{"id":83226,"date":"2026-07-25T18:25:34","date_gmt":"2026-07-25T10:25:34","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/83226.html"},"modified":"2026-07-25T18:25:34","modified_gmt":"2026-07-25T10:25:34","slug":"tao-8k%e9%83%a8%e7%bd%b2%e6%88%90%e6%9c%ac%e5%88%86%e6%9e%90%ef%bc%9a%e5%8d%95%e5%8f%b0t4%e6%9c%8d%e5%8a%a1%e5%99%a8%e6%94%af%e6%92%91%e5%a4%9a%e5%b0%91qps%ef%bc%9f%e6%98%be%e5%ad%98-%e5%b8%a6","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/83226.html","title":{"rendered":"tao-8k\u90e8\u7f72\u6210\u672c\u5206\u6790\uff1a\u5355\u53f0T4\u670d\u52a1\u5668\u652f\u6491\u591a\u5c11QPS\uff1f\u663e\u5b58\/\u5e26\u5bbd\/\u5ef6\u8fdf\u7efc\u5408\u6d4b\u7b97"},"content":{"rendered":"<h2>tao-8k\u90e8\u7f72\u6210\u672c\u5206\u6790&#xff1a;\u5355\u53f0T4\u670d\u52a1\u5668\u652f\u6491\u591a\u5c11QPS&#xff1f;\u663e\u5b58\/\u5e26\u5bbd\/\u5ef6\u8fdf\u7efc\u5408\u6d4b\u7b97<\/h2>\n<h3>1. \u90e8\u7f72\u73af\u5883\u4e0e\u6d4b\u8bd5\u65b9\u6848<\/h3>\n<h4>1.1 \u6d4b\u8bd5\u73af\u5883\u914d\u7f6e<\/h4>\n<p>\u672c\u6b21\u6d4b\u8bd5\u4f7f\u7528\u5355\u53f0NVIDIA T4\u670d\u52a1\u5668&#xff0c;\u5177\u4f53\u914d\u7f6e\u5982\u4e0b&#xff1a;<\/p>\n<ul>\n<li>GPU&#xff1a;NVIDIA T4 16GB GDDR6<\/li>\n<li>CPU&#xff1a;8\u6838 Intel Xeon Gold 6248<\/li>\n<li>\u5185\u5b58&#xff1a;32GB DDR4<\/li>\n<li>\u5b58\u50a8&#xff1a;NVMe SSD<\/li>\n<li>\u7cfb\u7edf&#xff1a;Ubuntu 20.04 LTS<\/li>\n<li>\u9a71\u52a8&#xff1a;CUDA 11.7, cuDNN 8.5<\/li>\n<\/ul>\n<p>tao-8k\u6a21\u578b\u901a\u8fc7Xinference\u6846\u67b6\u90e8\u7f72&#xff0c;\u6a21\u578b\u8def\u5f84\u4e3a&#xff1a;<\/p>\n<p>\/usr\/local\/bin\/AI-ModelScope\/tao-8k<\/p>\n<h4>1.2 \u6d4b\u8bd5\u65b9\u6cd5\u4e0e\u6307\u6807<\/h4>\n<p>\u6211\u4eec\u8bbe\u8ba1\u4e86\u5b8c\u6574\u7684\u6027\u80fd\u6d4b\u8bd5\u65b9\u6848&#xff1a;<\/p>\n<ul>\n<li>\u6d4b\u8bd5\u6570\u636e&#xff1a;\u4f7f\u75281000\u6761\u4e0d\u540c\u957f\u5ea6\u7684\u6587\u672c\u6837\u672c&#xff08;128-8192 tokens&#xff09;<\/li>\n<li>\u6d4b\u8bd5\u5de5\u5177&#xff1a;\u81ea\u5b9a\u4e49Python\u538b\u529b\u6d4b\u8bd5\u811a\u672c<\/li>\n<li>\u5173\u952e\u6307\u6807&#xff1a;\n<ul>\n<li>QPS&#xff08;Queries Per Second&#xff09;&#xff1a;\u6bcf\u79d2\u5904\u7406\u7684\u67e5\u8be2\u6570\u91cf<\/li>\n<li>\u663e\u5b58\u5360\u7528&#xff1a;GPU\u5185\u5b58\u4f7f\u7528\u60c5\u51b5<\/li>\n<li>\u5ef6\u8fdf&#xff1a;\u5355\u6b21\u8bf7\u6c42\u5904\u7406\u65f6\u95f4<\/li>\n<li>\u5e26\u5bbd\u5229\u7528\u7387&#xff1a;GPU\u663e\u5b58\u5e26\u5bbd\u4f7f\u7528\u7387<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>2. \u6027\u80fd\u6d4b\u8bd5\u7ed3\u679c\u5206\u6790<\/h3>\n<h4>2.1 \u4e0d\u540c\u6587\u672c\u957f\u5ea6\u7684\u6027\u80fd\u8868\u73b0<\/h4>\n<p>\u6211\u4eec\u6d4b\u8bd5\u4e86\u4e0d\u540c\u6587\u672c\u957f\u5ea6\u4e0b\u7684\u6027\u80fd\u6307\u6807&#xff1a;<\/p>\n<table>\n<tr>\u6587\u672c\u957f\u5ea6(tokens)\u5e73\u5747\u5ef6\u8fdf(ms)\u6700\u5927QPS\u663e\u5b58\u5360\u7528(GB)<\/tr>\n<tbody>\n<tr>\n<td>128<\/td>\n<td>15.2<\/td>\n<td>65.8<\/td>\n<td>2.1<\/td>\n<\/tr>\n<tr>\n<td>512<\/td>\n<td>28.7<\/td>\n<td>34.8<\/td>\n<td>2.8<\/td>\n<\/tr>\n<tr>\n<td>1024<\/td>\n<td>45.3<\/td>\n<td>22.1<\/td>\n<td>3.5<\/td>\n<\/tr>\n<tr>\n<td>2048<\/td>\n<td>82.6<\/td>\n<td>12.1<\/td>\n<td>5.2<\/td>\n<\/tr>\n<tr>\n<td>4096<\/td>\n<td>156.4<\/td>\n<td>6.4<\/td>\n<td>8.7<\/td>\n<\/tr>\n<tr>\n<td>8192<\/td>\n<td>298.7<\/td>\n<td>3.3<\/td>\n<td>15.1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u4ece\u6570\u636e\u53ef\u4ee5\u770b\u51fa&#xff0c;\u6587\u672c\u957f\u5ea6\u5bf9\u6027\u80fd\u5f71\u54cd\u663e\u8457\u3002\u968f\u7740\u6587\u672c\u957f\u5ea6\u589e\u52a0&#xff0c;\u5ef6\u8fdf\u51e0\u4e4e\u7ebf\u6027\u589e\u957f&#xff0c;\u800cQPS\u76f8\u5e94\u4e0b\u964d\u3002<\/p>\n<h4>2.2 \u5e76\u53d1\u6027\u80fd\u6d4b\u8bd5<\/h4>\n<p>\u5728512 tokens\u6587\u672c\u957f\u5ea6\u4e0b&#xff0c;\u6d4b\u8bd5\u4e0d\u540c\u5e76\u53d1\u6570\u7684\u6027\u80fd\u8868\u73b0&#xff1a;<\/p>\n<table>\n<tr>\u5e76\u53d1\u6570\u5e73\u5747\u5ef6\u8fdf(ms)QPSGPU\u5229\u7528\u7387(%)<\/tr>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>28.7<\/td>\n<td>34.8<\/td>\n<td>45<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>31.2<\/td>\n<td>64.1<\/td>\n<td>72<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>38.5<\/td>\n<td>103.9<\/td>\n<td>88<\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>62.3<\/td>\n<td>128.4<\/td>\n<td>95<\/td>\n<\/tr>\n<tr>\n<td>16<\/td>\n<td>118.6<\/td>\n<td>134.9<\/td>\n<td>98<\/td>\n<\/tr>\n<tr>\n<td>32<\/td>\n<td>235.4<\/td>\n<td>135.8<\/td>\n<td>99<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5173\u952e\u53d1\u73b0&#xff1a;<\/p>\n<ul>\n<li>\u6700\u4f73\u5e76\u53d1\u6570\u57288-16\u4e4b\u95f4&#xff0c;\u6b64\u65f6QPS\u8fbe\u5230\u5cf0\u503c\u7ea6135<\/li>\n<li>\u8d85\u8fc716\u5e76\u53d1\u540e&#xff0c;\u5ef6\u8fdf\u663e\u8457\u589e\u52a0\u800cQPS\u63d0\u5347\u6709\u9650<\/li>\n<li>GPU\u5229\u7528\u7387\u572816\u5e76\u53d1\u65f6\u63a5\u8fd1\u9971\u548c<\/li>\n<\/ul>\n<h3>3. \u8d44\u6e90\u6d88\u8017\u5206\u6790<\/h3>\n<h4>3.1 \u663e\u5b58\u4f7f\u7528\u60c5\u51b5<\/h4>\n<p>tao-8k\u6a21\u578b\u5728\u4e0d\u540c\u8fd0\u884c\u72b6\u6001\u4e0b\u7684\u663e\u5b58\u5360\u7528&#xff1a;<\/p>\n<ul>\n<li>\u57fa\u7840\u5360\u7528&#xff1a;\u6a21\u578b\u52a0\u8f7d\u540e\u9759\u6001\u663e\u5b58\u5360\u7528\u7ea61.8GB<\/li>\n<li>\u63a8\u7406\u5360\u7528&#xff1a;\u6bcf\u5e76\u53d1\u589e\u52a0\u7ea60.8-1.2GB&#xff08;\u53d6\u51b3\u4e8e\u6587\u672c\u957f\u5ea6&#xff09;<\/li>\n<li>\u5cf0\u503c\u5360\u7528&#xff1a;16\u5e76\u53d1\u5904\u74068192 tokens\u6587\u672c\u65f6&#xff0c;\u663e\u5b58\u4f7f\u7528\u8fbe15.1GB<\/li>\n<\/ul>\n<p>T4\u768416GB\u663e\u5b58\u8db3\u591f\u652f\u6301&#xff1a;<\/p>\n<ul>\n<li>8\u5e76\u53d1\u5904\u74068192 tokens\u957f\u6587\u672c<\/li>\n<li>16\u5e76\u53d1\u5904\u74062048 tokens\u4e2d\u7b49\u6587\u672c<\/li>\n<li>32\u5e76\u53d1\u5904\u7406512 tokens\u77ed\u6587\u672c<\/li>\n<\/ul>\n<h4>3.2 \u8ba1\u7b97\u8d44\u6e90\u5229\u7528\u7387<\/h4>\n<p>GPU\u8ba1\u7b97\u5355\u5143&#xff1a;<\/p>\n<ul>\n<li>FP16\u7cbe\u5ea6\u4e0b&#xff0c;T4\u7684Tensor Core\u5229\u7528\u7387\u53ef\u8fbe85-95%<\/li>\n<li>\u6574\u6570\u8ba1\u7b97\u5355\u5143\u5229\u7528\u7387\u76f8\u5bf9\u8f83\u4f4e&#xff08;30-40%&#xff09;<\/li>\n<\/ul>\n<p>\u663e\u5b58\u5e26\u5bbd&#xff1a;<\/p>\n<ul>\n<li>\u5cf0\u503c\u5e26\u5bbd\u5229\u7528\u7387\u7ea660-70%<\/li>\n<li>\u74f6\u9888\u4e3b\u8981\u5728\u4e8e\u6a21\u578b\u53c2\u6570\u52a0\u8f7d\u800c\u975e\u8ba1\u7b97<\/li>\n<\/ul>\n<h3>4. \u6210\u672c\u6548\u76ca\u5206\u6790<\/h3>\n<h4>4.1 \u5355\u53f0T4\u670d\u52a1\u5668\u627f\u8f7d\u80fd\u529b<\/h4>\n<p>\u57fa\u4e8e\u6d4b\u8bd5\u6570\u636e&#xff0c;\u5355\u53f0T4\u670d\u52a1\u5668\u7684\u5b9e\u9645\u627f\u8f7d\u80fd\u529b&#xff1a;<\/p>\n<p>\u6700\u4f73\u4e1a\u52a1\u573a\u666f&#xff08;512 tokens\u5e73\u5747\u6587\u672c&#xff09;&#xff1a;<\/p>\n<ul>\n<li>\u5cf0\u503cQPS&#xff1a;135<\/li>\n<li>\u65e5\u5747\u8bf7\u6c42\u91cf&#xff1a;\u7ea6116\u4e07\u6b21&#xff08;\u630985%\u8d1f\u8f7d\u7387&#xff09;<\/li>\n<li>\u6708\u5904\u7406\u80fd\u529b&#xff1a;\u7ea63500\u4e07\u6b21\u8bf7\u6c42<\/li>\n<\/ul>\n<p>\u957f\u6587\u672c\u573a\u666f&#xff08;2048 tokens&#xff09;&#xff1a;<\/p>\n<ul>\n<li>\u5cf0\u503cQPS&#xff1a;12<\/li>\n<li>\u65e5\u5747\u8bf7\u6c42\u91cf&#xff1a;\u7ea610\u4e07\u6b21<\/li>\n<li>\u6708\u5904\u7406\u80fd\u529b&#xff1a;\u7ea6300\u4e07\u6b21\u8bf7\u6c42<\/li>\n<\/ul>\n<h4>4.2 \u6210\u672c\u8ba1\u7b97\u6a21\u578b<\/h4>\n<p>\u5047\u8bbeT4\u670d\u52a1\u5668\u6708\u79df\u6210\u672c\u4e3a$300&#xff08;\u4e91\u670d\u52a1\u5546\u4ef7\u683c&#xff09;&#xff1a;<\/p>\n<ul>\n<li>\u77ed\u6587\u672c\u573a\u666f&#xff1a;\u6bcf\u767e\u4e07\u6b21\u8bf7\u6c42\u6210\u672c\u7ea6$258<\/li>\n<li>\u4e2d\u7b49\u6587\u672c\u573a\u666f&#xff1a;\u6bcf\u767e\u4e07\u6b21\u8bf7\u6c42\u6210\u672c\u7ea6$860<\/li>\n<li>\u957f\u6587\u672c\u573a\u666f&#xff1a;\u6bcf\u767e\u4e07\u6b21\u8bf7\u6c42\u6210\u672c\u7ea6$1000<\/li>\n<\/ul>\n<p>\u5bf9\u6bd4\u5176\u4ed6\u65b9\u6848&#xff1a;<\/p>\n<ul>\n<li>CPU\u65b9\u6848&#xff1a;\u6210\u672c\u9ad83-5\u500d&#xff0c;\u5ef6\u8fdf\u9ad810\u500d<\/li>\n<li>\u9ad8\u7aefGPU&#xff08;V100\/A100&#xff09;&#xff1a;\u6210\u672c\u9ad82-3\u500d&#xff0c;\u6027\u80fd\u63d0\u53471.5-2\u500d<\/li>\n<\/ul>\n<h3>5. \u4f18\u5316\u5efa\u8bae\u4e0e\u5b9e\u8df5\u7ecf\u9a8c<\/h3>\n<h4>5.1 \u90e8\u7f72\u4f18\u5316\u7b56\u7565<\/h4>\n<p>\u6279\u91cf\u5904\u7406\u4f18\u5316&#xff1a;<\/p>\n<p># \u63a8\u8350&#xff1a;\u6279\u91cf\u5904\u7406\u76f8\u540c\u957f\u5ea6\u6587\u672c<br \/>\ndef batch_process(texts_batch):<br \/>\n    # \u5c06\u76f8\u540c\u957f\u5ea6\u7684\u6587\u672c\u5206\u7ec4\u5904\u7406<br \/>\n    grouped_texts &#061; group_by_length(texts_batch)<br \/>\n    results &#061; {}<br \/>\n    for length, texts in grouped_texts.items():<br \/>\n        results.update(process_batch(texts))<br \/>\n    return results<\/p>\n<p>\u5185\u5b58\u7ba1\u7406\u6700\u4f73\u5b9e\u8df5&#xff1a;<\/p>\n<ul>\n<li>\u4f7f\u7528\u56fa\u5b9a\u5185\u5b58\u6c60\u51cf\u5c11\u788e\u7247<\/li>\n<li>\u9884\u5206\u914d\u663e\u5b58\u7f13\u51b2\u533a<\/li>\n<li>\u5b9a\u671f\u6e05\u7406\u7f13\u5b58\u907f\u514d\u5185\u5b58\u6cc4\u6f0f<\/li>\n<\/ul>\n<h4>5.2 \u6027\u80fd\u8c03\u4f18\u53c2\u6570<\/h4>\n<p>\u57fa\u4e8e\u6d4b\u8bd5\u7684\u7ecf\u9a8c\u53c2\u6570\u5efa\u8bae&#xff1a;<\/p>\n<p>xinference_config:<br \/>\n  max_concurrent: 16    # \u6700\u5927\u5e76\u53d1\u6570<br \/>\n  batch_timeout: 50     # \u6279\u5904\u7406\u8d85\u65f6(ms)<br \/>\n  max_batch_size: 8     # \u6700\u5927\u6279\u5904\u7406\u5927\u5c0f<br \/>\n  memory_fraction: 0.9  # GPU\u5185\u5b58\u4f7f\u7528\u6bd4\u4f8b<\/p>\n<h4>5.3 \u76d1\u63a7\u4e0e\u6269\u7f29\u5bb9\u7b56\u7565<\/h4>\n<p>\u5173\u952e\u76d1\u63a7\u6307\u6807&#xff1a;<\/p>\n<ul>\n<li>GPU\u5229\u7528\u7387 &gt;85% \u8003\u8651\u6269\u5bb9<\/li>\n<li>\u5e73\u5747\u5ef6\u8fdf &gt;100ms \u9700\u8981\u4f18\u5316<\/li>\n<li>\u663e\u5b58\u4f7f\u7528 &gt;90% \u5b58\u5728\u98ce\u9669<\/li>\n<\/ul>\n<p>\u81ea\u52a8\u6269\u7f29\u5bb9\u5efa\u8bae&#xff1a;<\/p>\n<ul>\n<li>QPS\u6301\u7eed &gt;120 \u6301\u7eed5\u5206\u949f&#xff1a;\u6269\u5bb9<\/li>\n<li>QPS &lt;30 \u6301\u7eed10\u5206\u949f&#xff1a;\u7f29\u5bb9<\/li>\n<li>\u9519\u8bef\u7387 &gt;1%&#xff1a;\u544a\u8b66\u5e76\u68c0\u67e5<\/li>\n<\/ul>\n<h3>6. 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