Nvidia announces native GPU programming in Rust
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In September 2026, NVIDIA announced it is leaning into native GPU programming in Rust. CUDA C++ and CUDA Python are mature, enterprise-grade toolchains, and NVIDIA will be growing and maturing CUDA Rust into 2027 and beyond
The systems layer of AI spans inference engines, serving infrastructure, drivers, and agent runtimes, and it churns constantly as models and techniques change. More and more of it is written in Rust, which catches whole classes of bugs at compile time without giving up performance.
NVIDIA is part of that shift for the same reason. The Nova Linux driver is written in Rust. NVIDIA Dynamo is built on a Rust core. NVTX has Rust bindings.
The GPU kernel is the exception. You can launch kernels from Rust, but the kernel itself often has to be written in another language.
NVIDIA CUDA Rust closes that gap. GPU kernels can be written in Rust, compiled natively to PTX, rather than a wrapper around code from somewhere else.
There are two tracks to use Rust, matching the two tracks CUDA itself has. SIMT is the model you already write in CUDA C++ or numba-cuda . You indicate what one thread does, and launch thousands of them. Tile is a newer programming model, which is also available in C++ and Python . All of these frontends let you say what one tile of data does, and the Tile IR compiler does the rest.