HPE and Nvidia collaborate on private cloud for Gen AI workloads

HPE has made a series of announcements to address growing pressures related to artificial intelligence, including the launch of a new private cloud.

In partnership with Nvidia, HPE hopes to accelerate the adoption of generative AI in industries subject to stricter regulations by offering a more private and controlled environment.

HPE’s new Nvidia AI Computing, unveiled at the HPE Discover conference, is a portfolio of solutions and joint go-to-market integrations designed to accelerate enterprise AI implementation.

Nvidia AI Computing from HPE

Key to the partnership portfolio is the introduction of what HPE says is the “first-of-its-kind turnkey, private-cloud AI solution.”

It promises “the deepest integration yet” with Nvidia AI computing, networking and software, as well as access to HPE’s AI Storage, compute and the HPE GreenLake cloud.

HPE President and CEO Antonio Neri said the solution is a response to “the complexity of fragmented AI technology (which) contains too many risks and barriers that hinder large-scale enterprise adoption.”

Highlights highlighted by HPE at the Discover conference include support for inference, refinement, and RAG AI workloads that leverage proprietary data, as well as enterprise-level control over privacy and security.

During the same presentation, HPE announced that it would also be adding support for Nvidia’s latest GPUs, CPUs and Superchips, including the HPE Cray XD670 which supports eight Nvidia H200 NVL Tensor Core GPUs designed to support LLM builders.

Nvidia CEO Jensen Huang added: “Never before have Nvidia and HPE integrated our technologies so deeply – combining the entire Nvidia AI computing stack with HPE’s private cloud technology – to equip enterprise customers and AI professionals with the most advanced computing infrastructure and services to expand the frontier of AI.”

HPE Private Cloud AI is expected to be generally available in the fall, but the company did not provide a specific time frame. Other hardware is also expected to go live in the fall, with the HPE Cray XD670 server becoming generally available in the summer.

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