CUDA-oxide: Nvidia's official Rust to CUDA compiler

# The cuda-oxide Book — cuda-oxide Source: [https://nvlabs.github.io/cuda-oxide/index.html](https://nvlabs.github.io/cuda-oxide/index.html) [](https://nvlabs.github.io/cuda-oxide/_images/logo.png)**cuda\-oxide**is an experimental Rust\-to\-CUDA compiler that lets you write \(SIMT\) GPU kernels in safe\(ish\), idiomatic Rust\. It compiles standard Rust code directly to PTX — no DSLs, no foreign language bindings, just Rust\. Note This book assumes familiarity with the Rust programming language, including ownership, traits, and generics\. Later chapters on async GPU programming also assume working knowledge of`async`/`\.await`and runtimes like tokio\. For a refresher, see[The Rust Programming Language](https://doc.rust-lang.org/book/),[Rust by Example](https://doc.rust-lang.org/rust-by-example/), or the[Async Book](https://rust-lang.github.io/async-book/)\. --- ## Project Status[\#](https://nvlabs.github.io/cuda-oxide/index.html#project-status) The v0\.1\.0 release is an early\-stage alpha:**expect bugs, incomplete features, and API breakage**as we work to improve it\. We hope you’ll try it and help shape its direction by sharing feedback on your experience\. --- ## 🚀 Quick start[\#](https://nvlabs.github.io/cuda-oxide/index.html#quick-start) ``` use cuda_device::{cuda_module, kernel, thread, DisjointSlice}; use cuda_core::{CudaContext, DeviceBuffer, LaunchConfig}; #[cuda_module] mod kernels { use super::*; #[kernel] fn vecadd(a: &[f32], b: &[f32], mut c: DisjointSlice<f32>) { let idx = thread::index_1d(); let i = idx.get(); if let Some(c_elem) = c.get_mut(idx) { *c_elem = a[i] + b[i]; } } } fn main() { let ctx = CudaContext::new(0).unwrap(); let stream = ctx.default_stream(); let module = kernels::load(&ctx).unwrap(); let a = DeviceBuffer::from_host(&stream, &[1.0f32; 1024]).unwrap(); let b = DeviceBuffer::from_host(&stream, &[2.0f32; 1024]).unwrap(); let mut c = DeviceBuffer::<f32>::zeroed(&stream, 1024).unwrap(); module .vecadd(&stream, LaunchConfig::for_num_elems(1024), &a, &b, &mut c) .unwrap(); let result = c.to_host_vec(&stream).unwrap(); assert_eq!(result[0], 3.0); } ``` Build and run with`cargo oxide run vecadd`upon installing the[prerequisites](https://nvlabs.github.io/cuda-oxide/getting-started/installation.html)\. Note `\#\[cuda\_module\]`embeds the generated device artifact into the host binary and generates a typed`kernels::load`function plus one launch method per kernel\. The lower\-level`load\_kernel\_module`and`cuda\_launch\!`APIs remain available when you need to load a specific sidecar artifact or build custom launch code\. --- ## Why cuda\-oxide?[\#](https://nvlabs.github.io/cuda-oxide/index.html#why-cuda-oxide) 🦀 Rust on the GPU Write GPU kernels with Rust’s type system and ownership model\. Safety is a first\-class goal, but GPUs have subtleties — read about[the safety model](https://nvlabs.github.io/cuda-oxide/gpu-safety/the-safety-model.html)\. 💎 A SIMT Compiler Not a DSL\. A custom rustc codegen backend that compiles pure Rust to PTX\. ⚡ Async Execution Compose GPU work as lazy`DeviceOperation`graphs\. Schedule across stream pools\. Await results with`\.await`\.