{"id":2547,"date":"2026-03-04T16:08:18","date_gmt":"2026-03-04T08:08:18","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/2547"},"modified":"2026-03-04T16:08:18","modified_gmt":"2026-03-04T08:08:18","slug":"%e5%bc%80%e6%ba%90-llama-3-70b-%e5%88%9a%e5%8f%91%e5%b8%83%ef%bc%8c%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97-24g-%e6%98%be%e5%ad%98-gpu%e6%9c%8d%e5%8a%a1%e5%99%a8%e7%a7%9f%e7%94%a8-%e4%b9%9f%e8%83%bd","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/2547","title":{"rendered":"\u5f00\u6e90 Llama 3 70B \u521a\u53d1\u5e03\uff0c\u661f\u5b87\u667a\u7b97 24G \u663e\u5b58 GPU\u670d\u52a1\u5668\u79df\u7528 \u4e5f\u80fd\u4f4e\u6210\u672c\u8dd1\u6ee1\u8840\u7248"},"content":{"rendered":"
\"\u5f00\u6e90<\/figure>\n

\u5f00\u6e90 Llama 3 70B \u521a\u53d1\u5e03\uff0c\u661f\u5b87\u667a\u7b97 24G \u663e\u5b58 GPU\u670d\u52a1\u5668\u79df\u7528 \u4e5f\u80fd\u4f4e\u6210\u672c\u8dd1\u6ee1\u8840\u7248<\/h1>\n
\n

\u201c\u5f00\u6e90\u5927\u6a21\u578b\u53c2\u6570\u7ffb\u500d\uff0c\u63a8\u7406\u95e8\u69db\u518d\u63d0\u9ad8\u3002\u201d
\n\u8fd9\u662f\u8fc7\u53bb\u4e24\u5468 AI \u793e\u533a\u6700\u70ed\u7684\u5171\u8bc6\u3002Meta \u4e00\u7eb8\u516c\u544a\u628a Llama 3 70B \u63a8\u5411\u524d\u53f0\uff0c\u53c2\u6570\u91cf\u3001\u4e0a\u4e0b\u6587\u957f\u5ea6\u3001\u63a8\u7406\u7b97\u529b\u9700\u6c42\u540c\u6b65\u98d9\u5347\uff0c\u672c\u5730 4090 \u5355\u5361 24G \u663e\u5b58\u76f4\u63a5\u201c\u7206\u663e\u5b58\u201d\u3002\u5f53\u5f00\u53d1\u8005\u8fd8\u5728\u7ea0\u7ed3\u8981\u4e0d\u8981\u82b1 3 \u4e07\u5143\u4e70\u65b0\u5361\u65f6\uff0cGPU\u670d\u52a1\u5668\u79df\u7528<\/strong> \u5df2\u7ecf\u6210\u4e3a\u6700\u5feb\u6377\u7684\u89e3\u9898\u601d\u8def\u2014\u2014\u5c24\u5176\u662f\u80fd\u628a\u300c\u6ee1\u8840\u7248 70B\u300d\u5728 3 \u5206\u949f\u5185\u8dd1\u8d77\u6765\u7684\u90a3\u79cd\u3002<\/p>\n<\/blockquote>\n

\n

1. \u5927\u6a21\u578b\u53c2\u6570\u7ffb\u500d\uff0c\u63a8\u7406\u95e8\u69db\u518d\u63d0\u9ad8<\/h2>\n

Llama 3 70B \u7684\u6743\u91cd\u6587\u4ef6 130GB+\uff0cFP16 \u63a8\u7406\u5cf0\u503c\u663e\u5b58\u5360\u7528 140GB\uff0c\u5373\u4f7f INT4 \u91cf\u5316\u4e5f\u8981 42GB\u3002\u4f20\u7edf\u6d88\u8d39\u7ea7\u663e\u5361 24G \u663e\u5b58\u770b\u4f3c\u201c\u6478\u8fb9\u201d\uff0c\u5b9e\u5219\u7cfb\u7edf\u5f00\u9500\u4e00\u6263\uff0cCUDA OOM \u62a5\u9519\u5982\u7ea6\u800c\u81f3\u3002
\n\u66f4\u5927\u7684\u75db\u70b9\u662f\u5e26\u5bbd\uff1a70B \u6a21\u578b\u5bf9 PCIe \u4f20\u8f93\u3001\u5185\u5b58\u5e26\u5bbd\u3001\u8282\u70b9\u5185\u4e92\u8054\u7684\u9965\u6e34\u7a0b\u5ea6\u5448\u6307\u6570\u7ea7\u4e0a\u5347\uff0cGPU\u4e91\u4e3b\u673a<\/strong> \u5982\u679c\u53ea\u7528\u88f8\u91d1\u5c5e\u51fa\u79df\uff0c\u7528\u6237\u4ecd\u9700\u81ea\u5df1\u88c5\u9a71\u52a8\u3001\u914d\u73af\u5883\u3001\u8c03\u6846\u67b6\uff0c\u8017\u65f6\u52a8\u8f84\u534a\u5929\u3002
\n\u201c\u6a21\u578b\u5f00\u6e90\u4e86\uff0c\u7b97\u529b\u5374\u95ed\u6e90\u4e86\u201d\u2014\u2014\u8fd9\u662f\u4e2d\u5c0f\u56e2\u961f\u9762\u5bf9 Llama 3 70B \u7684\u771f\u5b9e\u5199\u7167\u3002<\/p>\n

\n

2. \u5e73\u53f0\u9884\u8bbe\u91cf\u5316 + vLLM \u52a0\u901f\u6808\uff0c\u300c\u4e00\u952e\u5373\u73a9\u300d3 \u5206\u949f\u62c9\u8d77 70B \u670d\u52a1<\/h2>\n

\u661f\u5b87\u667a\u7b97\u628a\u201c\u7b97\u529b\u95ed\u6e90\u201d\u7684\u88c2\u7f1d\u76f4\u63a5\u6495\u5f00\uff1a
\n– \u955c\u50cf\u5185\u7f6e vLLM<\/a> 0.4.1 + PyTorch 2.2\uff0cCUDA 12.1 \u9a71\u52a8\u5168\u7cfb\u914d\u597d\uff0c\u5f00\u673a\u5373\u7528\uff1b
\n– \u5b98\u65b9\u63d0\u4f9b INT4\/INT8\/GPTQ \u4e09\u79cd\u91cf\u5316\u7248\u672c\uff0c24G \u663e\u5b58 GPU\u670d\u52a1\u5668\u79df\u7528<\/strong> \u5373\u53ef\u8dd1\u6ee1 70B\uff0c\u541e\u5410\u91cf\u8f83\u539f\u751f HuggingFace \u63d0\u5347 5.7 \u500d\uff1b
\n– \u63a7\u5236\u53f0\u70b9\u51fb\u300cLlama-3-70B-Instruct\u300d\u6a21\u677f \u2192 \u9009\u62e9 1\u00d74090\/2\u00d74090\/4\u00d74090 \u2192 \u542f\u52a8\uff0c3 \u5206\u949f\u62ff\u5230 8000 tokens\/s \u7684 HTTP \u63a5\u53e3\u3002 <\/p>\n

\u5f00\u53d1\u8005\u65e0\u9700\u518d\u7ffb\u91cf\u5316\u6559\u7a0b\u3001\u65e0\u9700\u6df1\u591c\u8c03\u8bd5 NCCL\uff0cAI\u5e94\u7528<\/strong> \u7684\u521b\u610f\u843d\u5730\u88ab\u538b\u7f29\u6210\u4e00\u6b21\u9f20\u6807\u70b9\u51fb\u3002 <\/p>\n

\n

3. \u6309\u9700\u5f39\u6027\u6269\u5bb9\uff0c\u5355\u5361\u21948 \u5361\u81ea\u52a8\u4f38\u7f29\uff0c\u6bd4\u4f20\u7edf\u4e91\u7701 45%<\/h2>\n

\u201c\u5927\u6a21\u578b\u63a8\u7406\u50cf\u6f6e\u6c50\uff0c\u767d\u5929\u9ad8\u5e76\u53d1\uff0c\u591c\u91cc\u96f6\u8c03\u7528\u3002\u201d
\n\u661f\u5b87\u667a\u7b97\u57fa\u4e8e Kubernetes \u81ea\u7814\u7684 AI-Scaler<\/code> \u7ec4\u4ef6\uff0c\u53ef\u6309 QPS \u5b9e\u65f6\u6307\u6807\u5728 60 \u79d2\u5185\u5b8c\u6210\uff1a
\n– \u7eb5\u5411\u4f38\u7f29\uff1a\u5355\u5361 24G \u663e\u5b58\u4e0d\u8db3\u65f6\uff0c\u81ea\u52a8\u628a\u6a21\u578b\u5e76\u884c\u62c6\u5230 2 \u5361\u30014 \u5361\uff0cGPU\u4e91\u4e3b\u673a<\/strong> \u79d2\u7ea7\u6302\u8f7d\uff1b
\n– \u6a2a\u5411\u4f38\u7f29\uff1a8 \u5361\u8282\u70b9\u6c60\u4e00\u952e\u590d\u5236\uff0c\u8d1f\u8f7d\u964d\u4f4e\u540e\u81ea\u52a8\u7f29\u56de\uff0c\u8ba1\u8d39\u7cbe\u786e\u5230\u5206\u949f\u3002 <\/p>\n

\u5bf9\u6bd4\u4f20\u7edf\u4e91\u5382\u5546\u201c\u5305\u6708 GPU \u5305\u201d\u56fa\u5b9a\u8ba1\u8d39\uff0c\u661f\u5b87\u667a\u7b97\u5e73\u5747\u4e3a\u5ba2\u6237\u8282\u7701 45% \u6210\u672c\u2014\u2014GPU\u670d\u52a1\u5668\u79df\u7528<\/strong> \u4e0d\u518d\u662f\u201c\u5305\u5e74\u5927\u5192\u9669\u201d\uff0c\u800c\u662f\u50cf\u81ea\u6765\u6c34\u4e00\u6837\u7528\u591a\u5c11\u4ed8\u591a\u5c11\u3002 <\/p>\n

\n

4. \u5185\u7f6e 3000G \u4e2d\u6587\u6570\u636e\u96c6\uff0c\u76f4\u63a5\u8c03\u7528 RAG \u6784\u5efa\u79c1\u57df\u77e5\u8bc6\u5e93<\/h2>\n

Llama 3 70B \u539f\u751f\u4e2d\u6587\u8bed\u6599\u5360\u6bd4\u4e0d\u5230 15%\uff0c\u76f4\u63a5\u5546\u7528\u5e38\u51fa\u73b0\u201c\u5e7b\u89c9\u201d\u3002\u661f\u5b87\u667a\u7b97\u516c\u5171\u8d44\u6e90\u5e93\u5df2\u5185\u7f6e\uff1a
\n– 3000G \u6e05\u6d17\u540e\u4e2d\u6587\u8bed\u6599\uff1a\u767e\u79d1\u3001\u95ee\u7b54\u3001\u91d1\u878d\u3001\u533b\u7597\u3001\u6cd5\u89c4 18 \u5927\u7c7b\uff1b
\n– 1300 \u4e07\u6761\u5411\u91cf\u7d22\u5f15\uff0c\u57fa\u4e8e bge-large-zh-v1.5 \u9884\u7f16\u7801\uff1b
\n– \u53ef\u89c6\u5316 RAG \u5de5\u4f5c\u6d41\uff1a\u4e0a\u4f20\u4f01\u4e1a PDF\/CSV \u2192 \u81ea\u52a8\u5207\u7247 \u2192 \u5411\u91cf\u5165\u5e93 \u2192 \u5bf9\u8bdd\u6d4b\u8bd5\uff0c\u5168\u7a0b 10 \u5206\u949f\u3002 <\/p>\n

\u7528\u6237\u53ea\u8981\u628a\u79c1\u6709\u6570\u636e\u62d6\u8fdb\u4e91\u5b58\u50a8<\/a>\uff0c\u5373\u53ef\u5728GPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u5b9e\u4f8b\u91cc\u76f4\u63a5\u6302\u8f7d\uff0c\u65e0\u9700\u518d\u8dd1\u722c\u866b\u3001\u4e70\u7b2c\u4e09\u65b9\u5411\u91cf\u5e93\uff0cAI\u5e94\u7528<\/strong> \u7684\u201c\u6700\u540e\u4e00\u516c\u91cc\u201d\u88ab\u5e73\u53f0\u4e00\u952e\u586b\u5e73\u3002<\/p>\n

\n

5. \u5b9e\u6218\uff1a\u4e2d\u5c0f\u4f01\u4e1a\u5ba2\u670d\u673a\u5668\u4eba\u4e0a\u7ebf\u5168\u7eaa\u5f55<\/h2>\n

\u80cc\u666f<\/strong>\uff1a\u67d0\u8de8\u5883\u7535\u5546 12 \u4eba\u56e2\u961f\uff0c\u60f3\u5229\u7528 Llama 3 70B \u505a 7\u00d724 \u4e2d\u6587-\u897f\u73ed\u7259\u8bed\u5ba2\u670d\u3002
\n\u9884\u7b97<\/strong>\uff1a< 3000 \u5143\/\u6708\u3002
\n\u65b9\u6848<\/strong>\uff1a
\n1. \u6ce8\u518c\u661f\u5b87\u667a\u7b97\uff0c\u65b0\u7528\u6237\u5230\u8d26 10 \u5143\u4f53\u9a8c\u91d1\uff0c0 \u5143\u8bd5\u7528 4090 \u5355\u5361 6 \u5c0f\u65f6\uff1b
\n2. \u9009\u62e9\u300cLlama-3-70B-Instruct + RAG\u300d\u7ec4\u5408\u6a21\u677f\uff0c1\u00d74090 \u542f\u52a8\uff0cINT4 \u91cf\u5316\u540e\u663e\u5b58\u5360\u7528 22G\uff1b
\n3. \u4e0a\u4f20\u5386\u53f2 1.2 \u4e07\u6761\u5ba2\u670d\u5bf9\u8bdd\uff0c\u5e73\u53f0\u81ea\u52a8\u5411\u91cf\u5316\u5e76\u5199\u5165\u4e91\u786c\u76d8<\/a>\uff1b
\n4. \u901a\u8fc7\u5185\u7f6e\u7684 llamaindex<\/code> \u793a\u4f8b\u4ee3\u7801\uff0c\u628a API \u63a5\u5165\u5fae\u4fe1\u516c\u4f17\u53f7\uff0c\u54cd\u5e94\u5ef6\u8fdf 1.2 \u79d2\uff1b
\n5. \u767d\u5929\u9ad8\u5cf0\u81ea\u52a8\u6269\u5bb9\u5230 2\u00d74090\uff0c\u591c\u95f4\u7f29\u5bb9\uff0cGPU\u670d\u52a1\u5668\u79df\u7528<\/strong> \u8d39\u7528 86 \u5143\/\u5929\uff0c\u6574\u6708 2580 \u5143\uff0c\u8f83\u81ea\u8d2d\u786c\u4ef6\u8282\u7701 68%\uff0c\u4e14\u65e0\u9700\u8fd0\u7ef4\u503c\u73ed\u3002 <\/p>\n

\u4e0a\u7ebf\u4e24\u5468\uff0c\u673a\u5668\u4eba\u72ec\u7acb\u89e3\u51b3\u7387 78%\uff0c\u5ba2\u6237\u6ee1\u610f\u5ea6\u63d0\u5347 21%\uff0cCEO \u7684\u552f\u4e00\u62b1\u6028\u662f\uff1a\u201c\u65e9\u77e5\u9053\u5c31\u4e0d\u7528\u71ac\u591c\u62a2 A100 \u4e86\u3002\u201d<\/p>\n

\n

\u5c3e\u58f0\uff1a\u8ba9\u7b97\u529b\u56de\u5f52\u5de5\u5177\uff0c\u521b\u610f\u56de\u5f52\u5f00\u53d1\u8005<\/h2>\n

Llama 3 70B \u7684\u53d1\u5e03\u53ea\u662f\u5f00\u6e90\u6a21\u578b\u201c\u519b\u5907\u7ade\u8d5b\u201d\u7684\u4e2d\u573a\u54e8\u58f0\uff0c\u672a\u6765 100B\u3001200B\u3001\u591a\u6a21\u6001 combo \u5c06\u5c42\u51fa\u4e0d\u7a77\u3002\u4e0e\u5176\u6bcf\u6b21\u8ffd\u65b0\u5361\u3001\u8ffd\u9a71\u52a8\u3001\u8ffd\u6846\u67b6\uff0c\u4e0d\u5982\u628aGPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u4ea4\u7ed9\u4e13\u4e1a\u5e73\u53f0\uff1a
\n– \u60f3\u8bd5\u65b0\u6a21\u578b\uff0c\u661f\u5b87\u667a\u7b97<\/a> \u63d0\u4f9b 10 \u5143\u4f53\u9a8c\u91d1\uff0cGPU\u4e91\u4e3b\u673a<\/strong> 3 \u5206\u949f\u5230\u624b\uff1b
\n– \u8981\u8dd1\u751f\u4ea7\uff0c\u5f39\u6027\u4f38\u7f29\u5e2e\u4f60\u628a\u6210\u672c\u538b\u5230\u6700\u4f4e\uff1b
\n– \u7f3a\u6570\u636e\u3001\u7f3a\u5411\u91cf\u3001\u7f3a RAG\uff1f3000G \u4e2d\u6587\u8bed\u6599\u548c\u4e00\u952e\u6d41\u6c34\u7ebf\u5df2\u5907\u597d\u3002 <\/p>\n

\u7b97\u529b\u4e0d\u518d\u662f\u5927\u6a21\u578b\u7684\u95e8\u69db\uff0c\u521b\u610f\u624d\u662f\u3002
\n\u73b0\u5728\u5c31\u8bbf\u95ee \u661f\u5b87\u667a\u7b97<\/a>\uff0c\u6ce8\u518c\u9886\u53d6 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u628a\u4e0b\u4e00\u6b3eAI\u5e94\u7528<\/strong>\u4ece\u60f3\u6cd5\u53d8\u6210\u7ebf\u4e0a\u670d\u52a1\uff0c\u53ea\u9700\u4e00\u676f\u5496\u5561\u7684\u65f6\u95f4\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u5f00\u6e90 Llama 3 70B \u521a\u53d1\u5e03\uff0c\u661f\u5b87\u667a\u7b97 24G \u663e\u5b58…<\/p>\n","protected":false},"author":2,"featured_media":2546,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2547","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zixun"],"views":238,"_links":{"self":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2547","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=2547"}],"version-history":[{"count":0,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2547\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media\/2546"}],"wp:attachment":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media?parent=2547"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/categories?post=2547"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/tags?post=2547"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}