Nvidia, Intel team up on energy efficient AI server

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Nvidia and Intel go from competitors to partners by jointly developing a system designed to push heavy AI workloads and offer users significant energy savings.

https://www.techtarget.com/searchenterpriseai/, Jan. 10, 2023 – 

Competitors Nvidia and Intel have partnered to deliver a server that will house both Nvidia's H100 Tensor Core GPUs and Intel's latest Xeon Scalable processors.

The new generation of systems are specifically designed for "energy-efficient AI," according to Nvidia officials. The combination of Intel's CPUs, working in tandem with Nvidia's Tensor Core GPUs, delivers higher-performance and more computation and problem-solving per watt than its predecessors.

The Nvidia and Intel chips will be housed in Nvidia's DGX H100 servers as well as in 60 other servers that contain H100 GPUs sold by Nvidia's business partners.

What inspired the collaboration is the widespread adoption of AI across major markets the past few years, along with the growing complexity of neural networks, Nvidia said. Enterprises have had to acquire more compute power to drive AI-powered workloads more efficiently. These workloads have also placed significantly higher demands on electricity.

Some were a bit surprised by two tooth-and-nail competitors entering into a co-opetition agreement, although one analyst believes the deal will benefit both.

"This is an interesting dynamic here," said Jack Gold, principal analyst with J. Gold & Associates. "On one hand, Intel and Nvidia are fierce competitors, but on the other hand Nvidia really needs Intel's high-end CPU that can really drive [Nvidia's] GPUs."

Nvidia is working on its own arm-based CPU, but that chip does that compete with Intel's Scalable Xeon Processor, he said.

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