Nvidia Acquires Hugging Face for $12.9 Billion

Nvidia has announced its intention to acquire Hugging Face for $12.9 billion, marking one of the largest deals in its history.
Nvidia has agreed to acquire Hugging Face for $12.9 billion. The deal is not yet finalized, but it is one of the largest in Nvidia's history. Hugging Face's annual revenue is estimated at around $150 million, and the company was valued at $13 billion during negotiations.
Nvidia Officially Acquires Hugging Face
Exact deal amount: $12,930,300,000.
Nvidia promises to continue supporting HF's mission and principles of openness, independence, and universality regarding hardware.
We believe that together we can make open source the default method for model development.
Nvidia shares 📈
Why it matters
AnalysisThis acquisition highlights the growing importance of open technologies in the AI field and could significantly impact the development of AI models.
Discuss in community
Share your questions and insights with developers
Related in Ecosystem
Practical guides, core terminology, and agent skills
Nvidia's Monopoly and the CUDA Platform
An analysis of Nvidia's technological and economic dominance in the AI market. The CUDA (Compute Unified Device Architecture) platform, created in 2006, transformed ordinary gaming GPUs into the planet's primary computational tool, making it difficult for competitors like AMD and Intel to break this monopoly.
Binance publishes investigation into $6.3 billion theft
Binance’s investigation links the theft to a modified Homebrew download, a fake interview and abuse of an internal AI tool.
JSON — Structured Data for Programs, APIs, and AI Agents
A complete hands-on guide to JSON: syntax specifications, serialization via parse and stringify, REST API consumption, JSON Schema validation, and structured outputs for LLMs.
DOCX and XLSX Formats: When AI Needs to Deliver Production-Ready Documents
A comprehensive hands-on guide to generating and processing DOCX documents and XLSX workbooks with AI: comparing against Markdown and CSV, prompt engineering, formula design, and code automation.