HPE Expands NVIDIA AI Computing by HPE Portfolio to Power the Next Generation of AI Factories

/ AI, Application Development, Governance, GPU Computing, Infrastructure
HPE Expands NVIDIA AI Portfolio to Deliver Turnkey AI Factories

Turnkey, secure, and scalable private AI infrastructure targets governments, regulated industries, and enterprises

The News

At NVIDIA GTC DC 2025, Hewlett Packard Enterprise (HPE) announced an expanded NVIDIA AI Computing by HPE portfolio, a suite of infrastructure solutions designed to simplify, secure, and scale enterprise and government AI deployments.

The updated portfolio introduces second-generation HPE Private Cloud AI, co-developed with NVIDIA, alongside enhanced data fabric governance, GPU-optimized server platforms, and new AI factory architectures for sovereign and regulated environments. The initiative responds to findings from HPE’s Architecting an AI Advantage 2025 report, which revealed that nearly 60% of organizations struggle with fragmented AI strategies and data management challenges.

Together, HPE and NVIDIA aim to close that gap with turnkey AI factory solutions that integrate compute, storage, and data governance into unified frameworks, helping organizations deploy private, compliant, and high-performance AI infrastructure across industries.

Analyst Take

As enterprise AI moves from pilot to production, the conversation is shifting from models to infrastructure ecosystems. HPE’s latest announcement reinforces this shift by framing the AI factory as the foundational architecture of the intelligence era.

According to Fidelma Russo, HPE’s EVP and CTO, “technology must directly address the core challenges that organizations face around complex deployments and fragmented, highly sensitive data.” The new HPE-NVIDIA portfolio delivers a full-stack approach combining NVIDIA’s Blackwell architecture, AI Data Platform, and software frameworks with HPE’s ProLiant, Cray, and Data Fabric systems.

The result is a pre-engineered, modular AI factory capable of supporting multi-tenant, air-gapped, or hybrid environments, critical for governments, sovereign AI initiatives, and regulated industries. As Justin Boitano of NVIDIA described it, “AI factories are the new infrastructure of the intelligence era, built to generate tokens of intelligence at massive scale.”

HPE Private Cloud AI’s Performance and Accessibility

The second-generation HPE Private Cloud AI brings enterprise-grade AI to organizations of all sizes. Its new small form factor allows businesses to deploy AI infrastructure quickly, while the integration of NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs triples price-to-performance for enterprise AI workloads.

This generation also expands AI factory deployment to government and sovereign clients, offering air-gapped management for high-assurance and compliance-sensitive environments. The addition of AI-powered governance, powered by agentic AI, introduces a new approach for secure model-to-data interaction, aligning with the emerging Model Context Protocol (MCP) standard.

Data Without Borders: Unified, Agentic Governance

A standout component of the expanded portfolio is HPE’s unified data layer, which combines HPE Data Fabric Software with HPE Alletra Storage MP X10000. This design supports agentic AI governance, allowing models and agents to securely interact with structured and unstructured data via standardized compliance and access frameworks.

By federating data through a global namespace, HPE’s unified data layer provides “data without borders” for AI pipelines, a critical capability for organizations working across multiple regions or sovereignty domains. The system’s air-gapped management feature brings cloud-like management to offline environments, while GPU-accelerated RDMA transfers via NVIDIA S3oRDMA deliver up to 2x faster performance.

This combination of performance, compliance, and modularity gives HPE a strong position in enterprise data readiness for AI, a key differentiator as organizations struggle to operationalize unstructured data at scale.

From Smart Cities to Sovereign Clouds

HPE’s expanded portfolio is already being deployed across diverse environments, including the Town of Vail’s Smart City initiative, an agentic AI-driven platform designed to unify citywide infrastructure, from accessibility compliance to wildfire detection.

HPE’s sovereign AI factories are also being used by the University of Utah and the State of Utah to accelerate medical research and regional economic development through private, compliant AI ecosystems. These examples show HPE’s growing momentum in domain-specific AI infrastructure, particularly for public sector modernization.

Full-Stack Integration with NVIDIA

At the heart of this expansion lies the tight integration between HPE’s enterprise hardware and NVIDIA’s accelerated computing stack. Key platform enhancements include:

  • HPE ProLiant Compute XD685: Now supporting eight NVIDIA Blackwell Ultra (B300 GPUs) with direct liquid cooling and HPE’s integrated cluster management
  • NVIDIA GB300 NVL72 by HPE: Delivering exascale-level performance optimized for AI models exceeding one trillion parameters, available December 2025
  • Azure Local Integration: The HPE ProLiant DL380 Gen12 Server Premier Solution extends Azure AI services into hybrid data centers, enabling local AI and VDI workloads
  • Next-Generation Networking: Upcoming support for NVIDIA BlueField-4 DPUs and ConnectX-9 SuperNICs, providing 800 Gb/s throughput and multi-tenant networking for gigascale AI factories

By synchronizing release cycles with NVIDIA’s most advanced GPUs and interconnects, HPE ensures that enterprises can deploy validated, secure, and performance-optimized AI systems ahead of competitors.

Looking Ahead

HPE’s expanded NVIDIA AI Computing by HPE portfolio reflects a broader industry inflection point where AI is no longer confined to cloud hyperscalers. It’s becoming sovereign, distributed, and embedded across private infrastructure.

By offering turnkey, compliant AI factories and extending its unified data fabric for agentic governance, HPE is responding to enterprise needs while reshaping how AI infrastructure is operationalized. The integration of agentic frameworks, air-gapped design, and GPU-accelerated data flows puts HPE at the center of the next phase of enterprise AI modernization.

Looking forward, as governments and industries adopt AI factories as strategic assets, HPE’s ecosystem of ProLiant, Cray, and Data Fabric solutions will likely play a significant role in advancing secure, scalable, and sovereign AI development worldwide.

Key Takeaways

  • HPE expands its NVIDIA AI portfolio, introducing turnkey AI factories for enterprises, governments, and sovereign AI ecosystems.
  • HPE Private Cloud AI Gen2 boosts accessibility and performance with NVIDIA Blackwell GPUs and new air-gapped configurations.
  • Unified data fabric introduces agentic AI governance and GPU-accelerated RDMA transfers for faster, more secure data operations.
  • Smart City and sovereign deployments show real-world applications for AI-driven modernization.
  • Full-stack integration with NVIDIA ensures performance parity with hyperscale AI infrastructure while maintaining enterprise control.

Author

  • Paul Nashawaty

    Paul Nashawaty, Practice Leader and Lead Principal Analyst, specializes in application modernization across build, release and operations. With a wealth of expertise in digital transformation initiatives spanning front-end and back-end systems, he also possesses comprehensive knowledge of the underlying infrastructure ecosystem crucial for supporting modernization endeavors. With over 25 years of experience, Paul has a proven track record in implementing effective go-to-market strategies, including the identification of new market channels, the growth and cultivation of partner ecosystems, and the successful execution of strategic plans resulting in positive business outcomes for his clients.

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