{"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\/de\/blog\/news\/vyshla-zluda-6-nezavisimaya-realizacziya-cuda","title":{"rendered":"ZLUDA 6 ist erschienen, eine unabh\u00e4ngige CUDA-Implementierung","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Die neue Version von ZLUDA ist erschienen \u2013 eine Kompatibilit\u00e4tsschicht f\u00fcr parallele Berechnungen auf Nicht-Nvidia-Grafikprozessoren, die eine vollst\u00e4ndige Kompatibilit\u00e4t mit CUDA anstrebt. Sie entspricht der CUDA-Version 13.1. Derzeit werden nur AMD (ROCm-Version bis 7.2) unterst\u00fctzt, Intel ist jedoch in Planung. Geschrieben in Rust.<\/p>\n

Es wurde eine erste Unterst\u00fctzung f\u00fcr die Nutzung von ZLUDA mit der Physik-Engine PhysX und dem 3D-Editor Blender angek\u00fcndigt.<\/p>\n

\u00dcber den Namen. Cuda bedeutet auf Polnisch \u201eWunder\u201c, z\u0142uda \u2013 \u201eIllusion\u201c. Der Autor sagt, dass er keinen tiefen Sinn hineinlegen wollte, sondern einfach das erste zuf\u00e4llige Wort gew\u00e4hlt hat, das mit CUDA klingt, um den Namen notCUDA zu \u00e4ndern.<\/p>\n

Quelle: 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\udd47ZLUDA 6 ver\u00f6ffentlicht, eine unabh\u00e4ngige Implementierung von CUDA | ProHoster","description":"Die neue Version von ZLUDA ist erschienen \u2013 eine Kompatibilit\u00e4tsschicht f\u00fcr parallele Berechnungen auf Nicht-Nvidia-Grafikprozessoren, die eine vollst\u00e4ndige Kompatibilit\u00e4t mit CUDA 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