This NVIDIA blog post describes how agentic AI workflows can be used to prepare and validate digital twins for physical AI systems, with agents capable of inspecting 3D scenes and authoring simulation-relevant data.
NVIDIA's PINN framework built on neural operators (FNO/DeepONet/AFNO) for end-to-end differentiable physics simulation, with multi-GPU training and deployment.
NVIDIA's physics-ML training framework (formerly Modulus) with PINN, neural operators and physics-constrained training - commercial-friendly, industry-first choice.
