๐ก๐๐ถ๐ฑ๐ถ๐ฎ ๐๐ฎ๐๐ป๐ฐ๐ต๐ฒ๐ ๐ก๐ฒ๐ ๐ฃ๐ต๐๐๐ถ๐ฐ๐ฎ๐น ๐๐ ๐ง๐ผ๐ผ๐น๐
Nvidia wants to fix robotics. Current tools are split. This split slows down research. Nvidia launched new skills to automate the workflow.
Here are the key tools:
- Alpamayo 2 Super: A 32B model for self-driving cars.
- Cosmos 3: A model for vision and action.
- InstantNuRec: Creates 3D scenes fast.
- AlpaGym: Scales training across thousands of GPUs.
- OmniDreams: Makes real-time images.
Robotics research has a problem. Researchers struggle with rare road events. These are long tail events. These tools help you create synthetic data for these events. This makes training safer and faster.
Nvidia also released Nemotron 3 Ultra. They are shipping new hardware to CoreWeave. The goal is to make AI agents a reality by 2026.
Watch if startups use these models to speed up their work.
Source: blogs.nvidia.com Optional learning community: https://t.me/GyaanSetuAi