NVIDIA PhysicsNeMo v25.06 introduces significant improvements including a new DoMINO NIM with enhanced accuracy for vehicle aerodynamics, 10x faster training recipes, and 25x speedup for CorrDiff weather downscaling models. The release adds customizable validation benchmarks for physics-based AI model evaluation, new training samples for structural mechanics and flood dynamics modeling using graph neural networks, and reference workflows for hybrid solver initialization. Previous versions have progressively added support for various neural architectures like GraphCast, StormCast, and FourCastNet, along with distributed training capabilities and physics-informed neural operators for applications ranging from weather prediction to molecular dynamics.
Table of contents
New features/Highlights v25.06New features/Highlights v25.03New features/Highlights v24.12New features/Highlights v24.09New features/Highlights v24.07New features/Highlights v24.04New features/Highlights v24.01New features/Highlights v23.11New features/Highlights v23.09New features/Highlights v23.08New features/Highlights v23.05New features/Highlights v22.09New features/Highlights v22.07New features/Highlights v22.03Feature SummaryKnown IssuesSort: