{"id":1887,"date":"2023-10-08T14:28:46","date_gmt":"2023-10-08T06:28:46","guid":{"rendered":"http:\/\/shlj-tec.com\/?p=1887"},"modified":"2023-10-08T14:28:53","modified_gmt":"2023-10-08T06:28:53","slug":"nvidia-rtx-6000-ada","status":"publish","type":"post","link":"http:\/\/shlj-tec.com\/index.php\/2023\/10\/08\/nvidia-rtx-6000-ada\/","title":{"rendered":"NVIDIA RTX 6000 Ada"},"content":{"rendered":"<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-1888\" src=\"http:\/\/shlj-tec.com\/wp-content\/uploads\/2023\/10\/1696742575856-300x120.png\" alt=\"\" width=\"963\" height=\"385\" \/><\/p>\n<p>NVIDIA RTX\u2122 6000 Ada \u67b6\u6784\u663e\u5361\u63d0\u4f9b\u5f3a\u5927\u7684\u7279\u6027\u3001\u529f\u80fd\u548c\u6027\u80fd\uff0c\u53ef\u5e94\u5bf9\u5f53\u4eca\u4e13\u4e1a\u5de5\u4f5c\u6d41\u7684\u6311\u6218\u3002RTX 6000 \u57fa\u4e8e NVIDIA Ada Lovelace GPU \u67b6\u6784\u6784\u5efa\uff0c\u7ed3\u5408\u4f7f\u7528\u4e86 142 \u4e2a\u7b2c\u4e09\u4ee3 RT Core \u3001568 \u4e2a\u7b2c\u56db\u4ee3 Tensor Core \u548c 18176 \u4e2a CUDA \u6838\u5fc3\u4ee5\u53ca 48GB \u663e\u5b58\uff0c\u53ef\u63d0\u4f9b\u8fdc\u8d85\u8fc7\u5f80\u7684\u6e32\u67d3\u3001AI\u3001\u56fe\u5f62\u5904\u7406\u548c\u8ba1\u7b97\u6027\u80fd\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>Ada Lovelace \u52a9\u529b\u7684 RTX 6000 \u662f NVIDIA Omniverse Enterprise\u2122 \u7684\u57fa\u7840\uff0c\u53ef\u4e3a\u903c\u771f\u7684\u865a\u62df\u73af\u5883\u5b9e\u73b0\u66f4\u9ad8\u6c34\u5e73\u7684\u534f\u4f5c\u3001\u66f4\u590d\u6742\u7684\u4eff\u771f\u548c\u5185\u5bb9\u521b\u4f5c\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u501f\u52a9 NVIDIA RTX 6000 \u589e\u5f3a GPU \u52a0\u901f\u7684\u7a7a\u6c14\u52a8\u529b\u5b66\u4eff\u771f\uff0c\u4f7f\u4ea7\u54c1\u5f00\u53d1\u63d0\u5347\u5230\u66f4\u9ad8\u6c34\u5e73\u3002RTX 6000 \u53ef\u8ba9\u60a8\u8fd0\u7528\u5f3a\u5927\u7684 3D \u8bbe\u8ba1\u548c\u4eff\u771f\u5de5\u5177\uff0c\u4ee5\u524d\u6240\u672a\u6709\u7684\u901f\u5ea6\u548c\u66f4\u5f3a\u7684\u4ea4\u4e92\u6027\u8bbe\u8ba1\u4ea7\u54c1\uff0c\u5e76\u5bf9\u5176\u8fdb\u884c\u4eff\u771f\u548c\u4f18\u5316\u3002\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u5730\u5904\u7406\u9ad8\u4fdd\u771f\u5ea6\u53ef\u89c6\u5316\u548c\u4eff\u771f\u5de5\u4f5c\u6d41\uff0c\u5e76\u5b9e\u65f6\u63a2\u7d22\u591a\u4e2a\u8bbe\u8ba1\u65b9\u6848\uff0c\u786e\u5b9a\u6700\u4f73\u8bbe\u8ba1\u65b9\u5411\u3002RTX 6000 \u8fd8\u4f7f\u8bbe\u8ba1\u5e08\u548c\u5de5\u7a0b\u5e08\u80fd\u591f\u52a0\u901f\u4ea7\u54c1\u5f00\u53d1\uff0c\u907f\u514d\u5ef6\u8bef\uff0c\u5e76\u5c3d\u53ef\u80fd\u8bbe\u8ba1\u6700\u4f73\u4ea7\u54c1\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><strong><b>NVIDIA CUDA \u6838\u5fc3\u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/b><\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>\u5355\u7cbe\u5ea6\u6d6e\u70b9 (FP32) \u8fd0\u7b97\u7684\u5904\u7406\u901f\u5ea6\u63d0\u5347\u4e00\u500d\uff0c\u663e\u8457\u63d0\u5347\u53f0\u5f0f\u673a\u5728\u56fe\u5f62\u548c\u4eff\u771f\u5de5\u4f5c\u6d41\uff08\u4f8b\u5982\u590d\u6742\u7684 3D \u8ba1\u7b97\u673a\u8f85\u52a9\u8bbe\u8ba1 (CAD) \u548c\u8ba1\u7b97\u673a\u8f85\u52a9\u5de5\u7a0b (CAE)\uff09\u7684\u6027\u80fd\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><strong><b>\u7b2c\u4e09\u4ee3 RT Core\u00a0 \u00a0 \u00a0 \u00a0<\/b><\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>\u7b2c\u4e09\u4ee3 RT Core \u7684\u541e\u5410\u91cf\u9ad8\u8fbe\u4e0a\u4e00\u4ee3\u4ea7\u54c1\u7684 2 \u500d\uff0c\u53ef\u5927\u5e45\u52a0\u5feb\u7535\u5f71\u5185\u5bb9\u7684\u903c\u771f\u6e32\u67d3\u3001\u5efa\u7b51\u8bbe\u8ba1\u8bc4\u4f30\uff0c\u4ee5\u53ca\u4ea7\u54c1\u8bbe\u8ba1\u7684\u865a\u62df\u539f\u578b\u5236\u4f5c\u7b49\u5de5\u4f5c\u8d1f\u8f7d\u7684\u8fd0\u884c\u901f\u5ea6\u3002\u8fd9\u9879\u6280\u672f\u8fd8\u53ef\u63d0\u5347\u5149\u7ebf\u8ffd\u8e2a\u52a8\u6001\u6a21\u7cca\u7684\u6e32\u67d3\u901f\u5ea6\uff0c\u5e76\u5448\u73b0\u66f4\u9ad8\u7684\u89c6\u89c9\u51c6\u786e\u5ea6\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><strong><b>\u7b2c\u56db\u4ee3 Tensor Core\u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/b><\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>\u7b2c\u56db\u4ee3 Tensor Core \u7684 AI \u8ba1\u7b97\u6027\u80fd\u53ef\u8fbe\u5230\u4e0a\u4e00\u4ee3\u4ea7\u54c1\u7684 2 \u500d\u4ee5\u4e0a\u3002\u6b64\u7c7b\u65b0 Tensor Core \u652f\u6301 FP8 \u7cbe\u5ea6\u6570\u636e\u7c7b\u578b\u7684\u52a0\u901f\uff0c\u5e76\u63d0\u4f9b\u72ec\u7acb\u7684\u6d6e\u70b9\u548c\u6574\u6570\u6570\u636e\u8def\u5f84\uff0c\u4ee5\u52a0\u901f\u6267\u884c\u6d6e\u70b9\u548c\u6574\u6570\u6df7\u5408\u8ba1\u7b97\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><strong><b>48 GB GPU \u663e\u5b58\u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/b><\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>RTX 6000 \u914d\u5907 48GB GDDR6 \u663e\u5b58\uff0c\u4e3a\u6570\u636e\u79d1\u5b66\u5bb6\u3001\u5de5\u7a0b\u5e08\u548c\u521b\u610f\u4e13\u4e1a\u4eba\u5458\u63d0\u4f9b\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u4ee5\u53ca\u6e32\u67d3\u3001\u6570\u636e\u79d1\u5b66\u548c\u4eff\u771f\u7b49\u5de5\u4f5c\u8d1f\u8f7d\u6240\u9700\u7684\u5927\u5bb9\u91cf\u663e\u5b58\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><strong><b>\u865a\u62df\u5316\u5c31\u7eea\u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/b><\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.nvidia.cn\/design-visualization\/virtual-workstation\/\">NVIDIA RTX \u865a\u62df\u5de5\u4f5c\u7ad9 (vWS) \u8f6f\u4ef6<\/a>\u7684\u652f\u6301\u53ef\u8ba9\u7528\u6237\u5c06\u4e2a\u4eba\u5de5\u4f5c\u7ad9\u6539\u7528\u4e3a\u591a\u4e2a\u9ad8\u6027\u80fd\u865a\u62df\u5de5\u4f5c\u7ad9\u5b9e\u4f8b\uff0c\u4f7f\u8fdc\u7a0b\u7528\u6237\u80fd\u591f\u5206\u4eab\u8d44\u6e90\uff0c\u52a9\u529b\u9ad8\u7aef\u8bbe\u8ba1\u3001AI \u548c\u8ba1\u7b97\u5de5\u4f5c\u8d1f\u8f7d\u7684\u5904\u7406\u3002\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><strong><b>PCIe 4.0\u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/b><\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>\u652f\u6301 PCI Express 4.0\uff0c\u6240\u63d0\u4f9b\u7684\u5e26\u5bbd\u662f PCIe 3.0 \u7684\u4e8c\u500d\uff0c\u8fdb\u800c\u63d0\u5347\u4e86\u4ece CPU \u5185\u5b58\u4f20\u8f93\u6570\u636e\u7684\u901f\u5ea6\uff0c\u53ef\u4ee5\u66f4\u5feb\u5730\u6267\u884c AI \u548c\u6570\u636e\u79d1\u5b66\u7b49\u6570\u636e\u5bc6\u96c6\u578b\u4efb\u52a1\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><strong><b>\u6280\u672f\u89c4\u683c<\/b><\/strong><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-1889\" src=\"http:\/\/shlj-tec.com\/wp-content\/uploads\/2023\/10\/1696746499040-300x176.png\" alt=\"\" width=\"931\" height=\"546\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA RTX\u2122 6000 Ada \u67b6\u6784\u663e\u5361\u63d0\u4f9b\u5f3a\u5927\u7684\u7279\u6027\u3001\u529f\u80fd\u548c\u6027\u80fd\uff0c\u53ef\u5e94\u5bf9\u5f53\u4eca\u4e13\u4e1a\u5de5\u4f5c\u6d41\u7684\u6311\u6218\u3002RT [&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\/1887"}],"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=1887"}],"version-history":[{"count":1,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/posts\/1887\/revisions"}],"predecessor-version":[{"id":1890,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/posts\/1887\/revisions\/1890"}],"wp:attachment":[{"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/media?parent=1887"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/categories?post=1887"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/tags?post=1887"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}