{"id":2426,"date":"2026-03-03T10:11:45","date_gmt":"2026-03-03T02:11:45","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/2426"},"modified":"2026-03-03T10:11:45","modified_gmt":"2026-03-03T02:11:45","slug":"%e5%9b%bd%e4%ba%a7%e8%8a%af%e7%89%87%e4%b8%87%e5%8d%a1%e9%9b%86%e7%be%a4%e4%b8%8a%e7%ba%bf%ef%bc%8c%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97%e5%90%8c%e6%ad%a5%e5%bc%80%e6%94%be%e6%b7%b7%e5%90%88%e4%ba%91","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/2426","title":{"rendered":"\u56fd\u4ea7\u82af\u7247\u4e07\u5361\u96c6\u7fa4\u4e0a\u7ebf\uff0c\u661f\u5b87\u667a\u7b97\u540c\u6b65\u5f00\u653e\u6df7\u5408\u4e91\uff1aNV+\u56fd\u4ea7 GPU \u53cc\u6808\u65b9\u6848"},"content":{"rendered":"
\"\u56fd\u4ea7\u82af\u7247\u4e07\u5361\u96c6\u7fa4\u4e0a\u7ebf\uff0c\u661f\u5b87\u667a\u7b97\u540c\u6b65\u5f00\u653e\u6df7\u5408\u4e91\uff1aNV+\u56fd\u4ea7<\/figure>\n
\n

\u201c\u56fd\u4ea7 TPUs \/ MTTs \u4e07\u5361\u7ea7\u96c6\u7fa4\u6b63\u5f0f\u5e76\u7f51\uff01\u201d
\n\u4e0a\u5468\uff0c\u8fd9\u6761\u6d88\u606f\u5728 AI \u5708\u5237\u5c4f\u3002PyTorch 2.42 \u540c\u6b65\u5b98\u5ba3\u4e86\u5bf9\u56fd\u4ea7\u82af\u7247\u7684\u6df1\u5ea6\u9002\u914d\uff0c\u8ba9\u201c\u56fd\u4ea7\u66ff\u4ee3\u201d\u7b2c\u4e00\u6b21\u62e5\u6709\u4e86\u4e0e NVIDIA \u540c\u53f0\u7ade\u6280\u7684\u5e95\u6c14\u3002\u7136\u800c\u6b22\u547c\u8fc7\u540e\uff0c\u771f\u6b63\u843d\u5730\u7684\u4eba\u5374\u53d1\u73b0\uff1a\u751f\u6001\u5272\u88c2\u3001\u9a71\u52a8\u4e0d\u517c\u5bb9\u3001\u4e24\u5957\u4ee3\u7801\u7ef4\u62a4\u6210\u672c\u7ffb\u500d\u2014\u2014\u9884\u7b97\u6ca1\u964d\uff0c\u5934\u53d1\u5148\u6389\u4e86\u4e00\u534a\u3002<\/p>\n<\/blockquote>\n

\u4e00\u3001\u70ed\u70b9\u80cc\u540e\uff0c\u771f\u6b63\u7684\u75db\u70b9\u662f\u201c\u4e24\u5957\u4ee3\u7801\u201d<\/h2>\n

\u56fd\u4ea7\u82af\u7247\u5927\u89c4\u6a21\u4ea4\u4ed8\uff0c\u7b97\u529b\u5355\u4ef7\u786e\u5b9e\u6bd4\u540c\u6863\u6b21 GPU \u4f4e 30% \u4ee5\u4e0a\uff0c\u4f46 PyTorch \u793e\u533a\u91cc\u5410\u69fd\u6700\u70ed\u7684\u5e16\u5b50\u5374\u662f\uff1a\u201c\u767d\u5929\u5199 CUDA Kernel\uff0c\u665a\u4e0a\u6539 MTT Triton\uff0c\u9879\u76ee Deadline \u76f4\u63a5\u63d0\u524d\u4e24\u5468\u3002\u201d
\n– \u8bad\u7ec3\u6846\u67b6\u5206\u652f\u591a\uff0c\u5408\u5e76\u56de\u4e3b\u5e72\u7684 PR \u6c38\u8fdc\u51b2\u7a81
\n– \u63a8\u7406\u9636\u6bb5\u7cbe\u5ea6\u5bf9\u9f50\uff0c\u8981\u540c\u65f6\u4fdd\u5b58 FP16\u3001BF16\u3001INT8 \u4e09\u4efd\u6a21\u578b
\n– \u76d1\u63a7\u3001\u544a\u8b66\u3001\u8c03\u5ea6\u811a\u672c\uff0cNV \u7528 Slurm\uff0c\u56fd\u4ea7\u5361\u7528 Kubernetes\uff0c\u8fd0\u7ef4\u540c\u5b66\u5de6\u53f3\u4e92\u640f <\/p>\n

\u5f53\u201c\u964d\u672c\u201d\u9677\u5165\u201c\u53cc\u500d\u4eba\u529b\u201d\uff0c\u518d\u4fbf\u5b9c\u7684\u5361\u4e5f\u62b5\u4e0d\u8fc7\u5de5\u7a0b\u5e08\u52a0\u73ed\u8d39\u3002<\/p>\n

\u4e8c\u3001\u661f\u5b87\u667a\u7b97\u6df7\u5408\u6c60\uff1a\u4e00\u5f20\u4f5c\u4e1a\uff0c\u53cc\u6808\u8dd1\u901a<\/h2>\n

\u661f\u5b87\u667a\u7b97\u628a NVIDIA \u4e0e\u56fd\u4ea7 GPU \u7edf\u4e00\u88c5\u8fdb\u201c\u6df7\u5408\u6c60\u201d\uff0c\u7528\u4e00\u5957 Slurm+Kubernetes \u53cc\u5c42\u8c03\u5ea6\u5668\uff0c\u81ea\u52a8\u8bc6\u522b\u6a21\u578b\u7279\u5f81\u5e76\u5206\u914d\u6700\u4f18\u7b97\u529b\u3002
\n– \u8bad\u7ec3\u5927\u89c4\u6a21\u8bed\u8a00\u6a21\u578b \u2192 \u4f18\u5148\u6253\u6807\u7b7e\u5230 NV A100 80 G\uff0cRDMA \u76f4\u8fde
\n– \u63a8\u7406 CV \u5c0f\u6a21\u578b \u2192 \u52a8\u6001\u8fc1\u79fb\u5230\u56fd\u4ea7 MTT\uff0c\u5355\u5361\u529f\u8017\u4f4e 45 %
\n– \u6df1\u591c\u4f4e\u5cf0\u671f \u2192 \u81ea\u52a8\u5f39\u6027\u7f29\u5bb9\uff0c\u628a\u7a7a\u95f2\u8d44\u6e90\u8ba9\u6e21\u7ed9\u4ef7\u683c\u654f\u611f\u578b\u7528\u6237 <\/p>\n

\u5f00\u53d1\u8005\u4ecd\u5199\u6807\u51c6 PyTorch\uff0c\u65e0\u9700\u6539\u4e00\u884c\u4ee3\u7801\uff1b\u5e73\u53f0\u5728\u5e95\u5c42\u5b8c\u6210 CUDA \/ ROCm \/ TPU \u6307\u4ee4\u7ffb\u8bd1\uff0c\u5e76\u5b9e\u65f6\u56de\u4f20\u6027\u80fd\u6307\u6807\u3002\u5b9e\u6d4b\u6570\u636e\u663e\u793a\uff1a
\n– \u540c\u9884\u7b97\u4e0b\uff0c\u63a8\u7406\u6210\u672c\u518d\u964d 35 %
\n– \u8bad\u7ec3\u6027\u80fd\u6574\u4f53\u63d0\u5347 18 %\uff0c\u5343\u5361\u6269\u5c55\u6548\u7387 93 % \u4ee5\u4e0a <\/p>\n

\u4e09\u3001\u628a\u201c\u964d\u672c\u589e\u6548\u201d\u5199\u8fdb\u6bcf\u4e00\u6b21\u9f20\u6807\u70b9\u51fb<\/h2>\n
    \n
  1. GPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u2014\u2014\u6309\u5c0f\u65f6\u3001\u6309\u5929\u3001\u6309\u6708\uff0c\u4e09\u79cd\u8ba1\u8d39\u7c92\u5ea6\u968f\u5fc3\u9009\uff1b\u65b0\u6ce8\u518c\u7528\u6237\u5373\u9001 10 \u5143\u4f53\u9a8c\u91d1\uff0c0 \u6210\u672c\u8dd1\u901a\u7b2c\u4e00\u4e2a AI Demo\u3002 <\/li>\n
  2. GPU\u4e91\u4e3b\u673a<\/strong>\u2014\u2014\u5185\u7f6e 500 + \u516c\u5171\u6a21\u578b\u30011.2 T \u5f00\u6e90\u6570\u636e\u96c6\uff0c\u4e00\u952e\u514b\u9686\u5373\u53ef\u8bad\u7ec3\uff1b\u4e91\u786c\u76d8\u652f\u6301\u8de8\u5b9e\u4f8b\u70ed\u63d2\u62d4\uff0c\u65ad\u70b9\u7eed\u8bad\u4e0d\u518d\u9760\u8fd0\u6c14\u3002 <\/li>\n
  3. AI\u5e94\u7528<\/strong>\u2014\u2014\u4ece Stable Diffusion \u5230 ChatGLM3\uff0c\u5168\u90e8\u9884\u88c5\u6210\u201c\u5e94\u7528\u6a21\u677f\u201d\uff0c\u70b9\u51fb\u5373\u73a9\uff0c10 \u5206\u949f\u4e0a\u7ebf\u6587\u751f\u56fe\u670d\u52a1\u3002 <\/li>\n<\/ol>\n

    \u56db\u3001\u771f\u5b9e\u6848\u4f8b\uff1a90 \u540e\u521b\u4e1a\u56e2\u961f\u4e09\u4e2a\u6708\u8fed\u4ee3\u56db\u4ee3\u89c6\u9891\u751f\u6210\u6a21\u578b<\/h2>\n

    \u201c\u539f\u5148\u6211\u4eec\u79df 8 \u5f20 A100 \u505a Finetune\uff0c\u6708\u8d26\u5355 3.2 \u4e07\u3002\u8fc1\u5230\u661f\u5b87\u667a\u7b97\u6df7\u5408\u6c60\u540e\uff0c\u8bad\u7ec3\u9636\u6bb5\u4ecd\u7528 A100 \u4fdd\u8bc1\u6536\u655b\u901f\u5ea6\uff0c\u63a8\u7406\u9636\u6bb5\u5207\u5230\u56fd\u4ea7\u5361\uff0c\u6574\u4f53\u8d39\u7528\u964d\u5230 2.1 \u4e07\uff0c\u8fd8\u591a\u4e86 20 % \u7684\u5e76\u53d1\u8def\u6570\u3002\u201d
    \n\u2014\u2014\u67d0 AIGC \u521b\u4e1a\u516c\u53f8 CTO \u674e\u6668 <\/p>\n

    \u66f4\u8ba9\u4ed6\u60ca\u559c\u7684\u662f\u5e73\u53f0\u63d0\u4f9b\u7684\u4e91\u5b58\u50a8<\/a>\u4e0e\u6a21\u578b\u6570\u636e\u96c6\u8d44\u6e90\u5e93<\/a>\uff0c\u201c\u6570\u636e\u4e0d\u7528\u53cd\u590d\u4e0a\u4f20\uff0c\u76f4\u63a5 cp<\/code> \u8fdb\u8bad\u7ec3\u5bb9\u5668\uff0c\u7701\u4e0b\u7684\u65f6\u95f4\u8db3\u591f\u518d\u8c03\u4e00\u6b21\u8d85\u53c2\u3002\u201d<\/p>\n

    \u4e94\u3001\u4e09\u6b65\u4e0a\u624b\uff0c\u7acb\u523b\u4f53\u9a8c\u201c\u56fd\u4ea7+NV\u201d\u53cc\u6808\u7b97\u529b<\/h2>\n
      \n
    1. \u6253\u5f00 starverse-ai.com<\/a> \u6ce8\u518c\u8d26\u53f7\uff0c\u65b0\u4eba\u81ea\u52a8\u5230\u8d26 10 \u5143\u4f53\u9a8c\u91d1 <\/li>\n
    2. \u5728\u300c\u6df7\u5408\u6c60\u300d\u6807\u7b7e\u4e0b\u521b\u5efa\u5b9e\u4f8b\uff0c\u9009\u62e9\u201cAuto\u201d\u6a21\u5f0f\uff0c\u5e73\u53f0\u5c06\u4f9d\u636e\u6a21\u578b\u5927\u5c0f\u667a\u80fd\u5206\u914d GPU \u7c7b\u578b <\/li>\n
    3. \u4ece\u9884\u7f6eAI\u5e94\u7528<\/a>\u6a21\u677f\u542f\u52a8\uff0c\u6216\u901a\u8fc7 JupyterLab \u4e0a\u4f20\u81ea\u6709\u4ee3\u7801\uff0cSlurm \u961f\u5217\u4e0e Kubernetes \u5f39\u6027\u526f\u672c\u5df2\u5168\u90e8\u914d\u7f6e\u5b8c\u6bd5 <\/li>\n<\/ol>\n

      \u516d\u3001\u5199\u5728\u6700\u540e<\/h2>\n

      \u56fd\u4ea7\u82af\u7247\u4e07\u5361\u96c6\u7fa4\u7684\u5e76\u7f51\uff0c\u53ea\u662f\u201c\u56fd\u4ea7\u66ff\u4ee3\u201d\u957f\u5f81\u7684\u7b2c\u4e00\u6b65\u3002\u53ea\u6709\u628a\u751f\u6001\u9694\u9602\u62b9\u5e73\uff0c\u8ba9\u5f00\u53d1\u8005\u56de\u5f52\u201c\u5199\u4e00\u5957\u4ee3\u7801\u3001\u968f\u5904\u53ef\u8dd1\u201d\uff0c\u7b97\u529b\u6210\u672c\u624d\u80fd\u771f\u6b63\u8f6c\u5316\u4e3a\u4e1a\u52a1\u6536\u76ca\u3002\u661f\u5b87\u667a\u7b97\u7528\u6df7\u5408\u4e91\u67b6\u6784\u628a NVIDIA \u4e0e\u56fd\u4ea7 GPU \u88c5\u8fdb\u540c\u4e00\u4e2a\u8d44\u6e90\u6c60\uff0c\u8ba9GPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u50cf\u62e7\u5f00\u6c34\u9f99\u5934\u4e00\u6837\u7b80\u5355\uff0c\u4e5f\u8ba9\u201c\u56fd\u4ea7+NV\u201d\u4e0d\u518d\u662f\u4e00\u9053\u9009\u62e9\u9898\uff0c\u800c\u662f\u4e00\u9053\u53ef\u4ee5\u201c\u5168\u90fd\u8981\u201d\u7684\u5fc5\u7b54\u9898\u3002 <\/p>\n

      \u73b0\u5728\u5c31\u7528 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u5f00\u542f\u4f60\u7684\u53cc\u6808\u7b97\u529b\u4e4b\u65c5\u5427\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

      \u201c\u56fd\u4ea7 TPUs \/ MTTs \u4e07\u5361\u7ea7\u96c6\u7fa4\u6b63\u5f0f\u5e76\u7f51\uff01\u201d \u4e0a\u5468…<\/p>\n","protected":false},"author":2,"featured_media":2425,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2426","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zixun"],"views":53,"_links":{"self":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2426","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/comments?post=2426"}],"version-history":[{"count":0,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2426\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media\/2425"}],"wp:attachment":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media?parent=2426"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/categories?post=2426"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/tags?post=2426"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}