NVIDIA Launches Newton 1.0 for GPU-Accelerated Physics in Industrial Robot Training
NVIDIA released Newton 1.0 at GTC 2026, a physics simulation engine 475x faster than Google's MJX, targeting industrial robot training. The open-source engine addresses challenges in manipulation tasks and aims to bridge the simulation-to-reality gap. It integrates advanced features like signed distance field collision detection and hydroelastic contact modeling. Partnerships with Skild AI and Samsung aim to enhance robotic assembly workflows. The project is supported by the Linux Foundation and involves collaboration with Google DeepMind and Disney Research.
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NVIDIA launched Newton 1.0 at GTC 2026, a physics simulation engine designed for industrial robot training, offering a 475x speed increase over Google DeepMind's MJX on RTX PRO 6000 Blackwell GPUs. The open-source engine focuses on contact-rich simulations for industrial assembly.
The robotic simulation market is nearing $28 billion, with manufacturers striving to improve sim-to-real transfer. Key features include advanced collision detection and hydroelastic modeling. Partnerships involve Skild AI for reinforcement learning in assembly tasks and Samsung for synthetic training data generation. Newton is housed under the Linux Foundation, in collaboration with Google DeepMind and Disney Research, and it ships under open-source licensing.
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