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Turing Post · September 4 · 21 min

NVIDIA’s $12.9B Plan to Rule Open-Source AI

NVIDIA was once so hostile to open source that Linus Torvalds gave the company the finger. Today, it maintains open Linux modules, releases hundreds of models and datasets, and has reportedly agreed to buy Hugging Face for $12.9 billion. WHAT?! The change makes sense once we examine what NVIDIA learned from nearly dying with NV1, spending years searching for CUDA’s market, and watching researchers discover deep learning on gaming GPUs. In this episode, we follow that strategy from NV1 and CUDA to NVIDIA’s reported $12.9 billion acquisition of Hugging Face, and ask whether the company has found the most profitable model for open-source AI. *Watch it.* 👉 Subscribe for high-signal AI analysis 👉 Instagram https://www.instagram.com/turingpost_tv 👉 TikTok https://www.tiktok.com/@turingpost_tv 👉 More analysis: https://www.turingpost.com/ 👉 Interviews: @realturingpost Attention Span is here to explain the technical and business choices shaping AI. Links: NVIDIA FY2026 Form 10-K https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm Interview with Spencer Huang (Nvidia) https://www.youtube.com/watch?v=NEv9EnD7JVU&t=1231 Interview with Clem Delangue (Hugging Face) https://www.youtube.com/watch?v=DfJV722V1WY NVIDIA Open Source https://opensource.nvidia.com/en-us NVIDIA on Hugging Face https://huggingface.co/nvidia Reuters on the reported $12.9B agreement https://www.reuters.com/technology/nvidia-talks-acquire-hugging-face-13-billion-deal-business-insider-reports-2026-08-27/ NVIDIA Open GPU Kernel Modules https://github.com/NVIDIA/open-gpu-kernel-modules Turing Post’s history of computer vision and AlexNet https://www.turingpost.com/p/cvhistory6 #NVIDIA #OpenSourceAI #HuggingFace #AI #GitHub

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show notes

NVIDIA was once so hostile to open source that Linus Torvalds gave the company the finger. Today, it maintains open Linux modules, releases hundreds of models and datasets, and has reportedly agreed to buy Hugging Face for $12.9 billion. WHAT?!


The change makes sense once we examine what NVIDIA learned from nearly dying with NV1, spending years searching for CUDA’s market, and watching researchers discover deep learning on gaming GPUs.


In this episode, we follow that strategy from NV1 and CUDA to NVIDIA’s reported $12.9 billion acquisition of Hugging Face, and ask whether the company has found the most profitable model for open-source AI.


*Watch it.*

👉 Subscribe for high-signal AI analysis

👉 Instagram https://www.instagram.com/turingpost_tv

👉 TikTok https://www.tiktok.com/@turingpost_tv

👉 More analysis: https://www.turingpost.com/

👉 Interviews: @realturingpost

Attention Span is here to explain the technical and business choices shaping AI.


Links:

NVIDIA FY2026 Form 10-K https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm 

Interview with Spencer Huang (Nvidia) https://www.youtube.com/watch?v=NEv9EnD7JVU&t=1231

Interview with Clem Delangue (Hugging Face) https://www.youtube.com/watch?v=DfJV722V1WY 

NVIDIA Open Source https://opensource.nvidia.com/en-us

NVIDIA on Hugging Face https://huggingface.co/nvidia

Reuters on the reported $12.9B agreement https://www.reuters.com/technology/nvidia-talks-acquire-hugging-face-13-billion-deal-business-insider-reports-2026-08-27/

NVIDIA Open GPU Kernel Modules https://github.com/NVIDIA/open-gpu-kernel-modules

Turing Post’s history of computer vision and AlexNet https://www.turingpost.com/p/cvhistory6


#NVIDIA #OpenSourceAI #HuggingFace #AI #GitHub