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Excited to share: NVIDIA Cosmos 3 Edge is openly available, bringing frontier world models to NVIDIA Jetson Thor and other local devices for physical AI. Read the blog: Learn more about it at today’s SIGGRAPH keynote—in person or via livestream at 3:45 p.m. PT:

49,482 Aufrufe • vor 1 Monat •via X (Twitter)

26 Kommentare

Profilbild von Numan
Numanvor 1 Monat

wow Jensen is looking great

Profilbild von Jacob Loewenstein
Jacob Loewensteinvor 1 Monat

can i run it on my cybertruck?

Profilbild von 😎🔥🚀 Noah 💖 His Friends & #AR#VR#MR#XR 👓
😎🔥🚀 Noah 💖 His Friends & #AR#VR#MR#XR 👓vor 1 Monat

The Cybertruck is @nvidia colored 💚💚

Profilbild von howlshot🏴‍☠️
howlshot🏴‍☠️vor 1 Monat

Ming! Sign it and the jacket!

Profilbild von EgoScale
EgoScalevor 1 Monat

Exciting to see frontier world models moving on-device. As post-training becomes easier, the quality and diversity of real-world data will matter even more—especially for adapting one model across different embodiments, sensors, and environments.

Profilbild von AI Apps API
AI Apps APIvor 1 Monat

On-device is the piece that makes agents actually deployable at the edge. The moment an agent has to round-trip to the cloud to reason, latency and reliability kill half the use cases, robotics and live video especially. A 4B world model that runs locally matters more for real deployments than another leaderboard number.

Profilbild von ASIndex.ai
ASIndex.aivor 1 Monat

Nice. And nice ride! @cybertruck

Profilbild von Jonathan Aerogel
Jonathan Aerogelvor 1 Monat

Cosmos 3 Edge on Jetson is the announcement that matters. 4B parameters locally for physical AI. That's where deployment gets hard. Edge inference is the real challenge.

Profilbild von seminarahost
seminarahostvor 1 Monat

open world models on-device changes the game for more than robotics. weve been testing edge inference for seminara and removing cloud round-trip latency makes real-time agent interaction feel instant. local-first isnt just a privacy play anymore

Profilbild von o3irieromm osmvokmv
o3irieromm osmvokmvvor 1 Monat

must been the wind....bro is NOT Huang XDDD

Profilbild von Hussain Fakhruddin
Hussain Fakhruddinvor 1 Monat

Bringing world models straight to edge devices is a big step.

Profilbild von B.E.Verins
B.E.Verinsvor 1 Monat

AI does not “reason” It works with statistical probability

Profilbild von Fábio William
Fábio Williamvor 1 Monat

Parece um Tojo que meu pai tinha

Profilbild von Mike Gannotti
Mike Gannottivor 1 Monat

So question looking at the Jetson Thor speeches me wondering can that be clustered with an @NVIDIAAI DGX Spark?

Profilbild von Mert Efe Sevim
Mert Efe Sevimvor 1 Monat

@NVIDIARobotics

Profilbild von sdm
sdmvor 1 Monat

carl pei in alternate reality

Profilbild von Steve Hou
Steve Houvor 1 Monat

Bold color!

Profilbild von prasanna
prasannavor 1 Monat

ngl you act like you have inserted one of it

Profilbild von TheDigitalRetailHivemindNetwork💹🧲
TheDigitalRetailHivemindNetwork💹🧲vor 1 Monat

@NVIDIAAI Nvda building the whole ecosystem brick by brick

Profilbild von Stumblinz
Stumblinzvor 1 Monat

That's awesome! Times like this make me miss the valley.

Profilbild von AuxReignots
AuxReignotsvor 1 Monat

Why you dressed like GenZ Huang

Profilbild von Durr
Durrvor 1 Monat

@NVIDIAAI It’s this guys world and we’re just living in it tbh

Profilbild von Man from Atlantis @ SF
Man from Atlantis @ SFvor 1 Monat

Are selling cyber track 😉

Profilbild von Mathew Youssef
Mathew Youssefvor 1 Monat

How does this integrate with agentic harnesses and long horizon tasks? Asking a robot to put a 'yellow block on a red block' Is cool, but if I want it to remember that its goal is: 'build a tower 5 blocks tall', it seems like that would require more than action, reason, predict

Profilbild von tian/天
tian/天vor 1 Monat

Nice jacket 😅

Profilbild von Dr Ganglion
Dr Ganglionvor 1 Monat

Has the Jensen Huang leather-jacket uniform now become mandatory for @nvidia VPs?

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