<script type="application/ld+json">{"@context":"http://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.simcentric.com/sc/home-update-2026/"},{"@type":"ListItem","position":2,"name":"如何解决 OpenClaw 在多 GPU 服务器中的负载不均问题","item":"https://www.simcentric.com/sc/hong-kong-dedicated-server-sc/how-to-solve-uneven-load-on-openclaw-in-multi-gpu-servers/"}]}</script> {"id":33019,"date":"2026-06-29T14:34:39","date_gmt":"2026-06-29T06:34:39","guid":{"rendered":"https:\/\/www.simcentric.com\/uncategorized-sc\/how-to-solve-uneven-load-on-openclaw-in-multi-gpu-servers\/"},"modified":"2026-06-29T14:39:01","modified_gmt":"2026-06-29T06:39:01","slug":"how-to-solve-uneven-load-on-openclaw-in-multi-gpu-servers","status":"publish","type":"post","link":"https:\/\/www.simcentric.com\/sc\/hong-kong-dedicated-server-sc\/how-to-solve-uneven-load-on-openclaw-in-multi-gpu-servers\/","title":{"rendered":"\u5982\u4f55\u89e3\u51b3 OpenClaw \u5728\u591a GPU \u670d\u52a1\u5668\u4e2d\u7684\u8d1f\u8f7d\u4e0d\u5747\u95ee\u9898"},"content":{"rendered":"<p>\u4f60\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u914d\u7f6e\uff0c\u8ba9 OpenClaw \u5728<a href=\"https:\/\/www.simcentric.com\/sc\/products\/dedicated-server-hk\/\" target=\"_blank\" rel=\"noopener\">\u591a GPU \u670d\u52a1\u5668<\/a>\u4e2d\u66f4\u5747\u8861\u5730\u4f7f\u7528\u8d44\u6e90\uff0c\u4ece\u800c\u89e3\u51b3<a href=\"https:\/\/www.simcentric.com\/sc\/japan-dedicated-server-sc\/fix-openclaw-multi-gpu-load-imbalance\/\" target=\"_blank\" rel=\"noopener\">\u8d1f\u8f7d\u4e0d\u5747<\/a>\u7684\u95ee\u9898\u3002\u8d1f\u8f7d\u4e0d\u5747\u4f1a\u62d6\u6162\u6a21\u578b\u8fd0\u884c\u901f\u5ea6\uff0c\u5e76\u5bfc\u81f4\u90e8\u5206 GPU \u95f2\u7f6e\uff0c\u800c\u53e6\u4e00\u4e9b GPU \u8d1f\u8f7d\u8fc7\u9ad8\u3002\u5f53\u4f60\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\u540e\uff0c\u5c31\u80fd\u83b7\u5f97\u66f4\u5feb\u7684\u5904\u7406\u7ed3\u679c\uff0c\u5e76\u66f4\u5145\u5206\u5730\u5229\u7528\u786c\u4ef6\u8d44\u6e90\u3002\u8bf7\u5148\u4ed4\u7ec6\u68c0\u67e5\u4f60\u5f53\u524d\u7684\u90e8\u7f72\u73af\u5883\uff0c\u518d\u7740\u624b\u8fdb\u884c\u914d\u7f6e\u4f18\u5316\uff0c\u4ee5\u63d0\u5347\u670d\u52a1\u5668\u6574\u4f53\u6027\u80fd\u3002<\/p>\n<h2><strong>\u8bca\u65ad\u8d1f\u8f7d\u4e0d\u5747<\/strong><\/h2>\n<h3>OpenClaw \u4e2d\u8d1f\u8f7d\u5931\u8861\u7684\u8868\u73b0<\/h3>\n<p>\u4f60\u53ef\u4ee5\u901a\u8fc7\u89c2\u5bdf\u5404\u5757 GPU \u7684\u8fd0\u884c\u60c5\u51b5\u6765\u5224\u65ad OpenClaw \u662f\u5426\u5b58\u5728\u8d1f\u8f7d\u4e0d\u5747\u3002\u5f53\u4f60\u53d1\u73b0\u67d0\u4e00\u5757 GPU \u7684\u5de5\u4f5c\u8d1f\u8f7d\u660e\u663e\u9ad8\u4e8e\u5176\u4ed6 GPU \u65f6\uff0c\u5c31\u8bf4\u660e\u7cfb\u7edf\u53ef\u80fd\u51fa\u73b0\u4e86\u95ee\u9898\u3002\u4f60\u53ef\u80fd\u4f1a\u6ce8\u610f\u5230\u54cd\u5e94\u65f6\u95f4\u53d8\u6162\uff0c\u6216\u8005\u4efb\u52a1\u6301\u7eed\u5806\u79ef\u5728\u67d0\u4e00\u5757\u8bbe\u5907\u4e0a\u3002\u6709\u65f6\uff0c\u670d\u52a1\u5668\u65e5\u5fd7\u4f1a\u663e\u793a\u67d0\u4e00\u5757 GPU \u5904\u7406\u4e86\u7edd\u5927\u591a\u6570\u8bf7\u6c42\uff0c\u800c\u5176\u4ed6 GPU \u5374\u5904\u4e8e\u7a7a\u95f2\u72b6\u6001\u3002\u4f60\u8fd8\u53ef\u80fd\u53d1\u73b0\u67d0\u5757 GPU \u7684\u663e\u5b58\u5360\u7528\u7a81\u7136\u5347\u9ad8\uff0c\u8fd9\u4f1a\u8fdb\u4e00\u6b65\u5f15\u53d1\u5d29\u6e83\u6216\u62a5\u9519\u3002<\/p>\n<p>\u4ee5\u4e0b\u662f\u4f60\u5e94\u91cd\u70b9\u7559\u610f\u7684\u51e0\u79cd\u8868\u73b0\uff1a<\/p>\n<ul>\n<li>\u67d0\u4e00\u5757 GPU \u6e29\u5ea6\u660e\u663e\u504f\u9ad8\uff0c\u800c\u5176\u4ed6 GPU \u6e29\u5ea6\u8f83\u4f4e\u3002<\/li>\n<li>\u4e0d\u540c GPU \u7684\u4efb\u52a1\u5b8c\u6210\u65f6\u95f4\u5dee\u5f02\u5f88\u5927\u3002<\/li>\n<li>\u67d0\u4e00\u5757\u8bbe\u5907\u7684\u663e\u5b58\u5360\u7528\u8fdc\u9ad8\u4e8e\u5176\u4ed6\u8bbe\u5907\u3002<\/li>\n<li>\u670d\u52a1\u5668\u65e5\u5fd7\u4e2d\u53cd\u590d\u51fa\u73b0\u8d44\u6e90\u8fc7\u8f7d\u76f8\u5173\u8b66\u544a\u3002<\/li>\n<\/ul>\n<h3>\u591a GPU \u73af\u5883\u4e2d\u7684\u5e38\u89c1\u539f\u56e0<\/h3>\n<p>\u5728\u591a GPU \u73af\u5883\u4e2d\uff0c\u8d1f\u8f7d\u4e0d\u5747\u901a\u5e38\u6e90\u4e8e\u914d\u7f6e\u9519\u8bef\u6216\u786c\u4ef6\u9650\u5236\u3002\u6709\u65f6\uff0cOpenClaw \u65e0\u6cd5\u5c06\u4efb\u52a1\u5747\u5300\u5206\u914d\u5230\u6240\u6709 GPU\u3002\u4f60\u53ef\u80fd\u9519\u8bef\u8bbe\u7f6e\u4e86 CUDA \u6838\u5fc3\u6570\uff0c\u6216\u8005\u6ca1\u6709\u5408\u7406\u5206\u914d\u663e\u5b58\u3002\u7f51\u7edc\u5ef6\u8fdf\u4e5f\u53ef\u80fd\u5bfc\u81f4\u67d0\u4e00\u5757 GPU \u88ab\u5206\u914d\u5230\u66f4\u591a\u4efb\u52a1\u3002<\/p>\n<p>\u4e0b\u8868\u5217\u51fa\u4e86\u5e38\u89c1\u539f\u56e0\u53ca\u5176\u5f71\u54cd\uff1a<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 50px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/> <\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\u539f\u56e0<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u5f71\u54cd<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">CUDA \u6838\u5fc3\u5206\u914d\u9519\u8bef<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u67d0\u4e00\u5757 GPU \u627f\u62c5\u4e86\u5927\u90e8\u5206\u4efb\u52a1<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u663e\u5b58\u5206\u914d\u4e0d\u5747<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u67d0\u4e00\u5757 GPU \u51fa\u73b0\u663e\u5b58\u8fc7\u8f7d<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u7f51\u7edc\u5ef6\u8fdf<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u4efb\u52a1\u5206\u53d1\u51fa\u73b0\u5ef6\u540e<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u6a21\u578b\u53c2\u6570\u4e0d\u5339\u914d<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u90e8\u5206 GPU \u5904\u7406\u901f\u5ea6\u8f83\u6162\u7684\u6a21\u578b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u4f60\u5e94\u8be5\u9488\u5bf9\u8fd9\u4e9b\u95ee\u9898\u9010\u9879\u68c0\u67e5\u5f53\u524d\u73af\u5883\u3002\u53ca\u65f6\u4fee\u590d\u540e\uff0c\u53ef\u4ee5\u907f\u514d\u8d1f\u8f7d\u4e0d\u5747\uff0c\u5e76\u8ba9\u670d\u52a1\u5668\u4fdd\u6301\u5e73\u7a33\u8fd0\u884c\u3002<\/p>\n<h2><strong>\u5b9e\u73b0\u8d1f\u8f7d\u5747\u8861\u7684\u914d\u7f6e\u4e0e\u90e8\u7f72\u65b9\u6cd5<\/strong><\/h2>\n<h3>\u8bbe\u7f6e CUDA \u6838\u5fc3\u6570<\/h3>\n<p>\u4f60\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e CUDA \u6838\u5fc3\u6570\u6765\u63a7\u5236 OpenClaw \u5c06\u4efb\u52a1\u5206\u914d\u7ed9\u5404\u5757 GPU \u7684\u65b9\u5f0f\u3002\u8fd9\u4e00\u6b65\u80fd\u5e2e\u52a9\u4f60\u907f\u514d\u4efb\u52a1\u62c6\u5206\u4e0d\u5408\u7406\u7684\u95ee\u9898\uff0c\u56e0\u4e3a\u8fd9\u5f80\u5f80\u4f1a\u5bfc\u81f4\u67d0\u4e00\u5757 GPU \u627f\u62c5\u7edd\u5927\u591a\u6570\u8d1f\u8f7d\u3002\u5f53\u4f60\u660e\u786e\u6307\u5b9a CUDA \u6838\u5fc3\u5206\u914d\u65f6\uff0c\u5c31\u80fd\u786e\u4fdd\u6bcf\u5757 GPU \u90fd\u83b7\u5f97\u76f8\u5bf9\u5747\u8861\u7684\u5de5\u4f5c\u91cf\u3002<\/p>\n<p>\u8bbe\u7f6e CUDA \u6838\u5fc3\u6570\u65f6\uff0c\u8bf7\u6309\u7167\u4ee5\u4e0b\u6b65\u9aa4\u64cd\u4f5c\uff1a<\/p>\n<ol>\n<li>\u4f7f\u7528 <code>nvidia-smi<\/code> \u67e5\u770b\u670d\u52a1\u5668\u4e2d\u7684 GPU \u6570\u91cf\u3002<\/li>\n<li>\u6253\u5f00\u4f60\u7684 OpenClaw \u914d\u7f6e\u6587\u4ef6\u3002<\/li>\n<li>\u5c06\u6bcf\u4e2a\u6a21\u578b\u6216\u4efb\u52a1\u5206\u914d\u7ed9\u6307\u5b9a\u7684 CUDA \u8bbe\u5907\u3002<br \/>\n\u4f8b\u5982\uff1a<\/p>\n<pre><code>models:\r\n  - name: model_A\r\n    device: cuda:0\r\n  - name: model_B\r\n    device: cuda:1<\/code><\/pre>\n<\/li>\n<li>\u4fdd\u5b58\u914d\u7f6e\u5e76\u91cd\u542f OpenClaw\u3002<\/li>\n<\/ol>\n<h3>\u8c03\u6574\u663e\u5b58\u8bbe\u7f6e<\/h3>\n<p>\u663e\u5b58\uff08VRAM\uff09\u5bf9 GPU \u5904\u7406\u4efb\u52a1\u7684\u80fd\u529b\u5f71\u54cd\u5f88\u5927\u3002\u5982\u679c\u67d0\u4e00\u5757 GPU \u663e\u5b58\u8017\u5c3d\uff0c\u5b83\u53ef\u80fd\u4f1a\u51fa\u73b0\u901f\u5ea6\u4e0b\u964d\uff0c\u751a\u81f3\u5d29\u6e83\uff0c\u800c\u5176\u4ed6 GPU \u5374\u4ecd\u7136\u5904\u4e8e\u672a\u5145\u5206\u5229\u7528\u72b6\u6001\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u663e\u5b58\u8bbe\u7f6e\uff0c\u8ba9\u6a21\u578b\u5728\u6240\u6709 GPU \u4e0a\u66f4\u5747\u8861\u5730\u52a0\u8f7d\uff0c\u4ece\u800c\u907f\u514d\u8fd9\u7c7b\u95ee\u9898\u3002<\/p>\n<p>\u4f60\u53ef\u4ee5\u6309\u4ee5\u4e0b\u65b9\u5f0f\u8c03\u6574\u663e\u5b58\u8bbe\u7f6e\uff1a<\/p>\n<ul>\n<li>\u4f7f\u7528 <code>nvidia-smi<\/code> \u67e5\u770b\u6bcf\u5757 GPU \u7684\u53ef\u7528\u663e\u5b58\u3002<\/li>\n<li>\u5728 OpenClaw \u914d\u7f6e\u4e2d\uff0c\u4e3a\u6bcf\u4e2a\u6a21\u578b\u8bbe\u7f6e\u663e\u5b58\u9650\u5236\u3002<br \/>\n\u793a\u4f8b\uff1a<\/p>\n<pre><code>models:\r\n  - name: model_A\r\n    device: cuda:0\r\n    memory_limit: 8GB\r\n  - name: model_B\r\n    device: cuda:1\r\n    memory_limit: 8GB<\/code><\/pre>\n<\/li>\n<li>\u786e\u4fdd\u6bcf\u5757 GPU \u7684\u603b\u663e\u5b58\u4f7f\u7528\u91cf\u4e0d\u8d85\u8fc7\u5176\u5bb9\u91cf\u4e0a\u9650\u3002<\/li>\n<\/ul>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 100px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\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\">GPU<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u53ef\u7528\u663e\u5b58<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u5206\u914d\u6a21\u578b<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u663e\u5b58\u9650\u5236<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">cuda:0<\/td>\n<td colspan=\"1\" rowspan=\"1\">12GB<\/td>\n<td colspan=\"1\" rowspan=\"1\">model_A<\/td>\n<td colspan=\"1\" rowspan=\"1\">8GB<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">cuda:1<\/td>\n<td colspan=\"1\" rowspan=\"1\">12GB<\/td>\n<td colspan=\"1\" rowspan=\"1\">model_B<\/td>\n<td colspan=\"1\" rowspan=\"1\">8GB<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<blockquote><p><strong>\u6ce8\u610f\uff1a<\/strong>\u5747\u8861\u5206\u914d\u663e\u5b58\u6709\u52a9\u4e8e\u907f\u514d\u8d1f\u8f7d\u4e0d\u5747\uff0c\u5e76\u4fdd\u6301\u670d\u52a1\u5668\u7a33\u5b9a\u8fd0\u884c\u3002<\/p><\/blockquote>\n<h3>\u624b\u52a8\u9009\u62e9\u6a21\u578b\u53c2\u6570<\/h3>\n<p>\u624b\u52a8\u9009\u62e9\u6a21\u578b\u53c2\u6570\u53ef\u4ee5\u8ba9\u4f60\u66f4\u7cbe\u7ec6\u5730\u63a7\u5236\u6bcf\u5757 GPU \u7684\u8fd0\u884c\u65b9\u5f0f\u3002\u4f60\u53ef\u4ee5\u4e3a\u6bcf\u4e2a\u6a21\u578b\u5206\u522b\u8bbe\u7f6e\u6279\u5927\u5c0f\u3001\u8ba1\u7b97\u7cbe\u5ea6\u53ca\u5176\u4ed6\u53c2\u6570\u3002\u8fd9\u4e00\u6b65\u80fd\u591f\u786e\u4fdd\u4e0d\u4f1a\u6709\u67d0\u5757 GPU \u8fc7\u8f7d\uff0c\u4e5f\u4e0d\u4f1a\u6709\u67d0\u5757 GPU \u957f\u65f6\u95f4\u5904\u4e8e\u4f4e\u5229\u7528\u72b6\u6001\u3002<\/p>\n<p>\u624b\u52a8\u8bbe\u7f6e\u53c2\u6570\u65f6\uff0c\u53ef\u4ee5\u53c2\u8003\u4ee5\u4e0b\u539f\u5219\uff1a<\/p>\n<ul>\n<li>\u6839\u636e\u5404\u5757 GPU \u7684\u80fd\u529b\u8bbe\u7f6e\u5339\u914d\u7684\u6279\u5927\u5c0f\u3002<\/li>\n<li>\u6839\u636e GPU \u652f\u6301\u60c5\u51b5\u8c03\u6574\u7cbe\u5ea6\u8bbe\u7f6e\uff08FP16 \u6216 FP32\uff09\u3002<\/li>\n<li>\u5c06\u66f4\u91cd\u7684\u6a21\u578b\u5206\u914d\u7ed9\u6027\u80fd\u66f4\u5f3a\u7684 GPU\u3002<\/li>\n<\/ul>\n<p>\u4f8b\u5982\uff1a<\/p>\n<pre><code>models:\r\n  - name: model_A\r\n    device: cuda:0\r\n    batch_size: 32\r\n    precision: FP16\r\n  - name: model_B\r\n    device: cuda:1\r\n    batch_size: 16\r\n    precision: FP32<\/code><\/pre>\n<blockquote><p><strong>\u63d0\u793a\uff1a<\/strong>\u624b\u52a8\u8c03\u4f18\u867d\u7136\u9700\u8981\u65f6\u95f4\uff0c\u4f46\u56de\u62a5\u660e\u663e\u3002\u8fd9\u6837\u53ef\u4ee5\u907f\u514d\u74f6\u9888\uff0c\u5e76\u6700\u5927\u5316\u5229\u7528\u4f60\u7684\u786c\u4ef6\u8d44\u6e90\u3002<\/p><\/blockquote>\n<p>\u5f53\u4f60\u8bbe\u7f6e\u597d CUDA \u6838\u5fc3\u6570\u3001\u8c03\u6574\u663e\u5b58\u914d\u7f6e\uff0c\u5e76\u624b\u52a8\u9009\u62e9\u6a21\u578b\u53c2\u6570\u540e\uff0c\u5c31\u80fd\u6784\u5efa\u51fa\u66f4\u5747\u8861\u7684\u8fd0\u884c\u73af\u5883\u3002\u8fd9\u4e9b\u6b65\u9aa4\u6709\u52a9\u4e8e\u4f60\u89e3\u51b3\u8d1f\u8f7d\u4e0d\u5747\u7684\u95ee\u9898\uff0c\u5e76\u8ba9\u670d\u52a1\u5668\u53d1\u6325\u6700\u4f73\u6027\u80fd\u3002<\/p>\n<h2><strong>\u4f18\u5316\u4e0e\u6269\u5c55\u7b56\u7565<\/strong><\/h2>\n<h3>\u4f7f\u7528 OpenClaw \u7684\u8d1f\u8f7d\u5747\u8861\u529f\u80fd<\/h3>\n<p>OpenClaw \u63d0\u4f9b\u4e86\u5185\u7f6e\u5de5\u5177\uff0c\u53ef\u7528\u4e8e\u5728\u6240\u6709 GPU \u4e4b\u95f4\u5e73\u8861\u5de5\u4f5c\u8d1f\u8f7d\u3002\u4f60\u53ef\u4ee5\u5728\u914d\u7f6e\u6587\u4ef6\u4e2d\u542f\u7528\u81ea\u52a8\u8d1f\u8f7d\u5747\u8861\u529f\u80fd\u3002\u8be5\u529f\u80fd\u80fd\u591f\u5e2e\u52a9\u4f60\u907f\u514d\u8d1f\u8f7d\u4e0d\u5747\uff0c\u56e0\u4e3a OpenClaw \u4f1a\u81ea\u52a8\u51b3\u5b9a\u5982\u4f55\u62c6\u5206\u4efb\u52a1\u3002\u8fd9\u6837\u4e00\u6765\uff0c\u4f60\u65e0\u9700\u624b\u52a8\u4e3a\u6bcf\u4e2a\u4efb\u52a1\u5355\u72ec\u6307\u5b9a\u8bbe\u5907\u3002OpenClaw \u4f1a\u68c0\u67e5\u6bcf\u5757 GPU \u7684\u5f53\u524d\u72b6\u6001\uff0c\u5e76\u5c06\u65b0\u4efb\u52a1\u5206\u914d\u7ed9\u53ef\u7528\u8d44\u6e90\u6700\u591a\u7684\u90a3\u4e00\u5757\u3002<\/p>\n<p>\u8981\u542f\u7528\u8d1f\u8f7d\u5747\u8861\uff0c\u53ef\u5728\u914d\u7f6e\u4e2d\u6dfb\u52a0\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/p>\n<pre><code>load_balancing:\r\n  enabled: true\r\n  strategy: auto<\/code><\/pre>\n<blockquote><p><strong>\u63d0\u793a\uff1a<\/strong>\u4f60\u53ef\u4ee5\u5c1d\u8bd5\u4e0d\u540c\u7b56\u7565\uff0c\u4f8b\u5982 \u201cround-robin\u201d \u6216 \u201cleast-loaded\u201d\uff0c\u770b\u770b\u54ea\u4e00\u79cd\u66f4\u9002\u5408\u4f60\u7684\u670d\u52a1\u5668\u73af\u5883\u3002<\/p><\/blockquote>\n<h3>\u901a\u8fc7\u6a2a\u5411\u6269\u5c55\u5206\u6563\u8d1f\u8f7d<\/h3>\n<p>\u6709\u65f6\uff0c\u5355\u53f0\u670d\u52a1\u5668\u65e0\u6cd5\u627f\u8f7d\u5168\u90e8\u8bf7\u6c42\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u589e\u52a0\u66f4\u591a\u670d\u52a1\u5668\u6765\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c\u8fd9\u79cd\u65b9\u5f0f\u79f0\u4e3a\u6a2a\u5411\u6269\u5c55\u3002\u4f60\u53ef\u4ee5\u5c06\u591a\u53f0\u670d\u52a1\u5668\u8fde\u63a5\u5728\u4e00\u8d77\uff0c\u5e76\u8ba9\u6bcf\u53f0\u670d\u52a1\u5668\u5206\u522b\u8fd0\u884c OpenClaw \u53ca\u5176\u6240\u8fde\u63a5\u7684 GPU\u3002\u524d\u7aef\u518d\u90e8\u7f72\u4e00\u4e2a\u8d1f\u8f7d\u5747\u8861\u5668\uff0c\u5c06\u4efb\u52a1\u5206\u53d1\u7ed9\u5f53\u524d\u53ef\u7528\u5bb9\u91cf\u6700\u5927\u7684\u670d\u52a1\u5668\u3002<\/p>\n<p>\u6a2a\u5411\u6269\u5c55\u6709\u52a9\u4e8e\u5e94\u5bf9\u66f4\u591a\u7528\u6237\u8bf7\u6c42\uff0c\u5e76\u4fdd\u6301\u8f83\u9ad8\u6027\u80fd\u3002\u540c\u65f6\uff0c\u7531\u4e8e\u4efb\u52a1\u4f1a\u5206\u6563\u5230\u591a\u53f0\u673a\u5668\u4e0a\uff0c\u8d1f\u8f7d\u4e0d\u5747\u7684\u98ce\u9669\u4e5f\u4f1a\u76f8\u5e94\u964d\u4f4e\u3002<\/p>\n<h3>\u76d1\u63a7\u4e0e\u6027\u80fd\u5206\u6790\u5de5\u5177<\/h3>\n<p>\u4f60\u9700\u8981\u6301\u7eed\u76d1\u63a7\u7cfb\u7edf\u72b6\u6001\uff0c\u624d\u80fd\u4fdd\u8bc1\u5176\u7a33\u5b9a\u8fd0\u884c\u3002\u76d1\u63a7\u5de5\u5177\u53ef\u4ee5\u5e2e\u52a9\u4f60\u67e5\u770b\u6bcf\u5757 GPU \u7684\u5de5\u4f5c\u72b6\u51b5\uff0c\u800c\u6027\u80fd\u5206\u6790\u5de5\u5177\u5219\u6709\u52a9\u4e8e\u627e\u51fa\u90e8\u7f72\u4e2d\u7684\u74f6\u9888\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528 NVIDIA-SMI\u3001OpenClaw \u81ea\u5e26\u4eea\u8868\u677f\uff0c\u6216\u7ed3\u5408 Prometheus \u4e0e Grafana\u3002\u501f\u52a9\u8fd9\u4e9b\u5de5\u5177\uff0c\u4f60\u53ef\u4ee5\u8ddf\u8e2a GPU \u4f7f\u7528\u7387\u3001\u663e\u5b58\u5360\u7528\u548c\u6e29\u5ea6\u53d8\u5316\u3002<\/p>\n<ul>\n<li>\u4e3a GPU \u9ad8\u4f7f\u7528\u7387\u8bbe\u7f6e\u544a\u8b66\u3002<\/li>\n<li>\u68c0\u67e5\u65e5\u5fd7\u4e2d\u7684\u9519\u8bef\u548c\u6027\u80fd\u4e0b\u964d\u8ff9\u8c61\u3002<\/li>\n<li>\u67e5\u770b\u8d8b\u52bf\u56fe\uff0c\u8bc6\u522b\u957f\u671f\u8fd0\u884c\u4e2d\u7684\u5f02\u5e38\u53d8\u5316\u3002<\/li>\n<\/ul>\n<blockquote><p><strong>\u6ce8\u610f\uff1a<\/strong>\u5b9a\u671f\u76d1\u63a7\u80fd\u591f\u5e2e\u52a9\u4f60\u53ca\u65e9\u53d1\u73b0\u95ee\u9898\uff0c\u5e76\u8ba9\u670d\u52a1\u5668\u59cb\u7ec8\u4fdd\u6301\u8d1f\u8f7d\u5747\u8861\u72b6\u6001\u3002<\/p><\/blockquote>\n<h2><strong>\u6392\u67e5\u6301\u7eed\u5b58\u5728\u7684\u8d1f\u8f7d\u95ee\u9898<\/strong><\/h2>\n<h3>\u786c\u4ef6\u4e0e\u7f51\u7edc\u74f6\u9888<\/h3>\n<p>\u5373\u4f7f\u4f60\u5df2\u7ecf\u8fdb\u884c\u4e86\u7ec6\u81f4\u914d\u7f6e\uff0c\u8d1f\u8f7d\u4e0d\u5747\u7684\u95ee\u9898\u6709\u65f6\u4ecd\u7136\u4f1a\u51fa\u73b0\u3002\u786c\u4ef6\u548c\u7f51\u7edc\u74f6\u9888\u5f80\u5f80\u662f\u5176\u4e2d\u7684\u91cd\u8981\u539f\u56e0\u3002\u5982\u679c\u67d0\u4e00\u5757 GPU \u660e\u663e\u6bd4\u5176\u4ed6 GPU \u66f4\u6162\uff0c\u8bf7\u5148\u68c0\u67e5\u5b83\u7684\u786c\u4ef6\u72b6\u6001\u3002\u7070\u5c18\u5806\u79ef\u3001\u6563\u70ed\u4e0d\u826f\u6216\u786c\u4ef6\u8001\u5316\uff0c\u90fd\u53ef\u80fd\u5bfc\u81f4\u6027\u80fd\u4e0b\u964d\u3002\u4f60\u8fd8\u5e94\u6bd4\u8f83\u5404\u5757 GPU \u6240\u8fde\u63a5\u7684 PCIe \u901a\u9053\u548c\u5e26\u5bbd\u3002\u6709\u65f6\uff0c\u8fde\u63a5\u5728\u8f83\u6162\u63d2\u69fd\u4e0a\u7684 GPU \u65e0\u6cd5\u8ddf\u4e0a\u5176\u4ed6\u8bbe\u5907\u7684\u5904\u7406\u901f\u5ea6\u3002<\/p>\n<p>\u7f51\u7edc\u95ee\u9898\u540c\u6837\u53ef\u80fd\u9020\u6210\u74f6\u9888\u3002\u5982\u679c\u4f60\u7684\u670d\u52a1\u5668\u9700\u8981\u8fde\u63a5\u5176\u4ed6\u673a\u5668\u6216\u4e91\u670d\u52a1\uff0c\u9ad8\u5ef6\u8fdf\u6216\u4e22\u5305\u4f1a\u62d6\u6162\u4efb\u52a1\u5206\u53d1\u6548\u7387\u3002\u4f60\u5e94\u5c06\u670d\u52a1\u5668\u90e8\u7f72\u5728\u7f51\u7edc\u8fde\u63a5\u8d28\u91cf\u8f83\u597d\u7684\u533a\u57df\u3002\u4f8b\u5982\uff0c\u5bf9\u4e8e\u4e9a\u6d32\u7528\u6237\u800c\u8a00\uff0c\u90e8\u7f72\u5728\u9999\u6e2f\u7684\u670d\u52a1\u5668\u901a\u5e38\u53ef\u4ee5\u83b7\u5f97\u66f4\u4f4e\u7684\u5ef6\u8fdf\u3002<\/p>\n<blockquote><p><strong>\u63d0\u793a\uff1a<\/strong>\u4f60\u53ef\u4ee5\u4f7f\u7528 <code>iperf<\/code> \u6d4b\u8bd5\u670d\u52a1\u5668\u4e4b\u95f4\u7684\u7f51\u7edc\u901f\u5ea6\u3002\u5982\u679c\u53d1\u73b0\u94fe\u8def\u5b58\u5728\u95ee\u9898\uff0c\u5e94\u53ca\u65f6\u66f4\u6362\u6545\u969c\u7f51\u7ebf\u6216\u4ea4\u6362\u673a\u3002<\/p><\/blockquote>\n<h3>\u8f6f\u4ef6\u914d\u7f6e\u9519\u8bef<\/h3>\n<p>\u8f6f\u4ef6\u914d\u7f6e\u9519\u8bef\u4e5f\u4f1a\u5bfc\u81f4\u8d1f\u8f7d\u4e0d\u5747\u957f\u671f\u5b58\u5728\u3002\u4f60\u9700\u8981\u8ba4\u771f\u68c0\u67e5 OpenClaw \u8bbe\u7f6e\u4ee5\u53ca\u670d\u52a1\u5668\u8fd0\u884c\u73af\u5883\u3002\u4f60\u53ef\u4ee5\u53c2\u8003\u4ee5\u4e0b\u6b65\u9aa4\uff1a<\/p>\n<ul>\n<li>\u9009\u62e9\u80fd\u591f\u964d\u4f4e\u5ef6\u8fdf\u7684\u670d\u52a1\u5668\u90e8\u7f72\u4f4d\u7f6e\uff0c\u4f8b\u5982\u9999\u6e2f\u3002<\/li>\n<li>\u786e\u4fdd\u670d\u52a1\u5668\u8d44\u6e90\u5145\u8db3\u3002\u5bf9\u4e8e\u57fa\u7840\u4efb\u52a1\uff0c\u81f3\u5c11\u5e94\u914d\u5907 2 \u6838 CPU \u548c 2GB \u5185\u5b58\uff1b\u5982\u679c\u8fd0\u884c\u590d\u6742\u6a21\u578b\uff0c\u5219\u9700\u8981\u8fdb\u4e00\u6b65\u5347\u7ea7\u914d\u7f6e\u3002<\/li>\n<li>\u5f00\u653e TCP \u7aef\u53e3 18789 \u7684\u8bbf\u95ee\u6743\u9650\uff0c\u8fd9\u6837 OpenClaw \u624d\u80fd\u6b63\u5e38\u901a\u4fe1\u3002<\/li>\n<li>\u4e3a SSH \u7684 22 \u7aef\u53e3\u914d\u7f6e IP \u767d\u540d\u5355\uff0c\u4ee5\u589e\u5f3a\u5b89\u5168\u6027\u5e76\u9632\u6b62\u672a\u7ecf\u6388\u6743\u7684\u8bbf\u95ee\u3002<\/li>\n<li>\u5982\u679c\u4f60\u4f7f\u7528\u6d77\u5916\u6a21\u578b\uff0c\u8bf7\u914d\u7f6e\u7a33\u5b9a\u7684\u4ee3\u7406\u670d\u52a1\u3002\u4f60\u4e5f\u53ef\u4ee5\u9009\u62e9\u5177\u5907\u4f18\u5316\u8def\u7531\u8def\u5f84\u7684\u670d\u52a1\u5668\uff0c\u4ee5\u8fdb\u4e00\u6b65\u964d\u4f4e\u5ef6\u8fdf\u3002<\/li>\n<\/ul>\n<p>\u4f60\u5e94\u4ed4\u7ec6\u68c0\u67e5\u914d\u7f6e\u6587\u4ef6\u4e2d\u662f\u5426\u5b58\u5728\u62fc\u5199\u9519\u8bef\u6216\u5b57\u6bb5\u7f3a\u5931\u3002\u54ea\u6015\u53ea\u662f\u4e00\u4e2a\u5c0f\u9519\u8bef\uff0c\u4e5f\u53ef\u80fd\u5bfc\u81f4 OpenClaw \u65e0\u6cd5\u5747\u8861\u5206\u914d\u4efb\u52a1\u3002\u5b8c\u6210\u4fee\u6539\u540e\uff0c\u8bf7\u91cd\u542f\u76f8\u5173\u670d\u52a1\uff0c\u4f7f\u65b0\u914d\u7f6e\u751f\u6548\u3002<\/p>\n<div class=\"qc-divider-wrapper\">\n<div class=\"qc-divider\" style=\"border-top-style: solid; width: 100%; border-top-color: #d1d1d1;\"><\/div>\n<\/div>\n<p>\u4f60\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e CUDA \u6838\u5fc3\u6570\u3001\u8c03\u6574\u663e\u5b58\uff0c\u5e76\u4f18\u5316\u6a21\u578b\u53c2\u6570\u6765\u89e3\u51b3 OpenClaw \u7684\u8d1f\u8f7d\u4e0d\u5747\u95ee\u9898\u3002\u5b9a\u671f\u76d1\u63a7\u4e0e\u4e3b\u52a8\u914d\u7f6e\u4f18\u5316\uff0c\u80fd\u591f\u8ba9\u7cfb\u7edf\u4fdd\u6301\u5747\u8861\u3001\u9ad8\u6548\u8fd0\u884c\u3002\u968f\u7740\u786c\u4ef6\u548c\u8f6f\u4ef6\u73af\u5883\u4e0d\u65ad\u53d8\u5316\uff0c\u4f60\u4e5f\u5e94\u4fdd\u6301\u7075\u6d3b\u8c03\u6574\u3002\u4e3a\u4e86\u957f\u671f\u83b7\u5f97\u7406\u60f3\u6548\u679c\uff0c\u5efa\u8bae\u4f60\u6301\u7eed\u53c2\u8003 LayerStack \u6559\u7a0b\u3001\u4ea7\u54c1\u6587\u6863\u4ee5\u53ca OpenClaw 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