Introducing CUDA Rust: Two Tracks for Writing GPU Kernels
NVIDIA 宣布将于 2026 年 9 月推出 CUDA Rust,旨在将成熟的 CUDA C++ 和 CUDA Python 工具链扩展至 Rust 原生 GPU 编程领域。该计划致力于在 2027 年及以后推动 CUDA Rust 的成熟与发展,以应对 AI 系统层(涵盖推理引擎、服务基础设施、驱动程序及代理运行时)因模型与算法更新而持续变化的需求。
EVENT DOSSIER
In September 2026, NVIDIA officially announced the launch of the CUDA Rust project, aimed at extending the established CUDA C++ and CUDA Python toolchains to the field of native Rust GPU programming. This initiative adopts a dual-track approach, supporting both the integration of Rust with existing ecosystems and the development of new technologies. NVIDIA has outlined a clear roadmap for evolution, aiming to promote the maturation and development of CUDA Rust by 2027 and beyond. This move is designed to meet the ever-changing needs of AI system layers (including inference engines, service infrastructure, drivers, and agent runtimes) due to updates in models and algorithms, providing developers with more flexible and efficient GPU programming solutions.
NVIDIA 宣布将于 2026 年 9 月推出 CUDA Rust,旨在将成熟的 CUDA C++ 和 CUDA Python 工具链扩展至 Rust 原生 GPU 编程领域。该计划致力于在 2027 年及以后推动 CUDA Rust 的成熟与发展,以应对 AI 系统层(涵盖推理引擎、服务基础设施、驱动程序及代理运行时)因模型与算法更新而持续变化的需求。