{"id":9459,"date":"2025-11-05T13:59:35","date_gmt":"2025-11-05T05:59:35","guid":{"rendered":"\/?p=9459"},"modified":"2025-11-05T13:59:35","modified_gmt":"2025-11-05T05:59:35","slug":"ai%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%b2%97%e4%bd%8d%e9%9d%a2%e8%af%95%e9%a2%98%e4%b9%8b%e6%a8%a1%e5%9e%8b%e9%83%a8%e7%bd%b2","status":"publish","type":"post","link":"\/?p=9459","title":{"rendered":"AI\u5927\u6a21\u578b\u5c97\u4f4d\u9762\u8bd5\u9898\u4e4b\u6a21\u578b\u90e8\u7f72"},"content":{"rendered":"<h3>\u57fa\u7840\u6982\u5ff5\u4e0e\u6d41\u7a0b<\/h3>\n<h3><strong>1. \u8bf7\u7b80\u8ff0\u5927\u6a21\u578b\u90e8\u7f72\u7684\u57fa\u672c\u6d41\u7a0b\u548c\u5173\u952e\u8003\u8651\u56e0\u7d20\u3002<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong>\u57fa\u672c\u6d41\u7a0b\u901a\u5e38\u5305\u62ec\uff1a<\/p>\n<ol>\n<li><strong>\u6a21\u578b\u51c6\u5907<\/strong>\uff1a \u83b7\u5f97\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u6743\u91cd\uff08\u5982 PyTorch \u7684 <code>.pt<\/code>\u6216 Hugging Face \u7684\u6a21\u578b\uff09\u3002<\/li>\n<li><strong>\u6a21\u578b\u8f6c\u6362\/\u7f16\u8bd1<\/strong>\uff1a \u5c06\u6846\u67b6\u7279\u5b9a\u6a21\u578b\u8f6c\u6362\u4e3a\u90e8\u7f72\u53cb\u597d\u683c\u5f0f\uff08\u5982 ONNX\uff09\uff0c\u6216\u9488\u5bf9\u7279\u5b9a\u786c\u4ef6\uff08\u5982 NVIDIA GPU\uff09\u8fdb\u884c\u7f16\u8bd1\u4f18\u5316\uff08\u5982\u4f7f\u7528 TensorRT\uff09\u3002<\/li>\n<li><strong>\u63a8\u7406\u670d\u52a1\u5c01\u88c5<\/strong>\uff1a \u5c06\u6a21\u578b\u5d4c\u5165\u5230\u63a8\u7406\u670d\u52a1\u5668\u4e2d\uff08\u5982 Triton Inference Server, TFServing\uff09\uff0c\u5e76\u63d0\u4f9b API\uff08\u901a\u5e38\u662f HTTP\/REST \u6216 gRPC\uff09\u3002<\/li>\n<li><strong>\u8d44\u6e90\u7ba1\u7406\u4e0e\u7f16\u6392<\/strong>\uff1a \u4f7f\u7528\u5bb9\u5668\u5316\uff08Docker\uff09\u548c\u7f16\u6392\u5de5\u5177\uff08Kubernetes\uff09\u6765\u90e8\u7f72\u548c\u7ba1\u7406\u670d\u52a1\u5b9e\u4f8b\u3002<\/li>\n<li><strong>\u76d1\u63a7\u4e0e\u6269\u7f29\u5bb9<\/strong>\uff1a \u5b9e\u65bd\u76d1\u63a7\uff08\u6027\u80fd\u3001\u8d44\u6e90\u5229\u7528\u7387\u3001QPS\uff09\u5e76\u6839\u636e\u8d1f\u8f7d\u81ea\u52a8\u6269\u7f29\u5bb9\u3002<\/li>\n<\/ol>\n<p>\u5173\u952e\u8003\u8651\u56e0\u7d20\uff1a<\/p>\n<ul>\n<li><strong>\u5ef6\u8fdf<\/strong>\uff1a \u5355\u4e2a\u8bf7\u6c42\u7684\u54cd\u5e94\u65f6\u95f4\u3002<\/li>\n<li><strong>\u541e\u5410\u91cf<\/strong>\uff1a \u5355\u4f4d\u65f6\u95f4\u5904\u7406\u7684\u8bf7\u6c42\u6570\u91cf\u3002<\/li>\n<li><strong>\u6210\u672c<\/strong>\uff1a \u786c\u4ef6\uff08GPU\/CPU\uff09\u548c\u4e91\u670d\u52a1\u6210\u672c\u3002<\/li>\n<li><strong>\u786c\u4ef6\u517c\u5bb9\u6027<\/strong>\uff1a GPU (NVIDIA), CPU (x86\/ARM), \u4e13\u7528AI\u82af\u7247\uff08\u5982 AWS Inferentia, Google TPU\uff09\u3002<\/li>\n<li><strong>\u6a21\u578b\u7cbe\u5ea6<\/strong>\uff1a FP32, FP16, INT8 \u7b49\uff0c\u9700\u8981\u5728\u7cbe\u5ea6\u548c\u6027\u80fd\u4e4b\u95f4\u6743\u8861\u3002<\/li>\n<\/ul>\n<h3><strong>2. \u89e3\u91ca\u4e00\u4e0b\u4ec0\u4e48\u662f\u6a21\u578b\u91cf\u5316\uff1f\u5b83\u6709\u54ea\u4e9b\u4e3b\u8981\u7c7b\u578b\u548c\u597d\u5904\uff1f<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong>\u6a21\u578b\u91cf\u5316\u662f\u4e00\u79cd\u5c06\u6a21\u578b\u6743\u91cd\u548c\u6fc0\u6d3b\u503c\u4ece\u9ad8\u7cbe\u5ea6\uff08\u598232\u4f4d\u6d6e\u70b9\u6570\uff0cFP32\uff09\u8f6c\u6362\u4e3a\u4f4e\u7cbe\u5ea6\uff08\u598216\u4f4d\u6d6e\u70b9\u6570FP16\uff0c16\u4f4d\u6574\u6570INT16\uff0c\u62168\u4f4d\u6574\u6570INT8\uff09\u7684\u6280\u672f\u3002<\/p>\n<ul>\n<li><strong>\u4e3b\u8981\u7c7b\u578b<\/strong>\uff1a\n<ul>\n<li><strong>FP16<\/strong>\uff1a \u534a\u7cbe\u5ea6\u6d6e\u70b9\uff0cGPU\uff08\u5c24\u5176\u662fTensor Cores\uff09\u4e0a\u8ba1\u7b97\u6548\u7387\u9ad8\uff0c\u7cbe\u5ea6\u635f\u5931\u6781\u5c0f\u3002<\/li>\n<li><strong>INT8<\/strong>\uff1a 8\u4f4d\u6574\u6570\uff0c\u5927\u5e45\u51cf\u5c11\u6a21\u578b\u5927\u5c0f\u548c\u5185\u5b58\u5360\u7528\uff0c\u9700\u8981<strong>\u6821\u51c6<\/strong>\u6765\u786e\u5b9a\u7f29\u653e\u56e0\u5b50\uff0c\u53ef\u80fd\u5e26\u6765\u4e00\u5b9a\u7cbe\u5ea6\u635f\u5931\u3002<\/li>\n<li><strong>\u91cf\u5316\u611f\u77e5\u8bad\u7ec3<\/strong>\uff1a \u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u6a21\u62df\u91cf\u5316\u884c\u4e3a\uff0c\u8ba9\u6a21\u578b\u9002\u5e94\u4f4e\u7cbe\u5ea6\u8ba1\u7b97\uff0c\u4ece\u800c\u5728\u90e8\u7f72\u65f6\u83b7\u5f97\u66f4\u9ad8\u7684\u7cbe\u5ea6\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u597d\u5904<\/strong>\uff1a\n<ul>\n<li><strong>\u51cf\u5c11\u6a21\u578b\u5927\u5c0f<\/strong>\uff1a INT8 \u6a21\u578b\u5927\u7ea6\u662f FP32 \u7684 1\/4\uff0c\u8282\u7701\u5b58\u50a8\u548c\u4f20\u8f93\u5e26\u5bbd\u3002<\/li>\n<li><strong>\u964d\u4f4e\u5185\u5b58\u5e26\u5bbd\u9700\u6c42<\/strong>\uff1a \u66f4\u5c0f\u7684\u6570\u636e\u4f4d\u5bbd\u610f\u5473\u7740\u5728\u8bfb\u5199\u5185\u5b58\u65f6\u5e26\u5bbd\u538b\u529b\u66f4\u5c0f\u3002<\/li>\n<li><strong>\u52a0\u901f\u8ba1\u7b97<\/strong>\uff1a \u7279\u5b9a\u786c\u4ef6\uff08\u5982 NVIDIA Tensor Cores\uff09\u5bf9\u4f4e\u7cbe\u5ea6\u8ba1\u7b97\u6709\u5de8\u5927\u4f18\u5316\uff0c\u80fd\u663e\u8457\u63d0\u5347\u8ba1\u7b97\u541e\u5410\u91cf\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3><strong>3. \u52a8\u6001\u6279\u5904\u7406\u4e0e\u9759\u6001\u6279\u5904\u7406\u6709\u4ec0\u4e48\u533a\u522b\uff1f\u5206\u522b\u9002\u7528\u4e8e\u4ec0\u4e48\u573a\u666f\uff1f<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong><\/p>\n<p><strong>\u9759\u6001\u6279\u5904\u7406<\/strong>\uff1a \u5728\u6a21\u578b\u542f\u52a8\u524d\u5c31\u56fa\u5b9a\u597d\u6279\u5904\u7406\u5927\u5c0f\u3002\u6240\u6709\u8bf7\u6c42\u90fd\u5fc5\u987b\u586b\u5145\u6216\u622a\u65ad\u5230\u8fd9\u4e2a\u56fa\u5b9a\u5c3a\u5bf8\u3002<\/p>\n<ul>\n<li>\u4f18\u70b9\uff1a \u5b9e\u73b0\u7b80\u5355\uff0c\u63a8\u7406\u5f15\u64ce\u53ef\u4ee5\u9884\u5148\u4f18\u5316\u3002<\/li>\n<li>\u7f3a\u70b9\uff1a \u4e0d\u7075\u6d3b\u3002\u5982\u679c\u8bf7\u6c42\u5927\u5c0f\u4e0d\u4e00\uff0c\u4f1a\u9020\u6210\u8ba1\u7b97\u8d44\u6e90\u6d6a\u8d39\uff08\u586b\u5145\u5bfc\u81f4\uff09\u6216\u4fe1\u606f\u4e22\u5931\uff08\u622a\u65ad\u5bfc\u81f4\uff09\u3002<\/li>\n<\/ul>\n<blockquote>\n<p>\u573a\u666f\uff1a \u8bf7\u6c42\u5c3a\u5bf8\u56fa\u5b9a\u4e14\u5df2\u77e5\u7684\u5e94\u7528\uff08\u5982\u5904\u7406\u56fa\u5b9a\u5927\u5c0f\u7684\u56fe\u50cf\uff09\u3002<\/p>\n<\/blockquote>\n<p><strong>\u52a8\u6001\u6279\u5904\u7406<\/strong>\uff1a \u63a8\u7406\u670d\u52a1\u5668\u6301\u7eed\u63a5\u6536\u8bf7\u6c42\uff0c\u5e76\u5c06\u591a\u4e2a\u8bf7\u6c42\u52a8\u6001\u5730\u7ec4\u5408\u6210\u4e00\u4e2a\u6279\u6b21\u9001\u5165\u6a21\u578b\u8ba1\u7b97\u3002\u5b83\u5141\u8bb8\u6bcf\u4e2a\u8bf7\u6c42\u6709\u4e0d\u540c\u7684\u8f93\u5165\u5c3a\u5bf8\u3002<\/p>\n<ul>\n<li>\u4f18\u70b9\uff1a \u6781\u5927\u63d0\u9ad8\u541e\u5410\u91cf\u548cGPU\u5229\u7528\u7387\uff0c\u5c24\u5176\u9002\u5408\u5904\u7406\u6d41\u5f0f\u3001\u4e0d\u5b9a\u957f\u7684\u8bf7\u6c42\uff08\u5982\u6587\u672c\u751f\u6210\uff09\u3002<\/li>\n<li>\u7f3a\u70b9\uff1a \u5b9e\u73b0\u66f4\u590d\u6742\uff0c\u9700\u8981\u670d\u52a1\u5668\u7aef\u652f\u6301\uff08\u5982NVIDIA Triton\uff09\u3002<\/li>\n<\/ul>\n<blockquote>\n<p>\u573a\u666f\uff1a \u7edd\u5927\u591a\u6570\u5728\u7ebf\u63a8\u7406\u670d\u52a1\uff0c\u7279\u522b\u662f\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u3002<\/p>\n<\/blockquote>\n<h3><strong>4. \u4ec0\u4e48\u662f\u8ba1\u7b97\u56fe\uff1f\u5728\u90e8\u7f72\u65f6\u4e3a\u4ec0\u4e48\u5e38\u9700\u8981\u5c06\u52a8\u6001\u56fe\u8f6c\u6362\u4e3a\u9759\u6001\u56fe\uff1f<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong><\/p>\n<ul>\n<li><strong>\u8ba1\u7b97\u56fe<\/strong>\uff1a \u662f\u63cf\u8ff0\u6a21\u578b\u8ba1\u7b97\u8fc7\u7a0b\u7684\u6570\u636e\u7ed3\u6784\uff0c\u7531\u8282\u70b9\uff08\u8fd0\u7b97\u7b26\uff09\u548c\u8fb9\uff08\u5f20\u91cf\uff09\u7ec4\u6210\u3002<\/li>\n<li><strong>\u52a8\u6001\u56fe<\/strong>\uff1a \u5982 PyTorch \u7684\u9ed8\u8ba4\u6a21\u5f0f\uff0c\u8fb9\u5b9a\u4e49\u8fb9\u6267\u884c\uff0c\u975e\u5e38\u7075\u6d3b\u4fbf\u4e8e\u8c03\u8bd5\u3002<\/li>\n<li><strong>\u9759\u6001\u56fe<\/strong>\uff1a \u5982 TensorFlow 1.x\uff0c\u5148\u5b8c\u6574\u5b9a\u4e49\u6574\u4e2a\u56fe\uff0c\u7136\u540e\u518d\u6267\u884c\u3002<\/li>\n<\/ul>\n<p><strong>\u8f6c\u6362\u539f\u56e0<\/strong>\uff1a<\/p>\n<ol>\n<li><strong>\u6027\u80fd\u4f18\u5316<\/strong>\uff1a \u9759\u6001\u56fe\u5141\u8bb8\u6846\u67b6\u8fdb\u884c\u5168\u5c40\u7684\u4f18\u5316\uff0c\u5982\u7b97\u5b50\u878d\u5408\u3001\u5e38\u91cf\u6298\u53e0\u7b49\uff0c\u51cf\u5c11\u8fd0\u884c\u65f6\u5f00\u9500\u3002<\/li>\n<li><strong>\u8de8\u5e73\u53f0\u90e8\u7f72<\/strong>\uff1a \u9759\u6001\u56fe\u662f\u8de8\u5e73\u53f0\u90e8\u7f72\u7684\u6807\u51c6\u4e2d\u95f4\u8868\u793a\uff08\u5982 ONNX\uff09\uff0c\u53ef\u4ee5\u88ab\u5404\u79cd\u63a8\u7406\u5f15\u64ce\uff08TensorRT, OpenVINO\u7b49\uff09\u8bfb\u53d6\u548c\u6267\u884c\u3002<\/li>\n<li><strong>\u5e8f\u5217\u5316<\/strong>\uff1a \u9759\u6001\u56fe\u53ef\u4ee5\u8f7b\u677e\u5730\u5e8f\u5217\u5316\u5230\u6587\u4ef6\uff0c\u72ec\u7acb\u4e8e\u539f\u59cbPython\u4ee3\u7801\uff0c\u4fbf\u4e8e\u5728\u751f\u4ea7\u73af\u5883\u4e2d\u90e8\u7f72\u3002<\/li>\n<\/ol>\n<h3><strong>5. \u89e3\u91caONNX\u662f\u4ec0\u4e48\u4ee5\u53ca\u5b83\u5728\u90e8\u7f72\u6d41\u6c34\u7ebf\u4e2d\u7684\u4f5c\u7528\u3002<\/strong><\/h3>\n<p><strong>\u7b54\uff1a <\/strong> <strong>ONNX<\/strong> \u662f\u4e00\u79cd\u5f00\u653e\u7684\u683c\u5f0f\uff0c\u7528\u4e8e\u8868\u793a\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002\u5b83\u5b9a\u4e49\u4e86\u4e00\u5957\u53ef\u6269\u5c55\u7684\u8ba1\u7b97\u56fe\u6a21\u578b\u53ca\u5176\u8fd0\u7b97\u7b26\u7684\u6807\u51c6\u3002<\/p>\n<p><img src=\"https:\/\/lemon-guess.oss-cn-hangzhou.aliyuncs.com\/img\/640.jpeg\" alt=\"\u56fe\u7247\" \/><\/p>\n<p><strong>\u4f5c\u7528<\/strong>\uff1a<\/p>\n<ul>\n<li><strong>\u4e92\u64cd\u4f5c\u6027<\/strong>\uff1a \u5145\u5f53\u201c\u4e2d\u95f4\u4eba\u201d\u89d2\u8272\u3002\u4f60\u53ef\u4ee5\u5c06PyTorch, TensorFlow, JAX\u7b49\u6846\u67b6\u8bad\u7ec3\u7684\u6a21\u578b\u8f6c\u6362\u4e3aONNX\u683c\u5f0f\uff0c\u7136\u540e\u4f7f\u7528\u53e6\u4e00\u4e2a\u652f\u6301ONNX\u7684\u63a8\u7406\u5f15\u64ce\uff08\u5982ONNX Runtime, TensorRT, OpenVINO\uff09\u6765\u8fd0\u884c\u5b83\u3002\u5b9e\u73b0\u4e86<strong>\u8bad\u7ec3\u6846\u67b6\u548c\u63a8\u7406\u5f15\u64ce\u7684\u89e3\u8026<\/strong>\u3002<\/li>\n<li><strong>\u6027\u80fd\u4f18\u5316<\/strong>\uff1a \u4e13\u95e8\u7684\u63a8\u7406\u5f15\u64ce\uff08\u5982ONNX Runtime\uff09\u53ef\u4ee5\u5bf9ONNX\u56fe\u8fdb\u884c\u5927\u91cf\u56fe\u4f18\u5316\uff0c\u63d0\u5347\u63a8\u7406\u901f\u5ea6\u3002<\/li>\n<li><strong>\u786c\u4ef6\u9002\u914d<\/strong>\uff1a \u901a\u8fc7\u4e0d\u540c\u7684ONNX Runtime\u6267\u884c\u63d0\u4f9b\u8005\uff0c\u540c\u4e00\u4efdONNX\u6a21\u578b\u53ef\u4ee5\u5728\u4e0d\u540c\u786c\u4ef6\uff08NVIDIA GPU, Intel CPU, ARM\u7b49\uff09\u4e0a\u8fd0\u884c\u3002<\/li>\n<\/ul>\n<h3><strong>6. \u5728GPU\u63a8\u7406\u4e2d\uff0cCUDA\u548cCuDNN\u5206\u522b\u626e\u6f14\u4ec0\u4e48\u89d2\u8272\uff1f<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong><\/p>\n<ul>\n<li><strong>CUDA<\/strong>\uff1a \u662fNVIDIA\u63a8\u51fa\u7684\u901a\u7528\u5e76\u884c\u8ba1\u7b97\u5e73\u53f0\u548c\u7f16\u7a0b\u6a21\u578b\u3002\u5b83\u5141\u8bb8\u5f00\u53d1\u8005\u4f7f\u7528C++\u7b49\u8bed\u8a00\u76f4\u63a5\u5229\u7528NVIDIA GPU\u7684\u5f3a\u5927\u8ba1\u7b97\u80fd\u529b\u3002\u5728\u63a8\u7406\u4e2d\uff0c\u5b83\u63d0\u4f9b\u4e86\u542f\u52a8GPU\u5185\u6838\u3001\u7ba1\u7406\u8bbe\u5907\u5185\u5b58\u7b49\u5e95\u5c42\u57fa\u7840\u3002<\/li>\n<li><strong>CuDNN<\/strong>\uff1a \u662fNVIDIA\u57fa\u4e8eCUDA\u5e73\u53f0\u6253\u9020\u7684\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u52a0\u901f\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u9ad8\u5ea6\u4f18\u5316\u7684\u3001\u9488\u5bf9\u6df1\u5ea6\u5b66\u4e60\u57fa\u672c\u64cd\u4f5c\uff08\u5982\u5377\u79ef\u3001\u6c60\u5316\u3001\u5f52\u4e00\u5316\u3001\u6fc0\u6d3b\u51fd\u6570\uff09\u7684\u5b9e\u73b0\u3002\u5927\u591a\u6570\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff08\u5982PyTorch, TensorFlow\uff09\u5728GPU\u4e0a\u7684\u540e\u7aef\u90fd\u8c03\u7528\u4e86CuDNN\u5e93\u6765\u83b7\u5f97\u6781\u81f4\u7684\u6027\u80fd\u3002<\/li>\n<\/ul>\n<p><strong>\u5173\u7cfb<\/strong>\uff1a CuDNN\u6784\u5efa\u5728CUDA\u4e4b\u4e0a\uff0c\u4e3a\u6df1\u5ea6\u5b66\u4e60\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u3001\u66f4\u4e13\u4e1a\u7684API\u3002<\/p>\n<h3><strong>7. \u8bf7\u5217\u4e3e\u51e0\u4e2a\u5e38\u7528\u7684\u6a21\u578b\u63a8\u7406\u6846\u67b6\/\u670d\u52a1\u5668\uff0c\u5e76\u7b80\u8ff0\u5176\u7279\u70b9\u3002<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong><\/p>\n<ul>\n<li><strong>NVIDIA Triton Inference Server<\/strong>\uff1a \u5f53\u524d\u4e1a\u754c\u6807\u6746\u3002\u652f\u6301\u591a\u79cd\u6846\u67b6\uff08TensorRT, ONNX, PyTorch, TensorFlow\u7b49\uff09\uff0c\u652f\u6301\u52a8\u6001\u6279\u5904\u7406\u3001\u6a21\u578b\u961f\u5217\u3001\u591aGPU\u591a\u8282\u70b9\u90e8\u7f72\uff0c\u529f\u80fd\u6781\u5176\u5f3a\u5927\u3002<\/li>\n<li><strong>TensorFlow Serving<\/strong>\uff1a \u4e13\u4e3a\u90e8\u7f72TensorFlow\u6a21\u578b\u800c\u8bbe\u8ba1\uff0c\u4e0eTF\u751f\u6001\u65e0\u7f1d\u96c6\u6210\u3002<\/li>\n<li><strong>TorchServe<\/strong>\uff1a PyTorch\u5b98\u65b9\u63a8\u51fa\u7684\u670d\u52a1\u6846\u67b6\uff0c\u9002\u5408PyTorch\u6a21\u578b\uff0c\u4f46\u751f\u6001\u548c\u529f\u80fd\u76f8\u6bd4Triton\u7a0d\u5f31\u3002<\/li>\n<li><strong>ONNX Runtime<\/strong>\uff1a \u8f7b\u91cf\u7ea7\u3001\u9ad8\u6027\u80fd\u7684\u63a8\u7406\u5f15\u64ce\uff0c\u5b8c\u7f8e\u652f\u6301ONNX\u6a21\u578b\uff0c\u8de8\u5e73\u53f0\u8de8\u786c\u4ef6\u3002<\/li>\n<li><strong>OpenVINO<\/strong>\uff1a Intel\u63a8\u51fa\u7684\u5de5\u5177\u5305\uff0c\u4e3b\u8981\u7528\u4e8e\u5728Intel\u786c\u4ef6\uff08CPU, GPU, VPU\uff09\u4e0a\u4f18\u5316\u548c\u90e8\u7f72\u6a21\u578b\u3002<\/li>\n<\/ul>\n<h3><strong>8. \u5728Kubernetes\u4e2d\u90e8\u7f72\u6a21\u578b\u670d\u52a1\uff0c\u901a\u5e38\u6d89\u53ca\u54ea\u4e9b\u5173\u952eK8s\u8d44\u6e90\uff1f<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong><\/p>\n<ul>\n<li><strong>Docker\u955c\u50cf<\/strong>\uff1a \u5c06\u6a21\u578b\u3001\u63a8\u7406\u4ee3\u7801\u548c\u4f9d\u8d56\u73af\u5883\u6253\u5305\u6210\u4e00\u4e2a\u5bb9\u5668\u955c\u50cf\u3002<\/li>\n<li><strong>Deployment<\/strong>\uff1a \u5b9a\u4e49Pod\u7684\u526f\u672c\u6570\u3001\u66f4\u65b0\u7b56\u7565\u7b49\uff0c\u7528\u4e8e\u65e0\u72b6\u6001\u670d\u52a1\u7684\u90e8\u7f72\u548c\u6269\u7f29\u5bb9\u3002<\/li>\n<li><strong>Service<\/strong>\uff1a \u4e3a\u4e00\u7ec4Pod\u63d0\u4f9b\u7a33\u5b9a\u7684\u7f51\u7edc\u5165\u53e3\u548c\u8d1f\u8f7d\u5747\u8861\u3002<\/li>\n<li><strong>Horizontal Pod Autoscaler<\/strong>\uff1a \u6839\u636eCPU\/\u5185\u5b58\u4f7f\u7528\u7387\u6216\u81ea\u5b9a\u4e49\u6307\u6807\uff08\u5982QPS\uff09\u81ea\u52a8\u6269\u7f29\u5bb9Deployment\u7684\u526f\u672c\u6570\u3002<\/li>\n<li><strong>ConfigMap \/ Secret<\/strong>\uff1a \u7528\u4e8e\u5b58\u50a8\u914d\u7f6e\u4fe1\u606f\uff08\u5982\u6a21\u578b\u8def\u5f84\uff09\u548c\u654f\u611f\u4fe1\u606f\uff08\u5982API\u5bc6\u94a5\uff09\uff0c\u5e76\u4ee5\u5377\u7684\u5f62\u5f0f\u6302\u8f7d\u5230Pod\u4e2d\u3002<\/li>\n<\/ul>\n<h3><strong>9. \u5982\u4f55\u76d1\u63a7\u4e00\u4e2a\u5df2\u90e8\u7f72\u7684\u6a21\u578b\u670d\u52a1\u7684\u5065\u5eb7\u72b6\u51b5\u548c\u6027\u80fd\uff1f<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong> <strong>\u57fa\u7840\u8bbe\u65bd\u76d1\u63a7<\/strong>\uff1a\u76d1\u63a7Pod\/\u8282\u70b9\u7684CPU\u3001\u5185\u5b58\u3001GPU\u5229\u7528\u7387\uff08\u5982\u4f7f\u7528Prometheus + Grafana\uff09\u3002<\/p>\n<ul>\n<li><strong>\u4e1a\u52a1\u6307\u6807\u76d1\u63a7<\/strong>\uff1a\n<ul>\n<li><strong>\u541e\u5410\u91cf<\/strong>\uff1a QPS\uff08\u6bcf\u79d2\u67e5\u8be2\u6570\uff09\u3002<\/li>\n<li><strong>\u5ef6\u8fdf<\/strong>\uff1a P50, P95, P99\u5206\u4f4d\u7684\u8bf7\u6c42\u5ef6\u8fdf\u3002<\/li>\n<li><strong>\u9519\u8bef\u7387<\/strong>\uff1a HTTP 5xx\u9519\u8bef\u7684\u6570\u91cf\u6216\u6bd4\u4f8b\u3002<\/li>\n<li><strong>\u81ea\u5b9a\u4e49\u6307\u6807\uff1a<\/strong> \u5982\u6a21\u578b\u7684\u8f93\u5165\/\u8f93\u51fa\u5206\u5e03\uff0c\u7528\u4e8e\u68c0\u6d4b\u6570\u636e\u6f02\u79fb\u3002<\/li>\n<li><strong>\u65e5\u5fd7<\/strong>\uff1a \u6536\u96c6\u548c\u5206\u6790\u5e94\u7528\u65e5\u5fd7\uff08\u5982\u4f7f\u7528ELK\/EFK\u6808\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3><strong>10. \u89e3\u91ca\u4e00\u4e0b\u201c\u51b7\u542f\u52a8\u201d\u95ee\u9898\u4ee5\u53ca\u5982\u4f55\u7f13\u89e3\u5b83\u3002<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong><\/p>\n<ul>\n<li><strong>\u51b7\u542f\u52a8<\/strong>\uff1a \u6307\u5f53\u4e00\u4e2a\u6a21\u578b\u670d\u52a1\u5b9e\u4f8b\u4ece\u5b8c\u5168\u505c\u6b62\u72b6\u6001\u5230\u80fd\u591f\u5904\u7406\u7b2c\u4e00\u4e2a\u8bf7\u6c42\u6240\u9700\u7684\u65f6\u95f4\u3002\u8fd9\u4e2a\u8fc7\u7a0b\u5305\u62ec\u52a0\u8f7d\u5bb9\u5668\u955c\u50cf\u3001\u52a0\u8f7d\u6a21\u578b\u5230\u5185\u5b58\/GPU\u3001\u521d\u59cb\u5316\u63a8\u7406\u8fd0\u884c\u65f6\u7b49\uff0c\u8017\u65f6\u53ef\u80fd\u4ece\u51e0\u79d2\u5230\u51e0\u5206\u949f\uff0c\u5bfc\u81f4\u7b2c\u4e00\u4e2a\u8bf7\u6c42\u5ef6\u8fdf\u6781\u9ad8\u3002<\/li>\n<li><strong>\u7f13\u89e3\u65b9\u6848<\/strong>\uff1a\n<ul>\n<li><strong>\u4fdd\u6301\u6700\u5c0f\u526f\u672c\u6570<\/strong>\uff1a \u5728K8s\u4e2d\uff0c\u8bbe\u7f6e<code>Deployment<\/code>\u7684<code>replicas<\/code>\u81f3\u5c11\u4e3a1\uff0c\u786e\u4fdd\u59cb\u7ec8\u6709\u5b9e\u4f8b\u5728\u8fd0\u884c\u3002<\/li>\n<li><strong>\u4f7f\u7528\u66f4\u8f7b\u91cf\u7684\u8fd0\u884c\u65f6<\/strong>\uff1a \u4f18\u5316\u5bb9\u5668\u955c\u50cf\u5927\u5c0f\uff0c\u79fb\u9664\u4e0d\u5fc5\u8981\u7684\u4f9d\u8d56\u3002<\/li>\n<li><strong>\u6a21\u578b\u9884\u52a0\u8f7d<\/strong>\uff1a \u5728\u5bb9\u5668\u542f\u52a8\u811a\u672c\u4e2d\u4e3b\u52a8\u52a0\u8f7d\u6a21\u578b\uff0c\u800c\u4e0d\u662f\u5728\u7b2c\u4e00\u4e2a\u8bf7\u6c42\u65f6\u61d2\u52a0\u8f7d\u3002<\/li>\n<li><strong>\u57fa\u4e8e\u8bf7\u6c42\u9884\u6d4b\u7684\u6269\u5bb9<\/strong>\uff1a \u5728\u9884\u671f\u6d41\u91cf\u589e\u957f\u524d\u63d0\u524d\u6269\u5bb9\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3><strong>\u6df1\u5165\u4f18\u5316\u4e0e\u6280\u672f<\/strong><\/h3>\n<h3><strong>11. \u8bf7\u8be6\u7ec6\u8bf4\u660eNVIDIA TensorRT\u7684\u4f18\u5316\u6d41\u7a0b\u548c\u6838\u5fc3\u4f18\u5316\u6280\u672f\u3002<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong><\/p>\n<p>TensorRT\u662fNVIDIA\u63a8\u51fa\u7684\u9ad8\u6027\u80fd\u6df1\u5ea6\u5b66\u4e60\u63a8\u7406SDK\u548c\u8fd0\u884c\u65f6\u3002\u5176\u4f18\u5316\u6d41\u7a0b\u5982\u4e0b\uff1a<\/p>\n<ol>\n<li><strong>\u5bfc\u5165\u6a21\u578b<\/strong>\uff1a \u4ece\u6846\u67b6\uff08PyTorch\/TF\uff09\u6216ONNX\u5bfc\u5165\u6a21\u578b\u3002<\/li>\n<li><strong>\u8f6c\u6362\u4e0e\u4f18\u5316<\/strong>\uff1a \u5728\u6784\u5efa\u9636\u6bb5\u8fdb\u884c\u4e00\u7cfb\u5217\u56fe\u7ea7\u548c\u5c42\u7ea7\u4f18\u5316\u3002<\/li>\n<li><strong>\u751f\u6210\u5f15\u64ce<\/strong>\uff1a \u751f\u6210\u4e00\u4e2a\u9488\u5bf9\u76ee\u6807GPU\u5e73\u53f0\u9ad8\u5ea6\u4f18\u5316\u7684\u5e8f\u5217\u5316\u6587\u4ef6\uff08plan\u6587\u4ef6\uff09\u3002<\/li>\n<li><strong>\u90e8\u7f72\u63a8\u7406<\/strong>\uff1a \u8fd0\u884c\u65f6\u52a0\u8f7dplan\u6587\u4ef6\u8fdb\u884c\u9ad8\u6548\u63a8\u7406\u3002<\/li>\n<\/ol>\n<p><strong>\u6838\u5fc3\u4f18\u5316\u6280\u672f<\/strong>\uff1a<\/p>\n<ul>\n<li>\n<p><strong>\u5c42\u4e0e\u5f20\u91cf\u878d\u5408<\/strong>\uff1a \u5c06\u591a\u4e2a\u5c42\u5408\u5e76\u4e3a\u4e00\u4e2a\u66f4\u590d\u6742\u7684\u6838\u51fd\u6570\u3002\u4f8b\u5982\uff0c\u5c06\u5377\u79ef\u3001\u504f\u7f6e\u548cReLU\u6fc0\u6d3b\u51fd\u6570\u878d\u5408\u4e3a\u4e00\u4e2a\u5355\u4e00\u64cd\u4f5c\u3002\u8fd9\u51cf\u5c11\u4e86\u5185\u6838\u542f\u52a8\u6b21\u6570\u548c\u5168\u5c40\u5185\u5b58\u7684\u8bbf\u95ee\u6b21\u6570\uff0c\u662f\u63d0\u5347\u6027\u80fd\u7684\u5173\u952e\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7cbe\u5ea6\u6821\u51c6<\/strong>\uff1a \u652f\u6301FP16\u548cINT8\u91cf\u5316\uff0c\u901a\u8fc7\u6821\u51c6\u8fc7\u7a0b\u786e\u5b9a\u7f29\u653e\u56e0\u5b50\uff0c\u5728\u6700\u5927\u9650\u5ea6\u4fdd\u6301\u7cbe\u5ea6\u7684\u524d\u63d0\u4e0b\u63d0\u5347\u901f\u5ea6\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5185\u6838\u81ea\u52a8\u8c03\u4f18<\/strong>\uff1a \u57fa\u4e8e\u76ee\u6807GPU\u7684\u67b6\u6784\uff08SM\u6570\u91cf\u3001\u5185\u5b58\u5e26\u5bbd\u7b49\uff09\uff0c\u4e3a\u6bcf\u4e00\u5c42\u9009\u62e9\u6700\u4f18\u7684\u5185\u6838\u5b9e\u73b0\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u52a8\u6001\u5f20\u91cf\u5185\u5b58<\/strong>\uff1a \u91cd\u7528\u4e2d\u95f4\u5f20\u91cf\u7684\u5185\u5b58\uff0c\u51cf\u5c11\u5185\u5b58\u5360\u7528\u548c\u5206\u914d\u5f00\u9500\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u591a\u6d41\u6267\u884c<\/strong>\uff1a \u9ad8\u6548\u5730\u5e76\u884c\u5904\u7406\u591a\u4e2a\u8f93\u5165\u6d41\u3002<\/p>\n<\/li>\n<\/ul>\n<p><img src=\"https:\/\/lemon-guess.oss-cn-hangzhou.aliyuncs.com\/img\/640-20251105134719137.jpeg\" alt=\"\u56fe\u7247\" \/><\/p>\n<h3><strong>12. \u4ec0\u4e48\u662fKV Cache\uff1f\u5b83\u5728\u81ea\u56de\u5f52\u6a21\u578b\uff08\u5982LLM\uff09\u63a8\u7406\u4e2d\u5982\u4f55\u4f18\u5316\u6027\u80fd\uff1f<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong><\/p>\n<p>\u5728\u751f\u6210\u4efb\u52a1\u4e2d\uff08\u5982GPT\uff09\uff0c\u6a21\u578b\u662f\u81ea\u56de\u5f52\u7684\uff0c\u6bcf\u6b21 forward \u8c03\u7528\u53ea\u751f\u6210\u4e00\u4e2a token\u3002<\/p>\n<ul>\n<li><strong>\u95ee\u9898<\/strong>\uff1a \u5728\u751f\u6210\u7b2c <code>n<\/code>\u4e2a token \u65f6\uff0c\u9700\u8981\u5c06\u524d <code>n-1<\/code>\u4e2a token \u91cd\u65b0\u8f93\u5165\u6a21\u578b\u8ba1\u7b97\uff0c\u8fd9\u5bfc\u81f4\u4e86\u5927\u91cf\u7684\u91cd\u590d\u8ba1\u7b97\u3002<\/li>\n<li><strong>KV Cache<\/strong>\uff1a \u7f13\u5b58\u6bcf\u4e2aTransformer\u89e3\u7801\u5c42\u4e2dAttention\u673a\u5236\u7684Key\u548cValue\u77e9\u9635\u3002\u5728\u751f\u6210\u4e0b\u4e00\u4e2atoken\u65f6\uff0c\u53ea\u9700\u8ba1\u7b97\u5f53\u524d\u65b0token\u7684Q, K, V\uff0c\u5e76\u4e0e\u7f13\u5b58\u4e2d\u4e4b\u524d\u6240\u6709token\u7684K, V\u8fdb\u884cAttention\u8ba1\u7b97\uff0c\u907f\u514d\u4e86\u91cd\u590d\u8ba1\u7b97\u5386\u53f2token\u7684K\u548cV\u3002<\/li>\n<li><strong>\u4f18\u5316\u6548\u679c<\/strong>\uff1a \u6781\u5927\u51cf\u5c11\u4e86\u8ba1\u7b97\u91cf\uff0c\u5c06\u751f\u6210\u8fc7\u7a0b\u7684\u8ba1\u7b97\u590d\u6742\u5ea6\u4ece <code>O(n^2)<\/code>\u964d\u4f4e\u5230 <code>O(n)<\/code>\uff0c\u663e\u8457\u964d\u4f4e\u4e86\u5ef6\u8fdf\u3002\u4f46\u4ee3\u4ef7\u662f\u589e\u52a0\u4e86\u5185\u5b58\u5f00\u9500\uff0c\u7f13\u5b58\u5927\u5c0f\u4e0e\u5e8f\u5217\u957f\u5ea6\u548c\u6279\u6b21\u5927\u5c0f\u6210\u6b63\u6bd4\u3002<\/li>\n<\/ul>\n<h3><strong>13. \u89e3\u91caPagedAttention\u7684\u5de5\u4f5c\u539f\u7406\u53ca\u5176\u89e3\u51b3\u7684\u95ee\u9898\u3002<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong> <strong>PagedAttention<\/strong> \u662f vLLM \u9879\u76ee\u7684\u6838\u5fc3\u521b\u65b0\uff0c\u7075\u611f\u6765\u81ea\u64cd\u4f5c\u7cfb\u7edf\u7684\u865a\u62df\u5185\u5b58\u548c\u5206\u9875\u601d\u60f3\u3002<\/p>\n<ul>\n<li>\n<p><strong>\u95ee\u9898<\/strong>\uff1a \u5728LLM\u63a8\u7406\u4e2d\uff0c\u7531\u4e8eKV Cache\u7684\u5b58\u5728\uff0c\u5185\u5b58\u7ba1\u7406\u6210\u4e3a\u74f6\u9888\u3002\u8bf7\u6c42\u6240\u9700\u7684\u5185\u5b58\u662f\u52a8\u6001\u53d8\u5316\u7684\uff08\u5e8f\u5217\u957f\u5ea6\u4e0d\u786e\u5b9a\uff09\uff0c\u4e14\u7531\u4e8e\u5e76\u884c\u91c7\u6837\u7b49\u539f\u56e0\uff0c\u4e00\u4e2a\u8bf7\u6c42\u53ef\u80fd\u5bf9\u5e94\u591a\u4e2a\u8f93\u51fa\u5e8f\u5217\u3002\u8fd9\u4f1a\u5bfc\u81f4<strong>\u5185\u90e8\u788e\u7247\u5316<\/strong>\u548c<strong>\u5185\u5b58\u6d6a\u8d39<\/strong>\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u89e3\u51b3\u65b9\u6848<\/strong>\uff1a<\/p>\n<ol>\n<li><strong>\u5206\u5757<\/strong>\uff1a \u5c06KV Cache\u5212\u5206\u4e3a\u56fa\u5b9a\u5927\u5c0f\u7684\u5757\uff08Block\uff09\uff0c\u6bcf\u4e2a\u5757\u5305\u542b\u4e00\u5b9a\u6570\u91cftoken\u7684K\u548cV\u6570\u636e\u3002<\/li>\n<li><strong>\u903b\u8f91\u7ba1\u7406<\/strong>\uff1a \u4e3a\u6bcf\u4e2a\u8bf7\u6c42\u7ef4\u62a4\u4e00\u4e2a<strong>\u903b\u8f91\u5757\u8868<\/strong>\uff0c\u8bb0\u5f55\u8be5\u8bf7\u6c42\u7684KV Cache\u5b9e\u9645\u5b58\u50a8\u5728\u54ea\u4e9b\u7269\u7406\u5757\u4e2d\u3002<\/li>\n<li><strong>\u7269\u7406\u7ba1\u7406<\/strong>\uff1a \u7cfb\u7edf\u7ef4\u62a4\u4e00\u4e2a\u5168\u5c40\u7684<strong>\u7269\u7406\u5757\u6c60<\/strong>\u3002\u5f53\u8bf7\u6c42\u9700\u8981\u5206\u914d\u65b0\u7a7a\u95f4\u65f6\uff0c\u5c31\u4ece\u6c60\u4e2d\u5206\u914d\u4e00\u4e2a\u7a7a\u95f2\u5757\u3002<\/li>\n<\/ol>\n<\/li>\n<li>\n<p><strong>\u4f18\u52bf<\/strong>\uff1a<\/p>\n<ul>\n<li>\n<p><strong>\u8fd1\u4e4e\u96f6\u5185\u90e8\u788e\u7247<\/strong>\uff1a \u6309\u5757\u5206\u914d\uff0c\u6d6a\u8d39\u7684\u7a7a\u95f4\u6700\u591a\u53ea\u662f\u4e00\u4e2a\u5757\u7684\u4e00\u5c0f\u90e8\u5206\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u9ad8\u6548\u5185\u5b58\u5171\u4eab<\/strong>\uff1a \u5728\u5e76\u884c\u91c7\u6837\u7b49\u573a\u666f\u4e0b\uff0c\u591a\u4e2a\u8f93\u51fa\u5e8f\u5217\u53ef\u4ee5\u5171\u4eab\u7236\u5e8f\u5217\u7684\u7269\u7406\u5757\uff0c\u53ea\u9700\u5728\u903b\u8f91\u5757\u8868\u4e2d\u5f15\u7528\u5373\u53ef\uff0c\u907f\u514d\u4e86\u7269\u7406\u5185\u5b58\u7684\u91cd\u590d\u5b58\u50a8\u3002<\/p>\n<\/li>\n<li>\n<\/li>\n<li>\n<p><img src=\"https:\/\/lemon-guess.oss-cn-hangzhou.aliyuncs.com\/img\/640-20251105134719155.jpeg\" alt=\"\u56fe\u7247\" \/><\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3><strong>14. \u5728CPU\u4e0a\u90e8\u7f72\u5927\u6a21\u578b\uff0c\u6709\u54ea\u4e9b\u5173\u952e\u7684\u4f18\u5316\u6280\u672f\uff1f<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong><\/p>\n<ul>\n<li><strong>\u91cf\u5316<\/strong>\uff1a INT8\u91cf\u5316\u540c\u6837\u9002\u7528\u4e8eCPU\uff0c\u5e76\u80fd\u5229\u7528Intel\u7684VNNI\u7b49\u6307\u4ee4\u96c6\u52a0\u901f\u3002<\/li>\n<li><strong>\u7b97\u5b50\u4f18\u5316\u4e0e\u786c\u4ef6\u6307\u4ee4\u96c6<\/strong>\uff1a \u4f7f\u7528\u9ad8\u5ea6\u4f18\u5316\u7684\u6570\u5b66\u6838\u51fd\u6570\u5e93\uff08\u5982Intel oneDNN\uff0c formerly MKL-DNN\uff09\uff0c\u8fd9\u4e9b\u5e93\u4f1a\u5229\u7528SSE, AVX2, AVX-512\u7b49SIMD\u6307\u4ee4\u96c6\u6765\u52a0\u901f\u8ba1\u7b97\u3002<\/li>\n<li><strong>\u6a21\u578b\u683c\u5f0f\u8f6c\u6362<\/strong>\uff1a \u4f7f\u7528OpenVINO\u5de5\u5177\u5305\uff0c\u5c06\u6a21\u578b\u8f6c\u6362\u4e3aIR\u683c\u5f0f\uff0c\u5e76\u8fdb\u884c\u56fe\u4f18\u5316\u548c\u786c\u4ef6\u7279\u5b9a\u4f18\u5316\u3002<\/li>\n<li><strong>\u6279\u5904\u7406<\/strong>\uff1a \u540c\u6837\u9002\u7528\uff0c\u901a\u8fc7\u63d0\u9ad8CPU\u7684\u5e76\u884c\u5ea6\u6765\u63d0\u5347\u541e\u5410\u91cf\u3002<\/li>\n<li><strong>\u8fdb\u7a0b\u7ed1\u5b9a<\/strong>\uff1a \u5c06\u63a8\u7406\u8fdb\u7a0b\u7ed1\u5b9a\u5230\u7279\u5b9a\u7684CPU\u6838\u4e0a\uff0c\u51cf\u5c11\u4e0a\u4e0b\u6587\u5207\u6362\u5e26\u6765\u7684\u5f00\u9500\u3002<\/li>\n<\/ul>\n<h3><strong>15. \u5982\u4f55\u89e3\u51b3\u5927\u6a21\u578b\u6743\u91cd\u8fc7\u5927\u5bfc\u81f4\u7684\u52a0\u8f7d\u6162\u548c\u5185\u5b58\u5360\u7528\u9ad8\u7684\u95ee\u9898\uff1f<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong><\/p>\n<ul>\n<li><strong>\u91cf\u5316<\/strong>\uff1a \u6700\u76f4\u63a5\u6709\u6548\u7684\u65b9\u6cd5\uff0cINT8\u6a21\u578b\u5927\u5c0f\u548c\u5185\u5b58\u5360\u7528\u964d\u4e3aFP32\u76841\/4\u3002<\/li>\n<li><strong>\u6a21\u578b\u5206\u7247<\/strong>\uff1a \u5bf9\u4e8e\u591aGPU\u73af\u5883\uff0c\u4f7f\u7528Tensor Parallelism\u6216Pipeline Parallelism\u5c06\u6a21\u578b\u7684\u4e0d\u540c\u90e8\u5206\u5206\u5e03\u5230\u591a\u4e2aGPU\u4e0a\u3002<\/li>\n<li><strong>\u5185\u5b58\u6620\u5c04\u6587\u4ef6<\/strong>\uff1a \u5982Hugging Face\u7684 <code>safetensors<\/code>\u683c\u5f0f\u652f\u6301\u5185\u5b58\u6620\u5c04\uff0c\u5141\u8bb8\u7cfb\u7edf\u6309\u9700\u5c06\u6743\u91cd\u4ece\u78c1\u76d8\u52a0\u8f7d\u5230\u5185\u5b58\uff0c\u800c\u4e0d\u662f\u4e00\u6b21\u6027\u5168\u90e8\u52a0\u8f7d\uff0c\u6781\u5927\u51cf\u5c11\u521d\u59cb\u52a0\u8f7d\u65f6\u95f4\u548c\u5cf0\u503c\u5185\u5b58\u3002<\/li>\n<li><strong>\u5378\u8f7d<\/strong>\uff1a \u5c06\u6682\u65f6\u4e0d\u7528\u7684\u5c42\u6216\u6743\u91cd\u6362\u51fa\u5230CPU\u5185\u5b58\u751a\u81f3\u78c1\u76d8\uff0c\u4f7f\u7528\u65f6\u518d\u6362\u5165\u3002DeepSpeed\u7b49\u6846\u67b6\u652f\u6301\u6b64\u529f\u80fd\u3002<\/li>\n<\/ul>\n<h3><strong>16. \u9664\u4e86\u5ef6\u8fdf\u548c\u541e\u5410\u91cf\uff0c\u8fd8\u6709\u54ea\u4e9b\u6307\u6807\u5bf9\u8861\u91cf\u6a21\u578b\u90e8\u7f72\u6027\u80fd\u81f3\u5173\u91cd\u8981\uff1f<\/strong><\/h3>\n<p><strong>\u7b54\uff1a<\/strong><\/p>\n<ul>\n<li><strong>\u9996Token\u5ef6\u8fdf<\/strong>\uff1a \u5bf9\u4e8e\u6d41\u5f0f\u54cd\u5e94\u5e94\u7528\uff0c\u7528\u6237\u63a5\u6536\u5230\u7b2c\u4e00\u4e2a\u5b57\u7b26\u7684\u65f6\u95f4\u81f3\u5173\u91cd\u8981\u3002<\/li>\n<li><strong>Token\u541e\u5410\u91cf<\/strong>\uff1a \u6bcf\u79d2\u751f\u6210\u7684token\u6570\u91cf\uff0c\u66f4\u80fd\u51c6\u786e\u8861\u91cf\u6587\u672c\u751f\u6210\u670d\u52a1\u7684\u6548\u7387\u3002<\/li>\n<li><strong>\u8d44\u6e90\u5229\u7528\u7387<\/strong>\uff1a GPU\u5229\u7528\u7387\u3001CPU\u5229\u7528\u7387\u3001\u5185\u5b58\u4f7f\u7528\u7387\u3002\u9ad8\u541e\u5410\u91cf\u4f46GPU\u5229\u7528\u7387\u4f4e\u53ef\u80fd\u610f\u5473\u7740\u5b58\u5728\u74f6\u9888\u3002<\/li>\n<li><strong>\u6210\u672c\u6548\u76ca<\/strong>\uff1a \u6bcf1000\u6b21\u8bf7\u6c42\u7684\u6210\u672c\uff08$\/1k tokens\uff09\uff0c\u662f\u5546\u4e1a\u51b3\u7b56\u7684\u5173\u952e\u6307\u6807\u3002<\/li>\n<li><strong>\u53ef\u7528\u6027<\/strong>\uff1a 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