
Nvidia is reportedly in talks to acquire Hugging Face for $13 billion, a move that would strengthen its position in the open-weight AI model sector. This follows Nvidia's $6 billion acquisition of Poolside, another open-weight model builder. The acquisitions reflect Nvidia's strategy to diversify beyond its traditional partnerships with major AI labs, especially as companies like OpenAI develop their own chips. By acquiring Hugging Face, Nvidia would gain access to a large community of developers, potentially increasing the adoption of its hardware. This trend highlights the growing interest in open-weight models as companies seek more control and configurability.
Read originalEarlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
© TechCrunch AIxAI's attempt to dismiss the NAACP's Clean Air Act lawsuit failed after a federal judge ruled that its gas turbines are not exempt mobile sources and that plaintiffs have standing. This legal setback confirms that AI infrastructure operators cannot bypass environmental permitting by classifying heavy industrial equipment as temporary or mobile. The ruling forces xAI to face scrutiny over air quality impacts at its Colossus data center, setting a precedent for how large-scale compute facilities are regulated under existing environmental laws.
© TechCrunch AITechCrunch AI · May 9, 2026 · Related
NVIDIA Blog · July 7, 2026 · Related
Hugging Face Blog · July 17, 2026 · Related
The Verge AI · July 27, 2026 · Related
NVIDIA Blog · August 12, 2026 · Related
TechCrunch AI · August 13, 2026 · Related
The AI Daily Brief · August 26, 2026 · Related
AI News · August 27, 2026 · Related
Hugging Face Blog · September 1, 2026 · Related
AI News · September 3, 2026 · Same story
Lev Selector · September 11, 2026 · Same story
Crunchbase News · September 14, 2026 · Related
The AI Daily Brief · October 13, 2026 · Related
Nvidia in Talks to Acquire Hugging Face for $12.9B
6 developments
OpenAI is scaling back its ambitions as investor appetite for massive AI infrastructure bets cools. The company has lowered its fundraising target from $30 billion to $20 billion, with only $11 billion secured so far against a valuation that has dropped from $1.4 trillion. This retreat signals a growing wariness among Wall Street investors regarding the capital intensity of the AI race, forcing even the most dominant players to adjust their financial expectations.
Sam Altman is pushing back against the local AI trend, arguing that hoarding DRAM in personal devices is a global waste during a severe supply crunch. He points out that consumer hardware sits idle most of the time, whereas cloud data centers achieve the high utilization rates needed to justify the billions invested by players like OpenAI and Stargate. This isn't just an opinion; it's a defense of the centralized infrastructure model against the growing open-source movement. The real-world impact is visible in the locked-up supply from Samsung and SK Hynix, which drives up costs for everyone else.