3DGS implementation in Nvidia Warp: clean, minimal, runs on CPU and GPU
CPU & GPU with Zero Hassle Built with NVIDIA Warp, the same code runs seamlessly on both CPU and GPU — no need to deal with CUDA setup, driver issues, or device-specific kernels. Just flip one config line. Learn Modern Graphics the Easy Way Explore core concepts in differentiable rendering and parallel graphics programming — no need for expensive GPUs or thousands of lines of boilerplate. Minimalist & Educational This isn’t another massive codebase. It’s a clean, hackable implementation built for clarity — perfect for study, prototyping, or teaching yourself how Gaussian Splatting works.
In plain words
This is a clean, minimal implementation of 3D Gaussian Splatting built with NVIDIA Warp that runs on both CPU and GPU without requiring separate CUDA setup or device-specific code. Designed for developers and students learning differentiable rendering and parallel graphics programming, it prioritizes clarity over complexity, making it suitable for study, prototyping, and teaching without demanding expensive hardware or extensive boilerplate code.
written from the facts on this page · September 2026
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