HPE expands NVIDIA AI Computing portfolio to accelerate enterprise and government AI adoption

As global AI adoption accelerates, HPE and NVIDIA aim to address fragmented strategies and weak data governance by offering an integrated, full-stack infrastructure to help organizations deploy AI securely and efficiently

Hewlett Packard Enterprise (HPE) has expanded its NVIDIA AI Computing by HPE portfolio, unveiling new turnkey AI factory solutions, unified data strategies, and advanced server platforms. The initiative aims to make AI deployment faster, more secure, and easier to scale across enterprises, governments, and regulated industries.

The announcement comes as global AI adoption continues to accelerate. However, many organizations remain constrained by fragmented AI strategies and insufficient data management. According to HPE’s 2025 Architecting an AI Advantage report, nearly 60 percent of organizations lack cohesive AI plans and comprehensive governance frameworks. Through its strengthened partnership with NVIDIA, HPE intends to help customers overcome these challenges by offering an integrated, full-stack approach to AI infrastructure.

Driving scalable and secure AI infrastructure

Fidelma Russo, Executive Vice President and CTO at HPE, said the collaboration with NVIDIA addresses key obstacles that have slowed AI adoption. “Together with NVIDIA, we’re offering full-stack, private AI factories that simplify operations and help enterprises and governments scale AI quickly while staying compliant,” she stated.

Justin Boitano, Vice President of Enterprise Software at NVIDIA, described AI factories as the new foundation of the intelligence era — designed to generate tokens of intelligence at massive scale.

The second generation of HPE Private Cloud AI, co-developed with NVIDIA, is now available in a compact form factor to help organizations of all sizes accelerate AI implementation. It integrates HPE’s ProLiant Compute DL380a Gen12 servers with NVIDIA’s RTX PRO 6000 Blackwell Server Edition GPUs, offering up to three times better price-to-performance for enterprise workloads. The platform also supports NVIDIA’s AI Factory for Government, ensuring secure, compliant AI deployments tailored to high-assurance environments.

Advancing data governance and smart city innovation

To enhance data management, HPE announced new capabilities within its unified data layer that strengthen data governance and streamline AI pipelines. By combining HPE Data Fabric Software with HPE Alletra Storage MP X10000, the company enables intelligent, secure data access through the NVIDIA AI Data Platform. This architecture supports air-gapped environments, GPU-accelerated data transfers, and agentic AI-powered governance to ensure consistent compliance and faster insights.

HPE has also launched the HPE Agentic Smart City Solution in collaboration with the Town of Vail, NVIDIA, and SHI. The initiative aims to build AI-driven urban infrastructure for accessibility compliance, permitting, and wildfire detection, helping municipalities transition from isolated pilot projects to scalable, citywide smart systems.

Expanding the NVIDIA AI Computing by HPE portfolio

To support organizations deploying AI at scale, HPE introduced new offerings within the NVIDIA AI Computing by HPE portfolio. The new HPE ProLiant Compute XD685 supports eight NVIDIA Blackwell Ultra GPUs in a liquid-cooled chassis optimized for AI clusters, while the NVIDIA GB300 NVL72 by HPE—built for models with over one trillion parameters—is expected to ship in December 2025. Additionally, the HPE ProLiant Compute DL380 Gen12 Server Premier Solution for Azure Local enables hybrid AI innovation by allowing enterprises to run Azure services directly within their own data centers.

Future HPE servers will incorporate NVIDIA Rubin CPX and Vera Rubin CPX platforms, alongside the NVIDIA BlueField-4 DPU, which delivers 800 Gb/s throughput and advanced capabilities such as multi-tenant networking, AI runtime security, and rapid data access.

Through this expanded collaboration, HPE and NVIDIA aim to deliver end-to-end AI infrastructure that empowers enterprises, governments, and sovereign entities to deploy and manage AI more efficiently. The joint initiative marks a significant step toward building secure, compliant, and scalable AI ecosystems that drive digital transformation worldwide.