NVIDIA is acquiring Hugging Face. Here are the details:
Over the past decade, Clem, Julien, Thomas and the team at Hugging Face have built something remarkable: a vibrant home for the open model developer community.
More than 18 million developers, researchers and creators use Hugging Face to share more than 3 million models, 500,000 datasets and 1 million applications. More than 200,000 companies use the platform to discover, evaluate, customize and deploy AI.
Hugging Face will remain an open platform for the entire AI ecosystem. Developers will choose the models they want, the frameworks they want, the clouds and inference service providers they want and the computing platforms they want. NVIDIA compute will not be required to build on or deploy through Hugging Face.
Hugging Face will continue to support open source and open weight models from across the ecosystem, from every model builder. It will continue to support multi-cloud and multi-accelerator development and deployment, so builders can use the hardware and infrastructure that best fit their work.
Ryan McCurdy, VP, Liquibase:
“NVIDIA’s acquisition of Hugging Face is another sign that the value in AI is moving beyond the models themselves. Models are becoming more available, developers are creating software faster than ever, and AI agents are starting to take action across enterprise systems.
“For enterprises, that creates a new challenge. AI doesn’t just accelerate how quickly change can be created. It increases the volume and speed of changes that can reach critical systems. A bad database change can take an application offline, expose sensitive data, or create an audit and compliance issue.
“That makes the control layer more important. The question isn’t just what AI can create. It’s what AI should be allowed to change, what can reach production, and whether those decisions can be governed and audited. As AI becomes more autonomous, enterprises will need those controls built into the path to production rather than relying on humans to catch problems after the fact.”
AI clearly has value. So based on that I fully expect that this will not be the last purchase that NVIDIA makes.
Related
This entry was posted on September 3, 2026 at 3:56 pm and is filed under Commentary with tags NVIDIA. You can follow any responses to this entry through the RSS 2.0 feed.
You can leave a response, or trackback from your own site.
NVIDIA Acquires Hugging Face
NVIDIA is acquiring Hugging Face. Here are the details:
Over the past decade, Clem, Julien, Thomas and the team at Hugging Face have built something remarkable: a vibrant home for the open model developer community.
More than 18 million developers, researchers and creators use Hugging Face to share more than 3 million models, 500,000 datasets and 1 million applications. More than 200,000 companies use the platform to discover, evaluate, customize and deploy AI.
Hugging Face will remain an open platform for the entire AI ecosystem. Developers will choose the models they want, the frameworks they want, the clouds and inference service providers they want and the computing platforms they want. NVIDIA compute will not be required to build on or deploy through Hugging Face.
Hugging Face will continue to support open source and open weight models from across the ecosystem, from every model builder. It will continue to support multi-cloud and multi-accelerator development and deployment, so builders can use the hardware and infrastructure that best fit their work.
Ryan McCurdy, VP, Liquibase:
“NVIDIA’s acquisition of Hugging Face is another sign that the value in AI is moving beyond the models themselves. Models are becoming more available, developers are creating software faster than ever, and AI agents are starting to take action across enterprise systems.
“For enterprises, that creates a new challenge. AI doesn’t just accelerate how quickly change can be created. It increases the volume and speed of changes that can reach critical systems. A bad database change can take an application offline, expose sensitive data, or create an audit and compliance issue.
“That makes the control layer more important. The question isn’t just what AI can create. It’s what AI should be allowed to change, what can reach production, and whether those decisions can be governed and audited. As AI becomes more autonomous, enterprises will need those controls built into the path to production rather than relying on humans to catch problems after the fact.”
AI clearly has value. So based on that I fully expect that this will not be the last purchase that NVIDIA makes.
Share this:
Like this:
Related
This entry was posted on September 3, 2026 at 3:56 pm and is filed under Commentary with tags NVIDIA. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.