Nvidia has agreed to acquire Hugging Face for $12.9 billion, according to reporting from The Information. Parallel reports from Business Insider, Bloomberg, and Reuters confirm that the companies engaged in advanced acquisition negotiations valuing the open-source artificial intelligence hub between $12.9 billion and $13 billion.
The transaction marks the largest software and developer platform acquisition in Nvidia's history, placing the primary distribution nexus for open-weight foundation models, evaluation datasets, and machine learning libraries directly under the semiconductor company's corporate umbrella.
Valuation History and M&A Process
Hugging Face was previously valued at $4.5 billion in its August 2023 Series D funding round, which raised $235 million led by Salesforce Ventures with strategic participation from Google, Amazon, Nvidia, Intel, AMD, Qualcomm, and IBM.
Earlier in 2026, Hugging Face rejected an unsolicited $500 million direct investment proposal from Nvidia that would have valued the startup at $7 billion. At the time, Hugging Face leadership cited a mandate to preserve platform neutrality and prevent concentrated governance by any single silicon vendor.
Hugging Face subsequently retained an investment bank to solicit formal acquisition proposals. Microsoft held exploratory discussions with Hugging Face leadership, but those talks stalled before reaching formal terms. Nvidia emerged as the winning bidder at the $12.9 billion valuation. We covered the earlier stages of the process in Hugging Face explores a sale.
Business Fundamentals and Ecosystem Footprint
Founded in 2016 by Clément Delangue, Julien Chaumond, and Thomas Wolf, Hugging Face evolved from an open conversational chatbot experiment into the central repository for the global open-source machine learning ecosystem.
Key operational metrics include:
- Revenue Run Rate: Crossed $100 million in annualized recurring revenue (ARR) in mid-2026, driven by Enterprise Hub contracts, compute endpoints, Spaces hosting, and private inference APIs.
- Capital Position: The company operated near cash-flow break-even, having consumed minimal primary capital from its 2023 financing.
- Repository Scale: Hosts over 1.5 million public model checkpoints, 300,000 datasets, and 250,000 interactive Spaces applications.
- Core Libraries: Maintains industry-standard open-source packages including Transformers, Datasets, Accelerate, PEFT, TRL, and LeRobot.
Strategic Alignment and Architecture Integration
For Nvidia, controlling Hugging Face secures direct ownership of the developer onboarding and model distribution pipeline. While Nvidia dominates training and inference hardware through its Hopper, Blackwell, and upcoming Rubin architectures, developer workflows often begin on Hugging Face's Hub rather than proprietary software stacks.
The acquisition enables tighter hardware-software coupling across several initiatives:
- NIM Microservices and Container Integration: Native packaging of Hugging Face repositories into Nvidia Inference Microservices (NIM), enabling one-click deployment to DGX Cloud and enterprise clusters.
- NeMo and TensorRT-LLM Toolchains: Standardizing post-training, quantization (FP4/INT4), and inference kernel compilation directly on repository assets.
- Physical AI and Robotics: Consolidating Hugging Face's LeRobot robotics library with Nvidia Isaac GR00T foundation models and Cosmos world simulators.
Open-Source Neutrality and Regulatory Scrutiny
The acquisition will face intense regulatory evaluation from US, UK, and European antitrust authorities given Nvidia's commanding share in AI accelerator hardware.
Update, October 28: Reuters reported that the US Justice Department is asking how the deal would affect competition in AI. See our report on the DOJ's questions about the Hugging Face deal.
Industry observers and open-source advocates are closely tracking how Nvidia addresses multi-hardware backend support. Hugging Face currently provides Day-0 optimizations and runtime kernels for competing silicon architectures, including AMD ROCm, Intel Gaudi, Apple Silicon (MLX), Google TPUs, and AWS Trainium. Nvidia will face pressure to maintain open APIs and neutral hardware backends to retain the global developer community.
Update (Oct 19, 2026)
- The deal lands as closed labs build their own compute paths. OpenAI is developing chips with Broadcom and has deals with Cerebras and AMD, The Decoder reported.
- It also follows other platform consolidation: Stripe reportedly paid more than $7 billion for OpenRouter, according to TechCrunch.
Sources
- The Information: Nvidia Agrees to Buy Open-Source Model Repository Hugging Face for $12.9 Billion
- Business Insider: Nvidia in Talks to Acquire Hugging Face for More Than $13 Billion
- Bloomberg: Nvidia Discussed Buying AI Startup Hugging Face, Insider Says
- Reuters: Nvidia in Talks to Acquire Hugging Face in $13 Billion Deal
- TechCrunch: Nvidia closes in on Hugging Face acquisition
- The Decoder: Nvidia snaps up Hugging Face for $12.9 billion as closed AI labs pull away
