Nvidia收購Hugging Face評測：129億美元買下開源命脈 | Nvidia Hugging Face Review: $12.9B Buys Open-Source AI Hub

9月 04, 2026

By Kit 小克 | AI Tool Observer | 2026-09-04

🇹🇼 Nvidia收購Hugging Face評測：129億美元買下開源命脈

Nvidia在9月3日正式宣布，將以129億美元收購全球最大的開源AI模型平台Hugging Face，其中119億美元付給股東，另外10億美元以股權形式留任Hugging Face員工。這是Nvidia史上第二大收購案，僅次於去年底以200億美元買下Groq資產，交易預計在明年上半年完成。

Nvidia到底買了什麼

Hugging Face不是單一產品，而是整個開源AI生態系的樞紐：超過1800萬名開發者在上面存放300萬個模型、50萬個資料集、100萬個應用，超過20萬家企業靠它尋找、評估、部署AI模型。換句話說，Nvidia這次買的不是技術，而是整個產業找模型、放模型的第一站——等於掌握了開源AI流量的入口。CEO黃仁勳親自出面承諾，Hugging Face會維持對AMD、Google等競爭硬體開放，平台不會變成Nvidia專屬。

開發者最擔心的事：中立性能撐多久

問題出在這個承諾很難從外部驗證。AMD、Intel、Google這些用Hugging Face發布或測試模型的公司，現在最怕兩件事：一是效能上被暗中「讓一手」給Nvidia晶片；二是Nvidia從此能看到誰在下載什麼模型、哪個框架比較紅、哪個新創在悄悄崛起——這些資料本身就是戰略情報。The New Stack形容這筆收購「一腳踏進地雷區」：Hugging Face的價值建立在中立與開放上，一旦被視為選邊站，開發者社群可能用腳投票，轉去GitHub或其他託管平台。

對開發者的實際影響

短期內不會變：交易要到2027上半年才會完成，現有模型下載、推論流程照常運作
觀察重點：日後Hugging Face的推論後端、Spaces算力，是否明顯偏向Nvidia GPU
備援心態：重要專案建議保留模型的本地備份或第二個託管來源，不要把雞蛋全放一個籃子

這筆收購把Nvidia的觸角從晶片延伸到整個AI供應鏈的入口，但買下平台容易，買下開發者的信任難。好不好用，試了才知道。

🇺🇸 Nvidia Hugging Face Review: $12.9B Buys Open-Source AI Hub

Nvidia confirmed on September 3 it will acquire Hugging Face, the world's largest open-source AI model platform, for $12.9 billion — $11.9B to shareholders plus $1B in retention equity for Hugging Face staff joining Nvidia. It's Nvidia's second-largest acquisition ever, behind last year's $20B Groq asset purchase, and is expected to close in the first half of next year.

What Nvidia Is Actually Buying

Hugging Face isn't a single product — it's the hub the entire open-source AI ecosystem runs through. Over 18 million developers host more than 3 million models, 500,000 datasets, and 1 million apps there, and 200,000+ companies use it to find, evaluate, and deploy models. Nvidia isn't just buying technology; it's buying the front door where the industry finds and ships open models. CEO Jensen Huang publicly pledged Hugging Face will stay open to AMD, Google, and other competing hardware — not become a Nvidia-only shop.

The Developer Worry: How Long Does Neutrality Hold

The catch is that pledge is hard to verify from the outside. Companies like AMD, Intel, and Google that publish or benchmark models on Hugging Face fear two things: quiet performance advantages for Nvidia chips, and Nvidia gaining visibility into who's downloading what, which frameworks are trending, and which startups are quietly gaining traction — data that's strategically valuable on its own. The New Stack called the deal a step "straight into a minefield": Hugging Face's value depends on neutrality, and if the community starts to see it as picking sides, developers can simply migrate to GitHub or another host.

What This Means for You

Nothing changes today — the deal doesn't close until early-to-mid 2027, so downloads and inference keep working as-is
What to watch: whether Hugging Face's inference backend and Spaces compute quietly tilt toward Nvidia GPUs
Practical move: for critical projects, keep a local mirror or a second hosting source for your models — don't rely on a single platform

Nvidia just extended its reach from chips to the front door of the entire AI supply chain. Buying the platform is easy; buying developer trust is not. 好不好用，試了才知道 — you won't know until you try it.

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