{"id":1839,"date":"2023-10-08T10:43:20","date_gmt":"2023-10-08T02:43:20","guid":{"rendered":"http:\/\/shlj-tec.com\/?p=1839"},"modified":"2023-10-08T10:43:20","modified_gmt":"2023-10-08T02:43:20","slug":"nvidia-rtx-4000-sff-ada","status":"publish","type":"post","link":"http:\/\/shlj-tec.com\/index.php\/2023\/10\/08\/nvidia-rtx-4000-sff-ada\/","title":{"rendered":"NVIDIA RTX 4000 SFF Ada"},"content":{"rendered":"<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone  wp-image-1840\" src=\"http:\/\/shlj-tec.com\/wp-content\/uploads\/2023\/10\/1696731709503-300x152.png\" alt=\"\" width=\"989\" height=\"501\" \/><\/p>\n<p>NVIDIA RTX \u00ae 4000 SFF Ada Generation \u91c7\u7528\u7d27\u51d1\u7684\u8bbe\u8ba1\uff0c\u96c6\u4e13\u4e1a\u4eba\u58eb\u6240\u9700\u7684\u7279\u6027\u3001\u529f\u80fd\u548c\u6027\u80fd\u4e8e\u4e00\u8eab\u3002RTX 4000 SFF \u57fa\u4e8e NVIDIA Ada Lovelace GPU \u67b6\u6784\u6784\u5efa\uff0c\u7ed3\u5408\u4e86\u7b2c\u4e09\u4ee3 RT Core\u3001\u7b2c\u56db\u4ee3 Tensor Core \u548c\u4e0b\u4e00\u4ee3 CUDA \u00ae \u6838\u5fc3\u4ee5\u53ca 20GB \u663e\u5b58\uff0c\u53ef\u5728\u6e32\u67d3\u3001 AI \u3001\u56fe\u5f62\u548c\u8ba1\u7b97\u5de5\u4f5c\u8d1f\u8f7d\u4e2d\u63d0\u4f9b\u51fa\u8272\u7684\u6027\u80fd\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3><strong><b>\u57fa\u4e8e NVIDIA Ada Lovelace \u67b6\u6784\u7684 CUDA \u6838\u5fc3<\/b><\/strong><\/h3>\n<p>\u5355\u7cbe\u5ea6\u6d6e\u70b9 (FP32) \u8fd0\u7b97\u901f\u5ea6\u662f\u4e0a\u4e00\u4ee3\u4ea7\u54c1\u7684\u4e24\u500d\uff0c\u4e3a\u56fe\u5f62\u548c\u4eff\u771f\u5de5\u4f5c\u6d41\u63d0\u4f9b\u663e\u8457\u7684\u6027\u80fd\u589e\u5f3a\uff0c\u4f8b\u5982\u53f0\u5f0f\u673a\u4e0a\u590d\u6742\u7684 3D \u8ba1\u7b97\u673a\u8f85\u52a9\u8bbe\u8ba1 (CAD) \u548c\u8ba1\u7b97\u673a\u8f85\u52a9\u5de5\u7a0b (CAE)\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3><strong><b>\u7b2c\u4e09\u4ee3 RT Core<\/b><\/strong><\/h3>\n<p>\u7b2c\u4e09\u4ee3 RT Core \u7684\u541e\u5410\u91cf\u662f\u4e0a\u4e00\u4ee3\u7684 2 \u500d\uff0c\u53ef\u4e3a\u7535\u5f71\u5185\u5bb9\u7684\u903c\u771f\u6e32\u67d3\u3001\u5efa\u7b51\u8bbe\u8ba1\u8bc4\u4f30\u548c\u4ea7\u54c1\u8bbe\u8ba1\u7684\u865a\u62df\u539f\u578b\u5236\u4f5c\u7b49\u5de5\u4f5c\u8d1f\u8f7d\u5b9e\u73b0\u5de8\u5927\u7684\u63d0\u901f\u3002\u8be5\u6280\u672f\u8fd8\u53ef\u52a0\u5feb\u5149\u7ebf\u8ffd\u8e2a\u8fd0\u52a8\u6a21\u7cca\u7684\u6e32\u67d3\u901f\u5ea6\uff0c\u63d0\u9ad8\u89c6\u89c9\u7cbe\u5ea6\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3><strong><b>\u7b2c\u56db\u4ee3 Tensor Core<\/b><\/strong><\/h3>\n<p>\u7b2c\u56db\u4ee3 Tensor Core \u53ef\u63d0\u4f9b\u66f4\u5feb\u7684 AI \u8ba1\u7b97\u6027\u80fd\uff0c\u6027\u80fd\u662f\u4e0a\u4e00\u4ee3\u7684 2 \u500d\u4ee5\u4e0a\u3002\u65b0\u4e00\u4ee3 Tensor Core \u652f\u6301 FP8 \u7cbe\u5ea6\u6570\u636e\u7c7b\u578b\u7684\u52a0\u901f\uff0c\u5e76\u63d0\u4f9b\u72ec\u7acb\u7684\u6d6e\u70b9\u6570\u548c\u6574\u6570\u6570\u636e\u8def\u5f84\uff0c\u4ee5\u52a0\u5feb\u6df7\u5408\u6d6e\u70b9\u6570\u548c\u6574\u6570\u8ba1\u7b97\u7684\u6267\u884c\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3><strong><b>20 GB GPU \u663e\u5b58<\/b><\/strong><\/h3>\n<p>RTX 4000 SFF \u914d\u5907 20GB GDDR6 \u663e\u5b58\uff0c\u4e3a\u6570\u636e\u79d1\u5b66\u5bb6\u3001\u5de5\u7a0b\u5e08\u548c\u521b\u610f\u4e13\u4e1a\u4eba\u58eb\u63d0\u4f9b\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u548c\u5de5\u4f5c\u8d1f\u8f7d (\u5982\u6e32\u67d3\u3001\u6570\u636e\u79d1\u5b66\u548c\u4eff\u771f) \u6240\u9700\u7684\u5927\u5bb9\u91cf\u663e\u5b58\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3><strong><b>AV1 \u7f16\u7801\u5668<\/b><\/strong><\/h3>\n<p>\u57fa\u4e8e Ada \u67b6\u6784\u7684 RTX 4000 SFF \u62e5\u6709\u91c7\u7528 AV1 \u7f16\u7801\u7684\u7b2c\u516b\u4ee3\u4e13\u7528\u786c\u4ef6\u7f16\u7801\u5668 (NVENC) \uff0c\u4e3a\u6d41\u5a92\u4f53\u3001\u5e7f\u64ad\u516c\u53f8\u548c\u89c6\u9891\u4f1a\u8bae\u63d0\u4f9b\u4e86\u65b0\u673a\u9047\u3002 \u5b83\u7684\u6548\u7387\u8f83\u4e4b H.264 \u63d0\u9ad8 40% \uff0c\u5141\u8bb8\u4ee5 1080p \u6d41\u5f0f\u4f20\u8f93\u7684\u7528\u6237\u5c06\u6d41\u5206\u8fa8\u7387\u63d0\u9ad8\u81f3 1440p\uff0c \u5e76\u4fdd\u6301\u76f8\u540c\u7684\u6bd4\u7279\u7387\u548c\u8d28\u91cf\u3002<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone  wp-image-1841\" src=\"http:\/\/shlj-tec.com\/wp-content\/uploads\/2023\/10\/1696732967766-226x300.png\" alt=\"\" width=\"950\" height=\"1261\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA RTX \u00ae 4000 SFF Ada Generation \u91c7\u7528\u7d27\u51d1\u7684\u8bbe\u8ba1\uff0c\u96c6\u4e13\u4e1a\u4eba\u58eb\u6240\u9700\u7684\u7279\u6027 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[74],"tags":[],"_links":{"self":[{"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/posts\/1839"}],"collection":[{"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/comments?post=1839"}],"version-history":[{"count":1,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/posts\/1839\/revisions"}],"predecessor-version":[{"id":1842,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/posts\/1839\/revisions\/1842"}],"wp:attachment":[{"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/media?parent=1839"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/categories?post=1839"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/tags?post=1839"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}