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Nvidia reportedly acquires Hugging Face in defensive move, DA Davidson comments

Nvidia reportedly acquires Hugging Face in defensive move, DA Davidson comments

Nvidia is reportedly set to acquire Hugging Face, a prominent AI model hub and open-source AI tools platform, as part of a defensive strategy, according to investment firm DA Davidson. Hugging Face, founded by three French entrepreneurs and based in New York, serves as a repository for AI models and open-source AI tools, generating an estimated $150 million in annual revenue. The company has drawn comparisons to GitHub, before its acquisition by Microsoft, in terms of its impact on the AI development ecosystem.

The acquisition by Nvidia aims to prevent major AI labs or Google from gaining control over the platform, which could potentially hinder open-source AI development in the United States. This move comes in response to concerns raised by Microsoft's acquisition of GitHub, which left other companies at a disadvantage. Google subsequently supported GitLab as an alternative.

Hugging Face recently participated in OpenAI's security demonstration, where the company collaborated with third-party researchers to exhibit how AI agents could identify and exploit vulnerabilities within the platform. This demonstration was part of ongoing efforts by OpenAI and Anthropic to emphasize AI security concerns. In contrast, Anthropic has taken a different approach by partnering with Salesforce to boost token usage from enterprise customers, with the goal of steering Salesforce customers away from open-source token alternatives.

DA Davidson suggested that both semiconductor companies and hyperscalers could stand to benefit from the sustained development of open-source AI. This acquisition was reported with the assistance of artificial intelligence and subsequently reviewed by an editor. For further details, readers are directed to the article's Terms and Conditions.

Written by urgent.news from Investing.com's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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