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Data Center Knowledge· Wylie Wong·· 2 小时前AI 评分72

英伟达与AMD合计承诺40亿美元支持Meta AI基础设施扩张

Nvidia, AMD Commit $4B to Meta AI Buildout

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英伟达和AMD分别承诺向Meta投资30亿美元和10亿美元,以深化双方在AI基础设施上的合作。Meta于10月26日披露计划通过股权发行筹集975亿美元,用于持续投资AI基础设施;Meta还计划部署更多英伟达Vera Rubin平台、Vera CPU、Spectrum-X以太网和BlueField-4 DPU。AMD称首批Helios机架级系统已由Meta安装并测试,后续更大规模部署仍待推进。

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 Meta Building Massive AI Data Center In El Paso, Texas

In an aerial view, the Meta El Paso Data Center is seen on August 13, 2026 in El Paso, Texas.Photo by Brandon Bell/Getty Images

Nvidia and AMD are investing a combined $4 billion in Meta as the chipmakers deepen their relationships with the hyperscaler and position themselves for a larger role in its expanding AI infrastructure footprint.

Meta disclosed Monday, Oct. 26, that it plans to raise $97.5 billion through an equity offering to support its continued investment in AI infrastructure. Nvidia announced a $3 billion investment the same day, and AMD followed Tuesday with a $1 billion commitment.

As part of the expanded partnership with Nvidia, Meta plans to deploy more Nvidia infrastructure, including its Vera Rubin platform and Vera CPUs for next-generation agents, as well as Spectrum-X Ethernet networking and BlueField-4 DPUs, the companies said.

Nvidia and Meta also said they will deepen their collaboration on Meta’s Muse models and agents, which leverage Nvidia infrastructure. The companies are also considering additional work involving Nvidia OpenShell Reference Architecture to strengthen AI agent security.

Related:Oracle Cloud to Offer Google TPUs and New AI Chips

AMD, meanwhile, used its Tuesday announcement to highlight new milestones in its partnership with Meta. The chipmaker said initial AMD Helios rack-scale systems have been installed and are being tested by Meta ahead of a broader deployment.

AMD also said Meta has deployed millions of Epyc processors and is a lead customer of its sixth-generation Epyc CPUs. According to AMD, Epyc chips support the dedicated computing environments behind Meta’s Muse personal AI agent.

Meta is also using AMD Instinct GPUs for training, ranking, and recommendation workloads and plans to deploy a custom AMD Instinct GPU optimized for its own workloads, AMD said.

Analysts said the investments reflect Nvidia’s and AMD’s efforts to secure long-term AI infrastructure business with major hyperscalers.

“This continues AMD’s and Nvidia’s investments in strategic hyperscalers to drive greater adoption of their platforms,” said Matt Kimball, vice president and principal analyst at Moor Insights & Strategy.

Brendan Burke, research director at Futurum Group, said both Nvidia and AMD view Meta’s AI agent strategy as one of the more promising in AI. Meta’s recent progress in training models and advancing its personal AI agent strategy, he said, suggests it has become a viable frontier AI lab, underscoring why the company continues to increase compute spending.

That gives both Nvidia and AMD a strong incentive to support Meta’s roadmap more aggressively, Burke said, with the potential payoff coming through future GPU and CPU purchases.

Related:How Chiplets Could Transform Server Design – And Data Centers

About the Author

Wylie Wong

Chips and Hardware Writer

Wylie Wong is a journalist and freelance writer specializing in technology, business and sports. He previously worked at CNET, Computerworld and CRN and loves covering and learning about the advances and ever-changing dynamics of the technology industry. On the sports front, Wylie is co-author of Giants: Where Have You Gone, a where-are-they-now book on former San Francisco Giants. He previously launched and wrote a Giants blog for the San Jose Mercury News, and in recent years, has enjoyed writing about the intersection of technology and sports.

来源:Data Center Knowledge · datacenterknowledge.com