Hewlett Packard Enterprise (HPE) has announced a series of updates to its HPE AI Factory with Nvidia portfolio, aiming to support enterprises in deploying increasingly autonomous AI in hybrid and highly regulated environments.
The company revealed that these enhancements are designed to offer improved control over performance, data access and security as organisations scale up AI use across sectors.
The HPE AI Factory with Nvidia integrates AI models, data, infrastructure, and workflows to help companies manage AI operations and maintain governance.
HPE private cloud and flex solutions senior vice president and general manager Cheri Williams said: “AI agents are becoming an essential part of how enterprises operate and create value.
“As organisations deploy AI across industries and increasingly sensitive environments, they need infrastructure that gives them greater control over security, sovereignty, and how enterprise data is accessed and used.
“We’re helping customers scale AI across hybrid environments while maintaining the governance and operational control required to move from experimentation to production.”
A key part of this update is the expansion of HPE Private Cloud AI, which now includes additional features under HPE AI Essentials.
The company said these features are intended to make secure access and integration of enterprise AI services more accessible to developers, software vendors and AI agents.
According to HPE, the enhancements include governed APIs, versioned MCP services for “agentic AI”, OpenAPI-based development, enterprise-grade identity management, and support tailored for regulated and air-gapped deployments.
HPE is also introducing support for a broader array of AI workloads in HPE Private Cloud AI by allowing the combination of Nvidia H200 GPUs and Nvidia RTX PRO 6000 Blackwell Server Edition GPUs in a single cluster.
The open-source Nvidia KAI Scheduler is included for managing quotas and priorities, which HPE says will optimise GPU usage and workload placement.
The company announced additional infrastructure developments, such as the introduction of the Nvidia Vera CPU Rack by HPE, a high-density system purpose-built for CPU-intensive agentic AI and reinforcement learning workloads. It supports up to 256 Nvidia Vera CPUs and 22,500 sandboxes.
HPE will also support the Nvidia OpenShell Reference Architecture for Safe AI Agents, which is intended to enable secure execution and observability for autonomous agents.
The company will also back the Nvidia DSX POD reference design, aimed at reducing integration work for large-scale AI factory deployments.
HPE’s updates also address the needs of organisations requiring sovereign and regulated AI infrastructure.
The company is expanding support for Nvidia Confidential Computing on HPE ProLiant Compute DL380a Gen12 servers, which are equipped with Nvidia RTX PRO 6000 Blackwell GPUs. This aims to provide hardware-based isolation of AI workloads in sensitive environments.
Schneider Electric is among the enterprises planning to use HPE Private Cloud AI in combination with its industrial technology expertise to deploy industrial AI agents at the edge. According to the announcement, this approach aims to support operational decisions while retaining control of critical data.
In May 2026, HPE introduced autonomous networking capabilities to its HPE Mist and HPE Aruba Central platforms, enabling networks to identify, diagnose, and address operational problems in real time.
