Re:Fast, GPU-native differentiable physics and beyond with T...
by dionhaefner on Friday October 30, 2026 @09:25AM
(#50303561)
We thought it would be cool to be able to run GPU workloads across process boundaries from JAX and torch. Train your torch networks through Julia, C++ solvers with adjoints, or any arcane autodiff potion you choose to concoct – now certified fresh without host round trips. Bon apetit!
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