HPE enhances AI factory portfolio

Hewlett Packard Enterprise (HPE) has enhanced its AI Factory portfolio to accelerate the adoption and deployment of advanced AI across industries.

As part of a deepened collaboration with NVIDIA, the portfolio is designed to support the entire AI lifecycle for enterprises, service providers and public sector organisations, offering a comprehensive, turnkey platform for developing, training and deploying AI at scale.

These updates include seamless integrations with NVIDIA AI Enterprise for expanding support for HPE Private Cloud AI with accelerated compute, and HPE Alletra Storage MP X10000 software development kit (SDK) for NVIDIA AI Data Platform.

HPE is also launching compute and software offerings with NVIDIA RTX PRO 6000 Blackwell Server Edition GPU and NVIDIA Enterprise AI Factory validated design.

“By co-engineering cutting-edge AI technologies elevated by HPE’s robust solutions, we are empowering businesses to harness the full potential of these advancements throughout their organisation, no matter where they are on their AI journey. Together, we are meeting the demands of today, while paving the way for an AI-driven future,” said Antonio Neri (top left), President and CEO of HPE.

“Enterprises can build the most advanced NVIDIA AI factories with HPE systems to ready their IT infrastructure for the era of generative and agentic AI. Together, NVIDIA and HPE are laying the foundation for businesses to harness intelligence as a new industrial resource that scales from the data center to the cloud and the edge,” said Jensen Huang (top right), Founder and CEO of NVIDIA.

Manufacturing intelligence

NVIDIA AI factories represent a paradigm shift in how organisations approach data centre infrastructure. Unlike traditional data centres, which are designed for a broad range of IT workloads, AI factories are purpose-built to manufacture intelligence at scale. They provide pre-engineered, rack-level designs optimised for the intense computational demands of AI model creation, training, fine-tuning, and high-volume inference.

The core of an AI factory is NVIDIA’s full-stack accelerated computing platform, which integrates powerful GPUs, advanced networking, storage, and a comprehensive software suite. This stack is meticulously optimised to deliver maximum performance and energy efficiency, producing AI tokens — the outputs of AI models such as predictions, insights, or generative content — at unprecedented speeds.

Enterprises adopting this model gain the ability to rapidly develop, test and deploy AI applications, significantly reducing time-to-value and operational complexity.

With HPE and NVIDIA’s latest enhancements, enterprises can now access validated designs and integrated solutions that lower the barriers to entry for building their own AI factories, whether in their data centres or through hybrid cloud environments.