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White House Raises $2.4 Billion from 5 Companies for 'Genesis Mission'

Five major tech companies have pledged AI tools and computing credits totaling $2.4 billion to support the U.S. scientific 'Genesis Mission'.

October 8, 2026
White House Raises $2.4 Billion from 5 Companies for 'Genesis Mission'

Five major tech companies have pledged AI tools and computing credits totaling $2.4 billion to support the U.S. federal 'Genesis Mission', according to platform 'The Next Web'. The pledge was announced during a science summit held at the White House on Thursday.

The contributions were distributed among Nvidia, AMD, OpenAI, Anthropic, and Google. Nvidia's share is the largest, amounting to $1 billion provided over five years, while Google's share was the smallest at $150 million, according to disclosed figures.

Reports noted that the mechanism by which the pledged computing credits will be reserved for scientists has not been clarified yet, leaving open questions about how these resources will be distributed to research projects and who will determine their priorities. The pledge includes tools and software alongside cloud processing capabilities, rather than physical chips alone.

The pledge comes as part of a broader U.S. effort to harness artificial intelligence capabilities in scientific research by connecting university laboratories and research centers with state-of-the-art computing infrastructure. The five companies are among the world's largest suppliers of chips, models, and cloud services, making the pledge a significant source for expanding access to the computing power needed for advanced research.

What do these terms mean?

Computing Credits: A specific amount of cloud processing power granted to a client to consume whenever they wish, instead of purchasing servers and chips directly.

Genesis Mission: A U.S. federal scientific initiative aimed at accelerating scientific research by harnessing AI tools and advanced computing capabilities.

Cloud Computing: Renting massive processing power over the internet instead of owning and maintaining servers, which is the standard method for running AI workloads.

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