AI / TECH
Why NVIDIA Bet $12.9 Billion on Hugging Face: The Reality of Open-Weight AI
NVIDIA agreed to acquire Hugging Face for $12.93 billion on September 3, with regulatory reviews and other procedures remaining before the actual transaction closes. Open-weight AI discloses model weights but not necessarily the training data and training code, distinguishing it from open-source AI. A core reason companies review open-weight models is not merely cost reduction, but data control and managing dependency on specific AI operators. Hugging Face serves as an open-model distribution infrastructure utilized by more than 3 million models and 18 million developers, for which NVIDIA proposed a corporate value of $12.93 billion. A key focal point following the acquisition is whether Hugging Face can maintain its existing neutrality and openness without leaning toward specific NVIDIA hardware.
Weights Open, Data Closed… Why NVIDIA Staked $12.9 Billion on Hugging Face NVIDIA officially announced on September 3 (local time) that it has agreed to acquire open-model platform Hugging Face for $12.93 billion, which translates to around 18 trillion won. Major foreign media outlets had reported since late August that negotiations between the two sides were in the final stages, and this announcement officially confirmed the acquisition agreement. However, an acquisition agreement and the actual closing of a transaction are not the same thing. Procedures including future regulatory reviews must be passed, and specific integration tasks are also matters to be addressed after the transaction is finalized. What the market is looking at in this transaction is not merely the $12.9 billion price tag. It is more important that the acquisition target chosen by the world's largest GPU company is…
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