\u6700\u4f4e\u786c\u9ad4\u8981\u6c42<\/h3>\n

\u4f60\u9700\u8981\u5148\u6aa2\u67e5\u4f3a\u670d\u5668\u7684\u6700\u4f4e\u8981\u6c42\u3002Kimi K3 \u662f\u4e00\u500b\u9ad4\u91cf\u9f90\u5927\u7684\u6a21\u578b\u3002\u5176\u539f\u59cb\u4e0b\u8f09\u5927\u5c0f\u7d04\u70ba 1.4 TB\u3002\u4f60\u5fc5\u9808\u5177\u5099\u8db3\u5920\u7684\u5132\u5b58\u7a7a\u9593\u4f86\u5bb9\u7d0d\u6a21\u578b\u6a94\u6848\u3002K3 \u9084\u9700\u8981\u7531\u591a\u5f35 GPU \u7d44\u6210\u7684\u53e2\u96c6\u4f86\u5b8c\u6210\u63a8\u8ad6\u3002\u5b98\u65b9\u4e26\u672a\u516c\u5e03\u6700\u4f4e GPU \u6578\u91cf\uff0c\u4f46\u4f60\u61c9\u9810\u671f\u9700\u8981\u4f7f\u7528\u5927\u91cf\u52a0\u901f\u5361\u3002\u9019\u4e9b\u6a21\u578b\u901a\u5e38\u9084\u9700\u8981 GPU \u4e4b\u9593\u5177\u5099\u9ad8\u901f\u4e92\u9023\uff0c\u4ee5\u652f\u63f4\u5feb\u901f\u63a8\u8ad6\u8207\u5b89\u5168\u6027\u9700\u6c42\u3002\u4f60\u9084\u5fc5\u9808\u70ba\u591a\u6a21\u614b\u63a8\u8ad6\u5e36\u4f86\u7684\u58d3\u529b\u505a\u597d\u6e96\u5099\uff0c\u56e0\u70ba\u5b83\u6703\u9032\u4e00\u6b65\u52a0\u91cd\u786c\u9ad4\u8ca0\u8f09\u3002<\/p>\n

\u4e0b\u9762\u662f Kimi K3 \u4f3a\u670d\u5668\u6700\u4f4e\u786c\u9ad4\u8981\u6c42\u7684\u5feb\u901f\u6982\u89bd\uff1a<\/p>\n

\n\n\n\n\n <\/colgroup>\n\n\n\n\n\n\n\n

\n \u898f\u683c<\/p>\n<\/th>\n	\n \u8aaa\u660e<\/p>\n<\/th>\n<\/tr>\n
\n \u5efa\u8b70 GPU \u6578\u91cf<\/p>\n<\/td>\n	\n 64 \u5f35\u6216\u66f4\u591a\u52a0\u901f\u5361<\/p>\n<\/td>\n<\/tr>\n
\n \u6700\u4f4e GPU \u6578\u91cf<\/p>\n<\/td>\n	\n \u672a\u516c\u5e03<\/p>\n<\/td>\n<\/tr>\n
\n GPU \u7e3d\u986f\u793a\u8a18\u61b6\u9ad4<\/p>\n<\/td>\n	\n \u672a\u8aaa\u660e<\/p>\n<\/td>\n<\/tr>\n
\n \u6a21\u578b\u4e0b\u8f09\u5927\u5c0f<\/p>\n<\/td>\n	\n \u539f\u59cb\u8cc7\u6599\u7d04 1.4 TB<\/p>\n<\/td>\n<\/tr>\n
\n \u53c3\u6578\u7e3d\u91cf<\/p>\n<\/td>\n	\n 2.8 \u5146\u53c3\u6578<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \n \u63d0\u793a\uff1a<\/strong>\u4f60\u61c9\u59cb\u7d42\u70ba\u5132\u5b58\u8207\u8a18\u61b6\u9ad4\u9810\u7559\u984d\u5916\u9918\u91cf\u3002\u6a21\u578b\u5728\u63a8\u8ad6\u904e\u7a0b\u4e2d\uff0c\u5f80\u5f80\u9084\u9700\u8981\u66f4\u591a\u7a7a\u9593\u4f86\u5b58\u653e\u63a8\u8ad6\u65e5\u8a8c\u8207\u5b89\u5168\u5099\u4efd\u3002<\/p>\n<\/blockquote>\n \u5efa\u8b70\u786c\u9ad4\u914d\u7f6e<\/h3>\n \u5982\u679c\u4f60\u60f3\u7372\u5f97\u6700\u4f73\u6548\u80fd\u548c\u66f4\u9ad8\u7684\u5b89\u5168\u6027\uff0c\u5c31\u5fc5\u9808\u4f7f\u7528\u4f01\u696d\u7d1a\u786c\u9ad4\u3002K3 \u5728\u5f37\u5927 GPU \u8207\u9ad8\u901f\u4e92\u9023\u74b0\u5883\u4e0b\u8868\u73fe\u6700\u4f73\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u57fa\u65bc NVIDIA GPU \u7684\u65b9\u6848\uff0c\u4e5f\u53ef\u4ee5\u4f7f\u7528 Apple Mac\u3002\u5efa\u8b70\u914d\u7f6e\u5c07\u6709\u52a9\u65bc\u4f60\u7372\u5f97\u66f4\u9ad8\u7684\u63a8\u8ad6\u901f\u5ea6\uff0c\u4e26\u7dad\u6301\u66f4\u597d\u7684\u5b89\u5168\u6027\u3002<\/p>\n \u4f60\u9084\u5fc5\u9808\u8003\u616e\u53e2\u96c6\u898f\u6a21\u3002Kimi K3 \u63a8\u8ad6\u5728\u81f3\u5c11 16 \u5f35 GPU \u7684\u914d\u7f6e\u4e0b\u6548\u679c\u6700\u4f73\u3002\u4f01\u696d\u7d1a\u786c\u9ad4\u548c\u7d93\u9a57\u8c50\u5bcc\u7684\u7dad\u904b\u4eba\u54e1\u4e5f\u6709\u52a9\u65bc\u63d0\u5347\u5b89\u5168\u6027\u3002\u5728\u90e8\u7f72 K3 \u4e4b\u524d\uff0c\u4f60\u61c9\u59cb\u7d42\u6aa2\u67e5\u786c\u9ad4\u7684\u76f8\u5bb9\u6027\u8207\u5b89\u5168\u6027\u3002<\/p>\n \n \u6ce8\u610f\uff1a<\/strong>\u9019\u662f\u5b58\u53d6\u63a7\u5236\u8207\u5b89\u5168\u4fdd\u969c\u6240\u5fc5\u9700\u7684\u4e00\u6b65\u3002\u4f3a\u670d\u5668\u7684\u90e8\u7f72\u8207\u7dad\u8b77\u5fc5\u9808\u7531\u5177\u5099\u5c08\u696d\u6280\u80fd\u7684\u4eba\u54e1\u8ca0\u8cac\u3002<\/p>\n<\/blockquote>\n Python \u8207\u8edf\u9ad4\u74b0\u5883<\/h3>\n \u4f60\u5fc5\u9808\u70ba Kimi K3 \u5b89\u88dd\u6b63\u78ba\u7684\u8edf\u9ad4\u74b0\u5883\u3002K3 \u6a21\u578b\u4f9d\u8cf4 Python \u9032\u884c\u63a8\u8ad6\u548c\u7ba1\u7406\u3002\u4f60\u61c9\u4f7f\u7528\u6700\u65b0\u7684\u7a69\u5b9a\u7248 Python\uff0c\u901a\u5e38\u70ba Python 3.10 \u6216\u66f4\u9ad8\u7248\u672c\u3002Kimi K3 \u9084\u9700\u8981 CUDA \u9a45\u52d5\u7a0b\u5f0f\u4ee5\u53ca\u6df1\u5ea6\u5b78\u7fd2\u51fd\u5f0f\u5eab\u4f86\u652f\u63f4 GPU \u63a8\u8ad6\u3002\u4f60\u5fc5\u9808\u4fdd\u6301\u8edf\u9ad4\u8655\u65bc\u6700\u65b0\u72c0\u614b\uff0c\u4ee5\u78ba\u4fdd\u5b89\u5168\u6027\u8207\u6548\u80fd\u3002<\/p>\n \n \n \u5b89\u88dd Python 3.10 \u6216\u66f4\u9ad8\u7248\u672c\u3002<\/p>\n<\/li>\n \n \u70ba GPU \u63a8\u8ad6\u914d\u7f6e CUDA \u548c cuDNN\u3002<\/p>\n<\/li>\n \n \u4f7f\u7528 PyTorch \u6216 TensorFlow \u9032\u884c\u63a8\u8ad6\u3002<\/p>\n<\/li>\n \n \u66f4\u65b0\u6240\u6709\u9a45\u52d5\u7a0b\u5f0f\u548c\u51fd\u5f0f\u5eab\uff0c\u4ee5\u63d0\u5347\u5b89\u5168\u6027\u3002<\/p>\n<\/li>\n \n \u6aa2\u67e5\u8207\u4f60\u7684\u4f5c\u696d\u7cfb\u7d71\u662f\u5426\u76f8\u5bb9\u3002<\/p>\n<\/li>\n<\/ul>\n \n \u5b89\u5168\u8b66\u793a\uff1a<\/strong>\u4f60\u5fc5\u9808\u59cb\u7d42\u66f4\u65b0\u8edf\u9ad4\u548c\u9a45\u52d5\u7a0b\u5f0f\u3002\u904e\u6642\u7684\u8edf\u9ad4\u53ef\u80fd\u6703\u5c0e\u81f4\u63a8\u8ad6\u932f\u8aa4\u548c\u5b89\u5168\u98a8\u96aa\u3002<\/p>\n<\/blockquote>\n \u4f60\u5fc5\u9808\u9075\u5faa\u9019\u4e9b Kimi K3 \u4f3a\u670d\u5668\u8981\u6c42\uff0c\u624d\u80fd\u78ba\u4fdd\u63a8\u8ad6\u6d41\u7a0b\u9806\u66a2\u4e26\u5177\u5099\u7a69\u56fa\u7684\u5b89\u5168\u6027\u3002\u5c08\u696d\u4eba\u54e1\u5c07\u5e6b\u52a9\u4f60\u7ba1\u7406 K3 \u6240\u9700\u7684\u786c\u9ad4\u8207\u8edf\u9ad4\u3002\u5728\u958b\u59cb\u63a8\u8ad6\u4e4b\u524d\uff0c\u4f60\u61c9\u59cb\u7d42\u6aa2\u67e5\u81ea\u5df1\u7684\u6574\u9ad4\u74b0\u5883\u914d\u7f6e\u3002<\/p>\n Kimi K3 \u6a21\u578b\u67b6\u69cb<\/strong><\/h2>\n \u70ba\u4ec0\u9ebc\u786c\u9ad4\u81f3\u95dc\u91cd\u8981<\/h3>\n \u5728\u90e8\u7f72 Kimi K3 \u6642\uff0c\u4f60\u6703\u9762\u81e8\u7368\u7279\u7684\u6311\u6230\u3002\u8a72\u6a21\u578b\u4ee5 2.8 \u5146\u53c3\u6578\u898f\u6a21\u548c\u591a\u6a21\u614b\u80fd\u529b\u800c\u986f\u5f97\u8207\u773e\u4e0d\u540c\u3002\u5b83\u63a1\u7528\u958b\u653e\u6b0a\u91cd\u8a2d\u8a08\uff0c\u9019\u610f\u5473\u8457\u4f60\u53ef\u4ee5\u5b58\u53d6\u4e26\u4fee\u6539\u6a21\u578b\uff0c\u4ee5\u9069\u914d\u4e0d\u540c\u4efb\u52d9\u3002K3 \u7684\u8d85\u5927\u898f\u6a21\u5c0d\u786c\u9ad4\u63d0\u51fa\u4e86\u6975\u9ad8\u8981\u6c42\u3002\u4f60\u9700\u8981\u5927\u5bb9\u91cf GPU \u986f\u793a\u8a18\u61b6\u9ad4\u8207\u9ad8\u901f\u4e92\u9023\uff0c\u624d\u80fd\u627f\u8f09\u5176\u8907\u96dc\u6027\u3002Kimi K3 \u4f9d\u8cf4\u9ad8\u6548\u7684\u6ce8\u610f\u529b\u6a5f\u5236\u548c\u5c08\u5bb6\u555f\u52d5\u7b56\u7565\u3002\u9019\u4e9b\u7279\u6027\u90fd\u9700\u8981\u5927\u91cf\u8a08\u7b97\u8cc7\u6e90\u3002\u82e5\u8981\u5be6\u73fe\u6700\u4f73\u63a8\u8ad6\u6548\u7387\uff0c\u4f60\u5fc5\u9808\u63a1\u7528\u64c1\u6709 64 \u5f35\u6216\u66f4\u591a\u52a0\u901f\u5361\u7684\u8d85\u7d1a\u7bc0\u9ede\u914d\u7f6e\u3002<\/p>\n Kimi K3 \u7684\u67b6\u69cb\u6703\u5c07\u786c\u9ad4\u63a8\u5411\u6975\u9650\u3002\u9ad8\u986f\u793a\u8a18\u61b6\u9ad4\u4e4b\u6240\u4ee5\u95dc\u9375\uff0c\u662f\u56e0\u70ba\u8a72\u6a21\u578b\u63a1\u7528\u4e86 Mixture-of-Experts\uff08\u5c08\u5bb6\u6df7\u5408\uff09\u7cfb\u7d71\u3002\u9019\u500b\u7cfb\u7d71\u8ca0\u8cac\u5728\u773e\u591a\u5c08\u5bb6\u4e4b\u9593\u9032\u884c token \u7684\u8def\u7531\u8207\u8655\u7406\u3002\u5b83\u9084\u652f\u63f4\u9577\u9054\u4e00\u767e\u842c token \u7684\u8d85\u9577\u4e0a\u4e0b\u6587\u8996\u7a97\u3002\u4f60\u5fc5\u9808\u4e00\u6b21\u6027\u5132\u5b58\u4e26\u8655\u7406\u6d77\u91cf\u8cc7\u8a0a\u3002K3 \u7684\u9019\u4e9b\u7279\u6027\u9032\u4e00\u6b65\u63d0\u9ad8\u4e86\u8a18\u61b6\u9ad4\u9700\u6c42\uff0c\u4e5f\u6703\u5c0d\u4f60\u7684\u786c\u9ad4\u9020\u6210\u66f4\u5927\u58d3\u529b\u3002<\/p>\n \n \u6ce8\u610f\uff1a<\/strong>Kimi K3 \u63a1\u7528\u4e86\u91cf\u5316\u611f\u77e5\u8a13\u7df4\u3002\u9019\u7a2e\u65b9\u6cd5\u63d0\u9ad8\u4e86\u786c\u9ad4\u76f8\u5bb9\u6027\uff0c\u4e26\u964d\u4f4e\u4e86\u8a18\u61b6\u9ad4\u5360\u7528\u3002\u4f60\u53ef\u4ee5\u5c07\u6a21\u578b\u90e8\u7f72\u5230\u66f4\u5ee3\u6cdb\u7684\u7cfb\u7d71\u4e0a\uff0c\u4f46\u82e5\u60f3\u7372\u5f97\u6700\u4f73\u6548\u679c\uff0c\u4ecd\u7136\u9700\u8981\u5f37\u5927\u7684 GPU\u3002<\/p>\n<\/blockquote>\n \u95dc\u9375\u7d44\u6210\u90e8\u5206<\/h3>\n \u70ba\u4e86\u505a\u597d\u786c\u9ad4\u6e96\u5099\uff0c\u4f60\u5fc5\u9808\u7406\u89e3\u8a72\u6a21\u578b\u7684\u6838\u5fc3\u7d44\u6210\u3002\u6a21\u578b\u5305\u62ec\uff1a<\/p>\n \n \n \u8d85\u5927\u53c3\u6578\u898f\u6a21\uff082.8T\uff09\uff0c\u7528\u65bc\u8907\u96dc\u6df1\u5ea6\u5b78\u7fd2\u4efb\u52d9\u3002<\/p>\n<\/li>\n \n \u591a\u6a21\u614b\u652f\u63f4\uff0c\u53ef\u8655\u7406\u6587\u5b57\u3001\u5716\u50cf\u53ca\u5176\u4ed6\u8cc7\u6599\u985e\u578b\u3002<\/p>\n<\/li>\n \n \u958b\u653e\u6b0a\u91cd\u67b6\u69cb\uff0c\u4fbf\u65bc\u9748\u6d3b\u90e8\u7f72\u3002<\/p>\n<\/li>\n \n Mixture-of-Experts \u7cfb\u7d71\uff0c\u7528\u65bc\u9ad8\u6548\u7684 token \u8def\u7531\u3002<\/p>\n<\/li>\n \n \u91cf\u5316\u611f\u77e5\u8a13\u7df4\uff0c\u4ee5\u63d0\u5347\u786c\u9ad4\u76f8\u5bb9\u6027\u3002<\/p>\n<\/li>\n<\/ul>\n Kimi K3 \u9700\u8981\u9ad8\u6548\u80fd GPU \u52a0\u901f\u8207\u9ad8\u983b\u5bec\u901a\u8a0a\u3002\u4f60\u5fc5\u9808\u4f7f\u7528\u4f01\u696d\u7d1a GPU \u548c\u9ad8\u901f\u4e92\u9023\u3002\u6a21\u578b\u5728\u8d85\u7d1a\u7bc0\u9ede\u53e2\u96c6\u4e2d\u80fd\u7372\u5f97\u66f4\u597d\u7684\u63a8\u8ad6\u901f\u5ea6\u8207\u53ef\u9760\u6027\u3002\u4f60\u9084\u9700\u8981\u5177\u5099\u5c08\u696d\u80fd\u529b\u7684\u4eba\u54e1\u4f86\u8ca0\u8cac K3 \u7684\u90e8\u7f72\u8207\u7dad\u8b77\u3002\u5145\u5206\u6e96\u5099\uff0c\u624d\u80fd\u78ba\u4fdd\u90e8\u7f72\u9806\u5229\u4e14\u5b89\u5168\u7a69\u56fa\u3002<\/p>\n \u786c\u9ad4\u6e96\u5099\u6b65\u9a5f<\/strong><\/h2>\n GPU \u9078\u64c7<\/h3>\n \u4f60\u9700\u8981\u9078\u64c7\u80fd\u5920\u627f\u53d7 K3 \u8ca0\u8f09\u7684 GPU\u3002K3 \u7684\u6a21\u578b\u898f\u6a21\u4ee5\u53ca Kimi K3 \u7684\u8907\u96dc\u6027\u90fd\u8981\u6c42\u4f7f\u7528\u9ad8\u968e\u52a0\u901f\u5361\u3002\u4f60\u61c9\u9078\u64c7\u5177\u6709\u5927\u5bb9\u91cf\u986f\u793a\u8a18\u61b6\u9ad4\u548c\u9ad8\u901f\u4e92\u9023\u80fd\u529b\u7684 GPU\u3002\u8a31\u591a\u4f7f\u7528\u8005\u66f4\u50be\u5411\u65bc\u70ba K3 \u9078\u64c7 NVIDIA A100 \u6216\u540c\u7b49\u7d1a\u4f01\u696d\u7d1a\u986f\u793a\u5361\u3002\u4f60\u9084\u5fc5\u9808\u78ba\u8a8d\u9019\u4e9b GPU \u652f\u63f4\u6700\u65b0\u7684 CUDA \u548c\u6df1\u5ea6\u5b78\u7fd2\u51fd\u5f0f\u5eab\u3002\u5728\u6b63\u5f0f\u57f7\u884c\u4e4b\u524d\uff0c\u8acb\u6309\u4ee5\u4e0b\u6b65\u9a5f\u6e96\u5099\u786c\u9ad4\uff1a<\/p>\n \n \n \u6aa2\u67e5\u4f60\u7684 vLLM \u7248\u672c\u662f\u5426\u652f\u63f4\u50cf K3 \u9019\u6a23\u7684\u5927\u578b Mixture-of-Experts \u6a21\u578b\u3002\u5c07\u76ee\u524d\u7248\u672c\u8207 K3 \u7684\u6a21\u578b\u5361\u9032\u884c\u5c0d\u7167\u3002<\/p>\n<\/li>\n \n \u5efa\u7acb\u7528\u65bc\u9810\u90e8\u7f72\u6e2c\u8a66\u7684\u865b\u64ec\u74b0\u5883\uff1a<\/p>\n python -m venv ~\/vllm-kimi-staging\r\nsource ~\/vllm-kimi-staging\/bin\/activate\r\npip install -U vllm<\/code><\/pre>\n<\/li>\n \n \u70ba bf16 \u5206\u7247\u548c\u5feb\u53d6\u9810\u7559\u8db3\u5920\u7684\u78c1\u789f\u7a7a\u9593\u3002\u53ef\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n df -h<\/code><\/pre>\n<\/li>\n \n \u5982\u679c\u4f60\u9700\u8981\u5b58\u53d6\u53d7\u9650\u7684 Kimi \u5132\u5b58\u5eab\uff0c\u8acb\u767b\u5165 Hugging Face\uff1a<\/p>\n huggingface-cli login<\/code><\/pre>\n<\/li>\n<\/ol>\n \u8a18\u61b6\u9ad4\u8207\u5132\u5b58<\/h3>\n Kimi K3 \u9700\u8981\u5927\u91cf\u8a18\u61b6\u9ad4\u548c\u5132\u5b58\u7a7a\u9593\u3002\u4f60\u5fc5\u9808\u540c\u6642\u70ba\u6a21\u578b\u6a94\u6848\u548c\u984d\u5916\u7684\u63a8\u8ad6\u7a7a\u9593\u505a\u597d\u898f\u5283\u3002\u4e0b\u8868\u5c55\u793a\u4e86\u4e3b\u8981\u8981\u6c42\uff1a<\/p>\n \n\n\n\n\n <\/colgroup>\n\n\n\n\n\n\n\n \n \u8981\u6c42\u9805\u76ee<\/p>\n<\/th>\n \n \u6578\u503c<\/p>\n<\/th>\n<\/tr>\n \n \u53c3\u6578\u7e3d\u91cf<\/p>\n<\/td>\n \n 2.8 \u5146<\/p>\n<\/td>\n<\/tr>\n \n \u7406\u8ad6\u6700\u4f4e\u5132\u5b58\u9700\u6c42<\/p>\n<\/td>\n \n \u7d04 1.49 TB<\/p>\n<\/td>\n<\/tr>\n \n \u63a8\u8ad6\u6240\u9700\u9644\u52a0\u8a18\u61b6\u9ad4<\/p>\n<\/td>\n \n \u8f03\u5927\uff08\u8996\u60c5\u6cc1\u800c\u5b9a\uff09<\/p>\n<\/td>\n<\/tr>\n \n \u5efa\u8b70\u53e2\u96c6\u914d\u7f6e<\/p>\n<\/td>\n \n \u591a\u7bc0\u9ede\u53e2\u96c6<\/p>\n<\/td>\n<\/tr>\n \n \u4e0a\u4e0b\u6587\u8996\u7a97<\/p>\n<\/td>\n \n \u4e00\u767e\u842c token<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \u5728\u555f\u52d5 K3 \u4e4b\u524d\uff0c\u4f60\u61c9\u59cb\u7d42\u6aa2\u67e5\u78c1\u789f\u4f7f\u7528\u60c5\u6cc1\u3002\u6a21\u578b\u901a\u5e38\u9084\u9700\u8981\u984d\u5916\u7a7a\u9593\u4f86\u4fdd\u5b58\u65e5\u8a8c\u8207\u5feb\u53d6\u3002\u591a\u7bc0\u9ede\u53e2\u96c6\u6709\u52a9\u65bc\u5206\u64d4\u8a18\u61b6\u9ad4\u8ca0\u8f09\u4e26\u63d0\u5347\u6548\u80fd\u3002<\/p>\n \u4f9b\u96fb\u8207\u6563\u71b1<\/h3>\n K3 \u786c\u9ad4\u6703\u7522\u751f\u5927\u91cf\u71b1\u91cf\uff0c\u4e26\u6d88\u8017\u5927\u91cf\u96fb\u529b\u3002\u4f60\u5fc5\u9808\u8b93\u7cfb\u7d71\u4fdd\u6301\u6dbc\u723d\u8207\u7a69\u5b9a\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u6700\u4f73\u5be6\u52d9\uff1a<\/p>\n \n \n \u5c07 K3 \u786c\u9ad4\u653e\u7f6e\u5728\u901a\u98a8\u826f\u597d\u7684\u5340\u57df\uff0c\u907f\u514d\u5bc6\u9589\u7a7a\u9593\u3002<\/p>\n<\/li>\n \n \u4f7f\u7528 sudo powermetrics --samplers smc<\/code> \u76e3\u63a7\u6eab\u5ea6\u3002<\/p>\n<\/li>\n \n \u4f7f\u7528\u5916\u90e8\u6563\u71b1\u65b9\u6848\uff0c\u4f8b\u5982\u684c\u4e0a\u578b\u98a8\u6247\u6216\u6563\u71b1\u5e95\u5ea7\u3002<\/p>\n<\/li>\n<\/ul>\n \n \u6ce8\u610f\uff1a\u826f\u597d\u7684\u6563\u71b1\u80fd\u5920\u4fdd\u8b77\u786c\u9ad4\uff0c\u4e26\u4fdd\u6301\u63a8\u8ad6\u904e\u7a0b\u7a69\u5b9a\u3002<\/p>\n<\/blockquote>\n \u4f60\u5fc5\u9808\u8a8d\u771f\u505a\u597d\u786c\u9ad4\u6e96\u5099\u3002\u9019\u4e9b\u6b65\u9a5f\u80fd\u5920\u5e6b\u52a9\u4f60\u907f\u514d\u554f\u984c\uff0c\u4e26\u8b93 K3 \u90e8\u7f72\u7372\u5f97\u6700\u4f73\u6548\u679c\u3002<\/p>\n \u74b0\u5883\u914d\u7f6e<\/strong><\/h2>\n \u4f5c\u696d\u7cfb\u7d71\u76f8\u5bb9\u6027<\/h3>\n \u4f60\u5fc5\u9808\u9078\u64c7\u4e00\u500b\u80fd\u5920\u652f\u6490 Kimi K3 \u8ca0\u8f09\u7684\u4f5c\u696d\u7cfb\u7d71\u3002\u5927\u591a\u6578\u4f7f\u7528\u8005\u6703\u9078\u64c7 Ubuntu \u6216 CentOS \u7b49 Linux \u767c\u884c\u7248\u3002\u9019\u4e9b\u7cfb\u7d71\u80fd\u5920\u8f03\u597d\u5730\u652f\u63f4 GPU \u9a45\u52d5\u7a0b\u5f0f\u548c\u6df1\u5ea6\u5b78\u7fd2\u51fd\u5f0f\u5eab\u3002\u5982\u679c\u4f60\u5728 Apple \u786c\u9ad4\u4e0a\u90e8\u7f72\uff0c\u4e5f\u53ef\u4ee5\u4f7f\u7528 macOS\u3002Windows \u5728 K3 \u5834\u666f\u4e2d\u8f03\u5c11\u898b\uff0c\u4f46\u53ef\u4ee5\u7528\u65bc\u6e2c\u8a66\u3002\u8acb\u78ba\u4fdd\u4f60\u7684\u4f5c\u696d\u7cfb\u7d71\u652f\u63f4 Python 3.10 \u6216\u66f4\u9ad8\u7248\u672c\u3002\u5728\u5b89\u88dd\u4e4b\u524d\uff0c\u4f60\u9084\u61c9\u6aa2\u67e5\u4e26\u5b89\u88dd\u5b89\u5168\u66f4\u65b0\u3002<\/p>\n \n \u63d0\u793a\uff1a\u5c0d\u65bc\u7a69\u5b9a\u7684 Kimi K3 \u90e8\u7f72\uff0c\u5efa\u8b70\u4f7f\u7528 Ubuntu 22.04 LTS\u3002\u9019\u500b\u7248\u672c\u8207\u5927\u591a\u6578 GPU \u9a45\u52d5\u7a0b\u5f0f\u548c\u51fd\u5f0f\u5eab\u90fd\u5177\u6709\u826f\u597d\u76f8\u5bb9\u6027\u3002<\/p>\n<\/blockquote>\n \u9a45\u52d5\u7a0b\u5f0f\u8207\u76f8\u4f9d\u9805<\/h3>\n \u4f60\u9700\u8981\u70ba Kimi K3 \u5b89\u88dd\u6b63\u78ba\u7684\u9a45\u52d5\u7a0b\u5f0f\u548c\u76f8\u4f9d\u9805\u3002GPU \u9a45\u52d5\u7a0b\u5f0f\u662f\u57f7\u884c K3 \u6a21\u578b\u7684\u57fa\u790e\u3002\u5982\u679c\u4f60\u5728 NVIDIA \u786c\u9ad4\u4e0a\u90e8\u7f72\uff0c\u61c9\u4f7f\u7528\u6700\u65b0\u7684 NVIDIA CUDA \u9a45\u52d5\u7a0b\u5f0f\u3002\u5c0d\u65bc Apple \u786c\u9ad4\uff0c\u5247\u61c9\u5b89\u88dd\u6700\u65b0\u7684 macOS \u66f4\u65b0\u3002\u50cf PyTorch \u548c TensorFlow \u9019\u6a23\u7684\u6df1\u5ea6\u5b78\u7fd2\u51fd\u5f0f\u5eab\u80fd\u5920\u652f\u63f4 Kimi K3 \u63a8\u8ad6\u3002\u4f60\u9084\u5fc5\u9808\u5b89\u88dd cuDNN \u4f86\u5be6\u73fe GPU \u52a0\u901f\u3002\u59cb\u7d42\u66f4\u65b0\u9a45\u52d5\u7a0b\u5f0f\u548c\u51fd\u5f0f\u5eab\uff0c\u4ee5\u907f\u514d\u932f\u8aa4\u3002<\/p>\n \u4ee5\u4e0b\u662f\u9a45\u52d5\u7a0b\u5f0f\u8207\u76f8\u4f9d\u9805\u7684\u6aa2\u67e5\u6e05\u55ae\uff1a<\/p>\n \n \n \u5b89\u88dd CUDA Toolkit\uff0812 \u6216\u66f4\u9ad8\u7248\u672c\uff09<\/p>\n<\/li>\n \n \u5b89\u88dd cuDNN \u4ee5\u652f\u63f4 GPU<\/p>\n<\/li>\n \n \u5b89\u88dd Python 3.10 \u6216\u66f4\u9ad8\u7248\u672c<\/p>\n<\/li>\n \n \u5b89\u88dd PyTorch \u6216 TensorFlow<\/p>\n<\/li>\n \n \u66f4\u65b0\u6240\u6709\u9a45\u52d5\u7a0b\u5f0f\u548c\u51fd\u5f0f\u5eab<\/p>\n<\/li>\n<\/ul>\n \n \u5b89\u5168\u8b66\u793a\uff1a\u904e\u6642\u7684\u9a45\u52d5\u7a0b\u5f0f\u53ef\u80fd\u5c0e\u81f4\u63a8\u8ad6\u5931\u6557\u3002\u5728\u57f7\u884c K3 \u4e4b\u524d\uff0c\u8acb\u5148\u66f4\u65b0\u4f60\u7684\u7cfb\u7d71\u3002<\/p>\n<\/blockquote>\n \u7db2\u8def\u914d\u7f6e<\/h3>\n \u4f60\u5fc5\u9808\u70ba Kimi K3 \u90e8\u7f72\u6e96\u5099\u597d\u7db2\u8def\u74b0\u5883\u3002K3 \u6a21\u578b\u8981\u6c42\u7bc0\u9ede\u4e4b\u9593\u5177\u5099\u5feb\u901f\u4e14\u7a69\u5b9a\u7684\u9023\u7dda\u3002\u5c0d\u65bc\u591a\u7bc0\u9ede\u53e2\u96c6\uff0c\u4f60\u61c9\u4f7f\u7528\u9ad8\u901f\u4e59\u592a\u7db2\u8def\u6216 InfiniBand\u3002\u8acb\u4f7f\u7528\u9632\u706b\u7246\u548c\u5b58\u53d6\u63a7\u5236\u4f86\u4fdd\u8b77\u7db2\u8def\u5b89\u5168\u3002Kimi K3 \u7684\u4e0b\u8f09\u91cf\u53ef\u9ad8\u9054 1.4 TB\uff0c\u56e0\u6b64\u4f60\u9700\u8981\u53ef\u9760\u7684\u983b\u5bec\u3002\u5728\u958b\u59cb\u4e0b\u8f09\u4e4b\u524d\uff0c\u4f60\u5fc5\u9808\u5148\u6aa2\u67e5\u7db2\u8def\u901f\u5ea6\u3002\u5c0d\u65bc\u96f2\u7aef\u90e8\u7f72\uff0c\u8acb\u4f7f\u7528\u79c1\u6709\u7db2\u8def\u4f86\u4fdd\u8b77\u8cc7\u6599\u3002<\/p>\n \u4e0b\u9762\u662f\u4e00\u4efd\u7c21\u55ae\u7684\u7db2\u8def\u914d\u7f6e\u8868\uff1a<\/p>\n \n\n\n\n\n <\/colgroup>\n\n\n\n\n\n\n \n \u5143\u4ef6<\/p>\n<\/th>\n \n \u5efa\u8b70\u914d\u7f6e<\/p>\n<\/th>\n<\/tr>\n \n \u53e2\u96c6\u7db2\u8def<\/p>\n<\/td>\n \n InfiniBand \/ \u4e59\u592a\u7db2\u8def<\/p>\n<\/td>\n<\/tr>\n \n \u983b\u5bec<\/p>\n<\/td>\n \n 10 Gbps \u6216\u66f4\u9ad8<\/p>\n<\/td>\n<\/tr>\n \n \u5b89\u5168\u63aa\u65bd<\/p>\n<\/td>\n \n \u9632\u706b\u7246\u3001VPN<\/p>\n<\/td>\n<\/tr>\n \n \u4e0b\u8f09\u901f\u5ea6<\/p>\n<\/td>\n \n \u6700\u4f4e 1 Gbps<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \n \u6ce8\u610f\uff1a\u5f37\u5065\u7684\u7db2\u8def\u80fd\u5920\u8b93\u63a8\u8ad6\u904e\u7a0b\u66f4\u7a69\u5b9a\u3001\u66f4\u5b89\u5168\u3002\u5728\u90e8\u7f72 K3 \u4e4b\u524d\uff0c\u8acb\u5148\u6e2c\u8a66\u4f60\u7684\u7db2\u8def\u74b0\u5883\u3002<\/p>\n<\/blockquote>\n Kimi K3 \u7684\u90e8\u7f72\u60c5\u5883<\/strong><\/h2>\n \u8cc7\u6599\u4e2d\u5fc3\u8207\u96f2\u7aef<\/h3>\n \u4f60\u53ef\u4ee5\u5728\u8cc7\u6599\u4e2d\u5fc3\u90e8\u7f72 Kimi K3\uff0c\u4e5f\u53ef\u4ee5\u4f7f\u7528 K3 \u96f2\u7aef\u670d\u52d9\u3002\u8cc7\u6599\u4e2d\u5fc3\u80fd\u5920\u63d0\u4f9b\u5f37\u5927\u7684\u57fa\u790e\u8a2d\u65bd\u548c\u9ad8\u901f\u7db2\u8def\u3002\u4f60\u53ef\u4ee5\u7372\u5f97\u4f01\u696d\u7d1a GPU \u548c\u53ef\u9760\u4f9b\u96fb\u3002K3 \u96f2\u7aef\u5e73\u53f0\u5247\u5141\u8a31\u4f60\u6309\u5c0f\u6642\u79df\u7528 GPU\u3002\u4f60\u53ef\u4ee5\u5728\u9700\u8981\u6642\u5feb\u901f\u555f\u7528 A100 \u7bc0\u9ede\u3002\u9019\u7a2e\u65b9\u5f0f\u975e\u5e38\u9069\u5408\u7a81\u767c\u6027\u5de5\u4f5c\u8ca0\u8f09\uff0c\u4ee5\u53ca\u5e0c\u671b\u907f\u514d\u524d\u671f\u8cc7\u672c\u652f\u51fa\u7684\u5718\u968a\u3002Kimi K3 \u96f2\u7aef\u670d\u52d9\u80fd\u5920\u7c21\u5316\u64f4\u5145\u8207\u7dad\u8b77\u3002\u4f60\u53ea\u9700\u70ba\u5be6\u969b\u4f7f\u7528\u91cf\u4ed8\u8cbb\uff0c\u4e26\u5728\u63a8\u8ad6\u5b8c\u6210\u5f8c\u91cb\u653e\u8cc7\u6e90\u3002\u8a31\u591a\u5718\u968a\u6703\u5148\u5f9e K3 \u96f2\u7aef\u958b\u59cb\u8a55\u4f30\u6548\u80fd\uff0c\u518d\u6c7a\u5b9a\u662f\u5426\u63a1\u8cfc\u81ea\u6709\u786c\u9ad4\u3002<\/p>\n \n \u63d0\u793a\uff1aK3 \u96f2\u7aef\u90e8\u7f72\u53ef\u4ee5\u7e2e\u77ed\u5efa\u7f6e\u6642\u9593\uff0c\u4e26\u63d0\u4f9b\u66f4\u9ad8\u9748\u6d3b\u6027\u3002\u4f60\u53ef\u4ee5\u5148\u6e2c\u8a66\u6a21\u578b\uff0c\u800c\u7121\u9700\u8cfc\u8cb7\u6602\u8cb4\u8a2d\u5099\u3002<\/p>\n<\/blockquote>\n \u672c\u5730\u81ea\u5efa\u53e2\u96c6<\/h3>\n \u672c\u5730\u81ea\u5efa\u53e2\u96c6\u8b93\u4f60\u80fd\u5920\u5b8c\u5168\u638c\u63a7\u81ea\u5df1\u7684 Kimi K3 \u74b0\u5883\u3002\u4f60\u53ef\u4ee5\u642d\u5efa\u7531\u591a\u5f35 GPU \u7d44\u6210\u7684\u53e2\u96c6\uff0c\u4e26\u81ea\u884c\u7ba1\u7406\u7db2\u8def\u3002\u9019\u7a2e\u8def\u7dda\u9069\u5408\u5c0d\u96b1\u79c1\u6709\u56b4\u683c\u8981\u6c42\uff0c\u6216\u9700\u8981\u81ea\u8a02\u5de5\u4f5c\u6d41\u7a0b\u7684\u7d44\u7e54\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u7d71\u4e00\u8a18\u61b6\u9ad4\u5de5\u4f5c\u7ad9\uff0c\u6216\u8005\u50cf NVIDIA RTX 6000 Ada \u9019\u6a23\u7684\u5c08\u696d\u986f\u793a\u5361\u3002\u672c\u5730\u53e2\u96c6\u9700\u8981\u5c08\u696d\u4eba\u54e1\u9032\u884c\u90e8\u7f72\u8207\u7dad\u8b77\u3002\u4f60\u5fc5\u9808\u76e3\u63a7\u4f9b\u96fb\u3001\u6563\u71b1\u548c\u5b89\u5168\u6027\u3002Kimi K3 \u5728\u5177\u6709\u9ad8\u901f\u4e92\u9023\u548c\u9ad8\u986f\u793a\u8a18\u61b6\u9ad4\u7684\u53e2\u96c6\u4e2d\u57f7\u884c\u6548\u679c\u6700\u4f73\u3002<\/p>\n \n \n \u4f60\u53ef\u4ee5\u5b8c\u5168\u638c\u63a7\u786c\u9ad4\u74b0\u5883\u3002<\/p>\n<\/li>\n \n \u4f60\u5fc5\u9808\u81ea\u884c\u8655\u7406\u5347\u7d1a\u548c\u6545\u969c\u6392\u9664\u3002<\/p>\n<\/li>\n \n 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\u8207\u5176\u4ed6\u5927\u578b\u6a21\u578b\u4e0d\u540c\uff1f<\/h3>\n \u4f60\u9762\u5c0d\u7684\u662f\u4e00\u500b\u64c1\u6709 2.8 \u5146\u53c3\u6578\u7684\u6a21\u578b\u3002Kimi K3 \u63a1\u7528 Mixture-of-Experts \u7cfb\u7d71\uff0c\u4e26\u652f\u63f4\u591a\u6a21\u614b\u8cc7\u6599\u3002\u4f60\u9084\u53ef\u4ee5\u4ee5\u958b\u653e\u6b0a\u91cd\u65b9\u5f0f\u90e8\u7f72\u5b83\uff0c\u9019\u70ba\u7814\u7a76\u548c\u81ea\u8a02\u4efb\u52d9\u63d0\u4f9b\u4e86\u66f4\u9ad8\u9748\u6d3b\u6027\u3002<\/p>\n \u53ef\u4ee5\u5728\u55ae\u53f0\u5de5\u4f5c\u7ad9\u4e0a\u57f7\u884c Kimi K3 \u55ce\uff1f<\/h3>\n \u8981\u5b8c\u6574\u90e8\u7f72 Kimi K3\uff0c\u4f60\u9700\u8981\u4f7f\u7528\u53e2\u96c6\u3002\u55ae\u53f0\u5de5\u4f5c\u7ad9\u7121\u6cd5\u627f\u8f09\u5176\u8a18\u61b6\u9ad4\u548c GPU \u9700\u6c42\u3002\u5982\u679c\u53ea\u662f\u6e2c\u8a66\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u8f03\u5c0f\u7684 Kimi \u6a21\u578b\uff0c\u6216\u8005\u5148\u900f\u904e\u96f2\u7aef\u670d\u52d9\u9032\u884c\u9a57\u8b49\uff0c\u518d\u9010\u6b65\u64f4\u5c55\u3002<\/p>\n \u5982\u4f55\u66f4\u65b0 Kimi K3 \u4ee5\u7372\u5f97\u66f4\u597d\u7684\u6548\u80fd\uff1f<\/h3>\n \u4f60\u61c9\u7d93\u5e38\u66f4\u65b0 GPU \u9a45\u52d5\u7a0b\u5f0f\u548c\u6df1\u5ea6\u5b78\u7fd2\u51fd\u5f0f\u5eab\u3002\u4f60\u4e5f\u53ef\u4ee5\u5207\u63db\u5230\u91cf\u5316\u7248 Kimi \u6a21\u578b\uff0c\u4ee5\u7372\u5f97\u66f4\u5feb\u7684\u63a8\u8ad6\u901f\u5ea6\u3002\u5b9a\u671f\u5347\u7d1a\u6709\u52a9\u65bc\u8b93 K3 \u57f7\u884c\u5f97\u66f4\u9806\u66a2\u3001\u66f4\u5b89\u5168\u3002<\/p>\n \u662f\u5426\u53ef\u4ee5\u5c07 Kimi K3 \u7528\u65bc\u79c1\u6709\u8cc7\u6599\uff1f<\/h3>\n \u4f60\u53ef\u4ee5\u5728\u81ea\u5df1\u7684\u786c\u9ad4\u4e0a\u81ea\u884c\u8a17\u7ba1 Kimi K3\u3002\u9019\u6a23\u505a\u53ef\u4ee5\u8b93\u4f60\u638c\u63a7\u8cc7\u6599\u96b1\u79c1\u548c\u5b89\u5168\u6027\u3002\u4e0d\u904e\uff0c\u4f60\u5fc5\u9808\u6e96\u5099\u597d\u76f8\u61c9\u53e2\u96c6\uff0c\u4e26\u5b89\u6392\u5177\u5099\u5c08\u696d\u80fd\u529b\u7684\u4eba\u54e1\u8ca0\u8cac\u7ba1\u7406\u90e8\u7f72\u3002<\/p>\n \u5982\u679c Kimi K3 \u7121\u6cd5\u555f\u52d5\uff0c\u61c9\u8a72\u600e\u9ebc\u8fa6\uff1f<\/h3>\n \u4f60\u61c9\u6aa2\u67e5\u786c\u9ad4\u898f\u683c\u3001GPU \u9a45\u52d5\u7a0b\u5f0f\u4ee5\u53ca Python \u7248\u672c\u3002\u78ba\u8a8d\u81ea\u5df1\u7b26\u5408 K3 \u7684\u5168\u90e8\u8981\u6c42\u3002\u4f60\u9084\u53ef\u4ee5\u5148\u7528\u8f03\u5c0f\u7684 Kimi \u6a21\u578b\u6e2c\u8a66\u74b0\u5883\uff0c\u4ee5\u4fbf\u66f4\u5feb\u5b9a\u4f4d\u4e26\u89e3\u6c7a\u554f\u984c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":" \u4f60\u53ef\u80fd\u6703\u60f3\uff0c\u57f7\u884c Kimi K3 \u9700\u8981\u4ec0\u9ebc\u6a23\u7684\u786c\u9ad4\u3002Kimi K3 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