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Event File AI Anthropic NVIDIA AI Data Centers

Anthropic Signs $35 Billion Lambda Cloud Deal With Nvidia Support

2 reports · First detected 2026-09-01 · Last active 2026-09-01

Anthropic’s development of large generative AI models requires sustained access to costly, power-intensive computing infrastructure. Its agreement with Lambda, a cloud provider backed by Nvidia, offers another source of capacity as advanced chips and data-center space remain constrained. The arrangement also underscores Nvidia’s expanding role beyond supplying processors, helping shape an emerging cloud ecosystem that competes for artificial-intelligence workloads.

Anthropic has signed a cloud-computing contract with Lambda valued at $35 billion, with capacity set to be housed at a Texas data center being built by bitcoin miner Hut 8. Nvidia will supply chips for the project and holds the lease on the facility, according to the reports. As of Sept. 2, 2026, the supplied reports had not disclosed the formal signing date, contract duration or timetable for bringing the computing capacity online.

All Coverage

2 original reports
ABMEDIA.IO 2026-09-01
Anthropic 350 億美元 AI 算力，落腳 Hut 8 德州電廠
TECHNEWS.TW 2026-09-01
Anthropic 簽 350 億美元雲端大單，輝達供晶片兼持租約

The Backstory

The history behind this event
Anthropic Signs $45 Billion Nscale AI Compute Deal2026-08-27 · 3 reports · similarity 0.82

Training and running generative AI models requires vast data-center capacity, advanced chips and power, making access to compute a central battleground for leading developers. Anthropic has been expanding its infrastructure footprint as it competes with OpenAI, while UK startup Nscale is building large-scale AI data centers. The agreement also underscores the strategic importance of Nvidia’s Vera Rubin platform in the next wave of model development.

Anthropic agreed to spend about $45 billion with Nscale to secure computing resources powered by Nvidia’s latest Vera Rubin chips. Support under the agreement is expected to begin by the end of 2027, giving Anthropic additional capacity for training and serving its AI systems. The deal is the latest step in the company’s compute-buying push and marks a significant escalation in its cloud and data-center spending.

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