<script type="application/ld+json">{"@context":"http://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.simcentric.com/tc/home-update-2026/"},{"@type":"ListItem","position":2,"name":"如何解決 OpenClaw 在多 GPU 伺服器中的負載不均問題","item":"https://www.simcentric.com/tc/hong-kong-dedicated-server-tc/how-to-solve-uneven-load-on-openclaw-in-multi-gpu-servers/"}]}</script> {"id":33018,"date":"2026-06-29T14:34:39","date_gmt":"2026-06-29T06:34:39","guid":{"rendered":"https:\/\/www.simcentric.com\/uncategorized-tc\/how-to-solve-uneven-load-on-openclaw-in-multi-gpu-servers\/"},"modified":"2026-06-29T14:39:57","modified_gmt":"2026-06-29T06:39:57","slug":"how-to-solve-uneven-load-on-openclaw-in-multi-gpu-servers","status":"publish","type":"post","link":"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/how-to-solve-uneven-load-on-openclaw-in-multi-gpu-servers\/","title":{"rendered":"\u5982\u4f55\u89e3\u6c7a OpenClaw \u5728\u591a GPU \u4f3a\u670d\u5668\u4e2d\u7684\u8ca0\u8f09\u4e0d\u5747\u554f\u984c"},"content":{"rendered":"<p>\u4f60\u53ef\u4ee5\u900f\u904e\u8abf\u6574\u914d\u7f6e\uff0c\u8b93 OpenClaw \u5728<a href=\"https:\/\/www.simcentric.com\/tc\/products\/dedicated-server-hk\/\" target=\"_blank\" rel=\"noopener\">\u591a GPU \u4f3a\u670d\u5668<\/a>\u4e2d\u66f4\u5747\u8861\u5730\u4f7f\u7528\u8cc7\u6e90\uff0c\u5f9e\u800c\u89e3\u6c7a<a href=\"https:\/\/www.simcentric.com\/tc\/japan-dedicated-server-tc\/fix-openclaw-multi-gpu-load-imbalance\/\" target=\"_blank\" rel=\"noopener\">\u8ca0\u8f09\u4e0d\u5747<\/a>\u7684\u554f\u984c\u3002\u8ca0\u8f09\u4e0d\u5747\u6703\u62d6\u6162\u6a21\u578b\u904b\u884c\u901f\u5ea6\uff0c\u4e26\u5c0e\u81f4\u90e8\u5206 GPU \u9592\u7f6e\uff0c\u800c\u53e6\u4e00\u4e9b GPU \u8ca0\u8f09\u904e\u9ad8\u3002\u7576\u4f60\u89e3\u6c7a\u9019\u4e00\u554f\u984c\u5f8c\uff0c\u5c31\u80fd\u7372\u5f97\u66f4\u5feb\u7684\u8655\u7406\u7d50\u679c\uff0c\u4e26\u66f4\u5145\u5206\u5730\u5229\u7528\u786c\u9ad4\u8cc7\u6e90\u3002\u8acb\u5148\u4ed4\u7d30\u6aa2\u67e5\u4f60\u76ee\u524d\u7684\u90e8\u7f72\u74b0\u5883\uff0c\u518d\u8457\u624b\u9032\u884c\u914d\u7f6e\u6700\u4f73\u5316\uff0c\u4ee5\u63d0\u5347\u4f3a\u670d\u5668\u6574\u9ad4\u6548\u80fd\u3002<\/p>\n<h2><strong>\u8a3a\u65b7\u8ca0\u8f09\u4e0d\u5747<\/strong><\/h2>\n<h3>OpenClaw \u4e2d\u8ca0\u8f09\u5931\u8861\u7684\u8868\u73fe<\/h3>\n<p>\u4f60\u53ef\u4ee5\u900f\u904e\u89c0\u5bdf\u5404\u5f35 GPU \u7684\u904b\u884c\u60c5\u6cc1\u4f86\u5224\u65b7 OpenClaw \u662f\u5426\u5b58\u5728\u8ca0\u8f09\u4e0d\u5747\u3002\u7576\u4f60\u767c\u73fe\u67d0\u4e00\u5f35 GPU \u7684\u5de5\u4f5c\u8ca0\u8f09\u660e\u986f\u9ad8\u65bc\u5176\u4ed6 GPU \u6642\uff0c\u5c31\u4ee3\u8868\u7cfb\u7d71\u53ef\u80fd\u51fa\u73fe\u4e86\u554f\u984c\u3002\u4f60\u53ef\u80fd\u6703\u6ce8\u610f\u5230\u56de\u61c9\u6642\u9593\u8b8a\u6162\uff0c\u6216\u8005\u4efb\u52d9\u6301\u7e8c\u5806\u7a4d\u5728\u67d0\u4e00\u5f35\u88dd\u7f6e\u4e0a\u3002\u6709\u6642\uff0c\u4f3a\u670d\u5668\u65e5\u8a8c\u6703\u986f\u793a\u67d0\u4e00\u5f35 GPU \u8655\u7406\u4e86\u7d55\u5927\u591a\u6578\u8acb\u6c42\uff0c\u800c\u5176\u4ed6 GPU \u537b\u8655\u65bc\u9592\u7f6e\u72c0\u614b\u3002\u4f60\u9084\u53ef\u80fd\u767c\u73fe\u67d0\u5f35 GPU \u7684\u986f\u793a\u8a18\u61b6\u9ad4\u5360\u7528\u7a81\u7136\u5347\u9ad8\uff0c\u9019\u6703\u9032\u4e00\u6b65\u5f15\u767c\u7576\u6a5f\u6216\u5831\u932f\u3002<\/p>\n<p>\u4ee5\u4e0b\u662f\u4f60\u61c9\u91cd\u9ede\u7559\u610f\u7684\u5e7e\u7a2e\u8868\u73fe\uff1a<\/p>\n<ul>\n<li>\u67d0\u4e00\u5f35 GPU \u6eab\u5ea6\u660e\u986f\u504f\u9ad8\uff0c\u800c\u5176\u4ed6 GPU \u6eab\u5ea6\u8f03\u4f4e\u3002<\/li>\n<li>\u4e0d\u540c GPU \u7684\u4efb\u52d9\u5b8c\u6210\u6642\u9593\u5dee\u7570\u5f88\u5927\u3002<\/li>\n<li>\u67d0\u4e00\u5f35\u88dd\u7f6e\u7684\u986f\u793a\u8a18\u61b6\u9ad4\u5360\u7528\u9060\u9ad8\u65bc\u5176\u4ed6\u88dd\u7f6e\u3002<\/li>\n<li>\u4f3a\u670d\u5668\u65e5\u8a8c\u4e2d\u53cd\u8986\u51fa\u73fe\u8cc7\u6e90\u904e\u8f09\u76f8\u95dc\u8b66\u544a\u3002<\/li>\n<\/ul>\n<h3>\u591a GPU \u74b0\u5883\u4e2d\u7684\u5e38\u898b\u539f\u56e0<\/h3>\n<p>\u5728\u591a GPU \u74b0\u5883\u4e2d\uff0c\u8ca0\u8f09\u4e0d\u5747\u901a\u5e38\u6e90\u65bc\u914d\u7f6e\u932f\u8aa4\u6216\u786c\u9ad4\u9650\u5236\u3002\u6709\u6642\uff0cOpenClaw \u7121\u6cd5\u5c07\u4efb\u52d9\u5e73\u5747\u5206\u914d\u5230\u6240\u6709 GPU\u3002\u4f60\u53ef\u80fd\u932f\u8aa4\u8a2d\u5b9a\u4e86 CUDA \u6838\u5fc3\u6578\uff0c\u6216\u8005\u6c92\u6709\u5408\u7406\u5206\u914d\u986f\u793a\u8a18\u61b6\u9ad4\u3002\u7db2\u8def\u5ef6\u9072\u4e5f\u53ef\u80fd\u5c0e\u81f4\u67d0\u4e00\u5f35 GPU \u88ab\u5206\u914d\u5230\u66f4\u591a\u4efb\u52d9\u3002<\/p>\n<p>\u4e0b\u8868\u5217\u51fa\u4e86\u5e38\u898b\u539f\u56e0\u53ca\u5176\u5f71\u97ff\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\u97ff<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">CUDA \u6838\u5fc3\u5206\u914d\u932f\u8aa4<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u67d0\u4e00\u5f35 GPU \u627f\u64d4\u4e86\u5927\u90e8\u5206\u4efb\u52d9<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u986f\u793a\u8a18\u61b6\u9ad4\u5206\u914d\u4e0d\u5747<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u67d0\u4e00\u5f35 GPU \u51fa\u73fe\u8a18\u61b6\u9ad4\u904e\u8f09<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u7db2\u8def\u5ef6\u9072<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u4efb\u52d9\u5206\u767c\u51fa\u73fe\u5ef6\u5f8c<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u6a21\u578b\u53c3\u6578\u4e0d\u5339\u914d<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u90e8\u5206 GPU \u8655\u7406\u901f\u5ea6\u8f03\u6162\u7684\u6a21\u578b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u4f60\u61c9\u8a72\u91dd\u5c0d\u9019\u4e9b\u554f\u984c\u9010\u9805\u6aa2\u67e5\u76ee\u524d\u74b0\u5883\u3002\u53ca\u6642\u4fee\u5fa9\u5f8c\uff0c\u53ef\u4ee5\u907f\u514d\u8ca0\u8f09\u4e0d\u5747\uff0c\u4e26\u8b93\u4f3a\u670d\u5668\u4fdd\u6301\u5e73\u7a69\u904b\u884c\u3002<\/p>\n<h2><strong>\u5be6\u73fe\u8ca0\u8f09\u5747\u8861\u7684\u914d\u7f6e\u8207\u90e8\u7f72\u65b9\u6cd5<\/strong><\/h2>\n<h3>\u8a2d\u5b9a CUDA \u6838\u5fc3\u6578<\/h3>\n<p>\u4f60\u53ef\u4ee5\u900f\u904e\u8a2d\u5b9a CUDA \u6838\u5fc3\u6578\u4f86\u63a7\u5236 OpenClaw \u5c07\u4efb\u52d9\u5206\u914d\u7d66\u5404\u5f35 GPU \u7684\u65b9\u5f0f\u3002\u9019\u4e00\u6b65\u80fd\u5e6b\u52a9\u4f60\u907f\u514d\u4efb\u52d9\u62c6\u5206\u4e0d\u5408\u7406\u7684\u554f\u984c\uff0c\u56e0\u70ba\u9019\u5f80\u5f80\u6703\u5c0e\u81f4\u67d0\u4e00\u5f35 GPU \u627f\u64d4\u7d55\u5927\u591a\u6578\u8ca0\u8f09\u3002\u7576\u4f60\u660e\u78ba\u6307\u5b9a CUDA \u6838\u5fc3\u5206\u914d\u6642\uff0c\u5c31\u80fd\u78ba\u4fdd\u6bcf\u5f35 GPU \u90fd\u7372\u5f97\u76f8\u5c0d\u5747\u8861\u7684\u5de5\u4f5c\u91cf\u3002<\/p>\n<p>\u8a2d\u5b9a CUDA \u6838\u5fc3\u6578\u6642\uff0c\u8acb\u6309\u7167\u4ee5\u4e0b\u6b65\u9a5f\u64cd\u4f5c\uff1a<\/p>\n<ol>\n<li>\u4f7f\u7528 <code>nvidia-smi<\/code> \u67e5\u770b\u4f3a\u670d\u5668\u4e2d\u7684 GPU \u6578\u91cf\u3002<\/li>\n<li>\u958b\u555f\u4f60\u7684 OpenClaw \u914d\u7f6e\u6a94\u6848\u3002<\/li>\n<li>\u5c07\u6bcf\u500b\u6a21\u578b\u6216\u4efb\u52d9\u5206\u914d\u7d66\u6307\u5b9a\u7684 CUDA \u88dd\u7f6e\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>\u5132\u5b58\u914d\u7f6e\u4e26\u91cd\u65b0\u555f\u52d5 OpenClaw\u3002<\/li>\n<\/ol>\n<h3>\u8abf\u6574\u986f\u793a\u8a18\u61b6\u9ad4\u8a2d\u5b9a<\/h3>\n<p>\u986f\u793a\u8a18\u61b6\u9ad4\uff08VRAM\uff09\u5c0d GPU \u8655\u7406\u4efb\u52d9\u7684\u80fd\u529b\u5f71\u97ff\u5f88\u5927\u3002\u5982\u679c\u67d0\u4e00\u5f35 GPU \u986f\u793a\u8a18\u61b6\u9ad4\u8017\u76e1\uff0c\u5b83\u53ef\u80fd\u6703\u51fa\u73fe\u901f\u5ea6\u4e0b\u964d\uff0c\u751a\u81f3\u7576\u6a5f\uff0c\u800c\u5176\u4ed6 GPU \u537b\u4ecd\u7136\u8655\u65bc\u672a\u5145\u5206\u5229\u7528\u72c0\u614b\u3002\u4f60\u53ef\u4ee5\u900f\u904e\u8abf\u6574\u986f\u793a\u8a18\u61b6\u9ad4\u8a2d\u5b9a\uff0c\u8b93\u6a21\u578b\u5728\u6240\u6709 GPU \u4e0a\u66f4\u5747\u8861\u5730\u8f09\u5165\uff0c\u5f9e\u800c\u907f\u514d\u9019\u985e\u554f\u984c\u3002<\/p>\n<p>\u4f60\u53ef\u4ee5\u6309\u4ee5\u4e0b\u65b9\u5f0f\u8abf\u6574\u986f\u793a\u8a18\u61b6\u9ad4\u8a2d\u5b9a\uff1a<\/p>\n<ul>\n<li>\u4f7f\u7528 <code>nvidia-smi<\/code> \u67e5\u770b\u6bcf\u5f35 GPU \u7684\u53ef\u7528\u986f\u793a\u8a18\u61b6\u9ad4\u3002<\/li>\n<li>\u5728 OpenClaw \u914d\u7f6e\u4e2d\uff0c\u70ba\u6bcf\u500b\u6a21\u578b\u8a2d\u5b9a\u986f\u793a\u8a18\u61b6\u9ad4\u9650\u5236\u3002<br \/>\n\u7bc4\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>\u78ba\u4fdd\u6bcf\u5f35 GPU \u7684\u7e3d\u986f\u793a\u8a18\u61b6\u9ad4\u4f7f\u7528\u91cf\u4e0d\u8d85\u904e\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\u986f\u793a\u8a18\u61b6\u9ad4<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u5206\u914d\u6a21\u578b<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u986f\u793a\u8a18\u61b6\u9ad4\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\u986f\u793a\u8a18\u61b6\u9ad4\u6709\u52a9\u65bc\u907f\u514d\u8ca0\u8f09\u4e0d\u5747\uff0c\u4e26\u4fdd\u6301\u4f3a\u670d\u5668\u7a69\u5b9a\u904b\u884c\u3002<\/p><\/blockquote>\n<h3>\u624b\u52d5\u9078\u64c7\u6a21\u578b\u53c3\u6578<\/h3>\n<p>\u624b\u52d5\u9078\u64c7\u6a21\u578b\u53c3\u6578\u53ef\u4ee5\u8b93\u4f60\u66f4\u7cbe\u7d30\u5730\u63a7\u5236\u6bcf\u5f35 GPU \u7684\u904b\u4f5c\u65b9\u5f0f\u3002\u4f60\u53ef\u4ee5\u70ba\u6bcf\u500b\u6a21\u578b\u5206\u5225\u8a2d\u5b9a\u6279\u6b21\u5927\u5c0f\u3001\u8a08\u7b97\u7cbe\u5ea6\u53ca\u5176\u4ed6\u53c3\u6578\u3002\u9019\u4e00\u6b65\u80fd\u5920\u78ba\u4fdd\u4e0d\u6703\u6709\u67d0\u5f35 GPU \u904e\u8f09\uff0c\u4e5f\u4e0d\u6703\u6709\u67d0\u5f35 GPU \u9577\u6642\u9593\u8655\u65bc\u4f4e\u5229\u7528\u72c0\u614b\u3002<\/p>\n<p>\u624b\u52d5\u8a2d\u5b9a\u53c3\u6578\u6642\uff0c\u53ef\u4ee5\u53c3\u8003\u4ee5\u4e0b\u539f\u5247\uff1a<\/p>\n<ul>\n<li>\u6839\u64da\u5404\u5f35 GPU \u7684\u80fd\u529b\u8a2d\u5b9a\u5339\u914d\u7684\u6279\u6b21\u5927\u5c0f\u3002<\/li>\n<li>\u6839\u64da GPU \u652f\u63f4\u60c5\u6cc1\u8abf\u6574\u7cbe\u5ea6\u8a2d\u5b9a\uff08FP16 \u6216 FP32\uff09\u3002<\/li>\n<li>\u5c07\u66f4\u91cd\u7684\u6a21\u578b\u5206\u914d\u7d66\u6548\u80fd\u66f4\u5f37\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\u52d5\u8abf\u6821\u96d6\u7136\u9700\u8981\u6642\u9593\uff0c\u4f46\u56de\u5831\u660e\u986f\u3002\u9019\u6a23\u53ef\u4ee5\u907f\u514d\u74f6\u9838\uff0c\u4e26\u6700\u5927\u5316\u5229\u7528\u4f60\u7684\u786c\u9ad4\u8cc7\u6e90\u3002<\/p><\/blockquote>\n<p>\u7576\u4f60\u8a2d\u5b9a\u597d CUDA \u6838\u5fc3\u6578\u3001\u8abf\u6574\u986f\u793a\u8a18\u61b6\u9ad4\u914d\u7f6e\uff0c\u4e26\u624b\u52d5\u9078\u64c7\u6a21\u578b\u53c3\u6578\u5f8c\uff0c\u5c31\u80fd\u5efa\u7acb\u51fa\u66f4\u5747\u8861\u7684\u904b\u884c\u74b0\u5883\u3002\u9019\u4e9b\u6b65\u9a5f\u6709\u52a9\u65bc\u4f60\u89e3\u6c7a\u8ca0\u8f09\u4e0d\u5747\u7684\u554f\u984c\uff0c\u4e26\u8b93\u4f3a\u670d\u5668\u767c\u63ee\u6700\u4f73\u6548\u80fd\u3002<\/p>\n<h2><strong>\u6700\u4f73\u5316\u8207\u64f4\u5145\u7b56\u7565<\/strong><\/h2>\n<h3>\u4f7f\u7528 OpenClaw \u7684\u8ca0\u8f09\u5e73\u8861\u529f\u80fd<\/h3>\n<p>OpenClaw \u63d0\u4f9b\u4e86\u5167\u5efa\u5de5\u5177\uff0c\u53ef\u7528\u65bc\u5728\u6240\u6709 GPU \u4e4b\u9593\u5e73\u8861\u5de5\u4f5c\u8ca0\u8f09\u3002\u4f60\u53ef\u4ee5\u5728\u914d\u7f6e\u6a94\u6848\u4e2d\u555f\u7528\u81ea\u52d5\u8ca0\u8f09\u5e73\u8861\u529f\u80fd\u3002\u8a72\u529f\u80fd\u80fd\u5920\u5e6b\u52a9\u4f60\u907f\u514d\u8ca0\u8f09\u4e0d\u5747\uff0c\u56e0\u70ba OpenClaw \u6703\u81ea\u52d5\u6c7a\u5b9a\u5982\u4f55\u62c6\u5206\u4efb\u52d9\u3002\u5982\u6b64\u4e00\u4f86\uff0c\u4f60\u7121\u9700\u624b\u52d5\u70ba\u6bcf\u500b\u4efb\u52d9\u55ae\u7368\u6307\u5b9a\u88dd\u7f6e\u3002OpenClaw \u6703\u6aa2\u67e5\u6bcf\u5f35 GPU \u7684\u76ee\u524d\u72c0\u614b\uff0c\u4e26\u5c07\u65b0\u4efb\u52d9\u5206\u914d\u7d66\u53ef\u7528\u8cc7\u6e90\u6700\u591a\u7684\u90a3\u4e00\u5f35\u3002<\/p>\n<p>\u8981\u555f\u7528\u8ca0\u8f09\u5e73\u8861\uff0c\u53ef\u5728\u914d\u7f6e\u4e2d\u52a0\u5165\u4ee5\u4e0b\u5167\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\u5617\u8a66\u4e0d\u540c\u7b56\u7565\uff0c\u4f8b\u5982 \u201cround-robin\u201d \u6216 \u201cleast-loaded\u201d\uff0c\u770b\u770b\u54ea\u4e00\u7a2e\u66f4\u9069\u5408\u4f60\u7684\u4f3a\u670d\u5668\u74b0\u5883\u3002<\/p><\/blockquote>\n<h3>\u900f\u904e\u6a6b\u5411\u64f4\u5145\u5206\u6563\u8ca0\u8f09<\/h3>\n<p>\u6709\u6642\uff0c\u55ae\u53f0\u4f3a\u670d\u5668\u7121\u6cd5\u627f\u8f09\u5168\u90e8\u8acb\u6c42\u3002\u4f60\u53ef\u4ee5\u900f\u904e\u589e\u52a0\u66f4\u591a\u4f3a\u670d\u5668\u4f86\u89e3\u6c7a\u9019\u4e00\u554f\u984c\uff0c\u9019\u7a2e\u65b9\u5f0f\u7a31\u70ba\u6a6b\u5411\u64f4\u5145\u3002\u4f60\u53ef\u4ee5\u5c07\u591a\u53f0\u4f3a\u670d\u5668\u9023\u63a5\u5728\u4e00\u8d77\uff0c\u4e26\u8b93\u6bcf\u53f0\u4f3a\u670d\u5668\u5206\u5225\u904b\u884c OpenClaw \u53ca\u5176\u6240\u9023\u63a5\u7684 GPU\u3002\u524d\u7aef\u518d\u90e8\u7f72\u4e00\u500b\u8ca0\u8f09\u5e73\u8861\u5668\uff0c\u5c07\u4efb\u52d9\u5206\u767c\u7d66\u76ee\u524d\u53ef\u7528\u5bb9\u91cf\u6700\u5927\u7684\u4f3a\u670d\u5668\u3002<\/p>\n<p>\u6a6b\u5411\u64f4\u5145\u6709\u52a9\u65bc\u61c9\u5c0d\u66f4\u591a\u4f7f\u7528\u8005\u8acb\u6c42\uff0c\u4e26\u7dad\u6301\u8f03\u9ad8\u6548\u80fd\u3002\u540c\u6642\uff0c\u7531\u65bc\u4efb\u52d9\u6703\u5206\u6563\u5230\u591a\u53f0\u6a5f\u5668\u4e0a\uff0c\u8ca0\u8f09\u4e0d\u5747\u7684\u98a8\u96aa\u4e5f\u6703\u76f8\u61c9\u964d\u4f4e\u3002<\/p>\n<h3>\u76e3\u63a7\u8207\u6548\u80fd\u5206\u6790\u5de5\u5177<\/h3>\n<p>\u4f60\u9700\u8981\u6301\u7e8c\u76e3\u63a7\u7cfb\u7d71\u72c0\u614b\uff0c\u624d\u80fd\u78ba\u4fdd\u5176\u7a69\u5b9a\u904b\u884c\u3002\u76e3\u63a7\u5de5\u5177\u53ef\u4ee5\u5e6b\u52a9\u4f60\u67e5\u770b\u6bcf\u5f35 GPU \u7684\u5de5\u4f5c\u72c0\u6cc1\uff0c\u800c\u6548\u80fd\u5206\u6790\u5de5\u5177\u5247\u6709\u52a9\u65bc\u627e\u51fa\u90e8\u7f72\u4e2d\u7684\u74f6\u9838\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528 NVIDIA-SMI\u3001OpenClaw \u5167\u5efa\u5100\u8868\u677f\uff0c\u6216\u7d50\u5408 Prometheus \u8207 Grafana\u3002\u85c9\u7531\u9019\u4e9b\u5de5\u5177\uff0c\u4f60\u53ef\u4ee5\u8ffd\u8e64 GPU \u4f7f\u7528\u7387\u3001\u986f\u793a\u8a18\u61b6\u9ad4\u5360\u7528\u548c\u6eab\u5ea6\u8b8a\u5316\u3002<\/p>\n<ul>\n<li>\u70ba GPU \u9ad8\u4f7f\u7528\u7387\u8a2d\u5b9a\u8b66\u793a\u3002<\/li>\n<li>\u6aa2\u67e5\u65e5\u8a8c\u4e2d\u7684\u932f\u8aa4\u548c\u6548\u80fd\u4e0b\u964d\u8de1\u8c61\u3002<\/li>\n<li>\u67e5\u770b\u8da8\u52e2\u5716\uff0c\u8fa8\u8b58\u9577\u671f\u904b\u884c\u4e2d\u7684\u7570\u5e38\u8b8a\u5316\u3002<\/li>\n<\/ul>\n<blockquote><p><strong>\u6ce8\u610f\uff1a<\/strong>\u5b9a\u671f\u76e3\u63a7\u80fd\u5920\u5e6b\u52a9\u4f60\u53ca\u65e9\u767c\u73fe\u554f\u984c\uff0c\u4e26\u8b93\u4f3a\u670d\u5668\u59cb\u7d42\u4fdd\u6301\u8ca0\u8f09\u5e73\u8861\u72c0\u614b\u3002<\/p><\/blockquote>\n<h2><strong>\u6392\u67e5\u6301\u7e8c\u5b58\u5728\u7684\u8ca0\u8f09\u554f\u984c<\/strong><\/h2>\n<h3>\u786c\u9ad4\u8207\u7db2\u8def\u74f6\u9838<\/h3>\n<p>\u5373\u4f7f\u4f60\u5df2\u7d93\u9032\u884c\u4e86\u7d30\u7dfb\u914d\u7f6e\uff0c\u8ca0\u8f09\u4e0d\u5747\u7684\u554f\u984c\u6709\u6642\u4ecd\u7136\u6703\u51fa\u73fe\u3002\u786c\u9ad4\u548c\u7db2\u8def\u74f6\u9838\u5f80\u5f80\u662f\u5176\u4e2d\u7684\u91cd\u8981\u539f\u56e0\u3002\u5982\u679c\u67d0\u4e00\u5f35 GPU \u660e\u986f\u6bd4\u5176\u4ed6 GPU \u66f4\u6162\uff0c\u8acb\u5148\u6aa2\u67e5\u5b83\u7684\u786c\u9ad4\u72c0\u614b\u3002\u7070\u5875\u5806\u7a4d\u3001\u6563\u71b1\u4e0d\u826f\u6216\u786c\u9ad4\u8001\u5316\uff0c\u90fd\u53ef\u80fd\u5c0e\u81f4\u6548\u80fd\u4e0b\u964d\u3002\u4f60\u9084\u61c9\u6bd4\u8f03\u5404\u5f35 GPU \u6240\u9023\u63a5\u7684 PCIe \u901a\u9053\u548c\u983b\u5bec\u3002\u6709\u6642\uff0c\u9023\u63a5\u5728\u8f03\u6162\u63d2\u69fd\u4e0a\u7684 GPU \u7121\u6cd5\u8ddf\u4e0a\u5176\u4ed6\u88dd\u7f6e\u7684\u8655\u7406\u901f\u5ea6\u3002<\/p>\n<p>\u7db2\u8def\u554f\u984c\u540c\u6a23\u53ef\u80fd\u9020\u6210\u74f6\u9838\u3002\u5982\u679c\u4f60\u7684\u4f3a\u670d\u5668\u9700\u8981\u9023\u63a5\u5176\u4ed6\u6a5f\u5668\u6216\u96f2\u7aef\u670d\u52d9\uff0c\u9ad8\u5ef6\u9072\u6216\u5c01\u5305\u907a\u5931\u6703\u62d6\u6162\u4efb\u52d9\u5206\u767c\u6548\u7387\u3002\u4f60\u61c9\u5c07\u4f3a\u670d\u5668\u90e8\u7f72\u5728\u7db2\u8def\u9023\u7dda\u54c1\u8cea\u8f03\u4f73\u7684\u5340\u57df\u3002\u4f8b\u5982\uff0c\u5c0d\u4e9e\u6d32\u4f7f\u7528\u8005\u800c\u8a00\uff0c\u90e8\u7f72\u5728\u9999\u6e2f\u7684\u4f3a\u670d\u5668\u901a\u5e38\u53ef\u4ee5\u7372\u5f97\u8f03\u4f4e\u7684\u5ef6\u9072\u3002<\/p>\n<blockquote><p><strong>\u63d0\u793a\uff1a<\/strong>\u4f60\u53ef\u4ee5\u4f7f\u7528 <code>iperf<\/code> \u6e2c\u8a66\u4f3a\u670d\u5668\u4e4b\u9593\u7684\u7db2\u8def\u901f\u5ea6\u3002\u5982\u679c\u767c\u73fe\u93c8\u8def\u5b58\u5728\u554f\u984c\uff0c\u61c9\u53ca\u6642\u66f4\u63db\u6545\u969c\u7db2\u7dda\u6216\u4ea4\u63db\u5668\u3002<\/p><\/blockquote>\n<h3>\u8edf\u9ad4\u914d\u7f6e\u932f\u8aa4<\/h3>\n<p>\u8edf\u9ad4\u914d\u7f6e\u932f\u8aa4\u4e5f\u6703\u5c0e\u81f4\u8ca0\u8f09\u4e0d\u5747\u9577\u671f\u5b58\u5728\u3002\u4f60\u9700\u8981\u4ed4\u7d30\u6aa2\u67e5 OpenClaw \u8a2d\u5b9a\u4ee5\u53ca\u4f3a\u670d\u5668\u904b\u884c\u74b0\u5883\u3002\u4f60\u53ef\u4ee5\u53c3\u8003\u4ee5\u4e0b\u6b65\u9a5f\uff1a<\/p>\n<ul>\n<li>\u9078\u64c7\u80fd\u5920\u964d\u4f4e\u5ef6\u9072\u7684\u4f3a\u670d\u5668\u90e8\u7f72\u4f4d\u7f6e\uff0c\u4f8b\u5982\u9999\u6e2f\u3002<\/li>\n<li>\u78ba\u4fdd\u4f3a\u670d\u5668\u8cc7\u6e90\u5145\u8db3\u3002\u5c0d\u65bc\u57fa\u790e\u4efb\u52d9\uff0c\u81f3\u5c11\u61c9\u914d\u5099 2 \u6838 CPU \u548c 2GB \u8a18\u61b6\u9ad4\uff1b\u82e5\u904b\u884c\u8907\u96dc\u6a21\u578b\uff0c\u5247\u9700\u8981\u9032\u4e00\u6b65\u5347\u7d1a\u914d\u7f6e\u3002<\/li>\n<li>\u958b\u653e TCP \u9023\u63a5\u57e0 18789 \u7684\u5b58\u53d6\u6b0a\u9650\uff0c\u9019\u6a23 OpenClaw \u624d\u80fd\u6b63\u5e38\u901a\u8a0a\u3002<\/li>\n<li>\u70ba SSH \u7684 22 \u9023\u63a5\u57e0\u914d\u7f6e IP \u767d\u540d\u55ae\uff0c\u4ee5\u589e\u5f37\u5b89\u5168\u6027\u4e26\u9632\u6b62\u672a\u7d93\u6388\u6b0a\u7684\u5b58\u53d6\u3002<\/li>\n<li>\u5982\u679c\u4f60\u4f7f\u7528\u6d77\u5916\u6a21\u578b\uff0c\u8acb\u914d\u7f6e\u7a69\u5b9a\u7684\u4ee3\u7406\u670d\u52d9\u3002\u4f60\u4e5f\u53ef\u4ee5\u9078\u64c7\u5177\u5099\u6700\u4f73\u5316\u8def\u7531\u8def\u5f91\u7684\u4f3a\u670d\u5668\uff0c\u4ee5\u9032\u4e00\u6b65\u964d\u4f4e\u5ef6\u9072\u3002<\/li>\n<\/ul>\n<p>\u4f60\u61c9\u4ed4\u7d30\u6aa2\u67e5\u914d\u7f6e\u6a94\u6848\u4e2d\u662f\u5426\u5b58\u5728\u62fc\u5beb\u932f\u8aa4\u6216\u6b04\u4f4d\u7f3a\u5931\u3002\u54ea\u6015\u53ea\u662f\u4e00\u500b\u5c0f\u932f\u8aa4\uff0c\u4e5f\u53ef\u80fd\u5c0e\u81f4 OpenClaw \u7121\u6cd5\u5747\u8861\u5206\u914d\u4efb\u52d9\u3002\u5b8c\u6210\u4fee\u6539\u5f8c\uff0c\u8acb\u91cd\u65b0\u555f\u52d5\u76f8\u95dc\u670d\u52d9\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\u900f\u904e\u8a2d\u5b9a CUDA \u6838\u5fc3\u6578\u3001\u8abf\u6574\u986f\u793a\u8a18\u61b6\u9ad4\uff0c\u4e26\u6700\u4f73\u5316\u6a21\u578b\u53c3\u6578\u4f86\u89e3\u6c7a OpenClaw \u7684\u8ca0\u8f09\u4e0d\u5747\u554f\u984c\u3002\u5b9a\u671f\u76e3\u63a7\u8207\u4e3b\u52d5\u914d\u7f6e\u6700\u4f73\u5316\uff0c\u80fd\u5920\u8b93\u7cfb\u7d71\u4fdd\u6301\u5747\u8861\u3001\u9ad8\u6548\u904b\u884c\u3002\u96a8\u8457\u786c\u9ad4\u548c\u8edf\u9ad4\u74b0\u5883\u4e0d\u65b7\u8b8a\u5316\uff0c\u4f60\u4e5f\u61c9\u4fdd\u6301\u9748\u6d3b\u8abf\u6574\u3002\u70ba\u4e86\u9577\u671f\u7372\u5f97\u7406\u60f3\u6548\u679c\uff0c\u5efa\u8b70\u4f60\u6301\u7e8c\u53c3\u8003 LayerStack \u6559\u5b78\u3001\u7522\u54c1\u6587\u4ef6\u4ee5\u53ca OpenClaw 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