HPE has announced new innovations across the HPE AI Factory with NVIDIA portfolio that help enterprises securely deploy and operate increasingly autonomous AI across hybrid and sovereign environments. HPE AI Factory with NVIDIA brings together models, infrastructure, data, and workflows to help enterprises run AI with greater control over performance and data access.
HPE has announced new innovations across the HPE AI Factory with NVIDIA portfolio for secure agentic AI.
HPE Private Cloud AI adds HPE AI Essentials capabilities, including governed APIs, first-class MCP services, OpenAPI-based development and enterprise-grade identity and governance.
HPE Private Cloud AI can now combine NVIDIA H200 GPUs and NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs within the same cluster.
The NVIDIA Vera CPU Rack by HPE offers 256 NVIDIA Vera CPUs, support for 22.5K sandboxes and 80% faster agentic CPU performance.
HPE will support the NVIDIA OpenShell Reference Architecture and NVIDIA DSX POD.
HPE is expanding support for NVIDIA Confidential Computing on HPE ProLiant Compute DL380a Gen12 servers.
"AI agents are becoming an essential part of how enterprises operate and create value," said Cheri Williams, SVP and GM, Private Cloud and Flex Solutions, HPE. "As organizations 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."
For enterprises seeking to securely develop and scale AI applications, HPE is expanding HPE Private Cloud AI with new HPE AI Essentials capabilities that make it easier for developers, independent software vendors, and AI agents to securely access, integrate and consume enterprise AI services. Through production-grade APIs and MCP servers, organizations can connect applications and autonomous agents to inference, model, and knowledge services while maintaining centralized governance, identity management, and operational control.
New capabilities include governed APIs for enterprise AI, first-class MCP services for agentic AI that are versioned and governed by role, tenant and project, OpenAPI-based development, enterprise-grade identity and governance, and support for regulated and sovereign environments including connected and air-gapped deployments.
Schneider Electric plans to combine HPE Private Cloud AI, co-engineered with NVIDIA, with its industrial and operational technology expertise to support Industrial AI Agents at the Edge, bringing intelligence closer to where operational decisions are made while maintaining control over sensitive data.
As organizations scale AI beyond individual applications, they require infrastructure that can efficiently support autonomous agents and secure execution environments. New infrastructure innovations include:
Dedicated compute for agentic AI: HPE is introducing the NVIDIA Vera CPU Rack by HPE, a high-density, liquid-cooled system for CPU-intensive agentic AI and reinforcement learning workloads.
Secure execution for autonomous agents: HPE will support the NVIDIA OpenShell Reference Architecture for Safe AI Agents, combining the NVIDIA OpenShell secure runtime on NVIDIA Vera, NVIDIA Sentry with NVIDIA BlueField-4 for hardware-based security enforcement, and NVIDIA Vera Rubin NVL72 for model inference.
Simplified AI factory deployment: HPE will also support NVIDIA DSX POD, a reference design for pre-fabricated and validated infrastructure in modular containers to reduce onsite integration work.
HPE is expanding support for NVIDIA Confidential Computing on HPE ProLiant Compute DL380a Gen12 servers equipped with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, helping organizations secure frontier AI models and protect sensitive data on sovereign infrastructure while workloads are in use.
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