HPE Unveils GreenLake Intelligence: Agentic AI Framework for IT Operations

HPE Discover: All in on agentic AI

HPE Discover 2025 In another sign that AI agents have taken over the enterprise zeitgeist, the theme at HPE Discover this year is all about cramming the automated workflow bots anywhere they'll fit, whether or not agentic AI is mature for all use cases. While hardware was a focus as always, the standout item from HPE CEO Antonio Neri's Las Vegas keynote was GreenLake Intelligence, a "new agentic AI framework" that, per the company itself, means adding agentic AI pretty much everywhere it could feasibly find a niche. As explained by HPE, the GreenLake Intelligence framework is designed to serve as a single point of agentic AI contact across HPE's various systems, all managed from the central HPE Greenlake hybrid cloud platform. A number of examples were given during the keynote, and in briefings surrounding the announcement. Those include things like networking, where HP's Aruba products will see the incorporation of "new agentic mesh technology" that will be nestled behind a "multi-modal, conversational networking copilot" able to do root-cause analysis of networking problems and use a variety of different reasoning agents to figure out how humans need to fix problems it finds. Agents will also be coming to OpsRamp, storage management, and other areas, where they'll be used to automate things like cost operations, sustainability and business services as well, according to HPE. For those hoping that the addition of agentic AI across HPE's hybrid stack means agents are finally good enough to take action without human oversight, sorry - despite years of promising that AI would soon be able to take over all that legwork, we're still not quite there. HPE describes GreenLake Intelligence agents as "autonomous" in all the literature from this week's event, but they also explained that humans will remain in the loop to make a final call. Autonomous, but deferential, in other words. When asked about actual autonomy for its AI agents, HPE SVP and GM for cloud and OpsRamp Varma Kunaparaju told The Register that these things take time, but that's no reason to postpone the agentic future. "A few use cases which are very well-defined are autonomous," Kunaparaju explained. Fixing a network bug, or addressing a storage snafu - basically anything that exists in a tightly controlled single domain is already there, Kunaparaju said. Beyond that things get fuzzier. "But if you broadly apply a probable root cause to go in and self-remediate, I would say it is a crawl-walk-run journey," the OpsRamp chief said. "We're still crawling and doing a little bit of walking." Getting there won't be instantaneous, Kunaparaju told us, but he thinks the next year will bring considerable AI agent autonomy advances - the world was barely talking about AI agents at all a year ago, after all. "Making the entire enterprise run autonomously is a journey," Kunaparaju said. "Systems need to evolve, processes need to evolve and implementation sophistication needs to come where these systems can be integrated to fully achieve the efficiencies that AI can drive." The software will get there, Kunaparaju said, but hardware is already where it needs to be to enable future AI efficiencies - so build it, in other words, and the AI you're dreaming of will come sooner or later. HPE is a hardware company at its heart, and there were announcements about new physical systems at this week's event, too. New systems took a backseat to AI, though, with all the hardware announcements being made in the service of furthering artificial intelligence products. New HPE Compute Cray XD690 systems, able to support eight Nvidia Blackwell GPUs were announced, as were new Blackwell-fitted ProLiant systems, all as part of HPE's expanded Nvidia AI factory (all-in-one software and hardware stacks offered by Nvidia for training AI on a company's data) alliance. HPE and Nvidia have been working together since last year to offer Nvidia AI factories on HPE hardware, and this year it's just more of the same. Whereas 2024 saw Nvidia AI factories from HPE only available for enterprise customers using the HPE Private AI cloud, now there is a "composable" service tier for service providers and companies operating at scale, and a "sovereign" tier for governments and other customers with enhanced data security and sovereignty requirements. There were other small announcements as well, but they're even less deserving of a formal footnote than the new Nvidia-driven, AI-first hardware. If last year's theme at Discover was HPE's boarding of Nvidia's hype train, then this year was just a quick stop before going full steam ahead toward pushing the world to embrace agentic AI, ready or not. ®

HPE Discover attendees express wait-and-see on agentic AI

But like cloud computing and digital transformation, this may be a buzzword they can't ignore forever HPE Discover 2025 HPE envisions a future where customer systems are filled with its agentic AI products, but reactions from the HPE Discover show floor in Las Vegas this week suggest the company has a way to go to convince folks to buy in. We spoke to a number of HPE customers following CEO Antonio Neri's agentic AI-focused keynote, and while we found plenty who were enthusiastic about the potential future of agentic AI, their enthusiasm was tempered by a nearly universal desire not to be the first ones to try it. For those not familiar with agentic AI, it's currently the official Next Big Thing in the AI revolution. Rather than just being able to gather data and respond like your typical LLM chatbot, AI agents are basically souped-up workflow bots. They can autonomously perform most actions where a root cause analysis requires a specific action, for example, with humans in the loop now optional. As one healthcare tech professional told us, agentic AI shows promise, but not enough to warrant experimenting with it now, especially not in the healthcare industry, with its many data privacy rules hovering over the shoulders of technology teams. "Many businesses have the availability to begin adoption and testing," Joseph Gravish, an IT professional with life sciences firm Eversana, told us from the show floor. "For other use cases like healthcare, it's not complete or finished in a wrapped-up way businesses can adopt." Privacy concerns were echoed by others we spoke to from various industries - even tech professionals in the marketing space told us they were worried that agentic AI, autonomous or not, wasn't going to be a good fit for their organizations. Part of that, HPE customers shared, had to do with a lack of explanation of data privacy rules - they might not be dealing with the Health Insurance Portability and Accountability Act (HIPAA), but customers still have an expectation that proprietary data isn't being fed into a third-party AI. Many of us are sitting on the sidelines and waiting to see full functionality We also asked attendees whether they'd heard enough from their fellow tech professionals to get a sense of a broader opinion on the agentic AI announcements. As with what we heard directly, most said the scuttlebutt was generally optimistic, but still with a consistent wait-and-see attitude. "I think the general sentiment from everybody is that it's going in the right direction," Gravish told us. "But many of us are sitting on the sidelines and waiting to see full functionality." While some aspects of HPE's agentic AI vision - like plugging it into the company's entire software stack - are still coming soon, that's not the case for its Aruba networking agent automation, executives claimed during the event. Unsurprisingly, of the people we spoke to at the show, network engineers were the most gung-ho about HPE's agentic AI announcements. One network engineer, who works in the education sector in the UK and asked not to be named in this article, told us that the Aruba announcements came at the perfect time - his organization is in the midst of a tech refresh, and those AI agents sound lovely, thank you very much. His team plans to make extensive use of Aruba Central AI agents, and he expressed a belief that the technology is mature and ready for network operations. Outside the networking space, he added, it's a different animal entirely. In other words, HPE can be happy that its announcements pleased Aruba customers, but it might be pushing too hard, too fast for other buyers. "The market is hungry for agentic transformation," senior AI practice director Mike Trojecki from infrastructure firm World Wide Technology said during the HPE Discover partner growth summit. But Trojecki also admitted that HPE is still working to develop next-generation AI use cases for its customers. Speaking to reporters at a press briefing after the keynote, Neri said that HPE customers are not embracing the potential benefits of AI because they're unwilling to fail. That's easy for Neri to say when he's not the one whose company is on the line by deploying an AI that could accidentally expose sensitive customer data, or cause more headaches than it resolved, but some others agree. The question customers should be asking is how quickly and expertly can they embed AI and agentic AI into their business processes to improve overall customer experience before their competitors overshadow them Cyndi Privett, owner and principal analyst at channel analytics firm Viewpoint Research, told us in a conversation at Discover that those waiting to see results come in risk of being left behind. "The question customers should be asking is how quickly and expertly can they embed AI and agentic AI into their business processes to improve overall customer experience before their competitors overshadow them," Privett told us. If that sounds familiar, you've probably been around long enough to have seen the beginning of the cloud era, or maybe the earliest stages of the digital transformation years. Feel free to insert your own adapt-or-die moments from the past few decades. Doubting the need to be an early adopter is fair, but we only need to look back to the COVID-19 pandemic to see how different tech adoption philosophies shook out, Privett explained. "In March 2020, businesses around the world had to pivot to a more digital presence almost overnight and those that had invested early in digital storefronts and ecommerce were ready," Privett said. As was the case five years ago, early movers are going to have the advantage, regardless of whether we face another sudden need to adapt. "Partners and customers that are skilled and invested in AI practices and deploying agents will be positioned to harness the opportunity 2025 and 2026 presents," Privett predicted. "If they don't they will be left behind quickly." That may not be enough to convince the many HPE customers who were less than impressed at the current state of the company's agentic AI offerings. However, when put in the context of all the other agentic AI buzz in the first half of 2025, skepticism may not matter: Yet another OEM has spoken, and AI agents are going to be everywhere soon enough. World-altering event or not, the enterprise space may be rapidly approaching another adapt-or-die moment. ®

HPE's GreenLake intelligence brings agentic AI to IT operations

In case you haven't heard, GenAI is old news. Now, it's all about agentic AI. At least, that certainly seems to be the theme based on the latest announcements from the major tech industry vendors. All of them are focused on driving the story of more autonomous actions enabled by AI. That said, there's still a tremendous amount of activity and advancement happening in the "traditional" era of generative AI - particularly around integrating the technology into businesses and their internal IT operations. To its credit, HPE was among the first to actively discuss and demonstrate the potential for running GenAI-powered applications within the confines of a corporate data center or private cloud. At last year's Discover event, the company unveiled Private Cloud AI, offering organizations the ability to build solutions on their own GPU-equipped servers. At this year's show, HPE showed real-world progress in those applications, and took the next step toward enabling AI-powered agents as part of those solutions. Built on a framework the company calls GreenLake Intelligence, HPE introduced a suite of multi-part agents that can automate a wide range of IT operations, including storage, networking, configuration, observability, and more. In fact, the company delivered one of the most compelling and comprehensive stories around agent-based IT development I've seen from any vendor. HPE emphasized that these systems are still designed to keep humans in the loop, a key consideration given how impactful autonomous agents could become. Building on the company's long-established GreenLake private cloud platform, GreenLake Intelligence leverages both LLMs and traditional machine learning models trained specifically to address IT-related issues using decades of data HPE has accumulated. A new chatbot-style GreenLake Copilot interface sits on top of these models, allowing IT professionals to ask questions, troubleshoot issues, and explore solutions in plain English. From FinOps and workload optimization to sustainability metrics and network troubleshooting, the goal is to simplify the complexity IT teams face every day. All GreenLake Intelligence offerings begin with the concept of a multi-agent orchestrator, which manages a variety of more task- or content-specific sub-agents capable of identifying issues or walking through processes. These tools can provide step-by-step guidance on resolving issues, performing tasks, or even do them on their own in an autonomous fashion (again, with human confirmation if desired). A strong example is HPE's Aruba Central network management application, which uses its own version of the GreenLake Copilot interface. It can quickly detect and help resolve complex problems using AI and ML model data accessed through what HPE calls an agentic mesh. Like other GreenLake Intelligence services, it can also generate visual dashboards from incoming log data, making it easier to spot potential issues in real time. Another key part of HPE's updated portfolio is its new CloudOps software suite, which combines an enhanced version of the OpsRamp observability platform, Morpheus virtualization and cloud management tools, and Zerto data management and security software. OpsRamp, in particular, now features expanded GenAI-powered capabilities designed to monitor, manage, and fix various components of an organization's IT infrastructure, including compute, storage, and networking. Of course, figuring out exactly what tools and infrastructure to adopt can be challenging for many organizations. To help, HPE also introduced an upgraded CloudPhysics Plus assessment tool to aid companies in planning their migration to more modern hybrid and AI-powered operations. Beyond software and services, HPE also debuted a series of new hardware offerings at Discover, including additions to its ProLiant Gen12 line using AMD's latest Epyc CPUs. That's great news for companies looking for greater choice in CPU suppliers. Building on last year's launch of Nvidia GPU-equipped servers for Private Cloud AI, HPE also introduced the second generation of its AI factories, including systems featuring Nvidia's new Blackwell RTX Pro 6000 GPUs - designed specifically for enterprise AI use cases. Notably, the company confirmed that these new systems are backward- and forward-compatible, meaning they can work alongside both first-generation models and future releases. HPE also announced that its OpsRamp software is now certified for use with any Nvidia AI Factory-based compute system, including those made by competitors. On the storage side, HPE unveiled the Alletra Storage MP X10000 system, designed specifically for AI workloads. The all-flash, software-defined device integrates with GreenLake platform tools to manage the large data sets required for AI, and can be optimized through GreenLake Intelligence. One especially interesting feature of the MP X10000 is its built-in support for MCP (Media Context Protocol) servers, which allow it to communicate across the entire IT stack - including servers, networks, observability tools, storage components, and more. MCP is rapidly gaining adoption as a standard for enabling connections between LLMs and digital agent platforms, so it's encouraging to see HPE proactively embracing it. Taken as a whole, the Discover announcements show HPE is focused squarely on the future. At the same time, the company balanced that vision with a pragmatic message, highlighting the efficiency and performance gains organizations can realize by upgrading aging infrastructure. That may not be as flashy, but it reflects the reality of today's mixed IT environments. Looking ahead, the agentic vision for IT that HPE presented at Discover is undeniably compelling, but it's important to remember that we're still very much in the early stages of AgenticOps. For most organizations it's likely going to be a multi-year process to reach that vision, but it's great for companies to have a roadmap towards where they need to go. Bob O'Donnell is the founder and chief analyst of TECHnalysis Research, LLC a technology consulting firm that provides strategic consulting and market research services to the technology industry and professional financial community. You can follow him on X @bobodtech

HPE goes full stack with AI factories, agentic ops and cloud software suite - SiliconANGLE

HPE goes full stack with AI factories, agentic ops and cloud software suite Hewlett Packard Enterprise Co.'s theme for this week's Discover event in Las Vegas could be that artificial intelligence isn't an application but a factory. And it wants enterprises to believe it has all the right parts to build it. In a sprawling slate of announcements that spans everything from private clouds to sovereign-scale infrastructure and storage, HPE today will reveal its latest strategy to help enterprises, service providers and governments simplify and scale up AI development. The company is betting on what it calls "AI factories," which are modular, repeatable systems that handle the entire AI lifecycle from data ingestion to model deployment. Today's announcements are highlighted by a partnership with Nvidia Corp., whose Chief Executive Jensen Huang also loves the "factory" term, and an agentic AI framework for hybrid clouds. The flagship in HPE's new portfolio is Private Cloud AI, a turnkey stack based on HPE ProLiant Compute Gen12 servers outfitted with Nvidia's accelerated computing, including the new RTX Pro 6000 Blackwell GPUs. HPE said the integrated system includes a unified control plane, baked-in observability and orchestration, multitenancy, air-gapped options for security-sensitive customers, and even a try-before-you-buy program leveraging Equinix Inc. data centers. "In the rush to gen AI, companies are realizing they don't just need [graphic processing units], they need governance, observability, orchestration and repeatability," said Cheri Williams, senior vice president and general manager of HPE private cloud and Flex solutions. "Our Private Cloud AI system delivers all of that, with investment protection for future GPU generations." The company said its federated architecture sets Private Cloud AI apart. Enterprises can pool GPUs across generations to scale capacity without stranding older hardware or getting trapped in a single vendor's upgrade cycle. The pitch is to build once and scale endlessly. HPE is also unveiling composable AI factories for hyperscale model builders, service providers and sovereign governments. The company defines composable architecture as an infrastructure model where computing, storage and networking are abstracted from the underlying hardware and managed through software. Custom configurations are based on validated Nvidia AI Factory designs, with Blackwell Ultra GPUs, BlueField-3 data processing units, AI-focused Spectrum-X Ethernet and direct-to-chip liquid cooling. "Governments and national labs are investing heavily in their own AI infrastructure -- not just for competitiveness, but for sovereignty," said Trish Damkroger, senior vice president of HPE's high-performance computing and AI business. "We're helping them stand up full-stack factories that meet stringent governance and compliance needs." These factories include everything from infrastructure to orchestration software to support industry-specific workloads. HPE's service arm bundles in global deployment, training and full lifecycle support. GreenLake Intelligence is HPE's new agentic AI framework designed to automate hybrid IT operations using domain-specific AI agents. The pitch is for AI going beyond observing infrastructure to fixing it. "This is the third wave of AIOps," said Varma Kunaparaju, general manager of Cloud Platform and OpsRamp, referring to machine learning and analytics to automate operations like detecting, diagnosing and resolving issues across infrastructure, applications and networks. "The first wave filtered alerts. The second added natural language copilots. This third wave is about agents that reason, plan and act." GreenLake Intelligence is built around a multi-agent orchestrator that delegates tasks to specialized sub-agents trained on computing, storage, networking or application telemetry. The agents diagnose, simulate solutions and propose or even apply fixes. "It's like having a network engineer who doesn't sleep, doesn't take coffee breaks, and always documents their thinking," said David Hughes, chief product officer of Aruba Networking at HPE. HPE is incorporating new agentic mesh technology into its Aruba Networking Central cloud-scale network management system. Using a multimodal, conversational networking copilot, Aruba Networking Central can provide precise root-cause analysis and guided or automated remediation for complex network and security issues. HPE said the enhancementd are powered by an array of network-specific reasoning agents leveraging a collection of models tuned for security-first, AI-powered networking. To aid in feeding AI workloads with the right data, HPE is announcing the Alletra Storage MP X10000 array equipped with support for Model Context Protocol servers. It includes AI-native capabilities like vector data indexing, real-time metadata enrichment and integration with agentic control planes. "This isn't just storage -- it's a data fabric that understands what your AI agents are trying to do," said Williams. "It turns unstructured data into context-rich input that AI agents can use to reason and act." The system combines block, file and object storage with AI-native pipelines to support continuous learning and inference with integration into AI factories. HPE is expanding its Unleash AI program with 26 new partners and more than 75 validated use cases. They range from enterprise-class retrieval-augmented generation and fraud detection to smart city analytics and sovereign AI deployments. The company said it pairs infrastructure with proven blueprints to cut down the deployment time that follows big infrastructure investments. HPE is using the AI factories internally to automate spend management, contract analysis and procurement through a partnership with Accenture PLC's AI Refinery. "The goal is to make generative AI adoption repeatable and predictable," said Russo. "With curated use cases and tested frameworks, we're taking the guesswork out of AI." HPE is also bundling its Morpheus orchestration, OpsRamp observability and Zerto data protection software into a single CloudOps suite, available as part of a new program called "cloud commit" that includes 0% APR financing for a limited time. "AI adoption is being held back by budget cycles and technical debt," said Marc Waters, senior vice president of services. "We're giving customers a way to modernize incrementally, with support across day -1 to day 2+," a term that spans the deployment cycle from planning and designing to ongoing operations. CloudPhysics Plus, an analytics platform that improves information technology performance, return on investment, and data protection, is also getting an upgrade to support hybrid and multicloud modernization assessments across virtual machines, bare metal, Kubernetes and public cloud. Channel partners can offer it as a free assessment to help customers map out their hybrid AI strategy.

HPE CEO Antonio Neri: GreenLake Intelligence Brings 'Agentic AI Admin Workforce' To Life

'We are moving beyond AI that simply analyzes or recommends toward a new intelligent agentic AI admin workforce,' says Neri. 'These AI admins will continuously optimize your infrastructure and resolve issues, helping you save both time and cost.' Hewlett Packard Enterprise President and CEO Antonio Neri Tuesday told thousands of partners and customers that the GreenLake Intelligence agentic AI framework is set to unleash a new era of agentic AI admins that will proactively resolve IT issues and optimize infrastructure. "We are moving beyond AI that simply analyzes or recommends toward a new intelligent agentic AI admin workforce," said Neri in an HPE Discover keynote address at the futuristic Sphere venue in Las Vegas. "These AI admins will continuously optimize your infrastructure and resolve issues, helping you save both time and cost." Neri described GreenLake Intelligence as designed to "dramatically simplify" how customers manage and run IT operations. "This is like having extra admins each tuned to a specific part of your IT," he said. "GreenLake Intelligence is built on a mesh of intelligent agents that collaborate, work and act with context across your entire hybrid IT estate." The GreenLake Intelligence admins are powered by domain-specific large language models "fine-tuned using insight from years of HPE telemetry logs, configuration and support data, spanning trillions of data points," said Neri. "They understand the language of enterprise IT." The GreenLake Intelligence framework provides native support for the Model Context Protocol, which allows the agents to share learnings across all of the IT domains. "When an issue arises, your AI agents reason across that entire IT stack and alert the right person with the full data and insight of what's happening, then they propose a fix and even act while keeping you informed. This is not just surface-level automation. It is deep systemwide-level intelligence grounded in full-stack control of compute, storage, networking and software." HPE said GreenLake Intelligence will be delivered through ongoing innovation, starting with the GreenLake Copilot beta, which will be available in the third quarter (July 1 to Sept. 30). Among the other pieces that make up the agentic AI Admin workforce offensive are HPE Aruba Networking Central with agentic mesh, which will be available starting in the third quarter of 2025; the HPE Alletra Storage MP X10000 with Model Context Protocol support planned for the second half of this year; and new enhancements to the HPE OpsRamp AI-powered IT operations platform, which will be available in the fourth quarter. Also coming in the fourth quarter are a new HPE CloudPhysics Plus assessment tool designed to provide automated recommendations for workload costs and optimization, and the HPE CloudOps Software suite, bringing together OpsRamp, HPE Morpheus Enterprise Software and HPE Zerto Software. Neri said he sees a bright future for how agentic AI will forever change the IT landscape. "What excites me the most is this is just the beginning," he said. "You need help identifying and resolving network issues, your networking AI admin takes the lead. You need more storage capacity and better IOPS [input output operations per second], your storage AI admin will take care of it. If you want to get your cloud costs under control, your FinOps AI admin will help you right-size and consolidate." As for HPE partners, Neri said the GreenLake Intelligence framework opens the door for them to build their own AI agents to "deliver differentiated AI-powered services and scale your value" with customers. HPE partners, for their part, said they see HPE taking the lead in the race to build agentic AI solutions that will dramatically reduce the cost of IT operations in a multi-vendor, multi-cloud hybrid world. Patrick Shelley, CTO at PKA Technologies, a Montvale, N.J., solution provider, said he was "blown away" by the GreenLake Intelligence agentic AI Admin model. "This is a huge breakthrough," said Shelley. "This makes HPE the leader in the agentic AI era. The competitors talk about having platforms for agentic AI. HPE is the only one showing you how they are integrating it into their product lines and what you can do with it." To that point, Shelley said the ability to incorporate agentic mesh technology into the Aruba networking platform is poised to save network admins "days and hours" trying to determine where the precise problem is that is causing network issues. A key differentiator for HPE, said Shelley, is the ability to provide the agentic AI framework across the complete networking, storage and compute stack. "The reason that HPE is ahead in agentic AI and bringing it all together is because they have the network, storage and compute," he said. "The HPE competitors are going to have to figure out how they do that." Shelley complimented Neri as a visionary thought leader who has "put all the pieces" of the agentic AI puzzle together before competitors. "It's exciting to be able to bring this to our customers and show them that HPE is at the forefront of agentic AI, implementing it throughout their entire portfolio. It is going to be exciting to see where it goes." Michael Maher, director of professional services at CPP Associates, Clinton, N.J., one of HPE's top GreenLake partners, said GreenLake Intelligence is going to open the door for customers to "propel their businesses forward" to greater profitability. "This is going to mean reduced time to market and improved intelligence around their own data and analytics," he said. "It's going to allow them to take information that was stale and stagnant and reconstitute it and repurpose it in meaningful ways. It's going to allow them to grow and be more competitive in their own market spaces. For us, we get to facilitate that, which means we get to know our customers better and understand their businesses better. It is going to allow us to help them more completely and thoroughly in every step of the process." Maher said he sees the GreenLake Intelligence platform as a "revolutionary" step forward for IT. "What you are going to see as a result of this is a massive reinvestment in the business with companies upskilling their team members to take it to the next level. You are now going to have top-level talent internally helping these businesses move faster in their markets." Maher said he sees IT leaders working closely with the agentic AI admins so with "proper intelligence" they can apply a "fix" for IT issues. "This is a shift in how customers are going to do business," he said. "The net benefit to the customer is going to be able to reinvest not just dollars but human capital and talent in a way that is going to drive more innovation for their own businesses." Maher said he was excited to see the Alletra MP 10000 emerge as a data-centric AI agent platform. "This makes Alletra MP massively more attractive," he said. "It takes the fear out of trying AI. This expands accessibility to AI in a way nobody else has thought of." As for the HPE agentic AI innovation, Maher said: "HPE is not keeping pace -- they are leading the race."

HPE's New GreenLake Intelligence Agentic AI Framework: What You Need To Know

HPE's new GreenLake Intelligence Agentic AI framework brings to life a new era of AI- powered agentic assistants aimed at forever changing IT operations with autonomous, self-learning agentic AI assistants that "fix" IT issues faster across the full multi-cloud, multi-vendor hybrid cloud stack, said HPE Senior Vice President and General Manager of OpsRamp Software and Cloud Platforms Varma Kunaparaju. "Ultimately, the goal here is being able to reason and understand in a multi-vendor, multi-cloud, full-stack context to be able to deliver the intelligence that is needed," said Kunaparaju in a press conference unveiling the new platform. "The unique, highly differentiated HPE IP in this area is not only being able to deliver this across the HPE stack but being able to address the other vendors' and multi-cloud estates of every enterprise application." In fact, GreenLake Intelligence captures "live telemetry" from customer IT environments and combines it with HPE's "deep domain knowledge across compute, networking, storage and the full software application stack," said Kunaparaju. "Unless one understands the full stack from application all the way to the infrastructure, then the ability to really do this intelligence does not exist," he said. "That is where we are bringing individual domain-specific, agentic protocol-driven outcomes combined with the intelligence that we are bringing across multiple domains." The GreenLake Intelligence platform is built to assist IT teams at every stage of IT operations from "simplified on-boarding" and orchestration to IT optimization, said Kunaparaju. "The goal ultimately is very simple," he said. "Our design with GreenLake Intelligence is to help customers fix issues faster, prevent failures earlier, shift focus to innovation and ultimately to deliver business outcomes that [IT teams] are expected to deliver." HPE is leveraging the orchestration automation platform that it gained from its acquisition of Morpheus in August 2024 and the AIOps platform it gained from its purchase of OpsRamp in March 2023. "All those technologies are multi-vendor, multi-cloud assets where we have real data," said Kunaparaju, the former founder and CEO of OpsRamp who joined HPE with the acquisition of OpsRamp. "Today we collect about 20 trillion metrics across the globe." GreenLake Intelligence thus is being powered by the "raw data that we collect, and we basically analyze the data utilizing all the advances that took place with GenAI and more importantly customizable foundational models that we fine-tuned," said Kunaparaju. Ultimately, the GreenLake Intelligence platform will result in "faster detection and remediation" of IT issues powered by "insights that are difficult or impossible for humans to extract on their own," said Kunaparaju. Among the use cases cited by HPE is the use of GreenLake Intelligence to make "judgement calls" to optimize workload cost and performance, said Kunaparaju. HPE is demonstrating an operations command center capability that leverages "full-stack observability data" to determine the precise root cause of an IT issue -- essentially a 'needle in a haystack' -- and then follow it up with actual remediation" of the problem, said Kunaparaju. "These outcomes ultimately drive the productivity, the efficiency and the ability to make the enterprise act and give the business outcomes the lines of business are expecting from IT," said Kunaparaju. "This is not a black box in terms of GreenLake Intelligence. This is accountable, expandable and explainable reasoning that [IT] teams can trust and deliver."

Partners: HPE GreenLake Intelligence Ushers In A New Era Of 'Transformative' Agentic AI Solutions

'GreenLake Intelligence agentic AI with HPE Private Cloud AI is going to dramatically increase the potential for huge productivity gains,' said Dan Molina, co-president and CTO of Nth Generation. 'This is a seminal moment for HPE.' Hewlett Packard Enterprise's GreenLake Intelligence is an agentic AI game-changer that ushers in a new era of "transformative" agentic AI solutions designed to reduce costs and drive IT efficiencies for businesses of all sizes, said HPE partners. "GreenLake Intelligence agentic AI with HPE Private Cloud AI is going to dramatically increase the potential for huge productivity gains," said Dan Molina, co-president and CTO of Nth Generation, San Diego, No. 307 on the 2025 CRN Solution Provider 500. "This is a seminal moment for HPE. We've been working with AI for the last 10-plus years. AI is a transformative technology that has changed society as we know it. Agentic AI is another transformative technology that will accelerate the adoption of AI by businesses." In fact, Molina said, agentic AI promises to be the next transformative technology that reshapes the IT landscape. "HPE is the heart of the hybrid cloud with leading networking edge-to-cloud solutions so it makes total sense that they are leveraging the power of agentic AI to deliver better business outcomes," he said. "Once this is deployed and implemented, the outcome should be unprecedented efficiency and effectiveness that will allow IT to do more with the same staff." GreenLake Intelligence effectively will open the door for customers to drive more efficiency with a better total ROI from the IT products and services they adopt, including in cybersecurity, said Molina. "I am so glad that HPE is releasing this agentic AI platform and vision," he said. "Often we see customers make IT investments where they do not fully take advantage of all those capabilities. Now with an agentic AI platform like GreenLake Intelligence customers can take advantage of agentic AI models that are like subject matter experts to drive more efficiency. This is going to take time, but once it is fully deployed and implemented it will unlock tremendous productivity." HPE believes it can reduce data center costs by as much as 70 percent by leveraging GreenLake Intelligence and a number of recent HPE "innovations," said HPE Vice President of AI, Security and Networking Product Marketing Larry Lunetta. "Other vendors are going to talk about their solutions in a variety of ways," said Lunetta. "What is profound about GreenLake Intelligence is we are the only vendor that can deliver the entire IT estate with an agentic framework. If you look at all the other vendors, they are missing networking. They are missing servers. They are missing storage. We have it all. That is where the breakthrough is. That is where this is going to really make the difference in the industry." C.R. Howdyshell, CEO of Independence, Ohio-based Advizex, No. 129 on the 2025 CRN Solution Provider 500, a Fulcrum IT Partners company, said he expects GreenLake Intelligence to drive faster AI adoption by companies. "We are excited about the possibilities with GreenLake Intelligence," he said. "It's at the heart of what we are doing to help customers move faster with AI. We are already working with Nvidia and Fulcrum on these agentic AI solutions with other tools." Bob Panos, president of American Digital, Schaumburg, Ill., No. 329 on the 2025 CRN Solution Provider 500, said American Digital is going "all in" with GreenLake Intelligence to drive AI breakthroughs with HPE and Nvidia. "This is going to show customers there is a ton more value with HPE and American Digital providing agentic AI solutions," he said. "We see a lot of growth potential with AI." American Digital, in fact, is working on one of the first HPE GreenLake Private Cloud AI deals with a manufacturing company, said Panos. He said the deal is with a longtime American Digital customer that relies on his company as a trusted adviser. "It all comes back to the relationship," he said. "When you build a relationship, everything else comes after that. It's like building a foundation." Pat O'Dell, managing partner at Clinton, N.J.-based CPP Associates, one of HPE's top enterprise partners, said he sees GreenLake Intelligence as one more example of HPE President and CEO Antonio Neri's vision that is powering the company and its partners into the AI era. "This shows more thought leadership by Antonio and his team," said O'Dell. "We're very bullish on GreenLake Intelligence. We like that HPE is breaking new ground and is at the forefront of agentic AI." Rob Schaeffer, president and CRO of e360, a top HPE partner based in Concord, Calif., No. 138 on the 2025 CRN Solution Provider 500, said he is looking forward to seeing GreenLake Intelligence and other HPE innovations at HPE Discover. "HPE has always provided amazing innovation," he said "It goes back to the HP Invent legacy. HPE at its core is an engineering company. We've always looked to HPE to provide the next big thing that is going to make a difference in the marketplace. I am looking forward to the next generation and transformational innovation from HPE." Dan O'Brien, chief solutions officer at New York-based Presidio, No. 24 on the 2025 CRN Solution Provider 500, said agentic AI offerings like GreenLake Intelligence address the biggest issue facing customers: the limited resources they have with IT personnel and the costs associated with them to deliver business outcomes. "The winner is going to be the first person that can come to market and demonstrate it is working," he said of the new era of enterprise agentic AI solutions.