HPE’s AI factory line just got a huge update
HPE has announced an expansion of its AI factory portfolio with a spate of new ‘composable’ solutions designed to supercharge the creation, adoption, and management of AI factories for businesses of all sizes.
The new features are integrated end-to-end solutions and services for AI factories that aim to remove the complexity of customers building a full AI tech stack on their own, which the company says has become a key hurdle to adoption rates over the last two years.
In an announcement at the company’s annual HPE Discover conference, the company said that generative, agentic, and physical AI have the potential to transform global productivity and create lasting societal change – but it warned that 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 is delivering the most comprehensive approach, joining industry-leading AI infrastructure and services to enable organizations to realize their ambitions and deliver sustainable business value.”
HPE doubles down on Nvidia ties
HPE’s new AI factory services leverage its partnership with Nvidia. The company’s Private Cloud AI is part of the Nvidia AI Computing by HPE portfolio, for example, and boasts an Nvidia Enterprise AI Factory-validated design.
Within this the company launched new HPE ProLiant Compute Gen12 servers that rank number one in over 23 AI tests, HPE claims.
As well as the ability to provide a secure enclave to prevent tampering, this also supports post-quantum cryptography and trusted supply chain capabilities at rack and server level.
HPE revealed these servers will support the latest from Nvidia Blackwell computing.
Elsewhere, the offering also includes investment protection and scalability from one GPU generation to the next – this includes upgrading to Nvidia H200 NVL and Nvidia RTX Pro accelerators.
Organizations with strict data privacy requirements will also be entitled to air-gapped management and multi-tenancy that enables enterprises to collaborate and partition resources across their teams.
What’s more, the expansion will also include Nvidia blueprints for fraud detection, digital human, and the Nvidia AI-Q blueprints for AI agent creation and workflows.
As well as a new “try and buy” program that lets customers test Private Cloud AI at Equinix’s global data centers before making a purchase.
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