{"id":182417,"date":"2026-07-01T14:48:53","date_gmt":"2026-07-01T12:48:53","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vyshla-zluda-6-nezavisimaya-realizacziya-cuda"},"modified":"2026-07-01T14:48:53","modified_gmt":"2026-07-01T12:48:53","slug":"vyshla-zluda-6-nezavisimaya-realizacziya-cuda","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/news\/vyshla-zluda-6-nezavisimaya-realizacziya-cuda","title":{"rendered":"\u00c8 stata rilasciata ZLUDA 6, un'implementazione indipendente di CUDA.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

\u00c8 stata rilasciata una nuova versione di ZLUDA, un layer di compatibilit\u00e0 per calcoli paralleli su GPU non Nvidia, mirato a garantire la piena compatibilit\u00e0 con CUDA. \u00c8 conforme alla versione CUDA 13.1. Attualmente supporta solo AMD (versione ROCm fino alla 7.2), mentre il supporto per Intel \u00e8 in programma. Scritta in Rust.<\/p>\n

\u00c8 dichiarato il supporto iniziale per l'uso di ZLUDA con il motore fisico PhysX e l'editor 3D Blender.<\/p>\n

Sul nome. Cuda in polacco significa \u00abmiracoli\u00bb, z\u0142uda significa \u00abillusione\u00bb. L'autore afferma di non aver attribuito un significato profondo, ma di aver scelto semplicemente la prima parola che assomigliava a CUDA, per cambiare il nome in notCUDA.<\/p>\n

Fonte: linux.org.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u0412\u044b\u0448\u043b\u0430 \u043e\u0447\u0435\u0440\u0435\u0434\u043d\u0430\u044f \u0432\u0435\u0440\u0441\u0438\u044f ZLUDA \u2014 \u043f\u0440\u043e\u0441\u043b\u043e\u0439\u043a\u0438 \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u043e\u0441\u0442\u0438 \u0434\u043b\u044f \u043f\u0430\u0440\u0430\u043b\u043b\u0435\u043b\u044c\u043d\u044b\u0445 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u0439 \u043d\u0430 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430\u0445 \u043d\u0435-Nvidia, \u043d\u0430\u0446\u0435\u043b\u0435\u043d\u043d\u0430\u044f \u043d\u0430 \u043f\u043e\u043b\u043d\u0443\u044e \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u043e\u0441\u0442\u044c \u0441 CUDA. \u0421\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u0435\u0442 \u0432\u0435\u0440\u0441\u0438\u0438 CUDA 13.1. \u041f\u043e\u043a\u0430 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u044e\u0442\u0441\u044f \u0442\u043e\u043b\u044c\u043a\u043e AMD (\u0432\u0435\u0440\u0441\u0438\u044f ROCm \u0434\u043e 7.2), \u043f\u043b\u0430\u043d\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u0438 Intel. \u041d\u0430\u043f\u0438\u0441\u0430\u043d\u0430 \u043d\u0430 Rust. \u0417\u0430\u044f\u0432\u043b\u0435\u043d\u0430 \u043d\u0430\u0447\u0430\u043b\u044c\u043d\u0430\u044f \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u0440\u0430\u0431\u043e\u0442\u044b \u043f\u043e\u0432\u0435\u0440\u0445 ZLUDA \u0444\u0438\u0437\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0434\u0432\u0438\u0436\u043a\u0430 PhysX \u0438 3D-\u0440\u0435\u0434\u0430\u043a\u0442\u043e\u0440\u0430 Blender. \u041e \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0438. Cuda \u043f\u043e-\u043f\u043e\u043b\u044c\u0441\u043a\u0438 \u2014 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":8,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-182417","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\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\udd47\u00c8 uscita ZLUDA 6, un'implementazione indipendente di CUDA | ProHoster","description":"\u00c8 stata rilasciata una nuova versione di ZLUDA, un layer di compatibilit\u00e0 per calcoli paralleli su GPU non Nvidia, mirato a garantire la piena compatibilit\u00e0 con 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