{"id":183381,"date":"2026-09-17T16:54:32","date_gmt":"2026-09-17T14:54:32","guid":{"rendered":"https:\/\/prohoster.info\/blog\/news\/nvidia-predstavila-cuda-rust-dlya-razrabotki-gpu-yader-na-yazyke-rust"},"modified":"2026-09-17T16:54:36","modified_gmt":"2026-09-17T14:54:36","slug":"nvidia-introduces-cuda-rust-for-developing-gpu-kernels-in-rust","status":"publish","type":"post","link":"https:\/\/prohoster.info\/es\/blog\/news\/nvidia-introduces-cuda-rust-for-developing-gpu-kernels-in-rust","title":{"rendered":"NVIDIA ha presentado CUDA Rust para el desarrollo de n\u00facleos de GPU en el lenguaje Rust","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

La empresa NVIDIA ha anunciado el desarrollo de la herramienta CUDA Rust, que permite utilizar el lenguaje Rust para desarrollar n\u00facleos que se ejecutan en el lado de la GPU. La herramienta garantiza la seguridad en la gesti\u00f3n de memoria en la etapa de compilaci\u00f3n y previene la aparici\u00f3n de condiciones de carrera. El pr\u00f3ximo a\u00f1o, se planea llevar CUDA Rust a un nivel adecuado para el desarrollo de proyectos reales, similar a las herramientas CUDA C++ y CUDA Python. <\/p>\n

El conjunto de herramientas CUDA Rust admite dos modelos de desarrollo de n\u00facleos ejecutados en paralelo: SIMT (Single Instruction, Multiple Threads) y Tile. El modelo SIMT permite definir la l\u00f3gica de un solo hilo a un nivel bajo, ejecutar miles de estos hilos y gestionarlos. El modelo Tile ofrece un nivel de abstracci\u00f3n m\u00e1s alto, en el que, en lugar de gestionar expl\u00edcitamente hilos individuales, se definen algoritmos de acci\u00f3n con bloques de datos (tile), y todas las manipulaciones de hilos, sincronizaci\u00f3n de acceso, gesti\u00f3n de memoria y distribuci\u00f3n de datos entre n\u00facleos de tensor son manejadas por el compilador Tile IR. <\/p>\n

Para desarrollar en el lenguaje Rust utilizando el modelo SIMT, se est\u00e1 desarrollando el compilador cuda-oxide, que permite compilar c\u00f3digo en Rust que utiliza el sistema de tipos est\u00e1ndar y el modelo de propiedad de Rust, directamente a instrucciones para ejecutarse en una m\u00e1quina virtual<\/a> CUDA PTX (Parallel Thread Execution). Los n\u00facleos para GPU se crean en Rust est\u00e1ndar, pero se ejecutan en un entorno no est\u00e1ndar (no_std) y solo pueden utilizar funciones de la biblioteca libcore y abstracciones especializadas de Rust, sin acceso a la biblioteca est\u00e1ndar de Rust (libstd). <\/p>\n

En los n\u00facleos CUDA en Rust se permite el uso de protecci\u00f3n a trav\u00e9s del sistema de tipos (safe), el uso de bloques inseguro (unsafe) y el acceso a instrucciones de hardware de bajo nivel. Para garantizar la seguridad, se propone el tipo DisjointSlice, que garantiza que cada hilo tenga acceso exclusivo solo a sus propios datos. El c\u00f3digo de cuda-oxide se distribuye bajo la licencia Apache 2.0. <\/p>\n

Para aplicar el modelo Tail, se propone la biblioteca cutile-rs, que permite usar el lenguaje Rust de manera idiom\u00e1tica para crear c\u00f3digo que se compila directamente en n\u00facleos CUDA. Cutile-rs aplica las estrictas reglas de propiedad y pr\u00e9stamo propuestas en Rust al c\u00f3digo que se ejecuta en la GPU. El n\u00facleo se presenta como un programa de un solo hilo que trabaja con un bloque de datos, y el compilador se encarga de dividir los c\u00e1lculos en hilos y garantizar su sincronizaci\u00f3n. Los hilos tienen acceso compartido a tensores inmutables, y para el acceso seguro a tensores mutables, se utiliza su divisi\u00f3n en bloques no superpuestos. El c\u00f3digo de cutile-rs se distribuye bajo la licencia Apache 2.0.
\n
Fuente: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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\u0438 CUDA Python. \u0418\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":10,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-183381","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47NVIDIA present\u00f3 CUDA Rust para el desarrollo de n\u00facleos de GPU en el lenguaje Rust | ProHoster","description":"La empresa NVIDIA ha anunciado el desarrollo de la herramienta CUDA Rust, que permite usar el lenguaje Rust para desarrollar n\u00facleos que se ejecuten en la 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