$ ./ai-factory/isaac-sim
Isaac Sim & Robotics_
Crashing a real robot costs money. Crashing a simulated one costs nothing. Isaac Sim environments let robots train around the clock and arrive on the floor already knowing the job.
10,000 episodes / night · synthetic frames: 2.4M
success rate 99.2% · zero damaged hardware
What's in scope
Robot Simulation Environments
Physics-accurate scenes of your facilities, lines, and equipment.
Synthetic Data Generation
Labeled training data at scale for perception models, without a camera on site.
Simulation Infrastructure
GPU compute sized and operated for large-scale physics and rendering.
Sim-to-Real Transfer
Policies validated in simulation and deployed to physical robots with confidence.
Digital Twin Integration
Robot simulations wired into the same twins the digital artists build.
Fleet Testing & Validation
Regression-test robot behavior virtually before every rollout.
The rest of the factory
Run:ai GPU Orchestration
Fractional GPUs, quotas, and fair-share scheduling, so every team gets compute without contention.
Learn moreNIM Inference Microservices
Optimized, containerized model serving with NVIDIA NIM: production inference endpoints in minutes.
Learn moreAgentic AI
AI agents built on NIM and NeMo that reason, use tools, and automate real enterprise workflows.
Learn moreOmniverse & Digital Twins
Photorealistic digital twins crafted by in-house digital artists, backed by GPU simulation.
Learn moreDGX & SuperPOD Infrastructure
The factory floor itself: NVIDIA workstations, servers, and SuperPODs sized, cabled, and run as one system.
Learn more