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Jensen Huang’s Foundation Donates $108M in AI Computing to Researchers

Jensen Huang's foundation is buying $108.3M in AI computing time from CoreWeave and donating it to universities and nonprofits for science research.

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Jensen Huang’s foundation is buying $108.3M in AI computing time from CoreWeave and donating it to universities and nonprofits for science research.

The foundation of Nvidia CEO Jensen Huang and his wife, Lori, is buying AI computing time from CoreWeave. Furthermore, it is donating that computing power directly to universities and other nonprofit research institutes. The donation, according to a Tuesday regulatory filing, is valued at $108.3 million so far.

The computing resources, as stated in the filing, will go toward science and artificial intelligence research. In addition, Nvidia plans to provide free engineering services to some of the grant recipients.

CoreWeave is a cloud computing company that specializes in AI applications. Importantly, it runs on graphics processing units, or GPUs the same chips that Nvidia designs and sells. In other words, the Huangs are buying computing time on hardware that Nvidia itself manufactures.

The donation, therefore, also serves as another show of support from Nvidia’s orbit toward CoreWeave. This is not the first time Nvidia has backed the firm. In January, Nvidia invested $2 billion in CoreWeave, becoming the company’s second-largest shareholder at the time. Moreover, Nvidia signed a $6.3 billion deal last year to purchase any CoreWeave cloud capacity not sold to customers.

Despite the philanthropic angle, the broader Nvidia-CoreWeave relationship has drawn investor scrutiny. Specifically, critics have raised concerns about potential circular financing, a pattern where Nvidia invests in companies that then use Nvidia’s own products. Nvidia has faced similar questions over its investments in OpenAI, the maker of ChatGPT, as well as other so-called neocloud firms.

Meanwhile, CoreWeave recently raised the lower end of its capital spending forecast, citing higher prices for key components.

Ultimately, the $108.3 million donation reflects a growing trend among tech billionaires channeling AI computing power rather than just cash toward academic and scientific research. For universities with limited budgets, access to high-performance GPU clusters can be transformative. Consequently, such grants are increasingly seen as among the most practical forms of tech philanthropy.

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