Press Releases September 9, 2026 08:00 AM

HP Extends Data-Center AI Architecture to the Edge

HP collaborates with Red Hat and NVIDIA to extend enterprise AI capabilities from data center to edge computing environments.

By Nina Shah
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HP Inc. announced a collaboration with Red Hat and NVIDIA to develop an open, enterprise-grade AI platform combining HP's ZGX Fury hardware with Red Hat AI Factory and NVIDIA's AI technology. This platform is designed to run AI inference closer to users, machines, and data, enabling improved AI performance, reduced setup times, and enhanced operational consistency across hybrid cloud and edge environments. The solution targets various industries requiring low latency, privacy, and data sovereignty, supporting scalable AI deployment beyond traditional data centers.

HP Extends Data-Center AI Architecture to the Edge
HPQ
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Key Points

  • HP introduces the ZGX Fury AI platform powered by NVIDIA Grace Blackwell Ultra Desktop Superchip and Red Hat AI Factory to enable local AI inference and deployment.
  • The collaboration addresses key enterprise needs such as latency reduction, data privacy, governance, and hybrid cloud orchestration for AI workloads.
  • Target industries include manufacturing, healthcare, retail, government, and distributed enterprises with requirements for edge computing and secure local AI inference.

News Highlights:

  • HP is collaborating with Red Hat and NVIDIA to deliver an enterprise AI platform designed to run production inference closer to users, applications, machines and data.
  • The planned solution will combine HP ZGX Fury, powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip and Red Hat AI Factory, enabling enhanced AI and orchestration capabilities.
  • Customers will be able to evaluate the solution in a sandboxed environment on HP devices running Red Hat AI Factory with NVIDIA before moving use cases into production.

PALO ALTO, Calif., Sept. 09, 2026 (GLOBE NEWSWIRE) -- HP Inc. today announced a collaboration with Red Hat, the world’s leading provider of open-source solutions, to give organizations more choice in where AI workloads run, whether locally, in the cloud or across both environments. In collaboration with Red Hat, HP is developing an open, enterprise-grade AI platform to deliver purpose-built AI infrastructure powered by Red Hat AI Factory with NVIDIA.

HP’s open enterprise-grade AI platform aims to help companies maximize local AI inference throughput with up to 20 PFLOPS FP4 AI performance, reduce environment setup time and deployment risk, and improve GPU utilization through optimized NVIDIA CUDA libraries, scheduling, and multi-GPU workload orchestration. Red Hat AI Factory with NVIDIA is an integrated AI platform, built on the industry-leading infrastructure of Red Hat Enterprise Linux and Red Hat OpenShift, for deploying and managing AI models, agents and applications across the hybrid cloud.

The collaboration provides the ability to accelerate AI development by reducing setup time, enabling local agentic coding, and allowing companies to offload compute to the ZGX Fury without altering existing workflows. Running on Red Hat AI Factory, the solution is bringing together the co-engineered and jointly validated power of NVIDIA AI Enterprise and the scalability of Red Hat AI Enterprise.

“The future of AI is moving closer to where people work, machines operate and critical decisions are made,” said Jim Nottingham, Senior Vice President and Division President, Advanced Compute and Solutions, HP Inc. “Together with Red Hat and NVIDIA, HP is extending enterprise AI from the data center to the edge with an open, enterprise-grade inference platform designed to give customers greater choice, control and consistency as they deploy local AI factories.”

As organizations continue to develop AI solutions requiring AI inference closer to deployment sites, they must address latency, privacy, resiliency, data sovereignty, connectivity and cost. HP intends to help customers move from experimentation to repeatable production deployments with local AI performance and a consistent enterprise software foundation. The platform is being designed to support multiple AI workloads on the same system while maintaining workload isolation, governance, and operational control. This approach can help organizations improve infrastructure utilization and give IT teams a more consistent way to manage distributed AI environments.

“Scaling AI from the data center to the edge requires operational consistency and reliability. By powering HP’s platform with Red Hat AI Factory with NVIDIA, we’re providing the stable, AI-optimized foundation businesses need to bridge the gap between IT and operational technology,” said Ryan King, Vice President, AI and Infrastructure Partner Ecosystem, Red Hat. “We are pleased to collaborate with HP to help organizations better manage their AI lifecycle with the same confidence and control they’ve come to expect from Red Hat, no matter where their workloads reside.”

“The future of AI requires fast, reliable intelligence that can run not only in data centers but also where work gets done — at the edge,” said Chris Marriott, vice president, Enterprise Platforms and Solutions at NVIDIA. “By bringing NVIDIA Grace Blackwell technology to the ZGX Fury and planning to integrate with Red Hat AI Factory with NVIDIA, HP is enabling organizations to run powerful AI locally while maintaining the security, scalability, and consistency enterprises demand.”

Extending Enterprise AI from the Data Center to the Edge

The initial solution will bring together:

  • HP ZGX Fury, based on the NVIDIA DGX Station platform, is powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, as the physical infrastructure for demanding local AI development and inference.
  • Enterprise lifecycle management and support pathways designed to improve consistency from developer environments to production deployment.

Putting Local AI to Work Across Industries

  • Manufacturing: Run computer-vision inference closer to production lines to support near-real-time defect detection while limiting the need to continuously transfer sensitive operational data to the cloud.
  • Engineering and software development: Give developers local access to AI tools and reproducible software environments for coding, testing, model evaluation, fine-tuning and other demanding workflows, helping reduce the time required to configure AI development environments.
  • Retail and branch environments: Process data closer to stores and branch locations to support responsive AI applications and reduce dependence on continuous cloud connectivity.
  • Healthcare and regulated industries: Help organizations keep sensitive data on premises while supporting local inference and established governance requirements.
  • Government and sovereign environments: Support secure local AI in air-gapped, intermittently connected or data-sovereignty-sensitive locations, with enterprise lifecycle management and validated software components helping simplify deployment and ongoing operations.
  • Distributed enterprise operations: Extend established Red Hat AI Factory with NVIDIA capabilities from centralized infrastructure to back offices, remote sites and developer workstations.

Availability

HP ZGX Fury is now available to order. HP ZGX Fury is certified to run on Red Hat Enterprise Linux and available via the Red Hat Ecosystem Catalog.

Customers will also be able to evaluate the planned solution in a sandboxed environment delivered on HP devices with Red Hat AI Factory with NVIDIA. Details on timing, locations, eligibility, supported configurations and access will be shared when available.

Learn more at http://www.hp.com/zgx-fury

About HP

HP Inc. (NYSE: HPQ) is a global technology leader redefining the Future of Work. Operating in more than 180 countries, HP delivers innovative and AI-powered devices, software, services and subscriptions that drive business growth and professional fulfilment. For more information, please visit: HP.com.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/0f1f7db3-5bce-4a1e-a81d-f375dceae327


Risks

  • Dependence on successful integration between HP hardware, Red Hat software, and NVIDIA AI technologies to deliver promised performance and ease of use.
  • Potential market adoption uncertainties due to competitive AI infrastructure solutions and evolving enterprise AI deployment strategies.
  • Risks related to managing distributed AI environments including security, governance, and operational control across hybrid and edge platforms, which may challenge IT teams.

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