Physical AI & Robotics
9 test casesTraining embodied AI and vision-language-action models for robotics, simulation, and physical world understanding. Includes NVIDIA Isaac Lab, OpenVLA, V-JEPA 2, and more.
NVIDIA Isaac Lab
Sim-to-real robot learning with NVIDIA Isaac Lab on GPU clusters
OpenVLA OFT
Open Vision-Language-Action models with fine-tuning for robotic manipulation
nanoVLM
Lightweight vision-language model training for embodied AI
V-JEPA 2
Video Joint Embedding Predictive Architecture for physical world understanding
Cosmos 3
NVIDIA Cosmos 3 Physical AI flywheel — omnimodal world models for generate → post-train → eval
DreamZero
14B World-Action Model (WAM) for robotic manipulation via video diffusion on EKS
V-JEPA 2.1
Updated Video Joint Embedding Predictive Architecture for physical world understanding
PointWorld
Distributed 3D world model pre-training for robotic manipulation (NVIDIA + Stanford)
OpenVLA
Open Vision-Language-Action model for generalist robotic manipulation