{"id":17160,"date":"2026-11-05T23:11:10","date_gmt":"2026-11-05T15:11:10","guid":{"rendered":"https:\/\/dguan.com.cn\/eqiguan\/product\/mtt-e300\/"},"modified":"2026-11-05T23:11:11","modified_gmt":"2026-11-05T15:11:11","slug":"mtt-e300","status":"publish","type":"product","link":"https:\/\/dguan.com.cn\/eqiguan\/product\/mtt-e300\/","title":{"rendered":"MTT E300"},"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\n\n\n\n\n\n\n\n\n
\u7aef\u4fa7 vLLM-MUSA \u7528\u6237\u6307\u5357\u6280\u672f\u6587\u6863<\/th>\nvLLM MUSA \u662f\u4e00\u4e2a\u786c\u4ef6\u63d2\u4ef6\uff0c\u4f7f\u5f97 vLLM \u6846\u67b6\u53ef\u4ee5\u65b9\u4fbf\u5feb\u901f\u7684\u5728\u6469\u5c14\u7ebf\u7a0b\u7684 GPU \u4e0a\u8fd0\u884c\uff0c\u800c\u65e0\u9700\u4fb5\u5165\u5f0f\u7684\u53bb\u4fee\u6539 vLLM \u539f\u59cb\u7684\u4ee3\u7801\u3002vLLM MUSA \u91c7\u7528\u6807\u51c6\u5316\u7684\u786c\u4ef6\u62bd\u8c61\u63a5\u53e3\u548c\u52a8\u6001\u6ce8\u518c\u67b6\u6784\uff0c\u5b9e\u73b0\u4e86\u6469\u5c14\u7ebf\u7a0b GPU \u4e0e vLLM \u6846\u67b6\u7684\u89e3\u8026\u96c6\u6210\u3002<\/td>\n<\/tr>\n
MTNN \u5f00\u53d1\u8005\u6307\u5357\u6280\u672f\u6587\u6863<\/th>\nMTNN (Moore Threads Neural Network) \u662f\u4e00\u7ec4\u4e13\u4e3a\u6469\u5c14\u7ebf\u7a0b\u957f\u6c5f SoC \u5e73\u53f0\u8bbe\u8ba1\u7684\u7aef\u4fa7 AI \u63a8\u7406\u5de5\u5177\u94fe\u4e0e\u8fd0\u884c\u65f6\u5e93\u3002\u5b83\u5e2e\u52a9\u5f00\u53d1\u8005\u5c06\u8bad\u7ec3\u597d\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u9ad8\u6548\u90e8\u7f72\u5230 M1000 \u8bbe\u5907\u4e0a\uff0c\u5145\u5206\u53d1\u6325\u5176 NPU \u7684\u786c\u4ef6\u52a0\u901f\u80fd\u529b\uff0c\u5b9e\u73b0\u4f4e\u5ef6\u8fdf\u3001\u9ad8\u80fd\u6548\u7684\u8bbe\u5907\u7aef\u673a\u5668\u5b66\u4e60\u3002<\/td>\n<\/tr>\n
MTStream SDK \u5f00\u53d1\u8005\u624b\u518c\u6280\u672f\u6587\u6863<\/th>\nMTStreamSDK \u662f\u4e13\u4e3a\u6469\u5c14\u7ebf\u7a0b\u957f\u6c5f SoC \u5e73\u53f0\u8bbe\u8ba1\u7684\u9ad8\u6027\u80fd\u591a\u5a92\u4f53\u5904\u7406\u8f6f\u4ef6\u5f00\u53d1\u5305\u3002\u5b83\u901a\u8fc7\u63d2\u4ef6\u7684\u5f62\u5f0f\uff0c\u5c01\u88c5\u4e86\u5e95\u5c42\u786c\u4ef6\u7f16\u89e3\u7801\u5668\u3001\u56fe\u50cf\u5904\u7406\u5355\u5143\u7684\u590d\u6742\u64cd\u4f5c\uff0c\u63d0\u4f9b\u7b80\u5355\u6613\u7528\u7684\u63d2\u4ef6\u3002<\/td>\n<\/tr>\n
\u76f8\u5173\u4ea7\u54c1<\/th>\nMTT AIBOOK AI \u7b97\u529b\u672c\uff0c\u4e3a\u667a\u80fd\u4f53\u800c\u751f AI \u7b97\u529b\u672c\uff0c\u4e3a\u667a\u80fd\u4f53\u800c\u751f\u3002\u642d\u8f7d\u56fd\u4ea7\u5f3a\u82af\uff0c\u652f\u6301\u591a\u7cfb\u7edf\uff0c\u52a9\u529b\u667a\u80fd\u4f53\u6301\u7eed\u8fdb\u5316\u3002 \u67e5\u770b\u8be6\u60c5<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\nMTT E300 \u642d\u8f7d\u6469\u5c14\u7ebf\u7a0b\u81ea\u7814\u201c\u957f\u6c5f\u201d\u667a\u80fd SoC \u82af\u7247\uff0c\u96c6\u6210\u5168\u529f\u80fd GPU\u3001\u5168\u5927\u6838 CPU \u4e0e\u9ad8\u80fd\u6548 NPU \u7b49\u591a\u6838\u5f02\u6784\u8ba1\u7b97\u5355\u5143\uff0c\u63d0\u4f9b\u9ad8\u8fbe 50 TOPS \u7684 INT8 \u7a20\u5bc6\u7b97\u529b\uff0c\u652f\u6301 INT8\/FP16\/FP32\/FP64 \u591a\u79cd\u7cbe\u5ea6\u8ba1\u7b97\uff0c\u53ef\u5728 -20\u00b0C \u81f3 +65\u00b0C \u7684\u5bbd\u6e29\u73af\u5883\u4e0b\u7a33\u5b9a\u8fd0\u884c\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u8be5\u6a21\u7ec4\u517c\u5bb9\u4e3b\u6d41 AI \u6846\u67b6\u4e0e\u5f00\u653e\u751f\u6001\uff0c\u652f\u6301\u7aef\u4e91\u534f\u540c\u4e0e\u8f7b\u91cf\u5316\u90e8\u7f72\uff0c\u5e76\u914d\u5957\u5168\u6808\u5de5\u5177\u94fe\uff0c\u65e8\u5728\u4e3a\u5404\u884c\u4e1a\u63d0\u4f9b\u9ad8\u7b97\u529b\u3001\u4f4e\u5ef6\u8fdf\u3001\u5f3a\u53ef\u9760\u7684\u56fd\u4ea7\u5316 AI \u89e3\u51b3\u65b9\u6848\uff0c\u52a0\u901f\u8fb9\u7f18\u667a\u80fd\u5e94\u7528\u843d\u5730\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u9ad8\u89c4\u683c\u5f02\u6784\u7b97\u529b\uff0c\u652f\u6301 INT8\/FP16\/FP32\/FP64 \u7cbe\u5ea6\u8ba1\u7b97<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u63d0\u4f9b\u9ad8\u8fbe 50 TOPS \u7684 INT8 \u7a20\u5bc6\u7b97\u529b\uff0c\u5e76\u652f\u6301 FP16\/FP32\/FP64 \u7b49\u591a\u7cbe\u5ea6\u8ba1\u7b97<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u5e7f\u6cdb\u8986\u76d6\u901a\u7528\u8ba1\u7b97\u3001AI \u8ba1\u7b97\u3001\u56fe\u5f62\u6e32\u67d3\u3001\u9ad8\u6027\u80fd\u8ba1\u7b97\u3001\u79d1\u5b66\u8ba1\u7b97\u3001\u89c6\u9891\u7f16\u89e3\u7801\u4ee5\u53ca\u52a0\u5bc6\u8ba1\u7b97\u7b49\u573a\u666f<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u91c7\u7528 LPDDR5X \u7edf\u4e00\u5185\u5b58\uff0c\u5185\u5b58\u5e26\u5bbd\u9ad8\u8fbe 136GB\/s\uff0c\u6700\u9ad8\u652f\u6301 64GB \u5bb9\u91cf<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\nMTT E300 \u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u4e86\u4ece\u5e95\u5c42\u64cd\u4f5c\u7cfb\u7edf\u3001\u9a71\u52a8\u7a0b\u5e8f\u3001SDK\uff0c\u5230\u4e0a\u5c42 AI \u8ba1\u7b97\u3001\u56fe\u5f62\u6e32\u67d3\u3001\u89c6\u9891\u7f16\u89e3\u7801\u53ca\u9ad8\u6027\u80fd\u8ba1\u7b97\u7684\u5b8c\u6574\u5f00\u53d1\u5957\u4ef6\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u914d\u5408\u4e30\u5bcc\u7684\u793a\u4f8b\u4ee3\u7801\u3001\u53c2\u8003\u7528\u4f8b\u3001\u6700\u4f73\u5b9e\u8df5\u53ca\u6807\u51c6\u5de5\u4f5c\u6d41\uff0c\u53ef\u4e3a\u5d4c\u5165\u5f0f\u8fb9\u7f18\u8ba1\u7b97\u5f00\u53d1\u63d0\u4f9b\u5168\u9762\u3001\u9ad8\u6548\u7684\u8f6f\u4ef6\u652f\u6491\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u5168\u9762\u517c\u5bb9 CUDA \u4e0e\u56fd\u4ea7 MUSA \u751f\u6001\uff0c\u63d0\u4f9b\u4e00\u7ad9\u5f0f\u8fc1\u79fb\u5de5\u5177\u94fe\uff0c\u6700\u5feb\u6570\u5c0f\u65f6\u5185\u5373\u53ef\u5b8c\u6210\u6a21\u578b\u7684\u8de8\u5e73\u53f0\u8fc1\u79fb\u4e0e\u90e8\u7f72\uff0c\u5927\u5e45\u5ea6\u964d\u4f4e\u4e86\u6280\u672f\u9002\u914d\u7684\u6210\u672c\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\nGPU \u63a8\u7406\u652f\u6301 Torch-MUSA \u548c vLLM-MUSA \uff0c\u5e76\u8ba1\u5212\u652f\u6301 Ollama\/llama.cpp \u7b49\u4e3b\u6d41\u63a8\u7406\u6846\u67b6\uff0c\u6ee1\u8db3\u5927\u6a21\u578b\u4e0e\u4f20\u7edf\u6a21\u578b\u7684\u591a\u6837\u5316\u90e8\u7f72\u9700\u6c42\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\nNPU \u63a8\u7406\u6846\u67b6 MTNN \u63d0\u4f9b\u5b8c\u6574\u4ee3\u7801\u53ca\u5f00\u53d1\u5de5\u5177\uff0c\u79ef\u6781\u9002\u914d ONNX RUNTIME\u3001PaddlePaddle\uff0c\u63d0\u4f9b MTStream \u9ad8\u6027\u80fd\u591a\u5a92\u4f53\u5f00\u53d1\u5957\u4ef6\uff0c\u6784\u5efa\u66f4\u5b8c\u6574\u7684\u8f6f\u4ef6\u5f00\u53d1\u652f\u6301\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u57fa\u4e8e MUSA \u7edf\u4e00\u7cfb\u7edf\u67b6\u6784\uff0c\u5b9e\u73b0\u5bf9\u5404\u7c7b\u6a21\u578b\u7684\u9ad8\u6548\u63a8\u7406\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u76ee\u524d\u5df2\u5728 Gitee \u793e\u533a\u5f00\u6e90\u8986\u76d6\u6838\u5fc3\u89c6\u89c9\u573a\u666f\u7684 TOP50 CV \u6a21\u578b\u5e93 ModelZoo\uff0c\u8fdb\u4e00\u6b65\u964d\u4f4e\u6a21\u578b\u9a8c\u8bc1\u4e0e\u843d\u5730\u95e8\u69db\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\nMTT E300 \u91c7\u7528\u6a21\u5757\u5316\u786c\u4ef6\u8bbe\u8ba1\uff0c\u652f\u6301\u5d4c\u5165\u5f0f\u5f00\u53d1\u3001\u8c03\u4f18\u4e0e\u96c6\u6210\uff0c\u53ef\u7075\u6d3b\u90e8\u7f72\u4e3a\u591a\u79cd\u72ec\u7acb\u8bbe\u5907\u5f62\u6001\uff0c\u5168\u9762\u6ee1\u8db3\u4e0d\u540c\u884c\u4e1a\u5728\u7b97\u6cd5\u3001\u5e94\u7528\u3001\u5de5\u4f5c\u6d41\u3001\u7b97\u529b\u3001\u529f\u8017\u3001\u4ea7\u54c1\u5f62\u6001\u53ca\u5c3a\u5bf8\u7b49\u65b9\u9762\u7684\u5dee\u5f02\u5316\u9700\u6c42\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u9762\u5411\u590d\u6742\u573a\u666f\uff0c\u6253\u9020\u8f6f\u786c\u4e00\u4f53\u3001\u7aef\u8fb9\u4e91\u534f\u540c\u7684\u5168\u9762\u89e3\u51b3\u65b9\u6848\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u5728\u63d0\u4f9b\u9ad8\u53ef\u9760\u786c\u4ef6\u7684\u57fa\u7840\u4e0a\uff0c\u914d\u5957\u6301\u7eed\u8fed\u4ee3\u7684\u5e73\u53f0\u5316\u8f6f\u4ef6\u3001\u5de5\u5177\u94fe\u4e0e\u53c2\u8003\u8bbe\u8ba1\uff0c\u5e76\u901a\u8fc7\u4e0d\u65ad\u4f18\u5316\u7684\u672c\u5730\u63a8\u7406\u6846\u67b6\u3001\u7f16\u8bd1\u5668\u53ca\u5e95\u5c42\u7b97\u5b50\uff0c\u786e\u4fdd\u6a21\u578b\u63a8\u7406\u6027\u80fd\u4e0e\u7cfb\u7edf\u843d\u5730\u6548\u7387\u7684\u6301\u7eed\u8dc3\u5347\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\nvLLM MUSA \u662f\u4e00\u4e2a\u786c\u4ef6\u63d2\u4ef6\uff0c\u4f7f\u5f97 vLLM \u6846\u67b6\u53ef\u4ee5\u65b9\u4fbf\u5feb\u901f\u7684\u5728\u6469\u5c14\u7ebf\u7a0b\u7684 GPU \u4e0a\u8fd0\u884c\uff0c\u800c\u65e0\u9700\u4fb5\u5165\u5f0f\u7684\u53bb\u4fee\u6539 vLLM \u539f\u59cb\u7684\u4ee3\u7801\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\nvLLM MUSA \u91c7\u7528\u6807\u51c6\u5316\u7684\u786c\u4ef6\u62bd\u8c61\u63a5\u53e3\u548c\u52a8\u6001\u6ce8\u518c\u67b6\u6784\uff0c\u5b9e\u73b0\u4e86\u6469\u5c14\u7ebf\u7a0b GPU \u4e0e vLLM \u6846\u67b6\u7684\u89e3\u8026\u96c6\u6210\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\nMTNN (Moore Threads Neural Network) \u662f\u4e00\u7ec4\u4e13\u4e3a\u6469\u5c14\u7ebf\u7a0b\u957f\u6c5f SoC \u5e73\u53f0\u8bbe\u8ba1\u7684\u7aef\u4fa7 AI \u63a8\u7406\u5de5\u5177\u94fe\u4e0e\u8fd0\u884c\u65f6\u5e93\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u5b83\u5e2e\u52a9\u5f00\u53d1\u8005\u5c06\u8bad\u7ec3\u597d\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u9ad8\u6548\u90e8\u7f72\u5230 M1000 \u8bbe\u5907\u4e0a\uff0c\u5145\u5206\u53d1\u6325\u5176 NPU \u7684\u786c\u4ef6\u52a0\u901f\u80fd\u529b\uff0c\u5b9e\u73b0\u4f4e\u5ef6\u8fdf\u3001\u9ad8\u80fd\u6548\u7684\u8bbe\u5907\u7aef\u673a\u5668\u5b66\u4e60\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\nMTStreamSDK \u662f\u4e13\u4e3a\u6469\u5c14\u7ebf\u7a0b\u957f\u6c5f SoC \u5e73\u53f0\u8bbe\u8ba1\u7684\u9ad8\u6027\u80fd\u591a\u5a92\u4f53\u5904\u7406\u8f6f\u4ef6\u5f00\u53d1\u5305\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\n\u5b83\u901a\u8fc7\u63d2\u4ef6\u7684\u5f62\u5f0f\uff0c\u5c01\u88c5\u4e86\u5e95\u5c42\u786c\u4ef6\u7f16\u89e3\u7801\u5668\u3001\u56fe\u50cf\u5904\u7406\u5355\u5143\u7684\u590d\u6742\u64cd\u4f5c\uff0c\u63d0\u4f9b\u7b80\u5355\u6613\u7528\u7684\u63d2\u4ef6\u3002<\/td>\n<\/tr>\n
\u4ea7\u54c1\u80fd\u529b<\/th>\nAI \u7b97\u529b\u672c\uff0c\u4e3a\u667a\u80fd\u4f53\u800c\u751f\u3002\u642d\u8f7d\u56fd\u4ea7\u5f3a\u82af\uff0c\u652f\u6301\u591a\u7cfb\u7edf\uff0c\u52a9\u529b\u667a\u80fd\u4f53\u6301\u7eed\u8fdb\u5316\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
\u4ea7\u54c1\u7279\u6027<\/th>\n\u89e3\u51b3\u65b9\u6848 \u5168\u90e8\u89e3\u51b3\u65b9\u6848 \u4eba\u5de5\u667a\u80fd \u4e91\u4e0e\u6570\u636e\u4e2d\u5fc3 \u9ad8\u6027\u80fd\u6e32\u67d3 \u89c6\u9891\u52a0\u901f \u4eba\u5de5\u667a\u80fd \u878d\u5408\u667a\u7b97\u4e2d\u5fc3 DigitalME \u6570\u5b57\u4eba AI Reality AI \u63a8\u7406 \u4e91\u4e0e\u6570\u636e\u4e2d\u5fc3 \u4e91\u7535\u8111 \u9ad8\u6027\u80fd\u6e32\u67d3 \u6570\u5b57\u5b6a\u751f\u4e0e GIS \u5de5\u4e1a\u8bbe\u8ba1\u4e0e\u5236\u9020 \u89c6\u9891\u52a0\u901f \u5e7f\u64ad\u4e0e\u4e13\u4e1a\u97f3\u89c6\u9891 \u89c6\u9891\u4f1a\u8bae<\/td>\n<\/tr>\n
\u4ea7\u54c1\u7279\u6027<\/th>\n\u4f53\u9a8c\u4e2d\u5fc3 \u5927\u6a21\u578b\u4f53\u9a8c MetaPark<\/td>\n<\/tr>\n
\u4ea7\u54c1\u7279\u6027<\/th>\n\u8f6f\u4ef6\u4e0b\u8f7d \u4ea7\u54c1\u9a71\u52a8 MUSA \u8f6f\u4ef6 AI \u955c\u50cf<\/td>\n<\/tr>\n
\u4ea7\u54c1\u7279\u6027<\/th>\n\u5f00\u53d1\u8005 \u6469\u5c14\u5b66\u9662 \u5f00\u53d1\u8005\u793e\u533a \u6280\u672f\u535a\u5ba2 \u6280\u672f\u6587\u6863<\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

\u7aef\u4fa7 vLLM-MUSA \u7528\u6237\u6307\u5357\u6280\u672f\u6587\u6863<\/p>\n","protected":false},"featured_media":17161,"comment_status":"open","ping_status":"closed","template":"","product_cat":[221],"brand":[217],"class_list":["post-17160","product","type-product","status-publish","has-post-thumbnail","hentry","product_cat-ai-","brand-217"],"acf":[],"_links":{"self":[{"href":"https:\/\/dguan.com.cn\/eqiguan\/wp-json\/wp\/v2\/product\/17160","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dguan.com.cn\/eqiguan\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/dguan.com.cn\/eqiguan\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/dguan.com.cn\/eqiguan\/wp-json\/wp\/v2\/comments?post=17160"}],"version-history":[{"count":1,"href":"https:\/\/dguan.com.cn\/eqiguan\/wp-json\/wp\/v2\/product\/17160\/revisions"}],"predecessor-version":[{"id":17162,"href":"https:\/\/dguan.com.cn\/eqiguan\/wp-json\/wp\/v2\/product\/17160\/revisions\/17162"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dguan.com.cn\/eqiguan\/wp-json\/wp\/v2\/media\/17161"}],"wp:attachment":[{"href":"https:\/\/dguan.com.cn\/eqiguan\/wp-json\/wp\/v2\/media?parent=17160"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/dguan.com.cn\/eqiguan\/wp-json\/wp\/v2\/product_cat?post=17160"},{"taxonomy":"brand","embeddable":true,"href":"https:\/\/dguan.com.cn\/eqiguan\/wp-json\/wp\/v2\/brand?post=17160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}