Hugging Face hosts millions of models, datasets and demo Spaces, and its Transformers library is the backbone of open ML. Inference endpoints, enterprise hubs and hardware partnerships make it the center of gravity for open-weight AI.
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Nvidia agreed on Sept 3, 2026 to acquire Hugging Face for $12.93B (about $11.9B cash plus up to $1B in staff equity retention); CEO Jensen Huang said the platform stays open, with no requirement to build or deploy on Nvidia compute
Nvidia agrees to buy Hugging Face for $12.9 billion
Nvidia will acquire Hugging Face for $12.93 billion, about $11.9 billion in cash plus up to $1 billion held back as staff equity. Hugging Face hosts three million models, half a million datasets and a million apps used by 18 million developers, on annualized revenue of roughly $150 million — a steep multiple, even for this market. Jensen Huang says the hub stays open: no requirement to run Nvidia compute, and other chips, clouds and frameworks keep working exactly as they do today. It's Nvidia's second-largest acquisition ever, after last year's $20 billion purchase of Groq's assets, and it puts the company that makes the chips in charge of the marketplace where the models trained on them get discovered and shared.
Groq deprecates four workhorse open models on free and developer tiers
Groq is retiring llama-3.1-8b-instant, llama-3.3-70b-versatile, qwen3-32b and llama-4-scout-17b, recommending migration to gpt-oss-20b/120b or qwen3.6-27b. Enterprise committed-spend contracts are exempt. If your stack pins these model IDs, schedule the migration now.