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Nvidia Puts a 4B World Model on the Robot [Weekly Physical AI Roundup]

Jay Chia· ·4 min read · 0 reactions · 0 comments · 18 views
Nvidia Puts a 4B World Model on the Robot [Weekly Physical AI Roundup]
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NVIDIA Puts a 4B World Model on the Robot World models are usually too heavy for the control loop and run on a server. Cosmos 3 Edge is small enough to run on-device.Jay ChiaJul 23, 2026ShareCosmos 3 Edge, running on a JetsonCosmos 3 Edge is a 4B world foundation model built as a Mixture-of-Transformers, pairing an autoregressive reasoner with a diffusion generator that produces the action chunk. NVIDIA reports it running at roughly 15 Hz on a Jetson Thor at 640×360 and 32 actions per inference, generalizing across humanoids, grippers, and driving.

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Substack · Jay Chia
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Original publisherSubstack
Canonical URLhttps://topicqueue.substack.com/p/nvidia-puts-a-4b-world-model-on-the
Publication timeThu, 23 Jul 2026 22:58:24 +0000
Retrieval time2026-07-24T02:46:12.463Z
Last seen2026-07-24T02:46:12.463Z
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Opening excerpt (first ~120 words) tap to expand

NVIDIA Puts a 4B World Model on the Robot World models are usually too heavy for the control loop and run on a server. Cosmos 3 Edge is small enough to run on-device.Jay ChiaJul 23, 2026ShareCosmos 3 Edge, running on a JetsonCosmos 3 Edge is a 4B world foundation model built as a Mixture-of-Transformers, pairing an autoregressive reasoner with a diffusion generator that produces the action chunk. NVIDIA reports it running at roughly 15 Hz on a Jetson Thor at 640×360 and 32 actions per inference, generalizing across humanoids, grippers, and driving. The release includes open weights, a Cosmos-3-Edge-Policy post-trained on DROID for pick-and-place, and the post-training scripts to adapt it to your own setup.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Substack.

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