Sublime
An inspiration engine for ideas
Senior Researcher at NVIDIA, Yuke Zhu, discusses the data flywheel for general-purpose humanoids and how the data pyramid will flip upside down as the flywheel spins. https://t.co/vWscPVKlhr
The Humanoid Hubx.comJim Fan says NVIDIA trained humanoid robots to walk and move like humans -- zero-shot transfer from simulation to the real world.
10 years of learning, compressed into 2 hours of simulation. Turns out you don’t need a giant model to master motion.
“1.5 million parameters, not billion, to... See more
vitrupox.comThe team at @NVIDIAAIDev really nailed it with ViPE!! This SLAM system generated pose, depth, point clouds, etc, in a few seconds! Now to get the output to work with GEN3C...
If you are interested in running this yourself, it took about 5 minutes to get up and running from scratch. https://t.co/BXMVnyguR8
Jonathan Stephensx.com230k GPUs, including 30k GB200s, are operational for training Grok @xAI in a single supercluster called Colossus 1 (inference is done by our cloud providers).
At Colossus 2, the first batch of 550k GB200s & GB300s, also for training, start going online in a few weeks.
As Jensen Huang has... See more
Elon Muskx.com
Simulating physics for robotics! 👾
@NVIDIARobotics just released Newton, an open-source GPU-accelerated physics engine for robotics.
Co-developed with Google DeepMind and Disney Research and managed by the Linux Foundation, Newton is built on Warp and OpenUSD and is now available in beta for... See more