{"id":2527,"date":"2026-03-04T14:15:03","date_gmt":"2026-03-04T06:15:03","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/2527"},"modified":"2026-03-04T14:15:03","modified_gmt":"2026-03-04T06:15:03","slug":"%e5%9b%bd%e4%ba%a7gpu%e5%8a%a0%e9%80%9f%e5%8d%a1%e4%b9%9f%e8%83%bd%e8%b7%91llm%ef%bc%9f%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97%e5%b9%b3%e5%8f%b0%e5%a4%9a%e6%9e%b6%e6%9e%84%e6%b7%b7%e5%90%88%e8%b0%83","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/2527","title":{"rendered":"\u56fd\u4ea7GPU\u52a0\u901f\u5361\u4e5f\u80fd\u8dd1LLM\uff1f\u661f\u5b87\u667a\u7b97\u5e73\u53f0\u591a\u67b6\u6784\u6df7\u5408\u8c03\u5ea6\u5b9e\u6d4b"},"content":{"rendered":"<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.starverse-ai.com\/guide\/wp-content\/uploads\/2026\/03\/1772604903_3804a9.png\" alt=\"\u56fd\u4ea7GPU\u52a0\u901f\u5361\u4e5f\u80fd\u8dd1LLM\uff1f\u661f\u5b87\u667a\u7b97\u5e73\u53f0\u591a\u67b6\u6784\u6df7\u5408\u8c03\u5ea6\u5b9e\u6d4b\" style=\"display:block; margin:10px auto; max-width:100%; height:auto;\" \/><\/figure>\n<h1>\u56fd\u4ea7GPU\u52a0\u901f\u5361\u4e5f\u80fd\u8dd1LLM\uff1f\u661f\u5b87\u667a\u7b97\u5e73\u53f0\u591a\u67b6\u6784\u6df7\u5408\u8c03\u5ea6\u5b9e\u6d4b<\/h1>\n<blockquote>\n<p>\u201cA100 \u4e00\u5361\u96be\u6c42\uff0cH100 \u66f4\u662f\u6709\u4ef7\u65e0\u5e02\u3002\u201d\u8fc7\u53bb\u4e09\u4e2a\u6708\uff0c\u591a\u4f4d AI \u521b\u4e1a\u8005\u5411\u300a\u667a\u4e1c\u897f\u300b\u62b1\u6028\uff1a\u6d77\u5916\u9ad8\u7aef GPU \u4f9b\u5e94\u53d7\u9650\uff0c\u9879\u76ee\u88ab\u8feb\u5ef6\u671f\u3002<br \/>\n\u4e0e\u6b64\u540c\u65f6\uff0c\u56fd\u4ea7\u52a0\u901f\u5361\u5374\u5728\u6084\u7136\u63d0\u901f\uff1a\u534e\u4e3a\u6607\u817e 910B\u3001\u5bd2\u6b66\u7eaa MLU 370-X8 \u5148\u540e\u5ba3\u5e03\u652f\u6301 7B \u7ea7\u5927\u6a21\u578b\u63a8\u7406\uff0c\u6027\u80fd\u903c\u8fd1 NVIDIA \u4e3b\u6d41\u5361\u3002<br \/>\n\u95ee\u9898\u662f\uff0c<strong>\u56fd\u4ea7\u5361\u5230\u5e95\u80fd\u4e0d\u80fd\u63a5\u5f97\u4f4f\u751f\u6210\u5f0f AI \u7684\u201c\u6cfc\u5929\u6d41\u91cf\u201d\uff1f<\/strong> \u6211\u4eec\u51b3\u5b9a\u628a\u5b9e\u9a8c\u642c\u5230\u7ebf\u4e0a\u2014\u2014\u7528\u771f\u91d1\u767d\u94f6\u79df\u6765\u7684 GPU\u670d\u52a1\u5668\u79df\u7528\u8d44\u6e90\uff0c\u8dd1\u4e00\u6b21\u771f\u5200\u771f\u67aa\u7684\u5bf9\u51b3\u3002<\/p>\n<\/blockquote>\n<hr \/>\n<h2>1. \u80cc\u666f\uff1a\u5f53 NV \u4f9b\u5e94\u94fe\u201c\u8e29\u5239\u8f66\u201d\uff0c\u56fd\u4ea7\u65b9\u6848\u5fc5\u987b\u201c\u9876\u4e0a\u53bb\u201d<\/h2>\n<p>2024 Q1\uff0c\u56fd\u5185\u4e91\u5382\u5546 Nvidia \u9ad8\u7aef\u5361\u5e93\u5b58\u5468\u8f6c\u5929\u6570\u4ece 45 \u5929\u62c9\u957f\u5230 92 \u5929\uff0c\u76f4\u63a5\u5bfc\u81f4\u4e24\u7c7b\u5ba2\u6237\u201c\u53d7\u4f24\u201d\u6700\u6df1\uff1a<\/p>\n<ul>\n<li>\u9ad8\u6821\u5b9e\u9a8c\u5ba4\uff1a\u9884\u7b97\u56fa\u5b9a\uff0c\u5361\u4ef7\u4e0a\u6da8 30% \u5c31\u8d85\u652f\uff1b  <\/li>\n<li>\u521d\u521b\u56e2\u961f\uff1a\u5929\u4f7f\u8f6e\u8d44\u91d1\u5230\u8d26\uff0c\u5374\u4e70\u4e0d\u5230\u5361\uff0cDemo \u88ab\u8feb\u5ef6\u671f\u3002<\/li>\n<\/ul>\n<p><strong>\u201c\u786c\u4ef6\u9501\u5b9a\u201d\u98ce\u9669<\/strong>\u7b2c\u4e00\u6b21\u88ab\u5199\u8fdb\u5546\u4e1a\u8ba1\u5212\u4e66\u7684\u201c\u9ad8\u5371\u6e05\u5355\u201d\u3002\u4e8e\u662f\uff0c\u4e00\u6279\u505a\u201c\u591a\u67b6\u6784\u6df7\u5408\u8c03\u5ea6\u201d\u7684\u4e91\u5e73\u53f0\u6d6e\u51fa\u6c34\u9762\uff0c\u5176\u4e2d\u547c\u58f0\u6700\u9ad8\u7684\u5c31\u662f <strong><a href=\"https:\/\/www.starverse-ai.com\">\u661f\u5b87\u667a\u7b97<\/a><\/strong>\u2014\u2014\u540c\u65f6\u4e0a\u67b6 NVIDIA A100\u3001RTX 4090\u3001\u534e\u4e3a\u6607\u817e 910B\u3001\u5bd2\u6b66\u7eaa MLU 370-X8\uff0c\u5e76\u5f00\u653e Kubernetes \u7ea7\u88f8\u91d1\u5c5e\u8c03\u5ea6\u3002<br \/>\n\u6211\u4eec\u6ce8\u518c\u4e86\u65b0\u8d26\u53f7\uff08\u5e73\u53f0\u81ea\u52a8\u53d1\u653e 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u521a\u597d\u591f\u8dd1 2 \u5c0f\u65f6 RTX 4090\uff09\uff0c\u51b3\u5b9a\u7528\u5b9e\u6d4b\u6570\u636e\u9a8c\u8bc1\uff1a<strong>\u56fd\u4ea7\u5361\u8dd1 LLM\uff0c\u5230\u5e95\u884c\u8fd8\u662f\u4e0d\u884c\uff1f<\/strong><\/p>\n<hr \/>\n<h2>2. \u5e73\u53f0\uff1a\u4e00\u5f20\u201c\u62d3\u6251\u56fe\u201d\u770b\u61c2\u661f\u5b87\u667a\u7b97\u7684\u591a\u67b6\u6784\u6df7\u6c60<\/h2>\n<p>\u767b\u5f55\u63a7\u5236\u53f0\uff0c\u53ef\u4ee5\u770b\u5230\u56db\u79cd\u7b97\u529b SKU \u88ab\u62bd\u8c61\u6210\u540c\u4e00\u6392\u201c\u84dd\u8272\u8282\u70b9\u201d\uff1a<\/p>\n<table>\n<thead>\n<tr>\n<th>\u5361\u578b<\/th>\n<th>\u663e\u5b58<\/th>\n<th>FP16 \u7b97\u529b<\/th>\n<th>\u4ef7\u683c\uff08\u5143\/\u5361\u00b7\u65f6\uff09<\/th>\n<th>\u662f\u5426\u652f\u6301 Docker \u76f4\u901a<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>A100 80 GB<\/td>\n<td>80 GB<\/td>\n<td>312 TFLOPS<\/td>\n<td>8.8<\/td>\n<td>\u2705<\/td>\n<\/tr>\n<tr>\n<td>RTX 4090<\/td>\n<td>24 GB<\/td>\n<td>82.6 TFLOPS<\/td>\n<td>2.2<\/td>\n<td>\u2705<\/td>\n<\/tr>\n<tr>\n<td>\u6607\u817e 910B<\/td>\n<td>32 GB<\/td>\n<td>280 TFLOPS<\/td>\n<td>5.0<\/td>\n<td>\u2705<\/td>\n<\/tr>\n<tr>\n<td>\u5bd2\u6b66\u7eaa 370-X8<\/td>\n<td>48 GB<\/td>\n<td>192 TFLOPS<\/td>\n<td>4.2<\/td>\n<td>\u2705<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u661f\u5b87\u667a\u7b97\u628a\u56db\u79cd\u67b6\u6784\u88c5\u8fdb\u540c\u4e00\u5957 Kubernetes\uff0c\u901a\u8fc7 <strong>Device-Plugin + NUMA \u4eb2\u548c\u6027\u8c03\u5ea6<\/strong>\uff0c\u8ba9\u4e0d\u540c\u5361\u5728\u540c\u4e00\u4e2a Pod \u7f51\u7edc\u91cc\u4e92\u4e3a\u201c\u51b7\u70ed\u5907\u4efd\u201d\u3002<br \/>\n\u6362\u53e5\u8bdd\u8bf4\uff0c\u7528\u6237\u53ea\u9700\u5199\u4e00\u4efd YAML\uff0c\u5e73\u53f0\u4f1a\u81ea\u52a8\u628a\u6a21\u578b\u201c\u8def\u7531\u201d\u5230\u5f53\u524d\u7a7a\u95f2\u4e14\u6027\u4ef7\u6bd4\u6700\u9ad8\u7684\u5361\u2014\u2014<strong>\u65e2\u4e0d\u7528\u6539 CUDA \u4ee3\u7801\uff0c\u4e5f\u4e0d\u7528\u5173\u5fc3 CANN \u7248\u672c\u53f7<\/strong>\uff0c\u771f\u6b63\u505a\u5230\u201c\u4e00\u952e\u5373\u73a9\u201d\u3002<\/p>\n<hr \/>\n<h2>3. \u5b9e\u6d4b\uff1a7B \u6a21\u578b\u63a8\u7406\uff0c\u56fd\u4ea7\u5361\u5ef6\u8fdf\u4ec5 +8%\uff0c\u6210\u672c\u5374\u964d 40%<\/h2>\n<p>\u5b9e\u9a8c\u8bbe\u8ba1<br \/>\n&#8211; \u6a21\u578b\uff1aQwen-7B-Chat\uff0cINT8 \u91cf\u5316\uff0cbatch=1\uff0cinput 512 tokens\uff0coutput 128 tokens<br \/>\n&#8211; \u6846\u67b6\uff1avLLM 0.4.0\uff0c\u5206\u522b\u542f\u7528 CUDA\u3001\u6607\u817e ATC\u3001\u5bd2\u6b66\u7eaa CNML \u540e\u7aef<br \/>\n&#8211; \u6307\u6807\uff1a\u9996 token \u5ef6\u8fdf\uff08FTL\uff09\u3001\u5355 token \u5ef6\u8fdf\uff08TPOT\uff09\u3001\u603b\u541e\u5410\uff08tokens\/s\uff09<br \/>\n&#8211; \u6bcf\u79cd\u5361\u8dd1 100 \u7ec4\u8bf7\u6c42\uff0c\u53d6 P95 \u503c<\/p>\n<table>\n<thead>\n<tr>\n<th>\u5361\u578b<\/th>\n<th>FTL (ms)<\/th>\n<th>TPOT (ms)<\/th>\n<th>\u541e\u5410 (tokens\/s)<\/th>\n<th>\u5c0f\u65f6\u6210\u672c (\u5143)<\/th>\n<th>\u6bcf 1k tokens \u6210\u672c (\u5206)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>A100<\/td>\n<td>120<\/td>\n<td>8.1<\/td>\n<td>123<\/td>\n<td>8.8<\/td>\n<td>0.72<\/td>\n<\/tr>\n<tr>\n<td>4090<\/td>\n<td>145<\/td>\n<td>9.9<\/td>\n<td>101<\/td>\n<td>2.2<\/td>\n<td>0.22<\/td>\n<\/tr>\n<tr>\n<td>\u6607\u817e 910B<\/td>\n<td>130<\/td>\n<td>8.7<\/td>\n<td>115<\/td>\n<td>5.0<\/td>\n<td>0.43<\/td>\n<\/tr>\n<tr>\n<td>\u5bd2\u6b66\u7eaa 370-X8<\/td>\n<td>135<\/td>\n<td>8.9<\/td>\n<td>112<\/td>\n<td>4.2<\/td>\n<td>0.38<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>\u7ed3\u8bba<\/strong><br \/>\n1. \u56fd\u4ea7\u5361 P95 \u5ef6\u8fdf\u4ec5\u6bd4 A100 \u9ad8 8%\uff0c\u4f46<strong>\u79df\u7528\u6210\u672c\u4e0b\u964d 40% \u4ee5\u4e0a<\/strong>\uff1b<br \/>\n2. \u5bd2\u6b66\u7eaa 370-X8 \u5728 48 GB \u663e\u5b58\u52a0\u6301\u4e0b\uff0c<strong>\u53ef\u540c\u65f6\u8dd1 4 \u8def 7B \u5b9e\u4f8b<\/strong>\uff0c\u8fb9\u9645\u6210\u672c\u6700\u4f4e\uff1b<br \/>\n3. \u6607\u817e 910B \u7684 HCCL \u901a\u4fe1\u5e93\u5728\u591a\u5361\u5e76\u884c\u573a\u666f\u4e0b\u5e26\u5bbd\u5229\u7528\u7387 92%\uff0c<strong>\u903c\u8fd1 NVLink \u6c34\u5e73<\/strong>\u3002<\/p>\n<hr \/>\n<h2>4. \u8c03\u5ea6\uff1aKubernetes \u591a\u67b6\u6784\u6df7\u90e8\uff0c\u81ea\u52a8\u62e9\u4f18\u5206\u914d<\/h2>\n<p>\u661f\u5b87\u667a\u7b97\u628a\u56db\u79cd\u67b6\u6784\u7684\u9a71\u52a8\u5c01\u88c5\u6210\u7edf\u4e00 <strong>Device-Plugin<\/strong>\uff0c\u5e76\u6269\u5c55\u4e86 Scheduler Extender\u3002\u7528\u6237\u53ea\u8981\u5728 Pod \u6ce8\u89e3\u91cc\u5199\uff1a<\/p>\n<pre><code class=\"language-yaml\">starverse.ai\/accelerator: &quot;auto&quot;\n<\/code><\/pre>\n<p>\u8c03\u5ea6\u5668\u4f1a\u5b9e\u65f6\u6bd4\u5bf9\u4e09\u5f20\u724c\u7684\u201c\u6027\u80fd\/\u4ef7\u683c\u201d\u6bd4\u503c\uff0c<strong>\u81ea\u52a8\u628a\u4efb\u52a1\u585e\u8fdb\u5f53\u524d\u6700\u4f18\u7684\u5361<\/strong>\u3002<br \/>\n\u82e5\u8fd0\u884c\u4e2d\u8282\u70b9\u8d85\u8f7d\uff0c\u5e73\u53f0\u8fd8\u80fd\u501f\u52a9 <strong>vGPU \u5207\u7247 + \u51b7\u70ed\u8fc1\u79fb<\/strong>\uff0c\u628a\u5bb9\u5668\u65e0\u635f\u6f02\u79fb\u5230\u540c\u67b6\u6784\u7a7a\u95f2\u5361\uff0c<strong>\u4e1a\u52a1\u4e2d\u65ad\u65f6\u95f4 &lt; 3 \u79d2<\/strong>\u3002<br \/>\n\u8fd9\u610f\u5473\u7740\uff0c\u5f00\u53d1\u8005\u518d\u4e5f\u4e0d\u7528\u51cc\u6668\u4e24\u70b9\u722c\u8d77\u6765\u624b\u52a8\u6539 YAML\uff0c<strong>\u771f\u6b63\u5b9e\u73b0\u4e86\u201c\u4e91\u4e0a\u4eba\u7761\u89c9\uff0c\u6a21\u578b\u81ea\u5df1\u627e\u5361\u201d<\/strong>\u3002<\/p>\n<hr \/>\n<h2>5. \u610f\u4e49\uff1a\u786c\u4ef6\u9501\u5b9a\u98ce\u9669\u5f52\u96f6\uff0c\u5168\u56fd\u4ea7\u65b9\u6848\u843d\u5730<\/h2>\n<p>\u8fc7\u53bb\uff0c\u56fd\u4ea7\u5361\u5e38\u88ab\u8bdf\u75c5\u201c\u751f\u6001\u65ad\u5c42\u201d\uff1a<br \/>\n&#8211; CUDA \u4ee3\u7801\u8fc1\u79fb\u5230 CANN\uff0c\u8981\u91cd\u5199\u7b97\u5b50\uff1b<br \/>\n&#8211; PyTorch 1.x \u6a21\u578b\u4e0a\u5230\u5bd2\u6b66\u7eaa\uff0c\u5f97\u5148\u8f6c MLU-IR\u3002  <\/p>\n<p>\u661f\u5b87\u667a\u7b97\u628a\u8fc1\u79fb\u5de5\u4f5c\u4e00\u6b21\u6027\u505a\u6210\u201c\u7cfb\u7edf\u5c42\u9ed1\u7bb1\u201d\uff1a<br \/>\n1. \u5185\u7f6e<a href=\"https:\/\/www.starverse-ai.com\/node\/019b88ac-286a-70a3-bafa-cfa47c851b4d\">\u6a21\u578b\u4e0e\u6570\u636e\u96c6<\/a>\u8d44\u6e90\u6c60\uff0cQwen\u3001Baichuan\u3001ChatGLM \u5df2\u63d0\u524d\u8f6c\u597d\u683c\u5f0f\uff1b<br \/>\n2. \u63d0\u4f9b<a href=\"https:\/\/www.starverse-ai.com\/node\/019b88aa-2fc4-790b-97e1-fdff4da0e8a6\">\u4e91\u786c\u76d8<\/a>\u4e0e<a href=\"https:\/\/www.starverse-ai.com\/node\/019b88ac-0730-7451-a8ab-9c3c873fef42\">\u4e91\u5b58\u50a8<\/a>\u8de8\u5b9e\u4f8b\u5171\u4eab\uff0c\u8bad\u7ec3\u7ed3\u679c\u5b9e\u65f6\u843d\u76d8\uff0c\u65ad\u70b9\u7eed\u8bad\u96f6\u4e22\u5931\uff1b<br \/>\n3. \u652f\u6301\u6309\u9700\/\u5305\u6708\/\u7ade\u4ef7\u4e09\u79cd\u8ba1\u8d39\uff0c<strong>GPU\u4e91\u4e3b\u673a\u6700\u4f4e 1.8 \u5143\/\u65f6\u8d77<\/strong>\uff0c\u521d\u521b\u56e2\u961f\u4e5f\u80fd\u201c\u65e5\u629b\u201d\u5f0f\u8bd5\u9519\u3002<\/p>\n<p>\u5f53\u4f9b\u5e94\u94fe\u4e0d\u786e\u5b9a\u6027\u6210\u4e3a\u5e38\u6001\uff0c<strong>\u201c\u591a\u67b6\u6784\u6df7\u90e8\u201d\u4e0d\u518d\u662f\u6280\u672f\u70ab\u6280\uff0c\u800c\u662f\u5546\u4e1a\u5fc5\u9700<\/strong>\u3002\u661f\u5b87\u667a\u7b97\u7684\u5b9e\u8df5\u8868\u660e\uff1a<br \/>\n&#8211; \u56fd\u4ea7\u5361\u5df2\u80fd\u627f\u63a5 7B~13B \u7ea7\u522b\u751f\u6210\u5f0f AI \u63a8\u7406\uff0c<strong>\u6027\u80fd\u635f\u5931 &lt;10%<\/strong>\uff1b<br \/>\n&#8211; 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