Missed our NuRec livestream? Watch the replay: See how NVIDIA Omniverse NuRec generates novel camera views from recorded drives — so you can adapt AV perception across sensor configs and vehicle platforms without starting over.

Just a shower thought on $AMD vs $NVDA Right now Nvidia undoubtedly dominates in robotics (Isaac, Omniverse, GR00T, Jetson). They own the whole development stack robots get built/trained on. Once humanoids are scaling massively (when we're out of dev. phase) and it becomes a cost competition, this is typically where $AMD outperforms Nvidia. Not to mention, its embedded/adaptive silicon (Xilinx) is crucial to real-time robotics control, which $NVDA doesn't have. Ofc this is contingent on robotics becoming progressively more mainstream. Just wanted to toss this thought out there. TLDR: wouldn't bet against $NVDA or $AMD in the long-run, but when it comes to robotics scaling, $AMD should have a higher upside.

At NVIDIA GTC, Rev Lebaredian, VP of Omniverse and Simulation Technology, called today’s agents “software robots that can do knowledge work” and says we’re at the start of a revolution in how we work, build, and create value. Get a glimpse of that future in this GTC session: Accelerate the Physical AI Era With Digital Twins and Real-Time Simulation

Nvidia $NVDA CEO Jensen Huang brought AI-trained Microduck robots onstage at GTC Berlin, where they walked and performed somersaults. Their skills were developed using RTX Spark, Omniverse simulations and cloud training. (Via @wallstengine, Original source: @NVIDIA)

$NVDA is bringing Physical AI to GTC Berlin with a full robotics track around humanoids, embodied AI and Jensen’s keynote on Oct 21. Nvidia is using Cosmos and GR00T pull developers in while DGX, Omniverse and Jetson monetize everything from training to deployment.

Sensor shifts create new questions about perception coverage — and re-collecting data isn't always an option. Join us on 9/16 to see how NVIDIA Omniverse NuRec uses neural reconstruction to generate new camera viewpoints from existing drive data. 📅

$NVDA and $AMZN are deepening their AI partnership with AWS set to deploy 2M more Nvidia GPUs through Q2 FY29 and another 100,000 GPUs for secure U.S. government data centers. AWS is also adopting more of Nvidia’s stack beyond GPUs from Vera and Nemotron to Omniverse, Cosmos, Isaac and Jetson across cloud and robotics.

Grid operations are becoming more dynamic and @Siemens_Energy is using AI and simulation to keep pace. 💡 Siemens Energy's Rishabh Mishra joined Lara Sophie Bothur to share how NVIDIA Omniverse, Isaac Sim, Cosmos and Metropolis Blueprint for video search and summarization are helping power digital twins, autonomous inspection robots and visual AI agents for the grid.