKU that goes directly into the mainstream to go attack these workloads. ... The CPU and memory paired with it in a standard platform is going to be super competitive." HPE Provides iLO Security Silicon Root Of Trust With Vera The Vera-based HPE ProLiant Compute DL394 Gen12 will support HPE's long-standing "silicon root of trust" iLO technology, said Carter. "What we realized here is the experience with which we build this technology really matters," he said. "That is why we made it a central point that iLo is a central value of a ProLiant server and that was going to stay our management control point within a Vera-based system as well." Marriott said the iLO capability brings a powerful "single-pane-of- glass management and monitoring" for the huge HPE installed base of servers. "That's super exciting," he said. "That's exactly what we wanted." Nvidia Is In Full Production, Ready To Provide Supply To HPE Vera is in full production with full confidence in the supply chain to provide HPE processors, said Marriott. "Our confidence in the platform is super solid," he said. "It is here. It is coming. There are no issues of timeline. At this moment at least there is nothing from a memory standpoint that will affect the ramp of this product. There is no uncertainty in the memory supply of this product. The biggest risk I'll say in the short term is literally the demand of CPUs that us and HPE and the industry is seeing as this agentic rollout begins." Marriott said he sees no "supply issues" with Vera at this point in time. "Going into the future, the demand issue for CPUs is going to be the limiting factor," he said. "Can you just go out and buy 1,000 of these any day that you want? We hope that to be the case." A Call To Action For Partners For Vera: Get On Board Carter said his call to action for partners is to get on board with the HPE ProLiant Compute DL394 Gen12 for HPE Private Cloud AI. "Don't wait," said Carter. "We all know AI is moving faster than any of us can keep up with, even Nvidia. The faster you reach out, the better. Have a conversation with your Nvidia rep or your HPE PBM [Partner Business Manager]. Get a time set up and let's talk now because by the time this thing is live and shipping, it is too late. You want to be in front of it." Carter said Vera opens the door for enterprises to "truly" scale and adopt inference computing. "You are going to get a system that takes advantage of all the latest technology with performance optimized specifically for this workload, but you are consuming it in a package that you can afford and you know how to deal with," he said. "The simplification there just makes this very different than anything enterprises have had to date." Ultimately, Marriott said the Vera-based ProLiant DL394 on Private Cloud AI is going to dramatically shorten the time of tasks with inference-based AI computing. "What it really allows us to do is just accomplish more and have personal assistants and agents," he said. "That is really the impact. This is the start of that era of, 'Look at what agents can do automatically now.'"

HPE expands self-driving networks across edge, campus, data center, and AI factories

HPE today announced major advancements that expand its self-driving networking strategy across AI factories, data centers, and the enterprise edge by introducing new AI data center networking, routing, Agentic AIOps, and security innovations designed to simplify operations and improve performance across increasingly distributed AI-driven environments. Innovations introduced today advance networking as the foundation of HPE's agentic enterprise strategy, with self-driving networks delivering the intelligent automation needed to simplify operations, reduce complexity, and enable autonomous IT at scale without human intervention. The new capabilities include support for HPE Networking CX wired access switches in the HPE Mist platform, expanded HPE Marvis AI-driven insights and self-healing automation in HPE Aruba Central, and new AI data center features that use agentic reasoning to speed root cause analysis and remediation. As part of its expanded AI networking innovations, HPE is also strengthening its networks for AI portfolio with new HPE Juniper Networking QFX Switches optimized for inferencing and scale-up architectures, as well as deeper integration of HPE Juniper Networking data center switching and operations into HPE AI Data Center Solution. Additionally, a new unified AI-native SASE platform simplifies the convergence of networking and security through common operations and accelerates zero trust adoption to maximize the protection of users, devices, and applications. "The success of agentic AI in the enterprise depends on a modern networking foundation built for autonomous workflows, where network performance, reliability, and intelligence determine the effectiveness of the entire AI architecture," said Rami Rahim, executive vice president, president and general manager, Networking, HPE. "HPE is delivering that foundation, enabling enterprises to deploy agentic AI with greater control, confidence, security, and operational simplicity." New networking innovations for AI workloads The HPE AI Data Center Solution is expanding to include HPE Networking, integrating HPE Juniper Networking QFX Switches managed through HPE Networking Data Center Director. This new capability adds to HPE's existing full-stack AI infrastructure, and strengthens HPE's pre-integrated solution spanning compute, networking, storage, software, and services, accelerating AI data center deployments while improving interoperability and delivering a scalable, production-ready foundation with predictable performance. These innovations are designed to support increasingly complex AI training and inference workloads, helping customers scale AI infrastructure platforms such as AMD Helios from experimentation to production. In addition, new introductions to HPE's networks for AI portfolio include: * HPE Juniper Networking QFX5140 Switch: designed for inference clusters and edge AI use cases, delivering the performance and scalability required for the rapidly growing inference market, instrumental in driving HPE AI Data Center Solution to the edge. * HPE Juniper Networking QFX5252 Switch tray for AMD Helios: scale-up module for AMD Helios AI rack-scale platform, delivering the low-latency, high-bandwidth switching required to maximize AI infrastructure performance at scale. HPE's new switching innovations enable GPUs to spend more time processing workloads and less time waiting on the network, eliminating a key bottleneck in AI deployments while improving infrastructure efficiency and lowering total cost of ownership (TCO). Together, they strengthen HPE's position as a leader in delivering end-to-end AI infrastructure that enables customers to move from experimentation to production faster. Extending Agentic AIOps across the HPE Self-Driving Network portfolio HPE continues to advance its agentic enterprise vision that includes its unified self-driving networking portfolio by aligning the HPE Aruba Central and HPE Mist AI platforms with shared agentic capabilities, common hardware, and consistent AI-native operations. This integration between platforms marks yet another milestone in HPE's 'cross-pollination' strategy to unite the HPE Aruba Networking and HPE Juniper Networking portfolios. New AI for networks capabilities in the HPE portfolio include: * Integration of the HPE Networking CX switching portfolio with HPE Mist, giving HPE Networking CX customers flexibility in Agentic AIOps platform while introducing advanced wired capabilities such as AI-native visibility, zero-touch provisioning, wired assurance for layer 2 access, dynamic PCAP, service-level insights, and HPE Marvis AI-driven actions. * Availability of HPE Marvis AI-powered self-driving capabilities for HPE Aruba Central, including trusted actions such as wired port remediation to further extend autonomous operations across the HPE networking portfolio. HPE has also expanded data center operations within the HPE Mist platform. In addition to existing self-driving data center networking capabilities, such as proactive HPE Marvis actions and minis, HPE has now added the following: * Proactive maintenance using predictive analytics: AI and machine learning (AI/ML) are used to predict system and optics failures with a high-confidence level, well before they occur, with intelligent multidimensional visualization to prevent network outages and deliver higher application resiliency. * Advanced reasoning agent for high-confidence remediation: Agentic AI is used to continuously and autonomously reason across diverse data streams, including millions of TAC cases and a contextual graph database from HPE Networking Data Center Director, to deliver precise root cause analysis (RCA) and actionable remediation in the data center network. HPE Networking, compute, and hybrid cloud integrations to enable HPE's agentic enterprise vision Building on the successful integration with HPE OpsRamp Software and HPE Morpheus Software, HPE Networking is further expanding its unified infrastructure stack to deliver a seamless, cross-domain experience across compute and hybrid-cloud environments. This expansion accelerates the journey toward a self-driving data center by bridging operational silos, streamlining operations, and delivering a single point of control with the following announcements: * HPE Mist Networking Data Center Assurance is now integrated with HPE Compute Ops Management, reducing tool sprawl, delivering cross-domain visibility and insights, and enabling efficient scaling with existing teams. * HPE Mist Networking Data Center Assurance is now integrated into GreenLake to deliver a unified cross-domain user experience with streamlined operations that simplify IT infrastructure management. Unified SASE with zero trust security HPE also announced a new unified SASE platform, built on HPE Networking EdgeConnect and powered by advanced firewall technology, that converges SD‑WAN and cloud‑delivered security in a single, AI‑native management console. As AI helps attackers discover and exploit vulnerabilities faster, the platform minimizes exposure through accelerated zero trust adoption and simplified operations. This unified approach by HPE protects self-driving networks by ensuring that only authorized users and devices can securely access the resources they need while keeping those resources hidden from attackers. Key benefits include: * Integrated SD-WAN and SSE: Bringing SD-WAN and Security Service Edge (SSE) into a unified console for simplified management and consistent policy enforcement. * Faster zero trust adoption: Embedded SSE connector deploys zero trust faster without installing additional ZTNA connectors or infrastructure. A dedicated Secure Web Gateway (SWG) tunnel extends protection against web-based threats to all devices, including IoT devices. * Foundation for sovereign SASE: The SSE connector combined with Private Edge keeps traffic within the corporate boundary without hairpinning traffic through cloud SSE PoPs. * AI-native operations: Accelerating issue resolution and detecting security gaps through natural-language interaction and intelligent analytics with SASE copilot. New opportunities to reinvest in AI networking HPE Financial Services is launching a new Network Migration Program to help organizations move to AI‑ready networks faster, with lower cost and less risk. The program brings together better‑than‑cash hardware financing, 0% software financing, and a new IT Asset Program that unlocks value from existing gear to fund innovation.

HPE brings agentic AI into production with NVIDIA, delivering security, governance, scale, and sovereignty

HPE today announced new innovations to help customers transform into agentic enterprises and move AI into production with greater security, governance, and control. These new offerings transform the HPE AI Factory with NVIDIA for the next era of AI where intelligence adapts, evolves, collaborates, and governs. "As AI becomes more autonomous, organizations need a new architecture to run it securely, govern it responsibly, and scale it economically," said Antonio Neri, president and CEO, HPE. "Across networking, servers, storage and software, HPE is delivering full-stack AI solutions with NVIDIA that build the foundation for agentic enterprises, helping customers move from experimentation to production with control and confidence." "Every layer of the computing stack is being reinvented for the age of AI agents," said Jensen Huang, founder and CEO, NVIDIA. "Together with HPE, we are building AI factories for this new era of computing -- powered by NVIDIA Vera CPUs, accelerated infrastructure, and secure AI software -- to help enterprises transform their data into intelligent action." Fully-operational enterprise agentic AI in the HPE AI Factory with NVIDIA Across every industry, enterprises are navigating how to thoroughly harness AI agents in full-scale production environments and to automate business processes and make better decisions. As organizations move to operationalize agentic AI and optimize token usage, HPE is delivering technology architected to simplify that journey while making it more secure and performant. HPE Private Cloud AI, a turnkey AI factory solution co-engineered with NVIDIA, is introducing new capabilities that help customers deploy trusted, enterprise-ready agentic AI with greater control, observability, and efficiency. Secure and governed agentic AI gives enterprises the controls needed to move agents from development to production with confidence. NVIDIA Agent Toolkit software, including NVIDIA Nemotron open models, NVIDIA NemoClaw, and the NVIDIA OpenShell secure runtime, provide an agent operating system that efficiently reasons, lets customers monitor agent behavior, enforce policies, and reduce deployment risk. HPE Private Cloud AI adds HPE ProLiant Compute DL394 Gen12 with NVIDIA Vera CPU as a compute-optimized foundation for agentic AI and high-performance data processing, including security and management features. New HPE Zerto Software capabilities help customers identify when rogue agent actions take place and use continuous data protection to rewind to a clean slate. HPE Private Cloud AI also supports secure local agent registration, providing customers with the ability to approve AI models, skills, and tools while adhering to centralized governance and security policies. Data is foundational to the AI journey but can also be its biggest bottleneck. HPE Private Cloud AI helps enterprises turn unstructured data into AI-ready pipelines in minutes while improving inference efficiency. With the built-in intelligence of HPE Alletra Storage MP X10000, customers can automatically apply metadata and governance policies to prepare data for AI applications and cut token response times by up to 20X[i]. HPE Private Cloud AI helps customers optimize by improving prompt processing efficiency and boosting token throughput by up to 20%[ii]. HPE Data Fabric Software broadens data availability for agentic workflows by extending support of model context protocol (MCP) to Apache Airflow and introduces an enterprise AI inventory that enriches distributed data with metadata. A standalone HPE Data Fabric appliance, available on HPE ProLiant Compute servers, simplifies and accelerates deployment. HPE Private Cloud AI optimizes a customer's AI investment by helping to control token costs, maximize GPU utilization, and enable long-term scalability. New capabilities include a unified model gateway for governed frontier model access, active workload prioritization, and multi-node inferencing for up to 256 GPUs. Fine-tuning of pre-trained AI models, including NVIDIA Nemotron open models, with secure access to existing enterprise data for agentic AI is supported through NVIDIA NeMo. More security for the large-scale HPE AI Factory HPE is enhancing HPE AI Factory at-scale and HPE Sovereign AI Factory by introducing the following new capabilities: * NVIDIA Confidential Computing for at-scale and sovereign architecture: HPE is integrating NVIDIA Confidential Computing for the HPE AI Factory through HPE Services. NVIDIA Confidential Computing protects models and private data during execution for on-premises or sovereign deployments. Establishing a chain of trust through cryptographic attestation and encryption at every stage to verify hardware, software, and datasets, enabling the HPE AI Factory to comply with regional or industry standards. Across the HPE AI Factory, NVIDIA BlueField and NVIDIA DOCA enable zero-trust policy enforcement, runtime threat detection, and networking encryption - helping enterprises protect AI workloads, agents and data across the AI factory while maintaining performance and operational efficiency. * Enhanced NVIDIA integration: HPE AI Factory at-scale and HPE Sovereign AI Factory will be available with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, NVIDIA Spectrum-X Ethernet, NVIDIA BlueField-3 DPUs, and NVIDIA ConnectX-8 SuperNICs. The full-stack HPE AI Factory is based on NVIDIA reference architectures and supports a broad range of use cases, from AI development to production-ready deployments at scale - with software including NVIDIA AI Enterprise and ecosystem partners in the HPE Unleash AI program. HPE also recently announced it is broadening its AI factory solutions with NVIDIA Vera Rubin NVL72 by HPE rack-scale system, HPE Compute XD700 built on NVIDIA HGX Rubin NVL8, the HPE Cray Supercomputing GX240 Compute blade designed with NVIDIA Vera CPUs, and NVIDIA Quantum-X800 InfiniBand support for the HPE Cray Supercomputing GX5000.

HPE expands self-driving network portfolio with AI innovations By Investing.com

LAS VEGAS - Hewlett Packard Enterprise (NYSE:HPE) announced Tuesday networking advancements focused on AI data centers, agentic operations, and security at its Discover Las Vegas 2026 conference.The announcements come as HPE trades at $48.64 with a market capitalization of $64.6 billion, delivering a remarkable 175% return over the past year. According to InvestingPro data, 17 analysts have revised their earnings upwards for the upcoming period, though the stock currently appears overvalued based on InvestingPro's Fair Value analysis. The company integrated its Juniper networking portfolio into HPE AI Data Center Solutions, combining HPE Juniper Networking QFX Switches with HPE Networking Data Center Director. The integration spans compute, networking, storage, software, and services. HPE introduced two new switches: the QFX5140 Switch for inference clusters and edge AI applications, and the QFX5252 Switch tray designed for AMD Helios AI rack-scale platforms. The switches aim to reduce latency and increase bandwidth for AI workloads. The company expanded its AIOps capabilities by adding support for HPE Networking CX switches in the HPE Mist platform. Features include AI-native visibility, zero-touch provisioning, and wired assurance for layer 2 access. HPE Marvis AI-powered capabilities, including wired port remediation, are now available for HPE Aruba Central. New data center operations features include predictive analytics for system and optics failures, and an advanced reasoning agent that uses agentic AI for root cause analysis and remediation. HPE integrated its Mist Networking Data Center Assurance with HPE Compute Ops Management and GreenLake to provide cross-domain visibility and unified infrastructure management. The company launched a unified SASE platform combining SD-WAN and Security Service Edge in a single management console. The platform includes integrated SD-WAN and SSE, an embedded SSE connector for zero trust deployment, and AI-native operations through a SASE copilot. "The success of agentic AI in the enterprise depends on a modern networking foundation built for autonomous workflows," said Rami Rahim, executive vice president, president and general manager, Networking, HPE.For deeper insights into HPE's financial health and growth prospects, investors can access comprehensive Pro Research Reports available on InvestingPro, covering this and 1,400+ other US equities with expert analysis and actionable intelligence. HPE Financial Services introduced a Network Migration Program offering hardware financing, 0% software financing, and an IT Asset Program. The information is based on a press release statement from HPE. In other recent news, Hewlett Packard Enterprise (HPE) has reported strong quarterly results, surpassing consensus revenue and non-GAAP EPS estimates for the fiscal second quarter of 2026. Sales experienced double-digit annual growth, while non-GAAP EPS saw a triple-digit increase. As a result, Argus raised its price target for HPE to $70, maintaining a Buy rating due to the company's momentum in artificial intelligence. In addition, UBS adjusted its price target to $65, noting strong demand for enterprise and traditional server products, which contributed to better-than-expected fiscal 2026 guidance. Piper Sandler also increased its price target to $63, highlighting robust supply-demand dynamics in the server market. Furthermore, HPE has expanded its quantum computing partnerships with eight firms, including Intel and Rigetti, to integrate high-performance and quantum computing systems. Lastly, Sky Co., Ltd. successfully deployed HPE's Private Cloud AI solution within a month, enhancing AI-driven development while ensuring data governance. These recent developments demonstrate HPE's continued progress in both AI and quantum computing sectors. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.