{"id":17200,"date":"2026-11-05T23:11:25","date_gmt":"2026-11-05T15:11:25","guid":{"rendered":"https:\/\/dguan.com.cn\/eqiguan\/product\/kuae-training-suite\/"},"modified":"2026-11-05T23:11:27","modified_gmt":"2026-11-05T15:11:27","slug":"kuae-training-suite","status":"publish","type":"product","link":"https:\/\/dguan.com.cn\/eqiguan\/product\/kuae-training-suite\/","title":{"rendered":"KUAE Training Suite"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u6469\u5c14\u7ebf\u7a0b AI \u8bad\u7ec3\u5957\u4ef6<\/th>\n\u6469\u5c14\u7ebf\u7a0b AI \u8bad\u7ec3\u5957\u4ef6\u5305\u542b\u4e86\u8bad\u7ec3\u6846\u67b6\u3001AI \u6846\u67b6\u548c\u8bad\u7ec3\u8f85\u52a9\u5de5\u5177\uff0c\u8986\u76d6\u5927\u6a21\u578b\u9884\u8bad\u7ec3\u548c\u540e\u8bad\u7ec3\u5168\u8fc7\u7a0b\u3002<\/td>\n<\/tr>\n
\u5206\u5e03\u5f0f\u8bad\u7ec3\u6846\u67b6\u4e0e\u5de5\u5177<\/th>\n\u901a\u8fc7\u8ba1\u7b97\u548c\u901a\u4fe1\u91cd\u53e0\u3001\u8bad\u7ec3\u7a7a\u6ce1\u538b\u7f29\u3001\u5f15\u5165 FP8 \u7b49\u6280\u672f\u5927\u5e45\u63d0\u5347\u6027\u80fd\uff1b\u501f\u52a9\u81ea\u52a8\u5e76\u884c\u7b56\u7565\uff0c\u667a\u80fd\u5bfb\u627e\u6700\u4f18\u5e76\u884c\u65b9\u6848\u3002\u5185\u7f6e\u8bad\u7ec3\u8f85\u52a9\u5de5\u5177\u5728\u8bad\u7ec3\u524d\u8fdb\u884c\u6027\u80fd\u9884\u6d4b\uff0c\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u5b9e\u65f6\u76d1\u63a7\u5e76\u81ea\u52a8\u5904\u7406\u5f02\u5e38\uff0c\u786e\u4fdd\u8bad\u7ec3\u8fc7\u7a0b\u5e73\u7a33\u9ad8\u6548\u3002<\/td>\n<\/tr>\n
Torch-MUSA<\/th>\n\u57fa\u4e8e PyTorch \u6269\u5c55\u7684 Python \u5305\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7 Torch-MUSA \u5145\u5206\u53d1\u6325\u6469\u5c14\u7ebf\u7a0b\u5168\u529f\u80fd GPU \u7684\u5f3a\u5927\u6027\u80fd\u3002Torch-MUSA \u5b9e\u73b0\u4e86\u5bf9 CUDA \u7684\u517c\u5bb9\uff0c\u5927\u5e45\u964d\u4f4e\u4e86\u9002\u914d\u65b0\u7b97\u5b50\u7684\u5de5\u4f5c\u91cf\uff0c\u7b80\u5316\u4e86\u5f00\u53d1\u6d41\u7a0b\u3002Torch-MUSA API \u5728\u683c\u5f0f\u4e0a\u4e0e PyTorch \u4e00\u81f4\uff0c\u8ba9\u719f\u6089 PyTorch \u7684\u7528\u6237\u53ef\u4ee5\u5e73\u6ed1\u8fc1\u79fb\u5230 Torch-MUSA\u3002Torch-MUSA \u8fd8\u63d0\u4f9b\u4e86\u4e00\u7ec4\u5de5\u5177\u5305\uff0c\u52a9\u529b\u7528\u6237\u8f7b\u677e\u8fdb\u884c CUDA \u79fb\u690d\u3001\u6784\u5efa MUSA \u6269\u5c55\u548c\u8c03\u8bd5\u3002<\/td>\n<\/tr>\n
\u76f8\u5173\u4ea7\u54c1<\/th>\nMTT KUAE \u6469\u5c14\u7ebf\u7a0b\u667a\u7b97\u4e2d\u5fc3\u5168\u6808\u89e3\u51b3\u65b9\u6848 \u57fa\u4e8e\u5927\u6a21\u578b\u667a\u7b97\u52a0\u901f\u5361\u548c AI \u5927\u6a21\u578b\u8bad\u63a8\u4e00\u4f53\u673a\uff0c\u4ee5\u4e00\u4f53\u5316\u4ea4\u4ed8\u7684\u65b9\u5f0f\u89e3\u51b3\u5927\u89c4\u6a21 GPU \u7b97\u529b\u7684\u5efa\u8bbe\u548c\u8fd0\u8425\u7ba1\u7406\u95ee\u9898\u3002 \u67e5\u770b\u8be6\u60c5<\/td>\n<\/tr>\n
\u76f8\u5173\u4ea7\u54c1<\/th>\nMTT SGX5000 AI \u5927\u6a21\u578b\u8bad\u63a8\u4e00\u4f53\u673a \u57fa\u4e8e\u5927\u6a21\u578b\u8bad\u7ec3\u96c6\u7fa4\u4e0e\u63a8\u7406\u573a\u666f\u6df1\u5ea6\u4f18\u5316\u7684\u670d\u52a1\u5668\u786c\u4ef6\u7cfb\u7edf\uff0c\u652f\u6301\u4e3b\u6d41\u8f6f\u786c\u4ef6\u751f\u6001\uff0c\u4ee5\u9ad8\u6027\u80fd\u914d\u7f6e\u5168\u9762\u6ee1\u8db3\u5927\u6a21\u578b\u8bad\u63a8\u9700\u6c42\u3002 \u67e5\u770b\u8be6\u60c5<\/td>\n<\/tr>\n
\u76f8\u5173\u4ea7\u54c1<\/th>\nMTT S5000 \u8bad\u63a8\u4e00\u4f53\u5168\u529f\u80fd GPU \u667a\u7b97\u5361 \u9762\u5411\u751f\u6210\u5f0f AI \u65f6\u4ee3\uff0c\u4e13\u4e3a\u5927\u6a21\u578b\u8bad\u7ec3\u3001\u63a8\u7406\u53ca\u9ad8\u6027\u80fd\u8ba1\u7b97\u800c\u751f\u7684\u5168\u529f\u80fd GPU \u667a\u7b97\u5361\u3002\u4e3a\u60a8\u6784\u5efa\u575a\u5b9e\u3001\u6613\u7528\u7684\u56fd\u4ea7\u7b97\u529b\u5e95\u5ea7\u3002 \u67e5\u770b\u8be6\u60c5<\/td>\n<\/tr>\n
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\u4ea7\u54c1\u80fd\u529b<\/th>\n\u901a\u8fc7\u8ba1\u7b97\u548c\u901a\u4fe1\u91cd\u53e0\u3001\u8bad\u7ec3\u7a7a\u6ce1\u538b\u7f29\u3001\u5f15\u5165 FP8 \u7b49\u6280\u672f\u5927\u5e45\u63d0\u5347\u6027\u80fd\uff1b<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u5185\u7f6e\u8bad\u7ec3\u8f85\u52a9\u5de5\u5177\u5728\u8bad\u7ec3\u524d\u8fdb\u884c\u6027\u80fd\u9884\u6d4b\uff0c\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u5b9e\u65f6\u76d1\u63a7\u5e76\u81ea\u52a8\u5904\u7406\u5f02\u5e38\uff0c\u786e\u4fdd\u8bad\u7ec3\u8fc7\u7a0b\u5e73\u7a33\u9ad8\u6548\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u57fa\u4e8e PyTorch \u6269\u5c55\u7684 Python \u5305\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7 Torch-MUSA \u5145\u5206\u53d1\u6325\u6469\u5c14\u7ebf\u7a0b\u5168\u529f\u80fd GPU \u7684\u5f3a\u5927\u6027\u80fd\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\nTorch-MUSA \u5b9e\u73b0\u4e86\u5bf9 CUDA \u7684\u517c\u5bb9\uff0c\u5927\u5e45\u964d\u4f4e\u4e86\u9002\u914d\u65b0\u7b97\u5b50\u7684\u5de5\u4f5c\u91cf\uff0c\u7b80\u5316\u4e86\u5f00\u53d1\u6d41\u7a0b\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\nTorch-MUSA API \u5728\u683c\u5f0f\u4e0a\u4e0e PyTorch \u4e00\u81f4\uff0c\u8ba9\u719f\u6089 PyTorch \u7684\u7528\u6237\u53ef\u4ee5\u5e73\u6ed1\u8fc1\u79fb\u5230 Torch-MUSA\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\nTorch-MUSA \u8fd8\u63d0\u4f9b\u4e86\u4e00\u7ec4\u5de5\u5177\u5305\uff0c\u52a9\u529b\u7528\u6237\u8f7b\u677e\u8fdb\u884c CUDA \u79fb\u690d\u3001\u6784\u5efa MUSA \u6269\u5c55\u548c\u8c03\u8bd5\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u57fa\u4e8e\u5927\u6a21\u578b\u667a\u7b97\u52a0\u901f\u5361\u548c AI \u5927\u6a21\u578b\u8bad\u63a8\u4e00\u4f53\u673a\uff0c\u4ee5\u4e00\u4f53\u5316\u4ea4\u4ed8\u7684\u65b9\u5f0f\u89e3\u51b3\u5927\u89c4\u6a21 GPU \u7b97\u529b\u7684\u5efa\u8bbe\u548c\u8fd0\u8425\u7ba1\u7406\u95ee\u9898\u3002<\/td>\n<\/tr>\n
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\u4ea7\u54c1\u80fd\u529b<\/th>\n\u9762\u5411\u751f\u6210\u5f0f AI \u65f6\u4ee3\uff0c\u4e13\u4e3a\u5927\u6a21\u578b\u8bad\u7ec3\u3001\u63a8\u7406\u53ca\u9ad8\u6027\u80fd\u8ba1\u7b97\u800c\u751f\u7684\u5168\u529f\u80fd GPU \u667a\u7b97\u5361\u3002\u4e3a\u60a8\u6784\u5efa\u575a\u5b9e\u3001\u6613\u7528\u7684\u56fd\u4ea7\u7b97\u529b\u5e95\u5ea7\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u7279\u6027<\/th>\n\u4ea7\u54c1 \u67e5\u770b\u5168\u90e8\u4ea7\u54c1 \u878d\u5408\u667a\u7b97\u4e2d\u5fc3 \u7cfb\u7edf\u4e0e\u8bbe\u5907 \u5168\u529f\u80fd GPU \/ \u663e\u5361 \u8f6f\u4ef6 \u5e94\u7528\u4e0e\u6a21\u578b \u878d\u5408\u667a\u7b97\u4e2d\u5fc3 MTT KUAE \u670d\u52a1\u5668 MTT SGX5000 \u7b97\u529b\u672c\u4e0e\u53f0\u5f0f\u673a MTT AIBOOK MTT AICUBE AI \u6a21\u7ec4 MTT E300 \u667a\u7b97\u4e2d\u5fc3 MTT S5000 MTT S4000 MTT S3000 MTT S2000 \u6e38\u620f\u663e\u5361 MTT S80 MTT S70 \u4e13\u4e1a\u89c6\u89c9\u52a0\u901f\u5361 MTT X300 MTT S50 \u6570\u5b57\u529e\u516c MTT S30 \/ S10 \u57fa\u7840\u8f6f\u4ef6 \u9a71\u52a8\u7a0b\u5e8f MUSA SDK Moore Perf System MUSACODE \u4eba\u5de5\u667a\u80fd AI \u8bad\u7ec3\u5957\u4ef6 AI \u63a8\u7406\u5957\u4ef6 \u4e91\u539f\u751f GPU \u865a\u62df\u5316 \/ vGPU KUAE \u4e91\u539f\u751f\u5957\u4ef6 \u56fe\u5f62\u4e0e\u591a\u5a92\u4f53 PES \u63a7\u5236\u4e2d\u5fc3 Smart Media Engine \u79d1\u5b66\u8ba1\u7b97 \u79d1\u5b66\u8ba1\u7b97\u5957\u4ef6 \u5e94\u7528 \u6469\u7b14\u9a6c\u826f \u6a21\u578b AI \u8bed\u97f3<\/td>\n<\/tr>\n
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\u4ea7\u54c1\u7279\u6027<\/th>\nKUAE Training Suite<\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

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