Rust-GPU/rust-cuda
Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust. observed · 2026-08-28
Health v2 · maintenance only
67/100
- Activity 98
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1781
- days_rel: n/a
- days_push: 16
- n_releases_24m: 0
Adoption not part of the score
5330 stars · 244 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
An ecosystem of Rust libraries and tools for writing and executing fast GPU code fully in Rust, targeting NVIDIA CUDA. It lets developers author CUDA kernels and GPU programs without leaving the Rust language.
Use cases
- write CUDA kernels in Rust
- run GPGPU computations from Rust
- compile Rust code to NVIDIA GPU
- accelerate numerical workloads on GPU
- avoid writing C++ for CUDA programming
- build GPU-accelerated Rust applications
When to choose
- you want to write GPU code in pure Rust instead of CUDA C++
- your project is Rust-based and needs NVIDIA GPU acceleration
- you can tolerate an early-stage, evolving toolchain
When to avoid
- you need production-stable, battle-tested CUDA tooling today
- you target non-NVIDIA GPUs (AMD/Intel) rather than CUDA
- you need mature debugging and profiling support for GPU kernels
Facets
library · maturity experimental
gpu-computing compiler build-tool developer-tools gpu-computing developer-tools programming-languages performance rust windows cross-platform cuda gpgpu cuda-kernels rust-lang nvidia gpu linux
1 source
- readme: https://github.com/Rust-GPU/rust-cuda · fetched 2026-08-28 · c7de6ac531c9
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Rust-GPU/rust-cuda | main | 67 |
For agents
markdown · JSON · MCP: product_card(name="Rust-GPU/rust-cuda")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem