Hugging Face, the world's largest open source AI community, will provide $10 million in shared GPUs for free to help small businesses compete with large companies

world's largestOpen Source AI community Hugging Face(commonly known as "Cuddleface") has announced that it will offer $10 million in free shared GPU Help developers create new AI technologies.

Hugging Face, the world's largest open source AI community, will provide $10 million in shared GPUs for free to help small businesses compete with large companies

Specifically, Hugging Face made this move with the intention ofHelping small developers, researchers, and startups take on large AI companies to avoid "centralization" of AI progress.

In an interview with The Verge, Hugging Face CEO Clem Delangue said he feels fortunate to have been able to invest in the community, and that the investment was made possible byIt's because the company"Already profitable, or on the road to profitability"Hugging Face. Hugging Face also raised $235 million in funding some time ago, valuing the company at $4.5 billion.

Clem Delangue expressed concern about the current AI startup vs. tech giant competition, as the code for generative AI products such as GPT4 is still "Hidden Inside a Big Company". Not only do these companies have the economic power to keep their models "proprietary", but they can also utilize billions of dollars of computing resources to compound what they have already accomplished and get ahead of their competitors.Making it impossible for startups to keep up.

He said,Hugging Face aims to make state-of-the-art AI technologies available to everyone, not just "exclusive" to tech giants.The company aims to level the playing field by donating these shared GPUs to the community through a new program called ZeroGPU. The company aims to level the playing field by donating these shared GPUs to the community through a new program called ZeroGPU. "It's very difficult to get enough GPUs from the major cloud providers, and the way in which they are obtained, the long term commitment to a large number of GPUs, creates a high barrier to entry."

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