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Nvidia Adds Native Rust Support for CUDA GPU Kernel Programming

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Nvidia has announced official native GPU programming support for Rust, introducing a 'two tracks' approach that lets developers write CUDA kernels directly in Rust. The first track offers low-level, near-direct mapping to CUDA C++ semantics for fine-grained hardware control, while the second provides a high-level, ergonomic iterator-style API for developers who want GPU acceleration without deep CUDA expertise. Previously, Rust developers relied on unofficial community projects like rust-cuda and cudarc, which lacked Nvidia's backing and risked incompatibility with new CUDA toolkit and driver releases. Official support means Rust kernels will now have access to first-party debugging tools such as Nsight and guaranteed compatibility with future CUDA releases. The move is significant for teams building GPU-accelerated workloads — including ML training pipelines and inference servers — who want Rust's memory safety guarantees without sacrificing raw throughput.

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