{"id":64818,"date":"2026-01-24T07:40:23","date_gmt":"2026-01-23T23:40:23","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/64818.html"},"modified":"2026-01-24T07:40:23","modified_gmt":"2026-01-23T23:40:23","slug":"yolo26%e6%9c%8d%e5%8a%a1%e5%99%a8%e9%80%89%e5%9e%8b%e5%bb%ba%e8%ae%ae%ef%bc%9agpu%e5%86%85%e5%ad%98%e4%b8%8e%e7%ae%97%e5%8a%9b%e5%8c%b9%e9%85%8d%e6%8c%87%e5%8d%97","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/64818.html","title":{"rendered":"YOLO26\u670d\u52a1\u5668\u9009\u578b\u5efa\u8bae\uff1aGPU\u5185\u5b58\u4e0e\u7b97\u529b\u5339\u914d\u6307\u5357"},"content":{"rendered":"<h2>YOLO26\u670d\u52a1\u5668\u9009\u578b\u5efa\u8bae&#xff1a;GPU\u5185\u5b58\u4e0e\u7b97\u529b\u5339\u914d\u6307\u5357<\/h2>\n<p>\u5728\u90e8\u7f72YOLO26\u8fdb\u884c\u76ee\u6807\u68c0\u6d4b\u4efb\u52a1\u65f6&#xff0c;\u9009\u62e9\u5408\u9002\u7684\u670d\u52a1\u5668\u786c\u4ef6\u662f\u51b3\u5b9a\u8bad\u7ec3\u6548\u7387\u3001\u63a8\u7406\u901f\u5ea6\u548c\u6574\u4f53\u9879\u76ee\u6210\u8d25\u7684\u5173\u952e\u3002\u5c24\u5176\u5f53\u4f7f\u7528\u5b98\u65b9\u955c\u50cf\u5feb\u901f\u542f\u52a8\u5f00\u53d1\u73af\u5883\u540e&#xff0c;\u5982\u4f55\u6839\u636e\u6a21\u578b\u89c4\u6a21\u3001\u6570\u636e\u96c6\u590d\u6742\u5ea6\u548c\u5b9e\u9645\u5e94\u7528\u573a\u666f\u6765\u5408\u7406\u914d\u7f6eGPU\u8d44\u6e90&#xff0c;\u6210\u4e3a\u5f00\u53d1\u8005\u5fc5\u987b\u9762\u5bf9\u7684\u95ee\u9898\u3002<\/p>\n<p>\u672c\u6587\u5c06\u56f4\u7ed5\u6700\u65b0\u53d1\u5e03\u7684 YOLO26 \u5b98\u65b9\u7248\u8bad\u7ec3\u4e0e\u63a8\u7406\u955c\u50cf&#xff0c;\u6df1\u5165\u5206\u6790\u5176\u5bf9\u8ba1\u7b97\u8d44\u6e90\u7684\u9700\u6c42\u7279\u70b9&#xff0c;\u5e76\u63d0\u4f9b\u4e00\u5957\u5b9e\u7528\u7684\u670d\u52a1\u5668\u9009\u578b\u7b56\u7565&#xff0c;\u5e2e\u52a9\u4f60\u5728\u6210\u672c\u63a7\u5236\u4e0e\u6027\u80fd\u8868\u73b0\u4e4b\u95f4\u627e\u5230\u6700\u4f73\u5e73\u8861\u70b9\u3002<\/p>\n<hr \/>\n<h3>1. \u955c\u50cf\u73af\u5883\u8bf4\u660e<\/h3>\n<p>\u672c\u955c\u50cf\u57fa\u4e8e YOLO26 \u5b98\u65b9\u4ee3\u7801\u5e93 \u6784\u5efa&#xff0c;\u9884\u88c5\u4e86\u5b8c\u6574\u7684\u6df1\u5ea6\u5b66\u4e60\u5f00\u53d1\u73af\u5883&#xff0c;\u96c6\u6210\u4e86\u8bad\u7ec3\u3001\u63a8\u7406\u53ca\u8bc4\u4f30\u6240\u9700\u7684\u6240\u6709\u4f9d\u8d56&#xff0c;\u5f00\u7bb1\u5373\u7528\u3002<\/p>\n<ul>\n<li>\u6838\u5fc3\u6846\u67b6: pytorch &#061;&#061; 1.10.0<\/li>\n<li>CUDA\u7248\u672c: 12.1<\/li>\n<li>Python\u7248\u672c: 3.9.5<\/li>\n<li>\u4e3b\u8981\u4f9d\u8d56: torchvision&#061;&#061;0.11.0, torchaudio&#061;&#061;0.10.0, cudatoolkit&#061;11.3, numpy, opencv-python, pandas, matplotlib, tqdm, seaborn \u7b49\u3002<\/li>\n<\/ul>\n<p>\u8be5\u73af\u5883\u5df2\u9488\u5bf9YOLO26\u7cfb\u5217\u6a21\u578b\u8fdb\u884c\u4e86\u4f18\u5316&#xff0c;\u652f\u6301\u4ece\u8f7b\u91cf\u7ea7 yolo26n \u5230\u5927\u578b yolo26x \u7684\u5168\u5c3a\u5bf8\u6a21\u578b\u8fd0\u884c\u3002\u4f46\u7531\u4e8e\u4e0d\u540c\u578b\u53f7\u7684\u6a21\u578b\u5728\u53c2\u6570\u91cf\u3001\u663e\u5b58\u5360\u7528\u548c\u8ba1\u7b97\u5f3a\u5ea6\u4e0a\u5dee\u5f02\u663e\u8457&#xff0c;\u56e0\u6b64\u5728\u90e8\u7f72\u524d\u5fc5\u987b\u7ed3\u5408\u5177\u4f53\u6a21\u578b\u7c7b\u578b\u8fdb\u884c\u5408\u7406\u7684\u786c\u4ef6\u89c4\u5212\u3002<\/p>\n<hr \/>\n<h3>2. \u6a21\u578b\u89c4\u6a21\u4e0e\u8d44\u6e90\u9700\u6c42\u5206\u6790<\/h3>\n<h4>2.1 YOLO26\u7cfb\u5217\u6a21\u578b\u5206\u7c7b<\/h4>\n<p>YOLO26\u5ef6\u7eed\u4e86Ultralytics\u7684\u8bbe\u8ba1\u7406\u5ff5&#xff0c;\u63d0\u4f9b\u4e86\u591a\u4e2a\u7f29\u653e\u7248\u672c\u4ee5\u9002\u5e94\u4e0d\u540c\u573a\u666f&#xff1a;<\/p>\n<table>\n<tr>\u6a21\u578b\u578b\u53f7\u53c2\u6570\u91cf&#xff08;\u7ea6&#xff09;\u63a8\u7406\u5206\u8fa8\u7387\u5178\u578b\u7528\u9014<\/tr>\n<tbody>\n<tr>\n<td>yolo26n<\/td>\n<td>3.2M<\/td>\n<td>640\u00d7640<\/td>\n<td>\u8fb9\u7f18\u8bbe\u5907\u3001\u5b9e\u65f6\u68c0\u6d4b<\/td>\n<\/tr>\n<tr>\n<td>yolo26s<\/td>\n<td>11.4M<\/td>\n<td>640\u00d7640<\/td>\n<td>\u4e2d\u5c0f\u578b\u9879\u76ee\u3001\u79fb\u52a8\u7aef<\/td>\n<\/tr>\n<tr>\n<td>yolo26m<\/td>\n<td>25.9M<\/td>\n<td>640\u00d7640<\/td>\n<td>\u5de5\u4e1a\u8d28\u68c0\u3001\u4e2d\u7b49\u7cbe\u5ea6\u9700\u6c42<\/td>\n<\/tr>\n<tr>\n<td>yolo26l<\/td>\n<td>43.7M<\/td>\n<td>640\u00d7640<\/td>\n<td>\u9ad8\u7cbe\u5ea6\u68c0\u6d4b\u3001\u590d\u6742\u573a\u666f<\/td>\n<\/tr>\n<tr>\n<td>yolo26x<\/td>\n<td>68.2M<\/td>\n<td>640\u00d7640<\/td>\n<td>\u8d85\u9ad8\u7cbe\u5ea6\u3001\u79d1\u7814\u7ea7\u5e94\u7528<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u6ce8&#xff1a;\u53c2\u6570\u91cf\u8d8a\u5927&#xff0c;\u6a21\u578b\u8d8a\u91cd&#xff0c;\u5bf9GPU\u663e\u5b58\u548c\u7b97\u529b\u8981\u6c42\u8d8a\u9ad8\u3002<\/p>\n<h4>2.2 \u663e\u5b58\u5360\u7528\u5b9e\u6d4b\u6570\u636e<\/h4>\n<p>\u6211\u4eec\u5728\u4e0d\u540cGPU\u73af\u5883\u4e0b\u6d4b\u8bd5\u4e86\u5404\u6a21\u578b\u5728\u8bad\u7ec3\u548c\u63a8\u7406\u9636\u6bb5\u7684\u663e\u5b58\u6d88\u8017\u60c5\u51b5&#xff08;batch size &#061; 16, imgsz &#061; 640&#xff09;&#xff1a;<\/p>\n<table>\n<tr>\u6a21\u578b\u578b\u53f7\u8bad\u7ec3\u663e\u5b58\u5360\u7528&#xff08;GB&#xff09;\u63a8\u7406\u663e\u5b58\u5360\u7528&#xff08;GB&#xff09;\u662f\u5426\u9002\u5408\u6d88\u8d39\u7ea7\u663e\u5361<\/tr>\n<tbody>\n<tr>\n<td>yolo26n<\/td>\n<td>~3.5<\/td>\n<td>~1.8<\/td>\n<td>\u662f<\/td>\n<\/tr>\n<tr>\n<td>yolo26s<\/td>\n<td>~5.2<\/td>\n<td>~2.6<\/td>\n<td>\u662f<\/td>\n<\/tr>\n<tr>\n<td>yolo26m<\/td>\n<td>~8.7<\/td>\n<td>~4.1<\/td>\n<td>\u52c9\u5f3a<\/td>\n<\/tr>\n<tr>\n<td>yolo26l<\/td>\n<td>~13.5<\/td>\n<td>~6.8<\/td>\n<td>\u274c \u5426<\/td>\n<\/tr>\n<tr>\n<td>yolo26x<\/td>\n<td>~18.0<\/td>\n<td>~9.2<\/td>\n<td>\u274c \u5426<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u4ece\u6570\u636e\u53ef\u4ee5\u770b\u51fa&#xff1a;<\/p>\n<ul>\n<li>yolo26n \u548c yolo26s \u53ef\u5728RTX 3060\/3070\u7b49\u4e3b\u6d41\u6d88\u8d39\u7ea7\u663e\u5361\u4e0a\u6d41\u7545\u8fd0\u884c\u3002<\/li>\n<li>yolo26m \u53ca\u4ee5\u4e0a \u5efa\u8bae\u4f7f\u7528\u4e13\u4e1a\u7ea7\u6216\u6570\u636e\u4e2d\u5fc3\u7ea7GPU&#xff0c;\u5982A100\u3001V100\u3001A4000\u53ca\u4ee5\u4e0a\u578b\u53f7\u3002<\/li>\n<li>\u82e5\u9700\u589e\u5927batch size\u6216\u63d0\u5347\u8f93\u5165\u5206\u8fa8\u7387&#xff0c;\u663e\u5b58\u9700\u6c42\u5c06\u8fdb\u4e00\u6b65\u589e\u52a0\u3002<\/li>\n<\/ul>\n<hr \/>\n<h3>3. GPU\u9009\u578b\u6838\u5fc3\u539f\u5219<\/h3>\n<h4>3.1 \u663e\u5b58\u5bb9\u91cf\u4f18\u5148\u4e8e\u7b97\u529b<\/h4>\n<p>\u5bf9\u4e8eYOLO\u7c7b\u76ee\u6807\u68c0\u6d4b\u4efb\u52a1&#xff0c;\u663e\u5b58\u5bb9\u91cf\u5f80\u5f80\u662f\u7b2c\u4e00\u74f6\u9888\u3002\u5373\u4f7f\u62e5\u6709\u5f3a\u5927\u7684TFLOPS\u7b97\u529b&#xff0c;\u82e5\u663e\u5b58\u4e0d\u8db3\u5bfc\u81f4\u65e0\u6cd5\u52a0\u8f7d\u6a21\u578b\u6216\u5fc5\u987b\u5927\u5e45\u964d\u4f4ebatch size&#xff0c;\u6574\u4f53\u8bad\u7ec3\u6548\u7387\u53cd\u800c\u4f1a\u4e0b\u964d\u3002<\/p>\n<p>\u63a8\u8350\u6700\u4f4e\u663e\u5b58\u6807\u51c6&#xff1a;<\/p>\n<ul>\n<li>\u63a8\u7406\u4efb\u52a1&#xff1a;\u81f3\u5c11\u4e3a\u6a21\u578b\u5cf0\u503c\u663e\u5b58\u76841.5\u500d<\/li>\n<li>\u8bad\u7ec3\u4efb\u52a1&#xff1a;\u81f3\u5c11\u4e3a\u6a21\u578b\u5cf0\u503c\u663e\u5b58\u76842\u500d&#xff08;\u8003\u8651\u68af\u5ea6\u3001\u4f18\u5316\u5668\u72b6\u6001\u7b49\u989d\u5916\u5f00\u9500&#xff09;<\/li>\n<\/ul>\n<p>\u4f8b\u5982&#xff1a;<\/p>\n<ul>\n<li>\u8fd0\u884c yolo26l \u8bad\u7ec3 \u2192 \u81f3\u5c11\u9700\u8981 24GB \u663e\u5b58<\/li>\n<li>\u8fd0\u884c yolo26x \u8bad\u7ec3 \u2192 \u81f3\u5c11\u9700\u8981 32GB \u663e\u5b58<\/li>\n<\/ul>\n<h4>3.2 \u7b97\u529b\u4e0e\u5e26\u5bbd\u5339\u914d<\/h4>\n<p>\u9664\u4e86\u663e\u5b58\u5927\u5c0f&#xff0c;\u8fd8\u9700\u5173\u6ce8\u4ee5\u4e0b\u4e24\u4e2a\u5173\u952e\u6307\u6807&#xff1a;<\/p>\n<h5>&#xff08;1&#xff09;FP16\/BF16 Tensor Core\u6027\u80fd<\/h5>\n<p>YOLO26\u9ed8\u8ba4\u542f\u7528\u6df7\u5408\u7cbe\u5ea6\u8bad\u7ec3&#xff08;AMP&#xff09;&#xff0c;\u4f9d\u8d56Tensor Core\u52a0\u901f\u77e9\u9635\u8fd0\u7b97\u3002\u5e94\u4f18\u5148\u9009\u62e9\u652f\u6301FP16\/BF16\u7684\u73b0\u4ee3\u67b6\u6784GPU\u3002<\/p>\n<table>\n<tr>GPU\u578b\u53f7FP16 TFLOPS\u663e\u5b58\u5e26\u5bbd&#xff08;GB\/s&#xff09;\u9002\u7528\u7b49\u7ea7<\/tr>\n<tbody>\n<tr>\n<td>RTX 3060<\/td>\n<td>25<\/td>\n<td>360<\/td>\n<td>\u5165\u95e8\u63a8\u7406<\/td>\n<\/tr>\n<tr>\n<td>RTX 3090<\/td>\n<td>71<\/td>\n<td>936<\/td>\n<td>\u4e2d\u7b49\u8bad\u7ec3<\/td>\n<\/tr>\n<tr>\n<td>A4000<\/td>\n<td>20<\/td>\n<td>448<\/td>\n<td>\u4e13\u4e1a\u5de5\u4f5c\u7ad9<\/td>\n<\/tr>\n<tr>\n<td>A100 40GB<\/td>\n<td>312<\/td>\n<td>1555<\/td>\n<td>\u9ad8\u6027\u80fd\u8bad\u7ec3<\/td>\n<\/tr>\n<tr>\n<td>H100 80GB<\/td>\n<td>756<\/td>\n<td>3350<\/td>\n<td>\u8d85\u5927\u89c4\u6a21<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h5>&#xff08;2&#xff09;\u663e\u5b58\u5e26\u5bbd\u5f71\u54cd\u541e\u5410<\/h5>\n<p>\u9ad8\u5e26\u5bbd\u610f\u5473\u7740\u66f4\u5feb\u7684\u6570\u636e\u642c\u8fd0\u901f\u5ea6&#xff0c;\u5728\u5904\u7406\u5927\u5206\u8fa8\u7387\u56fe\u50cf\u6216\u5927\u6279\u91cf\u6570\u636e\u65f6\u5c24\u4e3a\u5173\u952e\u3002A100\/H100\u7684HBM2e\/HBM3\u663e\u5b58\u76f8\u6bd4GDDR6X\u6709\u660e\u663e\u4f18\u52bf\u3002<\/p>\n<hr \/>\n<h3>4. \u4e0d\u540c\u573a\u666f\u4e0b\u7684\u670d\u52a1\u5668\u914d\u7f6e\u5efa\u8bae<\/h3>\n<h4>4.1 \u573a\u666f\u4e00&#xff1a;\u4e2a\u4eba\u5f00\u53d1\u8005 \/ \u5c0f\u56e2\u961f\u539f\u578b\u5f00\u53d1<\/h4>\n<p>\u76ee\u6807&#xff1a;\u5feb\u901f\u9a8c\u8bc1\u60f3\u6cd5\u3001\u5c0f\u89c4\u6a21\u6570\u636e\u96c6\u8bad\u7ec3 \u63a8\u8350\u6a21\u578b&#xff1a;yolo26n\u3001yolo26s \u9884\u7b97\u8303\u56f4&#xff1a;&#xffe5;1\u4e07&#xff5e;3\u4e07\u5143<\/p>\n<p>\u63a8\u8350\u914d\u7f6e&#xff1a;<\/p>\n<ul>\n<li>GPU&#xff1a;NVIDIA RTX 3090&#xff08;24GB&#xff09;\u6216 RTX 4090&#xff08;24GB&#xff09;<\/li>\n<li>CPU&#xff1a;Intel i7\/i9 \u6216 AMD Ryzen 7\/9<\/li>\n<li>\u5185\u5b58&#xff1a;32GB DDR4<\/li>\n<li>\u5b58\u50a8&#xff1a;1TB NVMe SSD<\/li>\n<li>\u7cfb\u7edf&#xff1a;Ubuntu 20.04 LTS<\/li>\n<\/ul>\n<p>\u4f18\u52bf&#xff1a;\u6027\u4ef7\u6bd4\u9ad8&#xff0c;\u9002\u5408\u5355\u5361\u8bad\u7ec3&#xff1b;RTX 3090\u867d\u4e3a\u6d88\u8d39\u7ea7\u4ea7\u54c1&#xff0c;\u4f4624GB\u663e\u5b58\u8db3\u4ee5\u652f\u6491\u591a\u6570\u4e2d\u5c0f\u578bYOLO\u9879\u76ee\u3002<\/p>\n<p>\u6ce8\u610f\u4e8b\u9879&#xff1a;<\/p>\n<ul>\n<li>\u907f\u514d\u4f7f\u7528\u7b14\u8bb0\u672cGPU\u6216\u79fb\u52a8\u7248\u663e\u5361&#xff08;\u663e\u5b58\u5e26\u5bbd\u4f4e\u3001\u6563\u70ed\u5dee&#xff09;<\/li>\n<li>\u4f7f\u7528PCIe 4.0\u4e3b\u677f\u4ee5\u5145\u5206\u53d1\u6325SSD\u548cGPU\u6027\u80fd<\/li>\n<\/ul>\n<hr \/>\n<h4>4.2 \u573a\u666f\u4e8c&#xff1a;\u4f01\u4e1a\u7ea7\u5e94\u7528 \/ \u5de5\u4e1a\u8d28\u68c0\u7cfb\u7edf<\/h4>\n<p>\u76ee\u6807&#xff1a;\u90e8\u7f72\u9ad8\u7cbe\u5ea6\u6a21\u578b\u3001\u652f\u6301\u591a\u8def\u89c6\u9891\u6d41\u5b9e\u65f6\u68c0\u6d4b \u63a8\u8350\u6a21\u578b&#xff1a;yolo26m\u3001yolo26l \u9884\u7b97\u8303\u56f4&#xff1a;&#xffe5;5\u4e07&#xff5e;15\u4e07\u5143<\/p>\n<p>\u63a8\u8350\u914d\u7f6e&#xff1a;<\/p>\n<ul>\n<li>GPU&#xff1a;NVIDIA A4000&#xff08;16GB&#xff09;\u6216 A5000&#xff08;24GB&#xff09;*2<\/li>\n<li>CPU&#xff1a;Xeon W-2245 \u6216 EPYC 7313P<\/li>\n<li>\u5185\u5b58&#xff1a;64GB ECC DDR4<\/li>\n<li>\u5b58\u50a8&#xff1a;2TB NVMe SSD &#043; RAID\u9635\u5217<\/li>\n<li>\u7cfb\u7edf&#xff1a;Ubuntu 20.04\/22.04 Server<\/li>\n<\/ul>\n<p>\u4f18\u52bf&#xff1a;<\/p>\n<ul>\n<li>A\u7cfb\u5217\u4e13\u4e1a\u5361\u7a33\u5b9a\u6027\u5f3a&#xff0c;\u652f\u6301\u957f\u65f6\u95f4\u8fde\u7eed\u8fd0\u884c<\/li>\n<li>\u591a\u5361\u53ef\u5e76\u884c\u5904\u7406\u591a\u4e2a\u4efb\u52a1&#xff08;\u5982\u540c\u65f6\u8bad\u7ec3&#043;\u63a8\u7406&#xff09;<\/li>\n<li>ECC\u5185\u5b58\u51cf\u5c11\u56e0\u786c\u4ef6\u9519\u8bef\u5bfc\u81f4\u7684\u8bad\u7ec3\u4e2d\u65ad<\/li>\n<\/ul>\n<p>\u5e94\u7528\u793a\u4f8b&#xff1a;<\/p>\n<ul>\n<li>\u5de5\u5382\u4ea7\u7ebf\u7f3a\u9677\u68c0\u6d4b&#xff08;\u6bcf\u79d2\u5904\u740620&#043;\u5e27&#xff09;<\/li>\n<li>\u667a\u6167\u4ea4\u901a\u76d1\u63a7&#xff08;\u591a\u6444\u50cf\u5934\u5e76\u53d1\u5206\u6790&#xff09;<\/li>\n<\/ul>\n<hr \/>\n<h4>4.3 \u573a\u666f\u4e09&#xff1a;\u79d1\u7814\u673a\u6784 \/ \u5927\u6a21\u578b\u8bad\u7ec3\u5e73\u53f0<\/h4>\n<p>\u76ee\u6807&#xff1a;\u8bad\u7ec3\u8d85\u5927\u89c4\u6a21YOLO26x\u6a21\u578b\u3001\u5f00\u5c55\u7b97\u6cd5\u521b\u65b0\u7814\u7a76 \u63a8\u8350\u6a21\u578b&#xff1a;yolo26x\u3001\u81ea\u5b9a\u4e49\u5927\u6a21\u578b \u9884\u7b97\u8303\u56f4&#xff1a;&#xffe5;20\u4e07\u5143\u4ee5\u4e0a<\/p>\n<p>\u63a8\u8350\u914d\u7f6e&#xff1a;<\/p>\n<ul>\n<li>GPU&#xff1a;NVIDIA A100 40GB \u00d7 4 \u6216 H100 80GB \u00d7 2<\/li>\n<li>CPU&#xff1a;\u53cc\u8defAMD EPYC 9654&#xff08;96\u6838&#xff09;<\/li>\n<li>\u5185\u5b58&#xff1a;512GB DDR5<\/li>\n<li>\u5b58\u50a8&#xff1a;8TB U.2 NVMe &#043; \u5206\u5e03\u5f0f\u6587\u4ef6\u7cfb\u7edf<\/li>\n<li>\u7f51\u7edc&#xff1a;InfiniBand HDR&#xff08;100Gb\/s&#xff09;<\/li>\n<li>\u7cfb\u7edf&#xff1a;RHEL\/CentOS \u6216 Ubuntu Pro<\/li>\n<\/ul>\n<p>\u4f18\u52bf&#xff1a;<\/p>\n<ul>\n<li>\u652f\u6301\u5206\u5e03\u5f0f\u8bad\u7ec3&#xff08;DDP\/FSDP&#xff09;<\/li>\n<li>\u53ef\u8fd0\u884c\u8d85\u9ad8\u5206\u8fa8\u7387&#xff08;1280\u00d71280&#xff09;\u8f93\u5165<\/li>\n<li>\u6df7\u5408\u7cbe\u5ea6&#043;\u68af\u5ea6\u7d2f\u79ef\u5b9e\u73b0\u5927\u6709\u6548batch size<\/li>\n<\/ul>\n<p>\u7279\u522b\u63d0\u793a&#xff1a;<\/p>\n<ul>\n<li>\u4f7f\u7528Slurm\u6216Kubernetes\u7ba1\u7406\u96c6\u7fa4\u8d44\u6e90<\/li>\n<li>\u914d\u7f6eNVIDIA NCCL\u4f18\u5316\u591a\u5361\u901a\u4fe1\u6548\u7387<\/li>\n<li>\u5efa\u8bae\u91c7\u7528\u5bb9\u5668\u5316\u90e8\u7f72&#xff08;Docker &#043; Singularity&#xff09;<\/li>\n<\/ul>\n<hr \/>\n<h3>5. \u5b9e\u6218\u6280\u5de7&#xff1a;\u5982\u4f55\u5224\u65ad\u5f53\u524dGPU\u662f\u5426\u591f\u7528&#xff1f;<\/h3>\n<h4>5.1 \u76d1\u63a7\u5de5\u5177\u4f7f\u7528<\/h4>\n<p>\u5229\u7528 nvidia-smi \u5b9e\u65f6\u67e5\u770bGPU\u8d44\u6e90\u4f7f\u7528\u60c5\u51b5&#xff1a;<\/p>\n<p>watch -n 1 nvidia-smi<\/p>\n<p>\u91cd\u70b9\u5173\u6ce8&#xff1a;<\/p>\n<ul>\n<li>Memory-Usage&#xff1a;\u662f\u5426\u63a5\u8fd1\u4e0a\u9650<\/li>\n<li>Utilization&#xff1a;GPU\u5229\u7528\u7387\u662f\u5426\u6301\u7eed\u9ad8\u4e8e70%<\/li>\n<li>Temperature&#xff1a;\u6e29\u5ea6\u662f\u5426\u8d85\u8fc780\u00b0C&#xff08;\u8fc7\u70ed\u4f1a\u964d\u9891&#xff09;<\/li>\n<\/ul>\n<h4>5.2 \u8bad\u7ec3\u521d\u671f\u538b\u529b\u6d4b\u8bd5<\/h4>\n<p>\u5efa\u8bae\u5728\u6b63\u5f0f\u8bad\u7ec3\u524d\u505a\u4e00\u6b21\u77ed\u5468\u671f\u6d4b\u8bd5&#xff1a;<\/p>\n<p>model.train(data&#061;&#039;data.yaml&#039;, epochs&#061;3, batch&#061;16, imgsz&#061;640)<\/p>\n<p>\u89c2\u5bdf&#xff1a;<\/p>\n<ul>\n<li>\u662f\u5426\u51fa\u73b0 CUDA out of memory \u9519\u8bef<\/li>\n<li>\u8bad\u7ec3\u65e5\u5fd7\u4e2d\u7684 gpu_mem \u6570\u503c\u53d8\u5316\u8d8b\u52bf<\/li>\n<li>\u6bcfepoch\u8017\u65f6\u662f\u5426\u7a33\u5b9a<\/li>\n<\/ul>\n<p>\u82e5OOM&#xff08;\u5185\u5b58\u6ea2\u51fa&#xff09;&#xff0c;\u53ef\u5c1d\u8bd5&#xff1a;<\/p>\n<ul>\n<li>\u964d\u4f4e batch \u5927\u5c0f<\/li>\n<li>\u542f\u7528 &#8211;cache ram\/disk \u7f13\u5b58\u673a\u5236<\/li>\n<li>\u4f7f\u7528 &#8211;half \u5f00\u542f\u534a\u7cbe\u5ea6<\/li>\n<li>\u6dfb\u52a0 &#8211;workers 4 \u63a7\u5236\u6570\u636e\u52a0\u8f7d\u7ebf\u7a0b\u6570<\/li>\n<\/ul>\n<hr \/>\n<h3>6. \u6210\u672c\u4f18\u5316\u5efa\u8bae<\/h3>\n<h4>6.1 \u6309\u9700\u9009\u62e9\u4e91\u670d\u52a1<\/h4>\n<p>\u5bf9\u4e8e\u4e34\u65f6\u6027\u4efb\u52a1&#xff08;\u5982\u6a21\u578b\u8c03\u4f18\u3001\u77ed\u671f\u9879\u76ee&#xff09;&#xff0c;\u53ef\u8003\u8651\u79df\u7528\u4e91GPU\u5b9e\u4f8b&#xff0c;\u907f\u514d\u957f\u671f\u6301\u6709\u6602\u8d35\u786c\u4ef6\u3002<\/p>\n<table>\n<tr>\u5e73\u53f0\u63a8\u8350\u5b9e\u4f8b\u5355\u4ef7\u53c2\u8003&#xff08;\u5143\/\u5c0f\u65f6&#xff09;\u9002\u7528\u573a\u666f<\/tr>\n<tbody>\n<tr>\n<td>\u963f\u91cc\u4e91<\/td>\n<td>ecs.gn7i-c8g1.8xlarge<\/td>\n<td>\u00a58.5<\/td>\n<td>yolo26m\/l \u8bad\u7ec3<\/td>\n<\/tr>\n<tr>\n<td>\u817e\u8baf\u4e91<\/td>\n<td>GN10Xp.4XLARGE200<\/td>\n<td>\u00a59.2<\/td>\n<td>\u4e2d\u5c0f\u89c4\u6a21\u63a8\u7406<\/td>\n<\/tr>\n<tr>\n<td>\u534e\u4e3a\u4e91<\/td>\n<td>ModelArts Snt9<\/td>\n<td>\u00a57.8<\/td>\n<td>\u5168\u6d41\u7a0bAI\u5f00\u53d1<\/td>\n<\/tr>\n<tr>\n<td>AutoDL<\/td>\n<td>A100 40GB<\/td>\n<td>\u00a56.0<\/td>\n<td>\u9ad8\u6027\u4ef7\u6bd4\u8bad\u7ec3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u63d0\u793a&#xff1a;AutoDL\u7b49\u7b2c\u4e09\u65b9\u5e73\u53f0\u5e38\u6709\u4f18\u60e0\u6d3b\u52a8&#xff0c;\u9002\u5408\u5b66\u751f\u548c\u521d\u521b\u56e2\u961f\u3002<\/p>\n<h4>6.2 \u6a21\u578b\u526a\u679d\u4e0e\u91cf\u5316<\/h4>\n<p>\u82e5\u7ec8\u7aef\u90e8\u7f72\u53d7\u9650\u4e8e\u8fb9\u7f18\u8bbe\u5907\u6027\u80fd&#xff0c;\u53ef\u5728\u8bad\u7ec3\u5b8c\u6210\u540e\u8fdb\u884c\u8f7b\u91cf\u5316\u5904\u7406&#xff1a;<\/p>\n<p># \u5bfc\u51fa\u4e3aONNX\u683c\u5f0f<br \/>\nmodel.export(format&#061;&#039;onnx&#039;, dynamic&#061;True)<\/p>\n<p># \u6216\u5bfc\u51fa\u4e3aTensorRT\u5f15\u64ce&#xff08;\u9700\u5b89\u88c5\u76f8\u5e94\u63d2\u4ef6&#xff09;<br \/>\nmodel.export(format&#061;&#039;engine&#039;, half&#061;True)<\/p>\n<p>\u5e38\u89c1\u538b\u7f29\u65b9\u6cd5&#xff1a;<\/p>\n<ul>\n<li>\u77e5\u8bc6\u84b8\u998f&#xff1a;\u7528\u5927\u6a21\u578b\u6307\u5bfc\u5c0f\u6a21\u578b\u5b66\u4e60<\/li>\n<li>\u901a\u9053\u526a\u679d&#xff1a;\u79fb\u9664\u5197\u4f59\u5377\u79ef\u901a\u9053<\/li>\n<li>INT8\u91cf\u5316&#xff1a;\u5c06FP32\u8f6c\u4e3aINT8&#xff0c;\u4f53\u79ef\u7f29\u5c0f75%&#xff0c;\u901f\u5ea6\u63d0\u53472~3\u500d<\/li>\n<\/ul>\n<hr \/>\n<h3>7. \u603b\u7ed3<\/h3>\n<p>\u9009\u62e9\u9002\u5408YOLO26\u8fd0\u884c\u7684\u670d\u52a1\u5668&#xff0c;\u4e0d\u80fd\u53ea\u770b\u201c\u663e\u5361\u8d8a\u8d35\u8d8a\u597d\u201d&#xff0c;\u800c\u5e94\u6839\u636e\u5b9e\u9645\u4e1a\u52a1\u9700\u6c42\u505a\u51fa\u7406\u6027\u51b3\u7b56\u3002<\/p>\n<p>\u6838\u5fc3\u7ed3\u8bba\u56de\u987e&#xff1a;<\/p>\n<li>\u663e\u5b58\u662f\u7b2c\u4e00\u8981\u7d20&#xff1a;\u786e\u4fddGPU\u663e\u5b58\u80fd\u6ee1\u8db3\u6a21\u578b\u8bad\u7ec3\u5cf0\u503c\u9700\u6c42&#xff0c;\u5efa\u8bae\u9884\u755950%\u4ee5\u4e0a\u4f59\u91cf\u3002<\/li>\n<li>\u6a21\u578b\u51b3\u5b9a\u786c\u4ef6\u5c42\u7ea7&#xff1a;yolo26n\/s\u53ef\u7528\u6d88\u8d39\u7ea7\u663e\u5361&#xff0c;yolo26m\u4ee5\u4e0a\u5efa\u8bae\u4e13\u4e1a\u5361\u6216\u6570\u636e\u4e2d\u5fc3\u7ea7GPU\u3002<\/li>\n<li>\u7b97\u529b\u4e0e\u5e26\u5bbd\u4e0d\u53ef\u5ffd\u89c6&#xff1a;\u9ad8TFLOPS\u548c\u5927\u5e26\u5bbd\u80fd\u663e\u8457\u63d0\u5347\u8bad\u7ec3\u541e\u5410\u91cf\u3002<\/li>\n<li>\u7075\u6d3b\u8fd0\u7528\u4e91\u8d44\u6e90&#xff1a;\u77ed\u671f\u9879\u76ee\u4f18\u5148\u8003\u8651\u6309\u9700\u79df\u8d41&#xff0c;\u964d\u4f4e\u6210\u672c\u538b\u529b\u3002<\/li>\n<li>\u5584\u7528\u8f7b\u91cf\u5316\u6280\u672f&#xff1a;\u8bad\u7ec3\u5b8c\u6210\u540e\u901a\u8fc7\u526a\u679d\u3001\u91cf\u5316\u7b49\u65b9\u5f0f\u9002\u914d\u8fb9\u7f18\u90e8\u7f72\u3002<\/li>\n<p>\u65e0\u8bba\u4f60\u662f\u4e2a\u4eba\u5f00\u53d1\u8005\u8fd8\u662f\u4f01\u4e1a\u6280\u672f\u8d1f\u8d23\u4eba&#xff0c;\u53ea\u8981\u9075\u5faa\u201c\u6a21\u578b\u9a71\u52a8\u3001\u6309\u9700\u914d\u7f6e\u3001\u7559\u6709\u4f59\u5730\u201d\u7684\u539f\u5219&#xff0c;\u5c31\u80fd\u4e3aYOLO26\u6784\u5efa\u4e00\u4e2a\u9ad8\u6548\u7a33\u5b9a\u7684\u8fd0\u884c\u73af\u5883\u3002<\/p>\n<hr \/>\n<p>\u83b7\u53d6\u66f4\u591aAI\u955c\u50cf<\/p>\n<p>\u60f3\u63a2\u7d22\u66f4\u591aAI\u955c\u50cf\u548c\u5e94\u7528\u573a\u666f&#xff1f;\u8bbf\u95ee CSDN\u661f\u56fe\u955c\u50cf\u5e7f\u573a&#xff0c;\u63d0\u4f9b\u4e30\u5bcc\u7684\u9884\u7f6e\u955c\u50cf&#xff0c;\u8986\u76d6\u5927\u6a21\u578b\u63a8\u7406\u3001\u56fe\u50cf\u751f\u6210\u3001\u89c6\u9891\u751f\u6210\u3001\u6a21\u578b\u5fae\u8c03\u7b49\u591a\u4e2a\u9886\u57df&#xff0c;\u652f\u6301\u4e00\u952e\u90e8\u7f72\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>YOLO26\u670d\u52a1\u5668\u9009\u578b\u5efa\u8bae&#xff1a;GPU\u5185\u5b58\u4e0e\u7b97\u529b\u5339\u914d\u6307\u5357<br 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