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Newton is a GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
Newton extends and generalizes Warp's (deprecated) warp.sim module, and integrates
MuJoCo Warp as its primary backend. Newton emphasizes GPU-based computation, OpenUSD support, differentiability, and user-defined extensibility, facilitating rapid iteration and scalable robotics simulation.
Newton is a Linux Foundation project that is community-built and maintained. Code is licensed under Apache-2.0. Documentation is licensed under CC-BY-4.0. Additional and third-party license texts are available in newton/licenses.
OS: Linux (x86-64, aarch64), Windows (x86-64), or macOS (CPU only)
GPU: NVIDIA GPU (Maxwell or newer), driver 545 or newer (CUDA 12). No local CUDA Toolkit installation required. macOS runs on CPU.
For detailed system requirements, see the installation guide. For tested configurations and Newton's versioning and deprecation policies, see the compatibility guide.
Before running the examples below, install Newton with the examples extra:
pip install "newton[examples]"
If you run the examples from a source checkout with uv, use
uv run --extra examples -m newton.examples <example_name> instead of the
python -m newton.examples <example_name> commands below.
All examples share a common set of command-line options. The most commonly used ones are:
Argument
Description
Default
--viewer
Viewer to use: gl, usd, rtx, rerun, viser, or null.
gl
--device
Compute device to use, e.g., cpu, cuda:0.
None (default Warp device)
--num-frames
Total number of frames to simulate.
100
--output-path
Path to the output USD file (used by the usd viewer).
output.usd
For the complete, always-current list of options — plus any arguments a specific example adds — run:
python -m newton.examples <example_name> --help
Example Usage
# List available examples
python -m newton.examples --list
# Run with the USD viewer and save to my_output.usd
python -m newton.examples basic_viewer --viewer usd --output-path my_output.usd
# Run on a selected device
python -m newton.examples basic_urdf --device cuda:0
# Combine options
python -m newton.examples basic_viewer --viewer gl --num-frames 500 --device cpu