AI startup Anthropic has reportedly agreed to a $35 billion computing deal with Nvidia-backed cloud provider Lambda. The arrangement involves a Texas data center currently being developed by Hut 8.

Artificial intelligence company Anthropic PBC has entered into a $35 billion computing agreement with Lambda, a cloud provider backed by Nvidia Corp., according to a person familiar with the matter. The move is part of Anthropic's broader strategy to rapidly expand its AI capacity.

Infrastructure company Hut 8 is developing the Texas data center involved in the project, located in Nueces County, Texas. According to a previous report by The Wall Street Journal, Nvidia would hold the lease on the data center. Representatives for Anthropic declined to comment on the agreement, while Nvidia, Lambda, and Hut 8 did not immediately respond to requests for comment.

This agreement is part of a broader trend of AI computing deals tied to Nvidia, which currently supplies the chips driving much of the industry's growth. Nvidia has utilized its financial resources to expand access to computing infrastructure, which in turn drives demand for its hardware technology.

Anthropic has positioned itself as one of the largest buyers of data center power in the sector. The maker of the Claude chatbot recently agreed to spend $45 billion to rent capacity from Nscale in West Virginia. Over recent months, the company has also signed large-scale cloud deals, including a $50 billion agreement with neocloud Fluidstack Ltd. and a $45 billion arrangement with Elon Musk's SpaceX.

Meanwhile, Lambda has been active in the capital markets. The company is reportedly in talks to raise as much as $3 billion, with discussions pointing to a valuation of up to $12 billion or higher. Previously, Lambda secured more than $1.5 billion in a funding round held in November. Last year, the cloud provider also reached an agreement with Microsoft Corp. to deploy AI infrastructure powered by tens of thousands of Nvidia processors.

"The massive capital commitments made by AI developers like Anthropic highlight the immense infrastructure demands required to scale large language models. As cloud providers and chipmakers like Nvidia tie their financial resources directly into data center expansion, we are witnessing a capital-intensive race to secure foundational computing capacity. For the broader technology ecosystem, this trend underscores how hardware availability and power access have become critical bottlenecks and key drivers of enterprise valuation." — Dr. Shishir Gupta, Founder & CEO, StartupLanes

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