In the news
Introducing CUDA Rust: Two Tracks for Writing GPU Kernels
NVIDIA Developer · Published · 3 min read
In 30 seconds
- What happened
- NVIDIA released CUDA Rust, enabling GPU kernel development in Rust via two programming models: SIMT track using cuda-oxide and Tile track using cutile-rs.
- Why it matters
- Systems engineers building GPU-accelerated Rust applications need native kernel compilation instead of wrapping C++ or Python code.
- Watch out
- cuda-oxide requires nightly Rust and custom LLVM; cutile-rs is stable but both are early projects with evolving APIs and limited production use.
- agent
- kernel
- cuda
- inference
- serving
The patterns behind this
- Memory Reading/Writing Operations
- Eval-Driven Development (Agent CI)
- Generative UI (Agent-Rendered Interfaces)
Each one covers how the technique works, when it earns its cost, and where it breaks.
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