Paul Gillin
2025-06-24 12:30:00
siliconangle.com
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.
Turnkey AI stack
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.
Agents for hybrid IT
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.
AI-powered network management
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.
More partners and use cases
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.
Photo: HPE
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