HPE Expands Scalable Production-Ready AI Through New Innovations With NVIDIA

HPE is expanding the NVIDIA AI Computing by HPE portfolio, redefining how enterprises deploy, operationalize, and scale AI.

Through its deep partnership and co-engineering with NVIDIA, HPE delivers an advanced portfolio of integrated and validated systems that speed time to value for AI while addressing scale, security, and governance requirements, the company said.

“The AI race is fundamentally about speed, scale, and trust,” said Antonio Neri, president and CEO, HPE. “Our industry leadership across cloud, networking, and AI enables organizations to operationalize AI securely, efficiently, and at an unprecedented scale. Together with NVIDIA, HPE delivers turnkey AI factories and networks that transform AI ambitions into real enterprise value.”

HPE is expanding HPE Private Cloud AI, its turnkey enterprise AI factory co-engineered with NVIDIA, to deliver greater performance, scalability, and flexibility for enterprise inferencing.

Industry leaders such as the Ryder Cup, Danfoss, and the Dallas Cowboys are leveraging HPE Private Cloud AI to accelerate transformative AI initiatives across their organizations.

New network expansion racks enable HPE Private Cloud AI deployments to scale up to 128 GPUs for customers to run larger, more demanding AI workloads with the same consistent operational experience.

To meet increasing demand for secure, fully isolated or sovereign deployments, the large HPE Private Cloud AI system is now available in an air-gapped configuration, ensuring sensitive data is not exposed to external networks, according to HPE.

CrowdStrike delivers agentic security for HPE Private Cloud AI, providing AI-powered threat detection and response to protect AI infrastructure, models and the AI agents operating across enterprise environments, enabling organizations to operationalize agentic AI securely and at scale.

HPE Private Cloud AI delivers a pre-configured hardware and software stack featuring the latest NVIDIA AI Enterprise software and blueprints, including the updated NVIDIA AI-Q blueprint for AI agents and new NVIDIA Omniverse blueprint for digital twins. The latest NVIDIA AI-Q blueprint enables developers to build fully customizable AI agents that they own, inspect and control.

NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are available across all configurations of HPE Private Cloud AI and HPE’s AI factory solutions.

New NVIDIA co-designed multi-workload solutions simplify deployment of AI use cases for autonomous edge intelligence, retail shopping assistance, video search and summarization, biomedical research.

In separate announcements at NVIDIA GTC, HPE is also introducing networking solutions focused on enabling service providers, sovereigns, and large enterprises to connect distributed AI deployments using HPE Juniper Networking routers along with coherent optics.

HPE also expanded its at-scale and sovereign AI factories for service providers, sovereigns, and large enterprises, along with a new generation of systems built on the NVIDIA Vera Rubin architecture and designed to run the most demanding AI workloads.

To further expand the collaboration with NVIDIA, HPE will be supporting the new NVIDIA STX rack-scale reference architecture to develop new AI storage solutions powered by NVIDIA Vera Rubin, BlueField-4, Spectrum-X networking, Connect-X NICs, and NVIDIA AI software.

HPE Services is offering a new agents hub to ensure structured and scalable enterprise adoption of agentic AI. Within the hub, HPE is developing and validating agents powered by NVIDIA Nemotron models to establish reusable patterns to helps organizations adopt and operationalize intelligent agents.

“NVIDIA and HPE are setting a new standard for enterprise AI infrastructure,” said Jensen Huang, founder and CEO, NVIDIA. “HPE’s leadership across private cloud, networking, and secure on-prem systems uniquely positions them to make AI a core enterprise capability. Together, we are building AI factories and AI grids—foundational infrastructure to embed intelligence into every workflow.”

For more information about this news, visit www.hpe.com.