{"id":1836,"date":"2023-10-08T10:28:07","date_gmt":"2023-10-08T02:28:07","guid":{"rendered":"http:\/\/shlj-tec.com\/?p=1836"},"modified":"2023-10-08T10:28:07","modified_gmt":"2023-10-08T02:28:07","slug":"nvidia-l40s","status":"publish","type":"post","link":"http:\/\/shlj-tec.com\/index.php\/2023\/10\/08\/nvidia-l40s\/","title":{"rendered":"NVIDIA L40S"},"content":{"rendered":"<p>\u4e3a\u6570\u636e\u4e2d\u5fc3\u8d4b\u4e88\u51fa\u8272\u7684 AI \u548c\u56fe\u5f62\u6027\u80fd<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone  wp-image-1837\" src=\"http:\/\/shlj-tec.com\/wp-content\/uploads\/2023\/10\/1696731694662-300x138.png\" alt=\"\" width=\"950\" height=\"437\" \/><\/p>\n<h2><strong><b>\u529f\u80fd\u5f3a\u5927\u7684\u901a\u7528\u578b GPU<\/b><\/strong><\/h2>\n<p>NVIDIA L40S GPU \u53ef\u4e3a\u60a8\u63d0\u4f9b\u7a81\u7834\u6027\u7684\u591a\u5de5\u4f5c\u8d1f\u8f7d\u6027\u80fd\u4f53\u9a8c\u3002 \u7cbe\u5fc3\u8bbe\u8ba1\u7684 L40S GPU \u5c06\u5f3a\u5927\u7684 AI \u8ba1\u7b97\u6027\u80fd\u4e0e\u51fa\u8272\u7684\u56fe\u5f62\u548c\u5a92\u4f53\u52a0\u901f\u529f\u80fd\u76f8\u7ed3\u5408\uff0c\u65e8\u5728\u4e3a\u65b0\u4e00\u4ee3\u6570\u636e\u4e2d\u5fc3\u5de5\u4f5c\u8d1f\u8f7d\u63d0\u4f9b\u652f\u6301\u3002\u4ece\u751f\u6210\u5f0f AI \u548c\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u63a8\u7406\u4e0e\u8bad\u7ec3\uff0c\u5230 3D \u56fe\u5f62\u3001\u6e32\u67d3\u548c\u89c6\u9891\uff0c\u90fd\u80fd\u5e94\u5bf9\u81ea\u5982\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3><strong><b>\u7b2c\u56db\u4ee3 Tensor Core<\/b><\/strong><\/h3>\n<p>\u9488\u5bf9\u7ed3\u6784\u5316\u7a00\u758f\u548c\u4f18\u5316\u7684 TF32 \u683c\u5f0f\u63d0\u4f9b\u786c\u4ef6\u652f\u6301\uff0c\u4e3a\u66f4\u5feb\u7684 AI \u548c\u6570\u636e\u79d1\u5b66\u6a21\u578b\u8bad\u7ec3\u63d0\u4f9b\u5f00\u7bb1\u5373\u5f97\u7684\u6027\u80fd\u63d0\u5347\u3002\u53ef\u5229\u7528\u00a0<a href=\"https:\/\/www.nvidia.cn\/geforce\/technologies\/dlss\/\"><u>DLSS<\/u><\/a>\u00a0\u6280\u672f\u52a0\u901f AI \u589e\u5f3a\u578b\u56fe\u5f62\u529f\u80fd\uff0c\u4ece\u800c\u5728\u7279\u5b9a\u5e94\u7528\u4e2d\u63d0\u4f9b\u66f4\u9ad8\u7684\u5206\u8fa8\u7387\u548c\u66f4\u51fa\u8272\u7684\u6027\u80fd\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3><strong><b>\u7b2c\u4e09\u4ee3 RT Core<\/b><\/strong><\/h3>\n<p>\u589e\u52a0\u7684\u541e\u5410\u91cf\u4ee5\u53ca\u5e76\u53d1\u5149\u7ebf\u8ffd\u8e2a\u548c\u7740\u8272\u529f\u80fd\u53ef\u63d0\u5347\u5149\u7ebf\u8ffd\u8e2a\u6027\u80fd\uff0c\u4ece\u800c\u52a0\u5feb\u4ea7\u54c1\u8bbe\u8ba1\u4ee5\u53ca\u67b6\u6784\u3001\u5de5\u7a0b\u548c\u65bd\u5de5\u5de5\u4f5c\u6d41\u7a0b\u7684\u6e32\u67d3\u3002\u53ef\u5229\u7528\u786c\u4ef6\u52a0\u901f\u7684\u52a8\u6001\u6a21\u7cca\u6280\u672f\u63d0\u4f9b\u4ee4\u4eba\u60ca\u8273\u7684\u5b9e\u65f6\u52a8\u753b\u6548\u679c\uff0c\u4ee5\u5e2e\u52a9\u4e86\u89e3\u903c\u771f\u8bbe\u8ba1\u7684\u5b9e\u9645\u6548\u679c\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3><strong><b>CUDA Core \u6838\u5fc3<\/b><\/strong><\/h3>\n<p>\u52a0\u901f\u5355\u7cbe\u5ea6\u6d6e\u70b9\uff08FP32\uff09\u541e\u5410\u91cf\u548c\u66f4\u9ad8\u7684\u80fd\u6548\u53ef\u663e\u8457\u63d0\u5347 3D \u6a21\u578b\u5f00\u53d1\u548c\u8ba1\u7b97\u673a\u8f85\u52a9\u5de5\u7a0b\uff08CAE\uff09\u4eff\u771f\u7b49\u5de5\u4f5c\u6d41\u7a0b\u7684\u6027\u80fd\u3002\u53ef\u4f7f\u7528\u589e\u5f3a\u7684 16-bit Math Capability\uff08BF16\uff09\u652f\u6301\u6df7\u5408\u7cbe\u5ea6\u5de5\u4f5c\u8d1f\u8f7d\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3><strong><b>Transformer \u5f15\u64ce<\/b><\/strong><\/h3>\n<p>Transformer \u5f15\u64ce\u53ef\u663e\u8457\u52a0\u901f AI \u6027\u80fd\uff0c\u5e76\u63d0\u9ad8\u8bad\u7ec3\u548c\u63a8\u7406\u7684\u5185\u5b58\u5229\u7528\u7387\u3002\u51ed\u501f Ada Lovelace \u7b2c\u56db\u4ee3 Tensor Core \u7684\u5f3a\u5927\u529f\u80fd\uff0cTransformer \u5f15\u64ce\u53ef\u4ee5\u667a\u80fd\u5730\u626b\u63cf\u8f6c\u6362\u5668\u67b6\u6784\u795e\u7ecf\u7f51\u7edc\u7684\u5404\u4e2a\u5c42\uff0c\u5e76\u5728 FP8 \u548c FP16 \u7cbe\u5ea6\u4e4b\u95f4\u81ea\u52a8\u91cd\u94f8\uff0c\u4ece\u800c\u63d0\u4f9b\u66f4\u5feb\u7684 AI \u6027\u80fd\u5e76\u52a0\u901f\u8bad\u7ec3\u548c\u63a8\u7406\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3><strong><b>\u6548\u7387\u548c\u5b89\u5168\u6027<\/b><\/strong><\/h3>\n<p>L40S GPU \u9488\u5bf9\u5168\u5929\u5019\u4f01\u4e1a\u6570\u636e\u4e2d\u5fc3\u8fd0\u8425\u8fdb\u884c\u4e86\u4f18\u5316\uff0c\u7ecf\u8fc7 NVIDIA \u7684\u7cbe\u5fc3\u8bbe\u8ba1\u3001\u6784\u5efa\u3001\u6d4b\u8bd5\u548c\u652f\u6301\uff0c\u53ef\u786e\u4fdd\u66f4\u5927\u9650\u5ea6\u5730\u63d0\u9ad8\u6027\u80fd\u3001\u8010\u7528\u6027\u548c\u6b63\u5e38\u8fd0\u884c\u65f6\u95f4\u3002L40S GPU \u7b26\u5408\u65b0\u6570\u636e\u4e2d\u5fc3\u6807\u51c6\uff0c\u652f\u6301\u7f51\u7edc\u8bbe\u5907\u6784\u5efa\u7cfb\u7edf\uff08NEBS\uff093 \u7ea7\u6807\u51c6\uff0c\u5e76\u4e14\u91c7\u7528\u4e86\u4fe1\u4efb\u6839\u6280\u672f\u5b9e\u73b0\u5b89\u5168\u542f\u52a8\uff0c\u53ef\u4e3a\u6570\u636e\u4e2d\u5fc3\u63d0\u4f9b\u989d\u5916\u7684\u5b89\u5168\u4fdd\u62a4\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3><strong><b>DLSS 3<\/b><\/strong><\/h3>\n<p>\u4f9d\u9760 NVIDIA DLSS 3 \u7684\u52a0\u6301\uff0cL40S GPU \u53ef\u4ee5\u652f\u6301\u8d85\u5feb\u6e32\u67d3\u548c\u66f4\u9ad8\u5e27\u7387\uff0c\u4f7f\u753b\u9762\u6709\u5982\u884c\u4e91\u6d41\u6c34\u3002\u8fd9\u9879\u7a81\u7834\u6027\u7684\u5e27\u751f\u6210\u6280\u672f\u5229\u7528\u6df1\u5ea6\u5b66\u4e60\u53ca Ada Lovelace \u67b6\u6784\u548c L40S GPU \u4e2d\u7684\u65b0\u4e00\u4ee3\u786c\u4ef6\u521b\u65b0\uff08\u5305\u62ec\u7b2c 4 \u4ee3 Tensor Core \u548c\u5149\u6d41\u52a0\u901f\u5668\uff09\u6765\u63d0\u5347\u6e32\u67d3\u6027\u80fd\uff0c\u5728\u63d0\u9ad8\u6bcf\u79d2\u5e27\u6570\uff08FPS\uff09\u7684\u540c\u65f6\u663e\u8457\u964d\u4f4e\u5ef6\u8fdf\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4e3a\u6570\u636e\u4e2d\u5fc3\u8d4b\u4e88\u51fa\u8272\u7684 AI \u548c\u56fe\u5f62\u6027\u80fd \u529f\u80fd\u5f3a\u5927\u7684\u901a\u7528\u578b GPU NVIDIA L40S GPU \u53ef\u4e3a\u60a8\u63d0\u4f9b\u7a81 [&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\/1836"}],"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=1836"}],"version-history":[{"count":1,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/posts\/1836\/revisions"}],"predecessor-version":[{"id":1838,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/posts\/1836\/revisions\/1838"}],"wp:attachment":[{"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/media?parent=1836"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/categories?post=1836"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/tags?post=1836"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}