HP Extends Data-Center AI Architecture to the Edge

HP (HPQ) announced a collaboration with Red Hat and NVIDIA to develop an open, enterprise-grade AI platform that extends data-center AI architectures to the edge.

Rhea-AI Summary

HP (HPQ) announced a collaboration with Red Hat and NVIDIA to develop an open, enterprise-grade AI platform that extends data-center AI architectures to the edge. The planned solution combines HP ZGX Fury, powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, with Red Hat AI Factory with NVIDIA to run and orchestrate multiple AI workloads closer to users, machines and data.

The platform is designed to deliver up to 20 PFLOPS FP4 local AI inference performance, reduce environment setup time and deployment risk, and improve GPU utilization through optimized CUDA libraries and multi‑GPU orchestration. Customers will be able to evaluate the solution in a sandboxed environment on HP devices before moving use cases into production. HP ZGX Fury is already available to order and certified to run on Red Hat Enterprise Linux.

Positive

• Planned enterprise AI platform unites HP ZGX Fury, Red Hat AI Factory with NVIDIA, and NVIDIA Grace Blackwell for edge and data-center inference
• Up to 20 PFLOPS FP4 stated local AI inference performance target for HP’s open enterprise-grade AI platform
• HP ZGX Fury available now and certified to run on Red Hat Enterprise Linux, giving customers immediate hardware access

Negative

• None.

Market Context

HPQ was down 4.5% before publication, contrasting with the 2.22% 24-hour gain after HP’s Sept. 4 AI-...

Analysis

HPQ was down 4.5% before publication, contrasting with the 2.22% 24-hour gain after HP’s Sept. 4 AI-PC announcement; the new Red Hat-NVIDIA collaboration extended HP’s disclosed AI product progression into edge infrastructure.

Key Figures

AI performance: up to 20 PFLOPS FP4

AI performance

up to 20 PFLOPS FP4

HP open enterprise-grade AI platform

Previous AI Reports

2 past events · Latest: Sep 04

Same Type 2 events

1. Sep 04

   AI PC launch

   24h Move

   +2.2%

   Introduced AI PCs with up to 1 petaflop FP4 performance for builders.

2. Mar 24

   AI workstation launch

   24h Move

   +1.9%

   Unveiled Z workstations and AI solutions for local compute and hybrid workloads.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

inference, orchestration, sandboxed environment, air-gapped

4 terms

inference technical

"designed to run production inference closer to users"

Inference is the process of drawing a conclusion from available evidence or data, like a detective piecing together clues to form a likely story. For investors it matters because these judgments turn raw reports, test results, or market signals into expectations about future performance, risk, or regulatory outcomes—so how someone infers from the same facts can change investment decisions and valuation.

orchestration technical

"enabling enhanced AI and orchestration capabilities"

Orchestration is the coordinated management of multiple tasks, systems or teams so they work together smoothly, like a conductor ensuring each instrument plays at the right time. For investors, orchestration matters because it improves efficiency, speeds up delivery, reduces errors and operational costs, and makes scaling or changing business processes less risky—factors that can directly affect a company’s profitability and reliability.

sandboxed environment technical

"evaluate the solution in a sandboxed environment"

A sandboxed environment is an isolated, controlled space where software, data or processes can run without affecting the rest of a system, like testing a new toy inside a box so it can’t break anything else. For investors, sandboxes matter because they reduce risk — companies use them to trial new products, detect bugs or security flaws, and demonstrate regulatory compliance before wide release, which can protect value and avoid costly setbacks.

air-gapped technical

"secure local AI in air-gapped, intermittently connected"

A system described as air-gapped is physically isolated from public and private networks so it cannot be reached over the internet or company LAN, like a safe kept in a room with no phone line. For investors this matters because air-gapping reduces the risk that critical data, trading algorithms, backups or industrial controls will be accessed or tampered with by hackers, but it can also increase costs and slow information flow compared with connected systems.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Enabling organizations to deploy and manage open, virtualized AI from the data center to the edge with HP ZGX Fury and Red Hat AI Factory with NVIDIA

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

Media Contacts

MediaRelations@hp.com

hp.com/go/newsroom

FAQ

How is the planned HP, Red Hat and NVIDIA AI platform intended to help enterprises operationalize AI?

The platform is being designed to support multiple AI workloads on the same system while maintaining workload isolation, governance and operational control. The companies state that it aims to reduce environment setup time and deployment risk, improve GPU utilization via optimized NVIDIA CUDA libraries, and give IT teams a more consistent way to manage distributed AI environments across data centers and edge locations.

What role does HP ZGX Fury play in the new AI solution?

HP ZGX Fury, based on the NVIDIA DGX Station platform and powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, provides the physical infrastructure for demanding local AI development and inference. It supports Red Hat Enterprise Linux, appears in the Red Hat Ecosystem Catalog, and will be the hardware on which customers can run Red Hat AI Factory with NVIDIA in sandboxed evaluations and later production deployments.

Which types of use cases and industries does HP highlight for local AI with this platform?

HP cites manufacturing (near-real-time defect detection with local computer vision), engineering and software development (local AI tools and reproducible environments), retail and branch locations (responsive AI with reduced cloud dependence), healthcare and other regulated industries (keeping sensitive data on premises), government and sovereign environments (secure local AI in air-gapped or intermittently connected sites), and distributed enterprises extending Red Hat AI Factory with NVIDIA to back offices, remote sites and developer workstations.

How can customers try the HP and Red Hat AI Factory with NVIDIA solution?

Customers will be able to evaluate the planned solution in a sandboxed environment delivered on HP devices running Red Hat AI Factory with NVIDIA before moving use cases into production. HP indicates that details on timing, locations, eligibility, supported configurations and access will be shared when available.