{"id":2650,"date":"2026-03-05T16:13:59","date_gmt":"2026-03-05T08:13:59","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/2650"},"modified":"2026-03-05T16:13:59","modified_gmt":"2026-03-05T08:13:59","slug":"%e5%a4%a7%e6%a8%a1%e5%9e%8b%e6%8e%a8%e7%90%86%e4%b9%9f%e8%a6%81%e7%ae%97%e5%8a%9b%ef%bc%9a%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97-gpu%e4%ba%91%e4%b8%bb%e6%9c%ba-%e9%83%a8%e7%bd%b2-llama-3-70b%ef%bc%8cqps","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/2650","title":{"rendered":"\u5927\u6a21\u578b\u63a8\u7406\u4e5f\u8981\u7b97\u529b\uff1a\u661f\u5b87\u667a\u7b97 GPU\u4e91\u4e3b\u673a \u90e8\u7f72 Llama-3-70B\uff0cQPS \u63d0\u5347 5 \u500d\u5b9e\u8df5"},"content":{"rendered":"
\"\u5927\u6a21\u578b\u63a8\u7406\u4e5f\u8981\u7b97\u529b\uff1a\u661f\u5b87\u667a\u7b97<\/figure>\n
\n

\u201cLlama-3-70B \u7684\u5f00\u6e90\uff0c\u628a\u5927\u6a21\u578b\u63a8\u7406\u7684\u7b97\u529b\u95e8\u69db\u76f4\u63a5\u62ac\u5230\u4e86\u8bad\u7ec3\u4e4b\u4e0a\u3002\u201d
\n\u2014\u2014Meta \u5b98\u65b9\u6280\u672f\u535a\u5ba2<\/p>\n<\/blockquote>\n

\u8fc7\u53bb\u4e24\u5468\uff0c\u8fd9\u6761\u7ed3\u8bba\u5728 Hugging Face \u7684\u6bcf\u65e5\u4e0b\u8f7d\u699c\u88ab\u53cd\u590d\u9a8c\u8bc1\uff1a70B \u53c2\u6570\u91cf\u7684 Llama-3 \u63a8\u7406\u955c\u50cf\u5355\u65e5\u62c9\u53d6\u91cf\u7a81\u7834 30 \u4e07\u6b21\uff0cGPU \u5cf0\u503c\u7b97\u529b\u6d88\u8017\u8fbe\u5230\u8bad\u7ec3\u9636\u6bb5\u7684 1.8 \u500d\u3002\u5f53\u201c\u5927\u201d\u4e0d\u518d\u662f\u5b9e\u9a8c\u5ba4\u91cc\u7684\u73a9\u5177\uff0c\u800c\u662f SaaS \u521b\u4e1a\u8005\u7b2c\u4e8c\u5929\u5c31\u8981\u4e0a\u7ebf\u7684\u5ba2\u670d\u673a\u5668\u4eba\u3001\u7535\u5546\u6587\u6848\u3001\u6cd5\u5f8b\u52a9\u624b\u65f6\uff0c\u201c\u80fd\u4e0d\u80fd\u5728 200ms \u5185\u5410\u51fa\u7b2c\u4e00\u4e2a token\u201d<\/strong> \u5c31\u6210\u4e86\u51b3\u5b9a\u878d\u8d44\u8fdb\u5ea6\u6761\u7684\u6838\u5fc3 KPI\u3002<\/p>\n

CPU \u7684 3 \u79d2\u5ef6\u8fdf\uff0c\u6b63\u5728\u6740\u6b7b\u521b\u4e1a\u516c\u53f8\u7684\u7b2c\u4e8c\u8f6e demo<\/h2>\n

\u6211\u4eec\u8d70\u8bbf\u4e86 12 \u5bb6\u9996\u6279\u63a5\u5165 Llama-3-70B \u7684\u521d\u521b\u56e2\u961f\uff0c\u5f97\u5230\u4e00\u4e32\u89e6\u76ee\u60ca\u5fc3\u7684\u6570\u5b57\uff1a
\n– \u7eaf CPU \u63a8\u7406\u5e73\u5747\u9996 Token \u5ef6\u8fdf 3.2s\uff0cP99 \u5ef6\u8fdf 7.4s\uff1b
\n– \u5e76\u53d1\u8d85\u8fc7 8 \u8bf7\u6c42\uff0c\u8fdb\u7a0b\u76f4\u63a5 OOM\uff0c\u5bb9\u5668\u91cd\u542f\u65f6\u95f4 45s\uff1b
\n– \u4e3a\u4e86\u4e0d\u6389\u7ebf\uff0c\u5de5\u7a0b\u5e08\u88ab\u8feb\u628a batch size \u538b\u5230 1\uff0cGPU \u5229\u7528\u7387\u4e0d\u5230 12%\uff0c\u6210\u672c\u5374\u6309 100% \u4ea4\u79df<\/strong>\u3002<\/p>\n

\u201c\u5ba2\u6237\u4e0d\u4f1a\u542c\u4f60\u89e3\u91ca\u663e\u5b58\u5e26\u5bbd\uff0c\u4ed6\u4eec\u53ea\u4f1a\u56e0\u4e3a\u4e00\u6b21 5s \u7684\u7a7a\u767d\u8f6c\u8eab\u79bb\u5f00\u3002\u201d\u2014\u2014\u67d0\u4f4d\u6cd5\u5f8b AI \u521b\u59cb\u4eba\u5982\u662f\u8bf4\u3002<\/p>\n

\u53cc A100 \u8282\u70b9 + \u53cc\u5f15\u64ce\uff0c\u628a QPS \u4ece 4 \u62c9\u5230 22<\/h2>\n

\u661f\u5b87\u667a\u7b97\u6280\u672f\u56e2\u961f\u5728 4 \u6708\u5e95\u5b8c\u6210\u4e86\u4e00\u8f6e\u5185\u90e8\u538b\u6d4b\uff1a
\n– \u673a\u578b\uff1a2\u00d7A100 80G SXM\uff08NVLink 600 GB\/s\uff09
\n– \u6846\u67b6\uff1aTensorRT-LLM 0.7 \u4e3b\u5f15\u64ce\uff0cvLLM 0.4 \u70ed\u5907\uff0c\u52a8\u6001\u5207\u6362\u65e0\u611f\u964d\u7ea7
\n– \u7cbe\u5ea6\uff1aFP16\uff0cKV-Cache \u5360\u6bd4 55%\uff0c\u6700\u5927\u5e76\u53d1 256
\n– \u7ed3\u679c\uff1a\u9996 Token \u5ef6\u8fdf <200ms\uff0c\u7aef\u5230\u7aef QPS 22.3\uff0c\u76f8\u6bd4 CPU \u65b9\u6848\u63d0\u5347 5.6 \u500d<\/strong><\/p>\n

\u66f4\u5173\u952e\u7684\u662f\u6210\u672c\u66f2\u7ebf\uff1a\u6309\u79d2\u8ba1\u8d39\u7684 GPU\u670d\u52a1\u5668\u79df\u7528<\/a> \u6a21\u5f0f\uff0c\u8ba9\u8fd9\u6279 A100 \u5728\u95f2\u65f6\u81ea\u52a8\u5173\u673a\uff0c\u8d39\u7528\u76f4\u63a5\u5f52\u96f6\uff1b\u800c\u5f53\u6d41\u91cf\u6d2a\u5cf0\u5230\u6765\uff0c\u6a2a\u5411\u6269\u5bb9 8 \u8282\u70b9\u53ea\u9700 38 \u79d2\uff0c\u5355\u8bf7\u6c42\u6210\u672c\u964d\u81f3 0.0017 \u5143<\/strong>\uff0c\u6bd4\u81ea\u5efa\u673a\u623f\u4f4e 72%\u3002<\/p>\n

\u4e00\u5468\u4e0a\u7ebf\uff0c\u7701\u4e0b 70% \u524d\u671f\u6295\u5165<\/h2>\n

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\n1. \u5728\u661f\u5b87\u667a\u7b97\u6ce8\u518c\uff0c\u65b0\u7528\u6237\u5230\u8d26 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u96f6\u6210\u672c\u62c9\u8d77 2\u00d7A100 80G GPU\u4e91\u4e3b\u673a<\/strong>\uff1b
\n2. \u4ece\u5e73\u53f0\u5185\u7f6e\u7684\u6a21\u578b\u4ed3\u5e93\u4e00\u952e\u590d\u5236 Llama-3-70B\uff0cTensorRT-LLM \u955c\u50cf\u5df2\u9884\u88c5\uff1b
\n3. \u901a\u8fc7 \u4e91\u786c\u76d8<\/a> \u6302\u8f7d 1TB \u6301\u4e45\u5316\u5b58\u50a8\uff0c\u628a 200 \u4e07\u6761\u88c1\u5224\u6587\u4e66\u7f13\u5b58\u5230\u672c\u5730\uff0c\u907f\u514d\u91cd\u590d\u4e0b\u8f7d\uff1b
\n4. \u5f00\u542f\u81ea\u52a8\u5f39\u6027\u7b56\u7565\uff1aCPU>75% \u6301\u7eed 30s \u5373\u6269\u5bb9\uff0c<25% \u6301\u7eed 5min \u5373\u7f29\u5bb9\u3002<\/p>\n

\u6574\u4e2a\u6d41\u7a0b 4 \u5c0f\u65f6\u8dd1\u901a\uff0c\u7b2c\u4e8c\u5929\u5c31\u8fce\u6765\u4e86\u7b2c\u4e00\u4e2a\u4ed8\u8d39\u5ba2\u6237\u3002\u201c\u5982\u679c\u81ea\u5efa\u673a\u623f\uff0c\u5149\u91c7\u8d2d\u5c31\u5f97 45 \u4e07\uff0c\u8fd8\u4e0d\u7b97\u673a\u623f\u79df\u91d1\u548c\u8fd0\u7ef4\u3002\u73b0\u5728\u6309\u91cf\u4ed8\u8d39\uff0c\u9996\u6708\u8d26\u5355 6800 \u5143\uff0c\u57fa\u672c\u7b49\u4e8e\u4e00\u53f0\u6e38\u620f\u672c\u3002\u201d<\/strong> \u521b\u59cb\u4eba\u5468\u5189\u5728\u590d\u76d8\u4f1a\u4e0a\u7b97\u4e86\u4e00\u7b14\u8d26\uff1a\u628a\u7701\u4e0b\u7684 70% \u786c\u4ef6\u9884\u7b97\u76f4\u63a5\u6295\u8fdb\u5e02\u573a\u6295\u653e\uff0c\u7b2c\u4e8c\u4e2a\u6708 MRR \u7ffb\u4e86\u4e09\u500d\u3002<\/p>\n

\u4e0d\u53ea\u662f\u7b97\u529b\uff0c\u66f4\u662f AI \u5e94\u7528\u7684\u4e00\u7ad9\u5f0f\u8df3\u677f<\/h2>\n

\u5f88\u591a\u5f00\u53d1\u8005\u62c5\u5fc3\u201c\u6709\u4e86\u5361\uff0c\u4e0d\u4f1a\u8c03\u201d\u3002\u661f\u5b87\u667a\u7b97\u628a\u6846\u67b6\u5c42\u505a\u6210\u4e86\u201c\u4e00\u952e\u5373\u73a9\u201d\u7684 AI\u5e94\u7528 \u5e02\u573a\uff1a
\n– \u5185\u7f6e 500+ \u516c\u5171\u6a21\u578b\u3001100+ \u4e3b\u6d41\u6570\u636e\u96c6\uff0c\u542f\u52a8\u5b9e\u4f8b\u5373\u53ef cp<\/code> \u5230\u672c\u5730<\/strong>\uff1b
\n– JupyterLab\u3001VS Code\u3001TensorBoard \u9884\u88c5\u5b8c\u6bd5\uff0c\u8fdc\u7a0b\u5f00\u53d1\u8ddf\u672c\u5730\u4e00\u6837\u987a\u6ed1\uff1b
\n– \u652f\u6301\u8de8\u5b9e\u4f8b\u5171\u4eab\u7684 \u4e91\u5b58\u50a8<\/a>\uff0c\u8bad\u7ec3\u5230\u63a8\u7406\u96f6\u8fc1\u79fb\u6210\u672c\uff1b
\n– \u5e73\u53f0\u7ea7\u76d1\u63a7\uff1aGPU \u5229\u7528\u7387\u3001\u663e\u5b58\u5360\u7528\u3001QPS\u3001Token \u5ef6\u8fdf\u5168\u90e8\u53ef\u89c6\u5316\uff0c\u62a5\u8b66\u6a21\u677f\u76f4\u63a5\u98de\u4e66\/\u9489\u9489\/Slack<\/strong>\u3002<\/p>\n

\u6362\u53e5\u8bdd\u8bf4\uff0c\u4f60\u62ff\u5230\u7684\u4e0d\u6b62\u662f\u88f8\u91d1\u5c5e\uff0c\u800c\u662f\u4e00\u5957\u5df2\u7ecf\u8c03\u901a\u3001\u968f\u65f6\u53ef\u590d\u5236\u7684\u201cLlama-3 \u751f\u4ea7\u7ebf\u201d\u3002<\/p>\n

\u5199\u5728\u6700\u540e\uff1a\u628a\u521b\u65b0\u7559\u7ed9\u7b97\u6cd5\uff0c\u628a\u7b97\u529b\u4ea4\u7ed9\u661f\u5b87<\/h2>\n

\u5f53\u5927\u6a21\u578b\u8fdb\u5165\u201c\u63a8\u7406\u5373\u670d\u52a1\u201d\u65f6\u4ee3\uff0c\u201c\u80fd\u4e0d\u80fd\u5feb\u901f\u3001\u4fbf\u5b9c\u3001\u7a33\u5b9a\u5730\u62c9\u5230 GPU\u201d<\/strong> \u51b3\u5b9a\u4e86\u4ea7\u54c1\u4e0a\u7ebf\u901f\u5ea6\uff0c\u4e5f\u51b3\u5b9a\u4e86\u516c\u53f8\u73b0\u91d1\u6d41\u3002\u661f\u5b87\u667a\u7b97\u7528\u4e00\u5f20\u6309\u79d2\u8ba1\u8d39\u7684\u8d26\u5355\uff0c\u628a 70 \u4e07\u7684\u4e00\u6b21\u6027 CapEx \u53d8\u6210 6800 \u5143\u7684 OpEx\uff0c\u8ba9\u521b\u4e1a\u56e2\u961f\u628a\u5b9d\u8d35\u7684\u80a1\u6743\u7559\u7ed9\u4ea7\u54c1\u7ecf\u7406\uff0c\u800c\u4e0d\u662f\u673a\u623f\u3002 <\/p>\n

\u73b0\u5728\u6ce8\u518c \u661f\u5b87\u667a\u7b97<\/a>\uff0c\u65b0\u7528\u6237\u5373\u523b\u9886\u53d6 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u96f6\u6210\u672c\u542f\u52a8 2\u00d7A100 80G GPU\u4e91\u4e3b\u673a<\/strong>\uff0c\u628a Llama-3-70B \u7684 200ms \u9996 Token \u5e26\u5230\u4f60\u7684\u4e0b\u4e00\u8f6e\u878d\u8d44 PPT \u91cc\u3002 <\/p>\n

\u5927\u6a21\u578b\u63a8\u7406\u4e5f\u8981\u7b97\u529b\uff0c\u4f46\u7b97\u529b\u4e0d\u518d\u662f\u5927\u5382\u7684\u7279\u6743\u2014\u2014\u5b83\u6b63\u8eba\u5728\u4e91\u7aef\uff0c\u7b49\u4f60\u6309\u4e0b\u201c\u5f00\u673a\u201d\u952e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u201cLlama-3-70B \u7684\u5f00\u6e90\uff0c\u628a\u5927\u6a21\u578b\u63a8\u7406\u7684\u7b97\u529b\u95e8\u69db\u76f4\u63a5…<\/p>\n","protected":false},"author":2,"featured_media":2649,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2650","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zixun"],"views":83,"_links":{"self":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2650","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=2650"}],"version-history":[{"count":0,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2650\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media\/2649"}],"wp:attachment":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media?parent=2650"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/categories?post=2650"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/tags?post=2650"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}