gsplat documentation

2025-09-26

1 min read time

Applies to Linux

gsplat (Gaussian splatting) is an open-source library for GPU-accelerated differentiable rasterization of 3D Gaussians with Python bindings.

This ROCm-enabled release of gsplat is built on top of PyTorch for AMD ROCm, enabling innovators in computer graphics, machine learning, and 3D vision to leverage GPU acceleration with AMD Instinct™ GPUs. With gsplat, you can build, research, and innovate with Gaussian splatting.

The gsplat public repository is located at ROCm/gsplat.

Install

• Install gsplat

Examples

• gsplat examples

Reference

• gsplat API reference

• Benchmarking

• Profiling the library

To contribute to the documentation, refer to Contribute to gsplat.

You can find licensing information on the Licensing page.