Hardware
Building Custom Atomistic Simulation Workflows for Chemistry and Materials Science with NVIDIA ALCHEMI Toolkit
NVIDIA's ALCHEMI Toolkit is a PyTorch-native framework that lets researchers build custom GPU-accelerated atomistic simulation workflows for chemistry and materials science applications. The initial r
NVIDIA's ALCHEMI Toolkit is a PyTorch-native framework that lets researchers build custom GPU-accelerated atomistic simulation workflows for chemistry and materials science applications. The initial release includes geometry relaxation, molecular dynamics capabilities, and pipeline infrastructure, with key technical features such as batched dynamics kernels, FIRE and FIRE2 optimizers, and integrators for various thermodynamic ensembles. The toolkit offers both single-GPU deployment via FusedStage with torch.compile and multi-GPU distributed pipelines that split simulation stages across devices for large-scale workflows.
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Source: NVIDIA Developer | 2026-04-14