HPE and NVIDIA launch AI factory solutions to boost enterprise AI adoption, offering scalable tools for faster model development and deployment.
Hewlett Packard Enterprise (HPE) has unveiled a series of advanced solutions aimed at accelerating the deployment, adoption, and lifecycle management of AI factories across diverse organizational needs. These new offerings span the entire AI lifecycle and are designed to make enterprise-scale AI more accessible and efficient.
At the core of this innovation is the expansion of the NVIDIA AI Computing by HPE portfolio, now integrated with the latest NVIDIA Blackwell GPUs. This includes composable AI factory solutions tailored for service providers, AI model developers, and sovereign institutions. The centerpiece of this expansion is the next-generation HPE Private Cloud AI—a turnkey AI infrastructure that simplifies the creation of AI-ready data centers by eliminating the need for customers to assemble complex tech stacks themselves.
“Generative, agentic, and physical AI have the potential to transform global productivity and create lasting societal change, but AI is only as good as the infrastructure and data behind it. Organizations need the data, intelligence, and vision to capture the AI opportunity and this makes getting the right IT foundation essential,” said Antonio Neri, president and CEO, at HPE. “HPE and NVIDIA are delivering the most comprehensive approach, joining industry-leading AI infrastructure and services to enable organizations to realize their ambitions and deliver sustainable business value.”
“We are entering a new industrial era — one defined by the ability to generate intelligence at scale,” said Jensen Huang, founder and CEO of NVIDIA. “Together, HPE and NVIDIA are delivering full-stack AI factory infrastructure to drive this transformation, empowering enterprises to harness their data and accelerate innovation with unprecedented speed and precision.”
Accelerating AI Time-to-Value with Private Cloud AI
The flagship Private Cloud AI platform, fully integrated with NVIDIA’s accelerated computing, software, and networking technologies, provides enterprises with a ready-to-deploy AI factory. Key features include:
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Support for NVIDIA Blackwell GPUs within HPE ProLiant Gen12 servers, which lead in more than 23 AI benchmarks and offer hardware-level security with tamper resistance, post-quantum cryptography, and trusted supply chains.
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Seamless scalability and investment protection across GPU generations, now supporting NVIDIA H200 NVL and RTX PRO 6000 Server Edition GPUs for diverse AI workloads.
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A federated architecture that enables resource pooling and efficient utilization across AI environments.
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Air-gapped management for organizations with stringent data privacy mandates.
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Built-in multi-tenancy for cross-team collaboration within the same infrastructure.
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Latest NVIDIA AI Blueprints, including the AI-Q Blueprint for agent-based AI.
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A “try and buy” program allowing organizations to test Private Cloud AI at Equinix data centers globally prior to purchase.
Also Read: DigitalOcean & AMD Partner to Boost AI with Cloud GPUs
Scaling the AI Factory Ecosystem with Validated Solutions
HPE has also broadened its AI factory portfolio with modular, end-to-end validated solutions built for speed and simplicity. These offerings integrate HPE’s legacy of innovation—including five decades of liquid cooling experience and HPE Morpheus Enterprise Software—to deliver a unified control plane and reduced time to value.
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HPE OpsRamp offers complete observability for both Private Cloud AI and other AI factory solutions. It’s now a validated observability platform for the NVIDIA Enterprise AI Factory.
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Solutions designed for large-scale operators such as service providers and model developers combine HPE ProLiant Compute XD, NVIDIA AI Enterprise software, and comprehensive professional services.
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An AI factory model designed specifically for sovereign entities like governments and public sector organizations offers enhanced data privacy, operational sovereignty, and air-gapped deployment capabilities.
These solutions utilize the NVIDIA Enterprise AI Factory validated design, integrating high-performance NVIDIA accelerated computing, Spectrum-X Ethernet networking, BlueField-3 DPUs, and AI Enterprise software for secure, scalable, and efficient AI infrastructure.
New Hardware to Power the Next Era of AI
The newly launched HPE Compute XD690—featuring support for up to eight NVIDIA Blackwell Ultra GPUs—underscores HPE’s commitment to delivering next-generation performance for large-scale AI workloads. It is managed via HPE Performance Cluster Manager, enabling sophisticated infrastructure monitoring and alerting across thousands of AI nodes.
Powering AI Workloads with AI-Ready Data Storage
To keep pace with AI’s data demands, HPE Alletra Storage MP X10000 now supports Model Context Protocol (MCP) servers to deliver intelligent unstructured data pipelines. The integration accelerates training, inference, and continuous learning. The X10000 also aligns with the NVIDIA AI Data Platform reference design and offers an SDK to optimize unstructured data workflows.
Expanding AI Use Cases Through Unleash AI Ecosystem
The Unleash AI partner ecosystem has added 26 new partners, extending HPE’s reach to over 75 AI use cases. These include agentic and sovereign AI, smart cities, industrial automation, data privacy, responsible AI, and cybersecurity—leveraging the latest NVIDIA AI Blueprints and HPE’s global services expertise.
Joint Innovation with Accenture to Advance Agentic AI in Financial Services
HPE is also collaborating with Accenture to deliver agentic AI solutions for financial services and procurement using the Accenture AI Refinery™ platform. Built on NVIDIA AI Enterprise and deployed via HPE Private Cloud AI, this solution is being piloted internally at HPE for spend analysis, strategic sourcing, and contract management.
Comprehensive Services to Accelerate AI Adoption
To simplify AI transformation, HPE has introduced new services covering the entire AI lifecycle—from strategic planning and deployment to ongoing support and optimization. These offerings help enterprises build AI factories efficiently and sustainably, with support for model development, education, tech refreshes, and outcome analysis.
Financial Programs to Jumpstart AI Projects
Through HPE Financial Services (HPEFS), enterprises can now access flexible financing, including a new offer with lower initial payments for the first six months of Private Cloud AI deployment. HPEFS also enables organizations to leverage existing IT assets as capital to fund future AI initiatives.
