AI model hosting platform
Appears in 7 stories · Last updated Nov 8, 2026
Hosts SAM 3 model checkpoints and documentation
For years, computer vision models recognized a fixed list of objects. Ask for “the striped red umbrella” and they had no label for it. Meta’s SAM 3 takes plain noun phrases and returns masks for every matching object, then follows those objects through video.
Updated 3 days ago
Hosts the Large 4 open weights
Mistral's trillion-parameter flagship, nicknamed Le Chonk, can now be downloaded and run on a customer's own machines; the Paris lab published the open weights on October 29 after three more weeks of training. On November 5 it added tools to Mistral Studio for building multi-step AI agents, automated workflows and hosted apps, all built to run on the model.
Developer and publisher of Carbon-X
Hugging Face released Carbon-X on October 22, an open model that reads DNA and answers questions about it in English. At 14.8 billion parameters it fits on a single graphics card, so a lab can query patient sequences without sending them to a cloud service.
Updated Nov 3
Distribution platform for model weights
Google DeepMind released EmbeddingGemma 2 on October 6. The 740-million-parameter model turns text, code, images, video, and audio into lists of numbers that can be compared in one shared space. It runs on a phone or laptop, and its weights are open under the Apache 2.0 license.
Updated Oct 22
As of September 2026: Model host
NASA is targeting 2028 for humans to walk on the Moon again. Before astronauts land, scientists must find ice in shadowed craters and identify safe terrain. On September 11, that mapping work got a new tool: an open-source AI model built by IBM and NASA.
Updated Sep 11
As of September 2026: Acquisition target; agreed to be acquired by Nvidia
Nvidia confirmed on Sept. 3 that it agreed to buy Hugging Face for $12.93 billion. The signed deal includes an $11.9 billion payment to shareholders plus up to $1 billion in stock for employees.
Updated Sep 5
As of May 2026: Primary distribution platform for Gemma 4
For two years, the most capable artificial intelligence models lived behind paywalls and API meters. Google made that harder to justify on April 2, 2026, when it released Gemma 4: four open models ranging from 2 billion to 31 billion parameters. The models handle text, images, video, and audio under a fully permissive Apache 2.0 license with no usage restrictions. The competitive response was nearly immediate. Meta released Llama 5 just six days later, significantly ahead of its previously signaled Q3 2026 target. Chinese lab DeepSeek followed on April 24 with its V4 model, a 1.6 trillion-parameter system also shipped as open-source under an MIT license. What began as a bilateral licensing contest between Google and Meta has become a six-way open-model race.
Updated May 30
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