Skild AI open-sources Steel, a physics solver built with NVIDIA
Skild AI has released Steel, an internal physics solver developed with NVIDIA. The tool claims to run simulations up to 13x faster than PhysX while using about 3x less GPU memory, aiming to enable scalable simulation for manipulation tasks.
Skild AI has open-sourced 'Steel', an internal physics solver developed in collaboration with NVIDIA, which claims to run simulations up to 13 times faster than PhysX while using approximately 3 times less GPU memory.
Source: Skild AI — X · Read original article ↗
Article text · Original source · English
Today we’re open-sourcing Steel, our internal physics solver built with @NVIDIA.
It runs simulations up to 13× faster than PhysX while using ~3× less GPU memory.
Steel unlocks scaleable simulation for manipulation, for everyone.
What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
- Environment
- SimulationOpen source S2
- paper: not_reported
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
It runs simulations up to 13× faster than PhysX while using ~3× less GPU memory.
Open source S2
Today we’re open-sourcing Steel, our internal physics solver built with @NVIDIA.
Open source S1
Source：Skild AI · x.com