{"id":33151,"date":"2023-11-21T16:11:58","date_gmt":"2023-11-21T08:11:58","guid":{"rendered":"https:\/\/www.deepin.org\/?p=33151"},"modified":"2023-11-21T16:14:47","modified_gmt":"2023-11-21T08:14:47","slug":"deepin-v23-adapts-mtt-s80","status":"publish","type":"post","link":"https:\/\/www.deepin.org\/en\/deepin-v23-adapts-mtt-s80\/","title":{"rendered":"deepin V23 Successfully Adapts to the Domestic Graphics Card MTT S80!"},"content":{"rendered":"<img loading=\"lazy\" class=\"aligncenter\" src=\"https:\/\/storage.deepin.org\/thread\/202311211610098821_en.png\" alt=\"\" width=\"900\" height=\"383\" \/><\/p>\n<p class=\"ql-direction-ltr ql-long-10365\"><span class=\"ql-author-10365\">Recently, under the promotion of community enthusiasts and deepin R&amp;D team, we have completed the adaptation work of Moore Threads MTT S80 graphics card and successfully driven MTT S80 graphics card on deepin V23 Beta2 version.<\/span><\/p>\n<p class=\"ql-direction-ltr ql-long-10365\"><span class=\"ql-author-10365\">It is reported that the adapted Moore Threads MTT S80 graphics card is equipped with a complete \"Spring Dawn\" chip core, built-in 4096 MUSA stream processing cores, 128 Tensor tensor cores. At 1.8GHz, it is capable of delivering 14.4TFLOPS of single-precision floating-point arithmetic.<\/span><\/p>\n<p><img loading=\"lazy\" class=\"aligncenter\" src=\"https:\/\/storage.deepin.org\/thread\/202311211606197158_S80.png\" alt=\"\" width=\"1238\" height=\"620\" \/><\/p>\n<p class=\"ql-direction-ltr ql-long-10365\"><span class=\"ql-author-10365\">The deepin MTT S80 trial version image is now available for download and trial. The MTT S80 graphics driver runs stably on deepin V23 Beta2 operating system, and is able to reach the level of mainstream Linux platform graphics cards.<\/span><\/p>\n<p><img class=\"aligncenter\" src=\"https:\/\/storage.deepin.org\/thread\/202311211606273842_\u56fe\u72471.png\" alt=\"\" \/><\/p>\n<p><img class=\"aligncenter\" src=\"https:\/\/storage.deepin.org\/thread\/202311211606435590_\u56fe\u72472.png\" alt=\"\" \/><\/p>\n<p><img class=\"aligncenter\" src=\"https:\/\/storage.deepin.org\/thread\/202311211606538237_\u56fe\u72473.png\" alt=\"\" \/><\/p>\n<p style=\"text-align: center;\">Runtime<\/p>\n<p class=\"ql-direction-ltr ql-long-10365\"><span class=\"ql-author-10365\">Currently, the driver supports Opengl 4.0 and Opengl ES 3.2, but since it is still a technology preview version, it only supports kernel version 5.15, and some of the userland drivers have not yet been merged into the mainline.<\/span><\/p>\n<p class=\"ql-direction-ltr ql-long-10365\"><span class=\"ql-author-10365\">In addition, there are some other problems, which need to be solved by subsequent updates.<\/span><strong class=\"ql-author-10365\"> Therefore, please be careful when using it in production environments.<\/strong><\/p>\n<p class=\"ql-direction-ltr ql-long-10365\"><span style=\"color: #0000ff;\"><strong class=\"ql-author-10365\">Mirror download address:<\/strong><\/span><\/p>\n<p class=\"ql-direction-ltr ql-long-10365\"><a class=\"ql-link ql-author-10365 ql-font-simsun\" href=\"https:\/\/ci.deepin.com\/repo\/deepin\/deepin-community\/moore-driver\/cdimage\/deepin-23-Beta2-for-moore-s80-amd64.iso\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">https:\/\/ci.deepin.com\/repo\/deepin\/deepin-community\/moore-driver\/cdimage\/deepin-23-Beta2-for-moore-s80-amd64.iso<\/a><\/p>\n<p class=\"ql-direction-ltr ql-long-10365\"><span style=\"color: #0000ff;\"><strong class=\"ql-author-10365\">Contribution Acknowledgments:<\/strong><\/span><\/p>\n<p class=\"ql-direction-ltr ql-long-748\"><span class=\"ql-author-748\">Rabenda (revy)<\/span><\/p>\n<p style=\"text-align: right;\">News source: deepin community<\/p>\n<p style=\"text-align: right;\">Reprinted with attribution<\/p>","protected":false},"excerpt":{"rendered":"<p>Recently, under the promotion of community enthusiasts and deepin R&amp;D team, we have completed the adaptation work of Moore Threads MTT S80 graphics card and successfully driven MTT S80 graphics card on deepin V23 Beta2 version. It is reported that the adapted Moore Threads MTT S80 graphics card is equipped with a complete \"Spring Dawn\" chip core, built-in 4096 MUSA stream processing cores, 128 Tensor tensor cores. At 1.8GHz, it is capable of delivering 14.4TFLOPS of single-precision floating-point arithmetic. The deepin MTT S80 trial version image is now available for download and trial. The MTT S80 graphics driver runs stably ...<a href=https:\/\/www.deepin.org\/en\/deepin-v23-adapts-mtt-s80\/>Read more<\/a><\/p>\n","protected":false},"author":11164,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[93],"tags":[],"_links":{"self":[{"href":"https:\/\/www.deepin.org\/en\/wp-json\/wp\/v2\/posts\/33151"}],"collection":[{"href":"https:\/\/www.deepin.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deepin.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deepin.org\/en\/wp-json\/wp\/v2\/users\/11164"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deepin.org\/en\/wp-json\/wp\/v2\/comments?post=33151"}],"version-history":[{"count":4,"href":"https:\/\/www.deepin.org\/en\/wp-json\/wp\/v2\/posts\/33151\/revisions"}],"predecessor-version":[{"id":33155,"href":"https:\/\/www.deepin.org\/en\/wp-json\/wp\/v2\/posts\/33151\/revisions\/33155"}],"wp:attachment":[{"href":"https:\/\/www.deepin.org\/en\/wp-json\/wp\/v2\/media?parent=33151"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deepin.org\/en\/wp-json\/wp\/v2\/categories?post=33151"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deepin.org\/en\/wp-json\/wp\/v2\/tags?post=33151"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}