Anthropic Secures $35 Billion Cloud Capacity Deal with Nvidia-Backed Lambda, WSJ Reports

Artificial intelligence firm Anthropic has entered into a $35 billion cloud-computing agreement with Lambda, a cloud provider backed by chip giant Nvidia (NASDAQ: NVDA), according to a report from The Wall Street Journal. The deal, which cited people familiar with the matter, aims to secure the massive computational power required to train and operate Anthropic's increasingly popular AI models.

This move underscores the intense race among leading AI developers to lock down long-term access to specialized hardware, which has been in short supply amid surging demand. For investors, it highlights the immense capital expenditures necessary to compete at the highest level of AI development and the pivotal role of infrastructure providers in the ecosystem.

A Multi-Party Infrastructure Arrangement

The agreement involves a complex chain of partnerships to bring the computing capacity online. The key players and their roles are:

• Lambda: The Nvidia-backed cloud provider that has the direct agreement with Anthropic.
• Hut 8: A bitcoin miner and data-center developer, is constructing the physical data center in Nueces County, Texas, that will house the hardware.
• Nvidia: The chipmaker will supply the processors to Lambda and is also an investor in the company. According to the report, Nvidia secured the capacity at the Hut 8 facility several weeks ago.

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The Journal's sources did not clarify the financial terms of the arrangement between Lambda and Nvidia for access to the data-center space.

Context: Scramble for AI Compute

This is the second major infrastructure deal for Anthropic in a single month, signaling an aggressive strategy to overcome capacity constraints. The company reportedly faced a supply shortage earlier this year as its products gained significant traction in the market.

Earlier in August, Bloomberg reported that Anthropic had signed an even larger $45 billion deal with Nscale, another cloud provider that also has financial backing from Nvidia. These back-to-back agreements illustrate the critical importance of securing a robust and scalable hardware foundation to support the growth of large language models.