{"id":34918,"date":"2026-08-07T14:19:41","date_gmt":"2026-08-07T06:19:41","guid":{"rendered":"https:\/\/www.varidata.com\/?p=34918"},"modified":"2026-08-07T14:22:46","modified_gmt":"2026-08-07T06:22:46","slug":"how-to-optimize-batch-size-for-ai-inference-servers","status":"publish","type":"post","link":"https:\/\/www.varidata.com\/zh-cn\/blog\/how-to-optimize-batch-size-for-ai-inference-servers\/","title":{"rendered":"\u5982\u4f55\u4e3aAI\u63a8\u7406\u670d\u52a1\u5668\u4f18\u5316\u6279\u91cf\u5927\u5c0f"},"content":{"rendered":"<p>\u60a8\u5fc5\u987b\u5728AI\u63a8\u7406\u670d\u52a1\u5668\u4e0a\u4f18\u5316\u6279\u91cf\u5927\u5c0f\uff0c\u4ee5\u6700\u5927\u5316<a href=\"https:\/\/www.varidata.com\/zh-cn\/knowledge\/tpu-vs-gpu-deep-learning-hardware-battle\/\" target=\"_blank\">GPU\u8ba1\u7b97\u80fd\u529b<\/a>\uff0c\u540c\u65f6\u4e25\u683c\u6ee1\u8db3\u5ef6\u8fdf\u9608\u503c\u548cVRAM\u8fb9\u754c\u3002\u5b9e\u65f6\u670d\u52a1\u9700\u8981\u8f83\u5c0f\u7684\u8bf7\u6c42\u6279\u91cf\u5927\u5c0f\uff081\u52308\u4e4b\u95f4\uff09\uff0c\u4ee5\u6700\u5c0f\u5316\u4ea4\u4e92\u5f0f\u7528\u6237\u5e94\u7528\u7684\u9996\u4ee4\u724c\u5ef6\u8fdf\u3002\u76f8\u53cd\uff0c\u9ad8\u541e\u5410\u91cf\u79bb\u7ebf\u5904\u7406\u5219\u4f7f\u7528\u8f83\u5927\u7684\u5de5\u4f5c\u8d1f\u8f7d\u6279\u91cf\u5927\u5c0f\u6765\u9971\u548c\u5185\u5b58\u5e26\u5bbd\u3002\u6269\u5c55\u786c\u4ef6\u6267\u884c\u7ec4\u53ef\u5728\u6279\u91cf\u63a8\u7406\u671f\u95f4\u63d0\u9ad8\u603b\u4f53\u8f93\u51fa\u901f\u7387\uff0c\u4f46\u66f4\u91cd\u7684\u8ba1\u7b97\u8d1f\u8f7d\u4f1a\u5ef6\u8fdf\u5355\u4e2a\u8bf7\u6c42\u7684\u5b8c\u6210\u65f6\u95f4\u3002\u6bcf\u4e2a\u751f\u4ea7\u7ea7\u6279\u91cf<a href=\"https:\/\/www.varidata.com\/zh-cn\/server\/tokyo\/\" 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3.1-8B\uff09\u3002\u52a8\u6001\u6279\u5904\u7406\u6280\u672f\u901a\u8fc7\u4fdd\u6301\u786c\u4ef6\u9ad8\u5229\u7528\u7387\u5e76\u652f\u6301\u5e76\u884c\u8bf7\u6c42\u95f4\u7684\u5171\u4eab\u6267\u884c\uff0c\u53ef\u964d\u4f4e\u6bcf\u4ee4\u724c\u80fd\u8017\u3002<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 75px\">\n<colgroup>\n<col style=\"min-width: 25px\">\n<col style=\"min-width: 25px\">\n<col style=\"min-width: 25px\"><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u6279\u91cf\u5927\u5c0f\u89c4\u6a21<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u4ee4\u724c\u751f\u6210\u901f\u5ea6\uff08\u541e\u5410\u91cf\uff09<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u5185\u5b58\u9700\u6c42\u4e0e\u8d44\u6e90\u6743\u8861<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5c0f\u6279\u91cf<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u56e0\u786c\u4ef6\u5229\u7528\u7387\u6b21\u4f18\uff0c\u6bcf\u79d2\u4ee4\u724c\u6570\u8f83\u4f4e<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5185\u5b58\u5360\u7528\u4f4e\uff1b\u6613\u4e8e\u5bb9\u7eb3\u4e0a\u4e0b\u6587\u957f\u5ea6\u548c\u6a21\u578b\u5f00\u9500<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5927\u6279\u91cf<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u901a\u8fc7\u66f4\u597d\u7684\u5f00\u9500\u5206\u644a\uff0c\u6bcf\u79d2\u4ee4\u724c\u6570\u66f4\u5feb<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5185\u5b58\u9700\u6c42\u9ad8\uff1b\u76f4\u63a5\u4e0e\u4e0a\u4e0b\u6587\u957f\u5ea6\u548c\u6a21\u578b\u5927\u5c0f\u7ade\u4e89<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u80fd\u8017\u6a21\u5f0f\u51b3\u5b9a\u4e86\u60a8\u5982\u4f55\u7ba1\u7406\u63a8\u7406\u6d41\u6c34\u7ebf\u3002\u80fd\u6548\u964d\u4f4e\u4f1a\u968f\u65f6\u95f4\u589e\u52a0\u603b\u8fd0\u8425\u6210\u672c\u3002\u7ba1\u7406\u6574\u4f53\u80fd\u8017\u53ef\u5728\u957f\u65f6\u95f4\u8fd0\u884c\u4e2d\u4fdd\u62a4\u786c\u4ef6\u7a33\u5b9a\u6027\u3002\u9009\u62e9\u9519\u8bef\u7684\u5de5\u4f5c\u8d1f\u8f7d\u6279\u91cf\u5927\u5c0f\u4f1a\u964d\u4f4eGPU\u6027\u80fd\u5e76\u6d6a\u8d39\u5b9d\u8d35\u7535\u529b\u3002\u901a\u8fc7\u4e3a\u60a8\u7684\u76ee\u6807\u5de5\u4f5c\u8d1f\u8f7d\u9009\u62e9\u6070\u5f53\u7684\u64cd\u4f5c\u8bbe\u7f6e\uff0c\u60a8\u53ef\u4ee5\u63d0\u9ad8\u6574\u4f53\u80fd\u6548\u3002<\/p>\n<h3>\u4f7f\u7528\u5173\u952e\u8fd0\u884c\u65f6\u6807\u5fd7\u5bf9\u670d\u52a1\u5f15\u64ce\u8fdb\u884c\u6027\u80fd\u5256\u6790<\/h3>\n<p>\u63a8\u7406\u5f15\u64ce\u516c\u5f00\u6267\u884c\u53c2\u6570\u4ee5\u7b80\u5316\u64cd\u4f5c\u6267\u884c\u6548\u7387\u3002\u9075\u5faa\u6700\u4f73\u5b9e\u8df5\u53ef\u786e\u4fdd\u5728\u6240\u6709\u6d3b\u52a8\u7aef\u70b9\u627f\u53d7\u5927\u91cf\u7528\u6237\u6d41\u91cf\u65f6\u7a33\u5b9a\u6267\u884c\u3002\u60a8\u5fc5\u987b\u5728\u542f\u52a8\u5b9e\u65f6\u670d\u52a1\u4e4b\u524d\uff0c\u76f4\u63a5\u5728\u670d\u52a1\u5668\u90e8\u7f72\u6587\u4ef6\u4e2d\u8c03\u6574\u5f15\u64ce\u53c2\u6570\u3002<\/p>\n<blockquote>\n<p>\u589e\u52a0\u6700\u5927\u5e8f\u5217\u6570\u9650\u5236\uff08<code>max_num_seqs<\/code>\uff09\u53ef\u5c06\u66f4\u591a\u5e76\u53d1\u8bf7\u6c42\u805a\u5408\u5230\u6bcf\u4e2a\u6279\u6b21\u4e2d\uff0c\u4ece\u800c\u9a71\u52a8\u5cf0\u503c\u786c\u4ef6\u6027\u80fd\u4ee5\u5b9e\u73b0\u66f4\u9ad8\u7684\u6bcf\u79d2\u4ee4\u724c\u541e\u5410\u91cf\uff0c\u4f46\u4ee3\u4ef7\u662f\u6f5c\u5728\u5ef6\u8fdf\u6ce2\u52a8\u3002<\/p>\n<\/blockquote>\n<pre><code>python3 -m vllm.entrypoints.openai.api_server \\\r\n  --model meta-llama\/Meta-Llama-3-8B \\\r\n  --max-num-seqs 64 \\\r\n  --gpu-memory-utilization 0.90<\/code><\/pre>\n<p>\u90e8\u7f72\u751f\u4ea7\u5b9e\u4f8b\u9700\u8981\u9075\u5faa\u6700\u4f73\u5b9e\u8df5\uff0c\u4ee5\u5728\u96c6\u7fa4\u4e2d\u7684\u6bcf\u53f0\u8fde\u63a5\u670d\u52a1\u5668\u4e0a\u7ef4\u6301\u6700\u5927\u80fd\u6548\u3002\u8c03\u6574\u6267\u884c\u6807\u5fd7\u53ef\u9632\u6b62\u5728\u9ad8\u5cf0\u6d41\u91cf\u671f\u95f4\u51fa\u73b0\u610f\u5916\u7684\u8d44\u6e90\u4e89\u7528\u3002\u60a8\u7ba1\u7406\u5de5\u4f5c\u8d1f\u8f7d\u6279\u91cf\u5927\u5c0f\u53c2\u6570\u4ee5\u5339\u914d\u5b9e\u9645\u670d\u52a1\u5668\u8ba1\u7b97\u80fd\u529b\u3002\u73b0\u4ee3\u670d\u52a1\u5668\u8f6f\u4ef6\u5e94\u7528\u52a8\u6001\u6280\u672f\u81ea\u52a8\u964d\u4f4e\u80fd\u8017\u3002\u6301\u7eed\u7684\u6027\u80fd\u5256\u6790\u53ef\u5e2e\u52a9\u60a8\u5728\u5c06\u670d\u52a1\u5668\u90e8\u7f72\u5230\u751f\u4ea7\u73af\u5883\u4e4b\u524d\u4f18\u5316\u6279\u91cf\u5927\u5c0f\u3002\u5728\u5b9e\u9645\u6279\u91cf\u63a8\u7406\u6d41\u91cf\u4e0b\u76d1\u63a7\u670d\u52a1\u5668\uff0c\u53ef\u9a8c\u8bc1\u603b\u80fd\u6548\u63d0\u5347\uff0c\u540c\u65f6\u4fdd\u6301\u53ef\u9760\u7684\u6279\u91cf\u63a8\u7406\u7cfb\u7edf\u3002<\/p>\n<h2>\u52a8\u6001\u6279\u5904\u7406\u6280\u672f\u4e0e\u5185\u5b58\u6548\u7387<\/h2>\n<h3>\u8fde\u7eed\u6279\u5904\u7406\u4e0e\u586b\u5145\u5f00\u9500\u964d\u4f4e<\/h3>\n<p>\u6807\u51c6\u9759\u6001\u6279\u5904\u7406\u5f3a\u5236\u7cfb\u7edf\u5c06\u5e8f\u5217\u957f\u5ea6\u586b\u5145\u81f3\u4e0e\u6279\u6b21\u4e2d\u6700\u957f\u63d0\u793a\u5339\u914d\u3002\u8fd9\u79cd\u586b\u5145\u6d6a\u8d39\u6267\u884c\u5468\u671f\u5e76\u5f92\u589e\u80fd\u8017\u3002\u8fde\u7eed\u6279\u5904\u7406\u5728\u6d3b\u52a8\u5e8f\u5217\u5b8c\u6210\u540e\u7acb\u5373\u5c06\u65b0\u67e5\u8be2\u63d2\u5165\u8fd0\u884c\u4e2d\u7684\u6d41\u6c34\u7ebf\u3002\u60a8\u53ef\u4ee5\u5728\u8fed\u4ee3\u8fb9\u754c\u4f18\u5316\u6279\u91cf\u5927\u5c0f\uff0c\u4ee5\u5728\u6bcf\u6b21\u6279\u91cf\u63a8\u7406\u5468\u671f\u4e2d\u63d0\u9ad8\u786c\u4ef6\u5229\u7528\u7387\u3002\u5148\u8fdb\u63a8\u7406\u5f15\u64ce\u5229\u7528\u865a\u62df\u5206\u914d\u7b56\u7565\u6700\u5927\u5316VRAM\u5229\u7528\u7387\uff1a<\/p>\n<ul>\n<li>\n<p>\u57fa\u4e8e\u5757\u7684\u865a\u62df\u5316\uff1a\u501f\u9274\u64cd\u4f5c\u7cfb\u7edf\u865a\u62df\u5185\u5b58\u539f\u7406\uff0c\u5c06\u952e\u503c\uff08KV\uff09\u7f13\u5b58\u5212\u5206\u4e3a\u5c0f\u7684\u3001\u56fa\u5b9a\u5927\u5c0f\u7684\u903b\u8f91\u5757\u548c\u7269\u7406\u5757\uff08\u9875\uff09\u3002<\/p>\n<\/li>\n<li>\n<p>\u6d88\u9664\u8fde\u7eed\u5206\u914d\uff1a\u907f\u514d\u57fa\u4e8e\u6700\u5927\u5e8f\u5217\u957f\u5ea6\u9884\u5206\u914d\u5927\u578b\u8fde\u7eed\u5185\u5b58\u533a\u57df\uff0c\u5141\u8bb8\u5728\u975e\u8fde\u7eed\u7a7a\u95f4\u4e0a\u52a8\u6001\u5206\u914d\u5185\u5b58\u3002<\/p>\n<\/li>\n<li>\n<p>\u901a\u8fc7\u5757\u8868\u52a8\u6001\u6620\u5c04\uff1a\u4f7f\u7528\u4e13\u7528\u5757\u8868\u6309\u9700\u5c06\u903b\u8f91\u5185\u5b58\u5757\u6620\u5c04\u5230\u7269\u7406\u5757\uff0c\u663e\u8457\u51cf\u8f7b\u52a8\u6001\u6279\u5904\u7406\u8fc7\u7a0b\u4e2d\u7684\u5185\u5b58\u6d6a\u8d39\u548c\u5916\u90e8VRAM\u788e\u7247\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u91cf\u5316\u548c\u5f20\u91cf\u5e76\u884c\u53ef\u5e2e\u52a9\u60a8\u5728\u5185\u5b58\u53d7\u9650\u73af\u5883\u4e2d\u90e8\u7f72\u5927\u89c4\u6a21\u8bed\u8a00\u6a21\u578b\u3002\u4f4e\u7cbe\u5ea6\u683c\u5f0f\u7f29\u5c0f\u5185\u5b58\u9700\u6c42\uff0c\u540c\u65f6\u4fdd\u6301\u76ee\u6807\u670d\u52a1\u5668\u4e0a\u7684\u7a33\u5b9a\u541e\u5410\u91cf\u3002\u6d88\u9664\u7a7a\u95f2GPU\u65f6\u949f\u5468\u671f\u53ef\u964d\u4f4e\u6574\u4f53\u80fd\u8017\u5e76\u63d0\u9ad8\u80fd\u6548\u3002<\/p>\n<h3>\u6d41\u91cf\u6574\u5f62\u4e0e\u961f\u5217\u7ba1\u7406<\/h3>\n<p>\u60a8\u7684AI\u670d\u52a1\u5668\u5fc5\u987b\u63a7\u5236\u7528\u6237\u5230\u8fbe\u5cf0\u503c\u4ee5\u4fdd\u62a4\u5ef6\u8fdfSLA\u76ee\u6807\u3002\u8bf7\u6c42\u6279\u5904\u7406\u5c06\u5230\u8fbe\u7684\u67e5\u8be2\u5728\u81ea\u9002\u5e94\u670d\u52a1\u5668\u961f\u5217\u4e2d\u805a\u5408\uff0c\u7136\u540e\u518d\u8c03\u5ea6\u6267\u884c\u6b65\u9aa4\u3002\u4f7f\u5ba2\u6237\u7aef\u8bf7\u6c42\u6279\u91cf\u5927\u5c0f\u4e0e\u53ef\u7528VRAM\u9650\u5236\u5bf9\u9f50\u53ef\u9632\u6b62\u961f\u5217\u7a81\u7136\u6ea2\u51fa\u3002\u60a8\u8c03\u6574\u4e3b\u673a\u5f15\u64ce\u6267\u884c\u8bbe\u7f6e\uff0c\u4ee5\u57fa\u4e8e\u5b9e\u65f6\u6d41\u91cf\u7ef4\u6301\u6700\u4f73\u5de5\u4f5c\u8d1f\u8f7d\u6279\u91cf\u5927\u5c0f\u3002<\/p>\n<p>\u6709\u6548\u7684\u961f\u5217\u7ba1\u7406\u53ef\u5728\u5904\u7406\u5ef6\u8fdf\u4e0e\u8fd0\u8425\u80fd\u6548\u4e4b\u95f4\u53d6\u5f97\u5e73\u8861\u3002\u4e00\u8d77\u5904\u7406\u4f20\u5165\u8f93\u5165\u53ef\u51cf\u5c11\u6bcf\u4e2a\u4ee4\u724c\u7684\u4e0a\u4e0b\u6587\u52a0\u8f7d\u5f00\u9500\uff0c\u4ece\u800c\u964d\u4f4e\u9ad8\u5cf0\u6d41\u91cf\u671f\u95f4\u7684\u5cf0\u503c\u80fd\u8017\u3002\u8fd9\u79cd\u52a8\u6001\u534f\u8c03\u53ef\u5728\u5bc6\u96c6\u6279\u91cf\u63a8\u7406\u64cd\u4f5c\u671f\u95f4\u4fdd\u6301\u603b\u80fd\u8017\u8f83\u4f4e\u3002\u5408\u7406\u7684\u6d41\u91cf\u6574\u5f62\u53ef\u9632\u6b62\u5728\u590d\u6742\u5de5\u4f5c\u8d1f\u8f7d\u6267\u884c\u671f\u95f4\u4e3b\u67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