HPE Simplifies and Accelerates Development of AI-ready Data Centers With Secure AI Factories Powered by NVIDIA

Key Terms

multi-instance gpu (mig) technical

A multi-instance GPU (MIG) is a technology that divides a single graphics processor into several smaller, independent virtual GPUs, each with its own reserved compute and memory so multiple tasks run in isolation on the same chip. Investors care because this increases hardware utilization and efficiency — like renting separate rooms in one house instead of buying multiple houses — allowing data centers and cloud providers to sell finer-grained, lower‑cost GPU capacity and boost revenue per device.

data processing units (dpus) technical

Data Processing Units (DPUs) are specialized chips or processors built to handle heavy data tasks—moving, securing, compressing and sorting information—so the main CPU can focus on other work. Think of a DPU as a dedicated mailroom that sorts and routes packages so the rest of the office runs faster. Investors care because DPUs can improve performance, cut operating costs and enable new cloud and networking services, affecting revenue, margins and competitive position.

s3-compatible storage technical

S3-compatible storage is a way of keeping large amounts of files and data in the cloud using the same simple commands and structure popularized by a leading object-storage service. Think of it as a universal power outlet for data: different providers can plug into the same sockets so applications and systems can save and retrieve files without rewriting code. For investors, it matters because compatibility reduces switching costs, supports scalability and disaster recovery, and can influence a company’s technology costs and operational flexibility.

confidential computing technical

Confidential computing is a technology that keeps data secure while it is being processed or analyzed, even from the systems that run the calculations. Think of it like a locked box where sensitive information is kept safe inside, no matter what happens during the work. This helps protect private data from unauthorized access, making it especially important for businesses and investors concerned about data privacy and security.

air-gapped environments technical

Air-gapped environments are computing systems or networks physically isolated from the internet and other external connections, like a computer kept in a locked room with no cables to the outside. Investors should care because this isolation greatly reduces hacking and data-leak risk but also makes software updates, data transfers, and collaboration slower or more costly, which can affect operational flexibility, compliance costs, and project timelines.

data fabric technical

A data fabric is a technology approach that stitches together data from many different places—databases, cloud services, and applications—into a single, searchable layer so people and software can find and use the right information quickly. For investors it matters because a reliable data fabric can cut costs, speed decision-making, improve risk controls and make new products or analytics practical, much like a well‑maintained road network that keeps a city’s traffic flowing efficiently.

HPE and NVIDIA expand partnership to launch AI Factory Lab in Grenoble, France, addressing customers’ needs for more control and autonomy over their AI infrastructure and data

BARCELONA, Spain--(BUSINESS WIRE)-- HPE Discover Barcelona 2025 – HPE (NYSE: HPE) today announced an expansion of the NVIDIA AI Computing by HPE portfolio, introducing new solutions for secure and scalable AI factories, new AI datacenter interconnect to optimize AI workload performance across clusters operating over long distances or within multiple clouds, and the first AI factory lab in the European Union (EU) for customers worldwide to test and validate their sovereign AI factories.

“HPE and NVIDIA continue to provide the foundation for secure AI factories at any scale, with new innovations that deliver a greater range of performance for more diverse workloads than ever before,” said Antonio Neri, president and CEO of HPE. “Together, HPE and NVIDIA are showcasing our unique strengths to deliver true full-stack AI infrastructures that provide enterprises with a greater range of performance for more diverse workloads.”

“Every nation and enterprise needs to own the production of its intelligence,” said Jensen Huang, founder and CEO of NVIDIA. “We’re transforming the data center into an AI factory — a manufacturing plant for the new industrial revolution — and by deploying the full stack of NVIDIA accelerated computing and Spectrum-X Ethernet networking with HPE, we’re creating the template for sovereign AI. The new AI Factory Lab provides a foundry where customers can turn data into value, securely and at scale.”

HPE addresses customers’ needs for more control and autonomy over their AI infrastructure and data

HPE and NVIDIA are launching a new AI Factory Lab in Grenoble, France where customers can test and refine workloads on a sovereign, air-cooled AI factory environment. The lab is equipped with the latest NVIDIA AI Enterprise government-ready software, HPE servers, HPE Juniper Networking PTX and MX Series routers, NVIDIA accelerated computing, NVIDIA Spectrum-X Ethernet networking, and HPE Alletra storage. This new lab environment will also allow customers to validate performance on infrastructure located and running in the EU, designed to support scaled AI for the region, helping address data sovereignty and regulatory compliance needs of global enterprises operating within the EU. HPE is also partnering with Carbon3.ai to launch a Private AI Lab in London designed to accelerate UK enterprise AI adoption and built on HPE Private Cloud AI, NVIDIA AI Enterprise software suite and powered by NVIDIA AI infrastructure.

Expanded HPE Private Cloud AI capabilities to address data and operational sovereignty

As European markets are increasingly prioritizing data and operational sovereignty to more easily adopt AI with a secure, private infrastructure, HPE Private Cloud AI has introduced new configurations, use cases, and capabilities, including:

• NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPUs on HPE Private Cloud AI, along with NVIDIA Hopper, give customers a choice of GPUs and provide greater flexibility across multiple workloads
• The integration of STIG-hardened and FIPS-enabled NVIDIA AI Enterprise in air-gapped environments offers an added layer of security, enabling a solution capable of satisfying numerous compliance standards
• HPE Private Cloud now supports GPU fractionalization to optimize utilization and lower costs, using NVIDIA Multi-instance GPU (MIG) technology
• New Datacenter Ops Agents provided by World Wide Technology (WWT), NVIDIA, and HPE simplify AI data center management and strengthen HPE’s unified operations across agentic AI and hybrid cloud environments

HPE’s Sovereign AI factory solutions are now available with new system designs that incorporate country-specific compliance requirements, making it easier for organizations to comply with local regulations. HPE sets a new standard for security by offering adaptable solutions that maintain and strengthen security while meeting diverse country regulations. The new engineering-validated reference architectures also include robust software security measures and systems designed to support compliance audits. Additionally, HPE’s cybersecurity practice offers comprehensive advisory and professional services from workshops to management, and aligns with regulated industry needs, including solutions with NVIDIA technologies for sovereign compliance.

HPE and NVIDIA accelerate AI factory performance for data and data centers

HPE’s AI factory networking solutions include the NVIDIA Spectrum-X Ethernet networking platform and NVIDIA BlueField-3 data processing units (DPUs), providing customers with accelerated networking across various production scenarios – datacenter to datacenter, datacenter to cloud. HPE solutions for AI factories have also been extended to include HPE Juniper Networking. This extension leverages the HPE Juniper Networks MX and PTX high-speed routing platforms to enable high-scale, secure and low latency connections from users, devices, and agents to AI factories and connections between clusters deployed across longer distances or across multiple clouds.

As AI matures, businesses need smarter, more integrated and secure ways to deploy AI, refining how they store, manage, and unlock value from distributed data. To meet this demand, HPE today announced the HPE Alletra Storage MP X10000 Data Intelligence Nodes, a next-generation architecture that transforms the X10000 into an active data layer that delivers inline intelligence by bringing NVIDIA accelerated computing to where information lives and enriching data in real time for AI pipelines. This builds on HPE Data Fabric capabilities that unify access to data across edge, core, and cloud.

By using the NVIDIA AI Data Platform reference design and running NVIDIA AI Enterprise software directly within the data path, the X10000 operates as a dynamic engine that analyzes data as it is ingested and automatically infers patterns to feed AI factories. This powerful solution processes, classifies, and optimizes data inline with RDMA for S3-compatible storage support and NVIDIA-accelerated performance.

Additional new innovations include the NVIDIA GB200 NVL4 by HPE, which delivers a compact, power-efficient alternative to larger AI and HPC platforms by enabling enterprises to quickly and securely deploy high-performance AI inference for large language models (LLMs) and other generative AI applications. The NVIDIA GB200 NVL4 by HPE combines two NVIDIA Grace CPUs with four NVIDIA Blackwell GPUs, providing exceptional density of up to 136 GPUs per rack and offering a cost-effective option for organizations needing high performance computing without massive power demands.

CrowdStrike, NVIDIA and HPE Collaborate for Unified AI Security

HPE has selected CrowdStrike as an industry-leading security platform for HPE Private Cloud AI customers, unifying endpoint, identity, cloud, and data protection across hybrid and multicloud environments. The collaboration expands on Unleash AI partner CrowdStrike and HPE’s work to secure end-to-end AI innovation – including large language models (LLMs) accelerated by NVIDIA – and builds on CrowdStrike’s partnership with NVIDIA to deliver always-on AI agents for cybersecurity, advancing enterprises’ ability to safely operationalize AI at scale.

HPE collaborates with Fortanix to deliver NVIDIA Confidential Computing

HPE is working with Fortanix to leverage NVIDIA Confidential Computing and Fortanix Armet AI, a turnkey platform for running secure and sovereign agentic AI in AI factories and highly regulated environments. Technology from Fortanix, a new Unleash AI partner, can be deployed on HPE Private Cloud AI and HPE ProLiant Compute DL380a Gen12 servers equipped with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs to help enterprises in EMEA and around the world build and run secure, scalable AI workloads on-premises, in the cloud, or in AI factories.

Availability:

• The AI Factory Lab in Grenoble will be available in Q2 2026
• The NVIDIA GB200 NVL4 is available to order now
• Sovereign AI factories are available to order now
• HPE Alletra Storage MP X10000 Data Intelligence Nodes are available to order in January 2026

Additional Resources:

• Read today’s blog: Building the AI Factory Grid of Tomorrow
• Read today’s blog: Transform Data into AI Fuel with HPE Alletra Storage MP X10000 data intelligence node

Recent HPE News:

• HPE Advances Government and Enterprise AI Adoption Through Secure AI Factory Innovations with NVIDIA
• HPE helps enterprises drive agentic and physical AI innovation with systems accelerated by NVIDIA Blackwell and the latest NVIDIA AI models
• HPE unveils new AI factory solutions built with NVIDIA to accelerate AI adoption at global scale

About HPE

HPE (NYSE: HPE) is a leader in essential enterprise technology, bringing together the power of AI, cloud, and networking to help organizations achieve more. As pioneers of possibility, our innovation and expertise advance the way people live and work. We empower our customers across industries to optimize operational performance, transform data into foresight, and maximize their impact. Unlock your boldest ambitions with HPE. Discover more at www.hpe.com

View source version on businesswire.com: https://www.businesswire.com/news/home/20251201703178/en/

Media Contact:

Ben Stricker

ben.stricker@hpe.com

Source: Hewlett Packard Enterprise