{"id":13461,"date":"2026-06-26T16:00:00","date_gmt":"2026-06-26T08:00:00","guid":{"rendered":"https:\/\/ai-stack.ai\/?p=13461"},"modified":"2026-06-24T10:27:37","modified_gmt":"2026-06-24T02:27:37","slug":"amd-intel-ace-x86-ai-2","status":"publish","type":"post","link":"https:\/\/ai-stack.ai\/zh-hant\/amd-intel-ace-x86-ai-2","title":{"rendered":"AMD \u8207 Intel \u4e16\u7d00\u806f\u624b\uff1aACE \u6307\u4ee4\u96c6\u5982\u4f55\u8b93 x86 AI \u6548\u80fd\u66b4\u589e 16 \u500d\uff1f"},"content":{"rendered":"<style>table{border-collapse:collapse;width:100%;margin:1em 0}th,td{border:1px solid #ddd;padding:8px 12px;text-align:left}th{background-color:#f5f5f5;font-weight:bold}tr:nth-child(even){background-color:#fafafa}<\/style>\n<h1 id=\"amd-\u8207-intel-\u4e16\u7d00\u806f\u624bace-\u6307\u4ee4\u96c6\u5982\u4f55\u8b93-x86-ai-\u6548\u80fd\u66b4\u589e-16-\u500d\">AMD \u8207 Intel \u4e16\u7d00\u806f\u624b\uff1aACE \u6307\u4ee4\u96c6\u5982\u4f55\u8b93 x86 AI \u6548\u80fd\u66b4\u589e 16 \u500d\uff1f<\/h1>\n<p><strong>6\u670820\u65e5\uff0c\u52a0\u5dde\u8056\u514b\u62c9\u62c9\u8a0a<\/strong> \u2014 \u5728 AI \u7b97\u529b\u88ab GPU \u58df\u65b7\u3001ARM \u67b6\u69cb\u6b65\u6b65\u9032\u903c\u7684\u96d9\u91cd\u58d3\u529b\u4e0b\uff0c\u534a\u5c0e\u9ad4\u7522\u696d\u5169\u5927\u5bbf\u6575 AMD \u8207 Intel \u505a\u51fa\u4e86\u6b77\u53f2\u6027\u7684\u56de\u61c9\uff1ax86 \u751f\u614b\u7cfb\u7d71\u8aee\u8a62\u5c0f\u7d44\uff08EAG\uff09\u6b63\u5f0f\u767c\u5e03 ACE\uff08AI Compute Extensions\uff0cAI \u8a08\u7b97\u64f4\u5c55\uff09\u6280\u8853\u898f\u7bc4 v1.15 \u7248\u672c\uff08<a href=\"https:\/\/wccftech.com\/amd-intel-arm-x86-with-ace-matrix-multiply-engines-low-precision-ai-formats-future-cpus\/\" target=\"_blank\" rel=\"noopener\">\u53c3\u898b Wccftech \u5831\u5c0e<\/a>\uff09\uff0c\u70ba x86 \u67b6\u69cb\u5f15\u5165\u539f\u751f\u77e9\u9663\u4e58\u6cd5\u5f15\u64ce\u8207\u4f4e\u7cbe\u5ea6 AI \u8cc7\u6599\u683c\u5f0f\u652f\u63f4\u3002\u9019\u4efd\u7531 8 \u4f4d AMD \u5de5\u7a0b\u5e2b\u8207 3 \u4f4d Intel \u5de5\u7a0b\u5e2b\u5171\u540c\u64b0\u5beb\u7684\u767d\u76ae\u66f8\uff0c\u8072\u7a31\u5728\u76f8\u540c\u8f38\u5165\u5411\u91cf\u6d88\u8017\u4e0b\uff0c\u77e9\u9663\u8a08\u7b97\u5bc6\u5ea6\u53ef\u9054\u73fe\u6709 AVX10 \u6307\u4ee4\u96c6\u7684 <strong>16 \u500d<\/strong>\u3002\u96d6\u7136\u76f8\u5bb9\u77fd\u7247\u9810\u8a08\u8981\u5230 2028 \u5e74\u5de6\u53f3\u624d\u6703\u554f\u4e16\uff0c\u4f46\u6307\u4ee4\u96c6\u6a19\u6e96\u5df2\u7d93\u51cd\u7d50\u2014\u2014\u9019\u610f\u5473\u8457\u8edf\u9ad4\u958b\u767c\u8996\u7a97\u5df2\u7d93\u6253\u958b\uff0cx86 \u9663\u71df\u5c0d AI \u6642\u4ee3\u7684\u53cd\u64ca\u6b63\u5f0f\u958b\u59cb\u3002<\/p>\n<hr \/>\n<h2 id=\"\u4e00\u6578\u5b57\u89e3\u8b8016-\u500d\u7684\u6280\u8853\u5167\u6db5\u8207\u9650\u5236\">\u4e00\u3001\u6578\u5b57\u89e3\u8b80\uff1a16 \u500d\u7684\u6280\u8853\u5167\u6db5\u8207\u9650\u5236<\/h2>\n<p>\u300c16 \u500d\u300d\u9019\u500b\u6578\u5b57\u4f86\u81ea ACE \u8207 AVX10 \u5728\u77e9\u9663\u4e58\u6cd5\u5834\u666f\u4e0b\u7684<strong>\u8a08\u7b97\u5bc6\u5ea6\u5c0d\u6bd4<\/strong>\uff0c\u800c\u975e\u5168\u9762 AI \u6548\u80fd\u63d0\u5347\u3002\u7406\u89e3\u9019\u500b\u6578\u5b57\u7684\u6280\u8853\u908a\u754c\u81f3\u95dc\u91cd\u8981\u3002<\/p>\n<p>ACE \u7684\u6838\u5fc3\u8a2d\u8a08\u57fa\u65bc<strong>\u5916\u7a4d\u904b\u7b97\uff08outer product\uff09\u77e9\u9663\u52a0\u901f\u6a5f\u5236<\/strong>\u3002\u50b3\u7d71 AVX10 \u7b49 SIMD \u64f4\u5c55\u96d6\u7136\u80fd\u8655\u7406\u77e9\u9663\u904b\u7b97\uff0c\u4f46\u672c\u8cea\u4e0a\u662f\u4ee5\u5411\u91cf\u4e58\u52a0\uff08multiply-add\uff09\u65b9\u5f0f\u5b8c\u6210\uff0c\u4e00\u689d\u6307\u4ee4\u5c0d\u61c9\u4e00\u6b21\u4e58\u52a0\u64cd\u4f5c\u3002\u800c ACE \u7684\u8a2d\u8a08\u601d\u8def\u66f4\u63a5\u8fd1 Google TPU \u7684\u8108\u52d5\u9663\u5217\uff08systolic array\uff09\u7406\u5ff5\u2014\u2014\u900f\u904e\u5c08\u7528\u77e9\u9663\u5f15\u64ce\u5728\u55ae\u4e00\u6307\u4ee4\u5167\u5b8c\u6210\u591a\u7dad\u5ea6\u4e58\u7a4d\u7d2f\u52a0\uff0c\u5f9e\u800c\u5927\u5e45\u63d0\u5347\u6bcf\u9031\u671f\u541e\u5410\u91cf\u3002<\/p>\n<p>\u5728\u8cc7\u6599\u683c\u5f0f\u652f\u63f4\u4e0a\uff0cACE \u6db5\u84cb INT8\u3001INT32\u3001FP32\u3001BF16\u3001FP16 \u7b49\u4e3b\u6d41 AI \u7cbe\u5ea6\u683c\u5f0f\uff0c\u9019\u5c0d\u65bc\u63a8\u7406\u5834\u666f\u5c24\u70ba\u95dc\u9375\u2014\u2014INT8 \u91cf\u5316\u63a8\u7406\u5728\u908a\u7de3\u7aef\u548c\u6578\u64da\u4e2d\u5fc3\u90fd\u662f\u964d\u4f4e\u5ef6\u9072\u8207\u529f\u8017\u7684\u6838\u5fc3\u624b\u6bb5\u3002<\/p>\n<p><strong>\u4f46\u5fc5\u9808\u6ce8\u610f\u7684\u662f<\/strong>\uff1a16 \u500d\u50c5\u9650\u65bc\u77e9\u9663\u4e58\u6cd5\u9019\u4e00\u500b\u7b97\u5b50\u5c64\u9762\u3002\u5b8c\u6574\u7684 AI \u63a8\u8ad6\u6d41\u7a0b\u9084\u6d89\u53ca\u5d4c\u5165\u5c64\u67e5\u8a62\u3001\u6ce8\u610f\u529b\u6a5f\u5236\u4e2d\u7684 Softmax\u3001KV-Cache \u7ba1\u7406\u3001\u555f\u7528\u51fd\u6578\u7b49\u8af8\u591a\u975e\u77e9\u9663\u904b\u7b97\u3002ACE \u5c0d\u9019\u4e9b\u74b0\u7bc0\u7684\u52a0\u901f\u6548\u679c\u6709\u9650\uff0c\u5be6\u969b\u7aef\u5230\u7aef\u61c9\u7528\u6548\u80fd\u63d0\u5347\u9810\u8a08\u5728 2\u20135 \u500d\u4e4b\u9593\uff0c\u5177\u9ad4\u53d6\u6c7a\u65bc\u6a21\u578b\u4e2d\u77e9\u9663\u904b\u7b97\u7684\u4f54\u6bd4\u3002<\/p>\n<p>\u6b64\u5916\uff0c\u786c\u9ad4\u5be6\u73fe\u6642\u9593\u7dda\u4e5f\u662f\u95dc\u9375\u9650\u5236\u2014\u2014\u9810\u8a08\u76f8\u5bb9\u8655\u7406\u5668\u8981\u5230 2028 \u5e74\u624d\u80fd\u91cf\u7522\u3002\u5728\u6b64\u4e4b\u524d\uff0cACE \u4e3b\u8981\u50f9\u503c\u5728\u65bc<strong>\u63d0\u524d\u7d71\u4e00\u8edf\u9ad4\u751f\u614b<\/strong>\uff0c\u8b93 PyTorch\u3001TensorFlow\u3001NumPy \u4ee5\u53ca x86 \u9ad8\u6548\u80fd\u8a08\u7b97\uff08HPC\uff09\u5eab\u7684\u7dad\u8b77\u8005\u53ef\u4ee5\u57fa\u65bc\u51cd\u7d50\u6a19\u6e96\u958b\u59cb\u9069\u914d\u3002<\/p>\n<hr \/>\n<h2 id=\"\u4e8c\u80cc\u666f\u6df1\u7a76\u70ba\u4ec0\u9ebc\u5169\u5927\u5bbf\u6575\u6b64\u6642\u9078\u64c7\u806f\u624b\">\u4e8c\u3001\u80cc\u666f\u6df1\u7a76\uff1a\u70ba\u4ec0\u9ebc\u5169\u5927\u5bbf\u6575\u6b64\u6642\u9078\u64c7\u806f\u624b\uff1f<\/h2>\n<p>AMD \u8207 Intel \u7684\u7af6\u722d\u95dc\u4fc2\u9577\u9054\u56db\u5341\u5e74\uff0c\u582a\u7a31\u534a\u5c0e\u9ad4\u53f2\u4e0a\u6700\u7d93\u5178\u7684\u201d\u4e16\u4ec7\u201d\u30022024 \u5e74 10 \u6708\uff0cIntel CEO Pat Gelsinger \u8207 AMD CEO \u8607\u59ff\u4e30\u5728\u806f\u60f3 Tech World \u5927\u6703\u4e0a\u540c\u6846\u5ba3\u5e03\u6210\u7acb EAG \u5c0f\u7d44\uff0c\u88ab\u696d\u754c\u7a31\u70ba\u300c\u4e16\u7d00\u7834\u51b0\u300d\uff08<a href=\"https:\/\/wccftech.com\/amd-intel-ace-partnership-boosts-ai-performance-standard-matrix-acceleration-architecture-for-x86\/\" target=\"_blank\" rel=\"noopener\">\u53c3\u898b Wccftech \u8a73\u7d30\u5206\u6790<\/a>\uff09\u3002<\/p>\n<p><strong>\u63a8\u52d5\u9019\u6b21\u806f\u624b\u7684\uff0c\u662f\u5169\u500b\u65b9\u5411\u7684\u593e\u64ca\u58d3\u529b\u3002<\/strong><\/p>\n<p><strong>\u7b2c\u4e00\u91cd\u58d3\u529b\u4f86\u81ea ARM \u67b6\u69cb\u7684\u5168\u9762\u5165\u4fb5<\/strong>\u3002<a href=\"https:\/\/ai-stack.ai\/zh-hant\/wwdc-2026-apple-siri-ai\/\">\u860b\u679c M \u7cfb\u5217\u6676\u7247<\/a>\u7684\u6210\u529f\u8b49\u660e\u4e86 ARM \u5728\u500b\u4eba\u8a08\u7b97\u9818\u57df\u7684\u53ef\u884c\u6027\uff0c\u4e9e\u99ac\u905c Graviton \u5728\u96f2\u7aef\u4f3a\u670d\u5668\u5e02\u5834\u7684\u5e02\u4f54\u7387\u6301\u7e8c\u6500\u5347\uff0c\u9ad8\u901a Snapdragon X \u7cfb\u5217\u66f4\u662f\u76f4\u63a5\u6253\u5165 Windows PC \u5e02\u5834\u3002\u5fae\u8edf Copilot+ PC \u5c08\u6848\u7684\u63a8\u51fa\uff0c\u66f4\u6a19\u8a8c\u8457 ARM \u751f\u614b\u5f9e\u884c\u52d5\u88dd\u7f6e\u6b63\u5f0f\u9032\u8ecd\u751f\u7522\u529b\u904b\u7b97\u9818\u57df\u3002x86 \u5728\u6578\u64da\u4e2d\u5fc3\u8207 PC \u5169\u5927\u50b3\u7d71\u5821\u58d8\u540c\u6642\u9762\u81e8\u5a01\u8105\u3002<\/p>\n<p><strong>\u7b2c\u4e8c\u91cd\u58d3\u529b\u4f86\u81ea NVIDIA \u7684 AI \u6676\u7247\u9738\u6b0a<\/strong>\u3002NVIDIA \u7684 GPU \u5728 AI \u8a13\u7df4\u548c\u63a8\u7406\u5e02\u5834\u4f54\u6709\u8d85\u904e 80% \u7684\u4efd\u984d\uff0c\u5176 CUDA \u751f\u614b\u7cfb\u7d71\u5e7e\u4e4e\u7b49\u540c\u65bc AI \u958b\u767c\u7684\u4e8b\u5be6\u6a19\u6e96\u3002\u66f4\u95dc\u9375\u7684\u662f\uff0cNVIDIA \u5728 Computex 2026 \u4e0a\u767c\u5e03\u7684 RTX Spark PC \u8d85\u7d1a\u6676\u7247\uff0c\u4ee5 Arm CPU + Blackwell GPU \u4e00\u9ad4\u5316\u8a2d\u8a08\u76f4\u63a5\u5207\u5165\u7aef\u5074 AI PC \u5e02\u5834\uff0c\u9032\u4e00\u6b65\u58d3\u7e2e\u4e86 x86 \u8655\u7406\u5668\u7684\u751f\u5b58\u7a7a\u9593\u3002<\/p>\n<p>\u9762\u5c0d\u96d9\u7dda\u593e\u64ca\uff0cAMD \u8207 Intel \u7d42\u65bc\u610f\u8b58\u5230\uff1a<strong>\u8207\u5176\u5167\u8017\uff0c\u4e0d\u5982\u5148\u5b88\u4f4f x86 \u9019\u584a\u5171\u540c\u7684\u86cb\u7cd5<\/strong>\u3002EAG \u7684\u6210\u7acb\u521d\u8877\u5c31\u662f\u900f\u904e\u7d71\u4e00\u6307\u4ee4\u96c6\u8207\u67b6\u69cb\u4ecb\u9762\uff0c\u964d\u4f4e\u958b\u767c\u8005\u7684\u8de8\u5e73\u53f0\u9069\u914d\u6210\u672c\uff0c\u5f9e\u800c\u7559\u4f4f\u6574\u500b x86 \u8edf\u9ad4\u751f\u614b\u8cc7\u7522\u3002<\/p>\n<p>EAG \u7684\u5275\u59cb\u6210\u54e1\u9663\u5bb9\u4e5f\u53cd\u6620\u4e86\u9019\u5834\u806f\u76df\u7684\u7522\u696d\u865f\u53ec\u529b\uff1a\u535a\u901a\u3001\u6234\u723e\u3001Google\u3001HPE\u3001HP Inc\u3001\u806f\u60f3\u3001Meta\u3001\u5fae\u8edf\u3001Oracle\u3001Red Hat\u2014\u2014\u5e7e\u4e4e\u6db5\u84cb\u4e86\u5f9e\u6676\u7247\u8a2d\u8a08\u3001\u4f3a\u670d\u5668\u88fd\u9020\u3001\u96f2\u7aef\u670d\u52d9\u5230\u4f5c\u696d\u7cfb\u7d71\u7684\u5168\u7522\u696d\u93c8\u3002Linux \u6838\u5fc3\u5275\u59cb\u4eba Linus Torvalds \u8207 Epic Games CEO Tim Sweeney \u4e5f\u4ee5\u500b\u4eba\u8eab\u4efd\u52a0\u5165\u3002<\/p>\n<hr \/>\n<h2 id=\"\u4e09\u6280\u8853\u67b6\u69cbace-\u5982\u4f55\u5d4c\u5165-x86-\u7684-ai-\u62fc\u5716\">\u4e09\u3001\u6280\u8853\u67b6\u69cb\uff1aACE \u5982\u4f55\u5d4c\u5165 x86 \u7684 AI \u62fc\u5716\uff1f<\/h2>\n<p>\u8981\u7406\u89e3 ACE \u7684\u5b9a\u4f4d\uff0c\u9700\u8981\u5148\u770b\u6e05 x86 \u67b6\u69cb\u5728 AI \u6642\u4ee3\u7684\u6280\u8853\u7248\u5716\u3002\u76ee\u524d x86 \u8655\u7406\u5668\u4e0a\u7684 AI \u52a0\u901f\u4e3b\u8981\u4f9d\u8cf4\u4e09\u689d\u8def\u5f91\uff1a<\/p>\n<table>\n<colgroup>\n<col style=\"width: 30%\" \/>\n<col style=\"width: 30%\" \/>\n<col style=\"width: 20%\" \/>\n<col style=\"width: 20%\" \/>\n<\/colgroup>\n<thead>\n<tr>\n<th>\u52a0\u901f\u8def\u5f91<\/th>\n<th>\u4ee3\u8868\u6280\u8853<\/th>\n<th>\u512a\u52e2<\/th>\n<th>\u52a3\u52e2<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>NPU \u6574\u5408<\/strong><\/td>\n<td>Intel NPU\uff08Panther Lake 50 TOPS\uff09\u3001AMD XDNA 2\uff08Ryzen AI 400 \u7cfb\u5217 60 TOPS\uff09<\/td>\n<td>\u5c08\u7528 AI \u786c\u9ad4\uff0c\u80fd\u6548\u6bd4\u9ad8<\/td>\n<td>\u9762\u7a4d\u6210\u672c\u5927\uff0c\u50c5\u9650\u65b0\u5e73\u53f0<\/td>\n<\/tr>\n<tr>\n<td><strong>SIMD \u6307\u4ee4\u64f4\u5c55<\/strong><\/td>\n<td>AVX10\u3001AVX-512\u3001AMX\uff08Intel Sapphire Rapids\uff09<\/td>\n<td>\u7121\u9700\u5c08\u7528\u786c\u9ad4\uff0c\u5411\u5f8c\u76f8\u5bb9<\/td>\n<td>\u77e9\u9663\u904b\u7b97\u6548\u7387\u4f4e\uff0c\u64f4\u5c55\u6027\u53d7\u9650<\/td>\n<\/tr>\n<tr>\n<td><strong>GPU \u5354\u540c<\/strong><\/td>\n<td>Intel Arc\u3001AMD Radeon \/ Instinct<\/td>\n<td>\u7b97\u529b\u5f37\u52c1\uff0c\u9069\u5408\u8a13\u7df4<\/td>\n<td>\u529f\u8017\u9ad8\uff0c\u9700\u8981\u7368\u7acb\u6676\u7247<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>ACE \u5c6c\u65bc\u7b2c\u4e8c\u689d\u8def\u5f91\u7684\u5347\u7d1a<\/strong>\u2014\u2014\u5b83\u4e0d\u53d6\u4ee3 NPU \u6216 GPU\uff0c\u800c\u662f\u5728 CPU \u6838\u5fc3\u5167\u90e8\u70ba\u77e9\u9663\u4e58\u6cd5\u63d0\u4f9b\u66f4\u9ad8\u6548\u7684\u6307\u4ee4\u7d1a\u52a0\u901f\u3002\u9019\u689d\u8def\u5f91\u7684\u7368\u7279\u50f9\u503c\u5728\u65bc\uff1a<\/p>\n<ol type=\"1\">\n<li><strong>\u96f6\u984d\u5916\u786c\u9ad4\u6210\u672c<\/strong>\uff1aACE \u6307\u4ee4\u5728\u73fe\u6709 CPU \u7ba1\u7dda\u4e2d\u57f7\u884c\uff08\u5118\u7ba1\u5f8c\u7e8c\u53ef\u80fd\u589e\u52a0\u5c08\u7528\u57f7\u884c\u55ae\u5143\u4ee5\u9054\u5230\u6700\u4f73\u6548\u80fd\uff09\uff0c\u4e0d\u9700\u8981\u50cf NPU \u90a3\u6a23\u5360\u7528\u984d\u5916\u6676\u7247\u9762\u7a4d<\/li>\n<li><strong>\u7d71\u4e00\u7de8\u7a0b\u6a21\u578b<\/strong>\uff1a\u958b\u767c\u8005\u53ea\u9700\u91dd\u5c0d ACE \u7de8\u5beb\u4e00\u6b21\u77e9\u9663\u52a0\u901f\u7a0b\u5f0f\u78bc\uff0c\u5373\u53ef\u5728 AMD \u8207 Intel \u5e73\u53f0\u4e4b\u9593\u7121\u7e2b\u79fb\u690d\uff0c\u7121\u9700\u50cf\u76ee\u524d\u9019\u6a23\u70ba Intel AMX \u548c AMD AVX-512 \u5206\u5225\u512a\u5316<\/li>\n<li><strong>\u8986\u84cb\u5168\u7522\u54c1\u7dda<\/strong>\uff1a\u5f9e\u7b46\u96fb\u7684\u8f15\u8584\u8655\u7406\u5668\u5230\u6578\u64da\u4e2d\u5fc3\u7684\u4f3a\u670d\u5668 CPU\uff0c\u53ea\u8981\u652f\u63f4 ACE \u5373\u53ef\u7372\u5f97\u4e00\u81f4\u7684 AI \u52a0\u901f\u80fd\u529b<\/li>\n<\/ol>\n<p>\u5f9e x86 \u751f\u614b\u9577\u671f\u6f14\u9032\u7684\u89d2\u5ea6\u770b\uff0cEAG \u540c\u6642\u63a8\u52d5\u7684\u53e6\u4e00\u9805\u95dc\u9375\u6280\u8853\u662f <strong>AVX10<\/strong>\u2014\u2014\u5b83\u7d71\u4e00\u4e86\u904e\u53bb Intel AVX-512 \u8207 AMD AVX-256 \u4e4b\u9593\u7684\u5206\u88c2\u72c0\u614b\u3002ACE \u5247\u662f\u5728 AVX10 \u7d71\u4e00\u5411\u91cf\u57fa\u790e\u4e4b\u4e0a\uff0c\u758a\u52a0\u77e9\u9663\u7dad\u5ea6\u7684\u5c08\u7528\u52a0\u901f\u3002\u5169\u8005\u5f62\u6210\u300c\u5411\u91cf + \u77e9\u9663\u300d\u7684\u96d9\u5c64 AI \u52a0\u901f\u9ad4\u7cfb\u3002<\/p>\n<hr \/>\n<h2 id=\"\u56db\u7af6\u722d\u683c\u5c40x86-vs-arm-vs-gpu-\u7684\u4e09\u89d2\u6230\u722d\">\u56db\u3001\u7af6\u722d\u683c\u5c40\uff1ax86 vs ARM vs GPU \u7684\u4e09\u89d2\u6230\u722d<\/h2>\n<p>ACE \u7684\u63a8\u51fa\uff0c\u672c\u8cea\u4e0a\u662f x86 \u9663\u71df\u5728 AI \u7b97\u529b\u4e09\u89d2\u6230\u722d\u4e2d\u7684\u4e00\u6b21\u6230\u7565\u8abf\u6574\u3002\u76ee\u524d\u7684\u7af6\u722d\u683c\u5c40\u53ef\u4ee5\u6982\u62ec\u70ba\uff1a<\/p>\n<p><strong>NVIDIA GPU<\/strong>\uff1aAI \u8a13\u7df4\u7684\u7d55\u5c0d\u738b\u8005\u3002CUDA \u751f\u614b\u3001NVLink \u4e92\u806f\u3001HBM \u983b\u5bec\u69cb\u6210\u4e86\u6975\u9ad8\u7684\u7af6\u722d\u58c1\u58d8\u3002\u4f46\u52a3\u52e2\u540c\u6a23\u660e\u986f\u2014\u2014\u6210\u672c\u9ad8\u6602\uff08H200 \u55ae\u5361\u552e\u50f9\u7d04 3\u20134 \u842c\u7f8e\u5143\uff09\u3001\u529f\u8017\u9a5a\u4eba\uff08\u55ae\u5361 700W+\uff09\uff0c\u4e14\u4f9b\u61c9\u53d7\u9650\u3002\u5c0d\u65bc\u5927\u91cf\u4e2d\u5c0f\u898f\u6a21\u7684 AI \u63a8\u7406\u5834\u666f\uff0cGPU \u5f80\u5f80\u662f\u300c\u725b\u5200\u6bba\u96de\u300d\u3002<\/p>\n<p><strong>ARM \u67b6\u69cb\u6676\u7247<\/strong>\uff1a\u4ee5\u860b\u679c M \u7cfb\u5217\u3001\u9ad8\u901a Snapdragon\u3001AWS Graviton \u70ba\u4ee3\u8868\uff0c\u5728\u80fd\u6548\u6bd4\u4e0a\u6709\u5929\u7136\u512a\u52e2\u3002\u860b\u679c M4 Ultra \u7684 Neural Engine \u5df2\u9054 60 TOPS \u7d1a\u5225\uff0c\u9ad8\u901a Snapdragon X Elite \u7684 NPU \u70ba 45 TOPS\u3002\u4f46 ARM \u7684\u52a3\u52e2\u5728\u65bc\u8edf\u9ad4\u751f\u614b\u5206\u6563\u2014\u2014\u6bcf\u5bb6\u6676\u7247\u5ee0\u5546\u7684 AI \u52a0\u901f\u55ae\u5143\u548c SDK \u5404\u4e0d\u76f8\u540c\uff0c\u958b\u767c\u8005\u9700\u8981\u9010\u5e73\u53f0\u9069\u914d\u3002<\/p>\n<p><strong>x86 + ACE<\/strong>\uff1a\u6b64\u6b21\u806f\u624b\u7684\u6230\u7565\u610f\u5716\u975e\u5e38\u6e05\u6670\uff1a\u7528<strong>\u7d71\u4e00\u7684 AI \u6307\u4ee4\u96c6<\/strong>\u89e3\u6c7a\u8edf\u9ad4\u751f\u614b\u788e\u7247\u5316\u554f\u984c\uff0c\u7528<strong>CPU \u5167\u5efa\u52a0\u901f<\/strong>\u964d\u4f4e\u90e8\u7f72\u9580\u6abb\u548c\u6210\u672c\u3002x86 \u9663\u71df\u5e0c\u671b\u5728 GPU \u7684\u300c\u9ad8\u6027\u80fd\u9ad8\u6210\u672c\u300d\u8207 ARM \u7684\u300c\u4f4e\u529f\u8017\u4f46\u788e\u7247\u5316\u300d\u4e4b\u9593\uff0c\u958b\u95e2\u7b2c\u4e09\u689d\u8def\u2014\u2014\u300c\u5920\u7528\u7684 AI \u7b97\u529b\uff0c\u96f6\u9077\u79fb\u6210\u672c\u300d\u3002<\/p>\n<p>\ud83d\udd17 \u95dc\u65bc GPU \u67b6\u69cb\u4e4b\u9593\u7684\u5c0d\u6bd4\uff0c\u53ef\u53c3\u8003\u6211\u5011\u4e4b\u524d\u7684\u5206\u6790\uff1a<a href=\"https:\/\/ai-stack.ai\/zh-hant\/asic-vs-gpu\/\">ASIC \u8207 GPU \u7684\u8def\u7dda\u4e4b\u722d<\/a>\uff1b\u5c0d\u65bc\u8655\u7406\u5668\u9078\u64c7\u7684 ROI \u8003\u91cf\uff0c\u4e5f\u53ef\u67e5\u95b1 <a href=\"https:\/\/ai-stack.ai\/zh-hant\/gpu-roi\/\">GPU \u6295\u8cc7\u56de\u5831\u7684\u5b8c\u6574\u8a08\u7b97\u6846\u67b6<\/a>\u3002<\/p>\n<hr \/>\n<h2 id=\"\u4e94\u7522\u696d\u5f71\u97ff\u8ab0\u662f\u8d0f\u5bb6\u8ab0\u8a72\u7dca\u5f35\">\u4e94\u3001\u7522\u696d\u5f71\u97ff\uff1a\u8ab0\u662f\u8d0f\u5bb6\uff0c\u8ab0\u8a72\u7dca\u5f35\uff1f<\/h2>\n<p><strong>\u5c0d x86 \u751f\u614b\u800c\u8a00<\/strong>\uff1aACE \u662f\u8fc4\u4eca\u70ba\u6b62 AMD \u8207 Intel \u5408\u4f5c\u6df1\u5ea6\u6700\u5927\u7684\u4e00\u6b21\u6280\u8853\u5354\u540c\u3002\u56de\u9867\u6b77\u53f2\uff0c\u5169\u5bb6\u516c\u53f8\u4e0a\u4e00\u6b21\u5982\u6b64\u5bc6\u5207\u5408\u4f5c\u9084\u662f\u5728 1990 \u5e74\u4ee3\u672b\u5171\u540c\u5b9a\u7fa9 x86-64 \u67b6\u69cb\uff08AMD64\uff0c\u5f8c\u88ab Intel \u63a1\u7528\u70ba EM64T\uff09\u3002\u5982\u679c ACE \u6210\u529f\u843d\u5730\uff0c\u610f\u5473\u8457 x86 \u5728 AI \u6642\u4ee3\u627e\u5230\u4e86\u4e00\u689d\u4e0d\u9700\u8981\u5b8c\u5168\u4f9d\u8cf4 GPU \u6216 NPU \u7684\u52a0\u901f\u8def\u5f91\uff0c\u9019\u5c0d\u6574\u500b x86 \u4f3a\u670d\u5668\u548c PC \u7522\u696d\u93c8\u90fd\u662f\u5229\u591a\u3002<\/p>\n<p><strong>\u5c0d NVIDIA \u800c\u8a00<\/strong>\uff1a\u77ed\u671f\u5f71\u97ff\u6709\u9650\u3002ACE \u4e3b\u8981\u91dd\u5c0d\u7684\u662f CPU \u7aef\u7684\u63a8\u7406\u52a0\u901f\uff0c\u4e0d\u76f4\u63a5\u6311\u6230 GPU \u5728\u8a13\u7df4\u9818\u57df\u7684\u4e3b\u5c0e\u5730\u4f4d\u3002\u4f46\u4e2d\u9577\u671f\u4f86\u770b\uff0c\u5982\u679c\u300cCPU + ACE\u300d\u80fd\u5920\u8655\u7406\u8d8a\u4f86\u8d8a\u591a\u7684\u63a8\u7406\u8ca0\u8f09\uff0c\u5c07\u58d3\u7e2e\u4f4e\u968e GPU\uff08\u5982 L40S\u3001L4\uff09\u7684\u5e02\u5834\u7a7a\u9593\u3002NVIDIA \u5728 Computex 2026 \u4e0a\u63a8\u51fa RTX Spark \u9032\u8ecd AI PC\uff0c\u6b63\u662f\u770b\u5230\u4e86\u9019\u500b\u98a8\u96aa\u800c\u63d0\u524d\u4f48\u5c40\u3002<\/p>\n<p><strong>\u5c0d ARM \u9663\u71df\u800c\u8a00<\/strong>\uff1aACE \u76f4\u63a5\u7784\u6e96\u4e86 ARM \u7684\u6700\u5927\u8ce3\u9ede\u2014\u2014\u80fd\u6548\u6bd4\u3002\u5982\u679c x86 \u8655\u7406\u5668\u80fd\u5920\u4ee5\u76f8\u8fd1\u7684\u529f\u8017\u63d0\u4f9b\u7d71\u4e00\u7684 AI \u52a0\u901f\u9ad4\u9a57\uff0c\u958b\u767c\u8005\u5c31\u4e0d\u9700\u8981\u70ba\u4e86 AI \u529f\u80fd\u800c\u7279\u610f\u9077\u79fb\u5230 ARM \u5e73\u53f0\u3002\u9019\u5c0d\u9ad8\u901a Snapdragon X \u7cfb\u5217\u5728 AI PC \u5e02\u5834\u7684\u64f4\u5f35\u662f\u4e00\u500b\u660e\u78ba\u7684\u963b\u64ca\u4fe1\u865f\u3002<\/p>\n<p><strong>\u5c0d\u4e2d\u570b\u6676\u7247\u7522\u696d\u800c\u8a00<\/strong>\uff1aACE \u7684\u7d71\u4e00\u6307\u4ee4\u96c6\u7b56\u7565\u503c\u5f97\u95dc\u6ce8\u3002\u76ee\u524d\u4e2d\u570b AI \u6676\u7247\u751f\u614b\u9ad8\u5ea6\u788e\u7247\u5316\u2014\u2014\u83ef\u70ba\u6607\u9a30\u3001\u5bd2\u6b66\u7d00\u3001\u5929\u6578\u667a\u82af\u7b49\u5404\u6709\u81ea\u6709\u7684\u8edf\u9ad4\u68e7\uff0c\u958b\u767c\u8005\u9077\u79fb\u6210\u672c\u6975\u9ad8\u3002x86 \u9663\u71df\u7684\u300c\u7d71\u4e00\u6307\u4ee4\u96c6 + \u958b\u653e\u751f\u614b\u300d\u6a21\u5f0f\uff0c\u6216\u8a31\u80fd\u70ba\u4e2d\u570b\u6676\u7247\u7522\u696d\u7684\u5408\u4f5c\u63d0\u4f9b\u555f\u793a\u3002<\/p>\n<p>\ud83d\udd17 \u5ef6\u4f38\u95b1\u8b80\uff1a<a href=\"https:\/\/ai-stack.ai\/zh-hant\/google-tpu-vs-nvidia-gpu\/\">Google TPU vs NVIDIA GPU\uff1aAI \u52a0\u901f\u5668\u7684\u8def\u7dda\u4e4b\u722d<\/a><\/p>\n<hr \/>\n<h2 id=\"\u516d\u5be6\u969b\u843d\u5730\u5f9e\u6a19\u6e96\u51cd\u7d50\u5230\u4f60\u6211\u624b\u4e0a\u7684\u7b46\u96fb\u9084\u6709\u591a\u9060\">\u516d\u3001\u5be6\u969b\u843d\u5730\uff1a\u5f9e\u6a19\u6e96\u51cd\u7d50\u5230\u4f60\u6211\u624b\u4e0a\u7684\u7b46\u96fb\uff0c\u9084\u6709\u591a\u9060\uff1f<\/h2>\n<p>ACE \u7684\u5e02\u5834\u843d\u5730\u6642\u9593\u7dda\u53ef\u4ee5\u5206\u70ba\u4e09\u500b\u968e\u6bb5\uff1a<\/p>\n<p><strong>\u7b2c\u4e00\u968e\u6bb5\uff1a\u8edf\u9ad4\u5c31\u7dd2\u671f\uff082026\u20132027\uff09<\/strong> \u6307\u4ee4\u96c6\u6a19\u6e96\u5df2\u51cd\u7d50\uff08v1.15\uff09\uff0cPyTorch\u3001TensorFlow\u3001NumPy \u7b49\u4e3b\u6d41\u6846\u67b6\u548c\u57fa\u790e\u904b\u7b97\u5eab\uff08oneDNN\u3001BLAS\uff09\u7684\u7dad\u8b77\u8005\u53ef\u4ee5\u958b\u59cb\u91dd\u5c0d ACE \u9032\u884c\u9069\u914d\u3002\u7de8\u8b6f\u5668\u5de5\u5177\u93c8\uff08GCC\u3001LLVM\uff09\u4e5f\u5c07\u9678\u7e8c\u52a0\u5165 ACE \u6307\u4ee4\u7684\u5f8c\u7aef\u652f\u63f4\u3002\u958b\u767c\u8005\u53ef\u4ee5\u5728\u6a21\u64ec\u5668\u4e0a\u63d0\u524d\u6e2c\u8a66 ACE \u52a0\u901f\u6548\u679c\u3002<\/p>\n<p><strong>\u7b2c\u4e8c\u968e\u6bb5\uff1a\u786c\u9ad4\u843d\u5730\u671f\uff082028 \u524d\u5f8c\uff09<\/strong> \u9996\u6279\u76f8\u5bb9 ACE \u7684\u8655\u7406\u5668\u9810\u8a08\u5728 2028 \u5e74\u63a8\u51fa\u3002\u6839\u64da\u76ee\u524d\u7522\u54c1\u8def\u7dda\u5716\u63a8\u6e2c\uff0c\u9019\u53ef\u80fd\u5c0d\u61c9 Intel \u7684 Nova Lake \u5e73\u53f0\u548c AMD \u7684 Zen 7 \u67b6\u69cb\u3002\u7b46\u8005\u9810\u671f\u65d7\u8266\u578b\u865f\u7387\u5148\u652f\u63f4\uff0c\u7136\u5f8c\u9010\u6b65\u4e0b\u6c89\u5230\u4e2d\u4f4e\u968e\u7522\u54c1\u7dda\u3002<\/p>\n<p><strong>\u7b2c\u4e09\u968e\u6bb5\uff1a\u61c9\u7528\u7206\u767c\u671f\uff082029+\uff09<\/strong> \u7576 ACE \u7684\u786c\u9ad4\u6ef2\u900f\u7387\u9054\u5230\u4e00\u5b9a\u898f\u6a21\uff08\u9810\u4f30 30\u201340% \u7684 x86 \u51fa\u8ca8\u91cf\uff09\uff0c\u7368\u7acb\u8edf\u9ad4\u958b\u767c\u5546\uff08ISV\uff09\u624d\u6703\u5927\u898f\u6a21\u5728\u61c9\u7528\u5c64\u6574\u5408 ACE \u52a0\u901f\u3002\u5178\u578b\u5834\u666f\u5305\u62ec\uff1a\u672c\u6a5f\u7aef AI \u52a9\u7406\u7684\u5373\u6642\u63a8\u7406\u3001Office \u8edf\u9ad4\u7684 AI \u8f14\u52a9\u529f\u80fd\u3001\u5c08\u696d\u5275\u4f5c\u5de5\u5177\u7684 AI \u6ffe\u93e1\u548c\u6e32\u67d3\u3001\u4ee5\u53ca\u4f01\u696d\u79c1\u6709\u5316\u90e8\u7f72\u7684\u5c0f\u6a21\u578b\u63a8\u7406\u3002<\/p>\n<p>\u5f9e\u6b77\u53f2\u7d93\u9a57\u4f86\u770b\uff0cx86 \u91cd\u5927\u67b6\u69cb\u64f4\u5c55\u5f9e\u6a19\u6e96\u767c\u5e03\u5230\u5ee3\u6cdb\u61c9\u7528\u901a\u5e38\u9700\u8981 3\u20135 \u5e74\u3002AVX \u5f9e 2008 \u5e74\u767c\u5e03\u5230\u4e3b\u6d41\u61c9\u7528\u82b1\u4e86\u7d04 4 \u5e74\uff1bAVX-512 \u5f9e 2013 \u5e74\u5230\u5be6\u969b\u666e\u53ca\u66f4\u662f\u63a5\u8fd1 7 \u5e74\u3002ACE \u7684\u6642\u9593\u8868\u80fd\u5426\u66f4\u5feb\uff0c\u53d6\u6c7a\u65bc AI \u9700\u6c42\u7684\u7dca\u8feb\u7a0b\u5ea6\u8207 EAG \u7684\u63a8\u52d5\u529b\u5ea6\u3002<\/p>\n<hr \/>\n<h2 id=\"\u4e03\u7d50\u8ad6ace-\u7684\u771f\u6b63\u50f9\u503c\u4e0d\u5728-16-\u500d\u800c\u5728\u7d71\u4e00\">\u4e03\u3001\u7d50\u8ad6\uff1aACE \u7684\u771f\u6b63\u50f9\u503c\u4e0d\u5728 16 \u500d\uff0c\u800c\u5728\u300c\u7d71\u4e00\u300d<\/h2>\n<p>AMD \u8207 Intel \u6b64\u6b21\u806f\u624b\u7684\u771f\u6b63\u770b\u9ede\uff0c\u4e0d\u662f\u77ed\u671f\u7684\u6548\u80fd\u6578\u5b57\uff0c\u800c\u662f\u4e09\u500b\u7d50\u69cb\u6027\u8f49\u8b8a\uff1a<\/p>\n<p><strong>1. x86 \u751f\u614b\u5f9e\u300c\u5206\u88c2\u7af6\u722d\u300d\u8f49\u5411\u300c\u5354\u540c\u9632\u79a6\u300d<\/strong> \u904e\u53bb\u56db\u5341\u5e74\uff0cAMD \u8207 Intel \u7684\u7af6\u722d\u63a8\u52d5\u4e86 x86 \u7684\u5feb\u901f\u8fed\u4ee3\uff0c\u4f46\u5728 AI \u6642\u4ee3\uff0c\u5167\u8017\u53cd\u800c\u6210\u70ba\u52a3\u52e2\u3002ACE \u7684\u806f\u5408\u5b9a\u7fa9\u8868\u660e\uff0c\u5169\u5bb6\u516c\u53f8\u5df2\u7d93\u8a8d\u8b58\u5230\uff1a\u5728\u9762\u5c0d ARM \u548c NVIDIA \u7684\u96d9\u91cd\u5a01\u8105\u6642\uff0c\u5171\u540c\u7684\u6575\u4eba\u6bd4\u5f7c\u6b64\u7684\u6069\u6028\u66f4\u503c\u5f97\u95dc\u6ce8\u3002<\/p>\n<p><strong>2. AI \u7b97\u529b\u5f9e\u300c\u5c08\u7528\u786c\u9ad4\u300d\u8f49\u5411\u300c\u67b6\u69cb\u5167\u5efa\u300d<\/strong> \u5982\u679c\u8aaa GPU \u548c NPU \u4ee3\u8868\u7684\u662f\u300cAI \u7b97\u529b\u4f5c\u70ba\u7368\u7acb\u6a21\u7d44\u300d\u7684\u601d\u7dad\uff0c\u90a3\u9ebc ACE \u4ee3\u8868\u7684\u662f\u300cAI \u7b97\u529b\u4f5c\u70ba\u67b6\u69cb\u539f\u751f\u80fd\u529b\u300d\u7684\u65b9\u5411\u3002\u9019\u8207 ARM v9 \u67b6\u69cb\u4e2d\u7684 SVE2 \u5411\u91cf\u64f4\u5c55\u3001RISC-V \u7684 Vector Extension \u7406\u5ff5\u4e00\u81f4\u2014\u2014\u672a\u4f86\u7684 CPU \u67b6\u69cb\u4e0d\u518d\u5340\u5206\u300c\u901a\u7528\u8a08\u7b97\u300d\u548c\u300cAI \u8a08\u7b97\u300d\uff0cAI \u52a0\u901f\u5c07\u50cf\u6d6e\u9ede\u904b\u7b97\u4e00\u6a23\u6210\u70ba\u6a19\u914d\u3002<\/p>\n<p><strong>3. \u958b\u767c\u8005\u9ad4\u9a57\u6210\u70ba\u7af6\u722d\u7684\u6838\u5fc3\u6230\u5834<\/strong> NVIDIA \u7684\u6210\u529f\u8b49\u660e\u4e86\u751f\u614b\u7cfb\u7d71\u7684\u50f9\u503c\u9060\u5927\u65bc\u786c\u9ad4\u672c\u8eab\u3002ACE \u7684\u7b56\u7565\u6838\u5fc3\u540c\u6a23\u662f\u300c\u964d\u4f4e\u958b\u767c\u8005\u6210\u672c\u300d\u2014\u2014\u4e00\u6b21\u7de8\u5beb\uff0c\u8de8 AMD\/Intel \u5e73\u53f0\u57f7\u884c\uff0c\u96f6\u7a0b\u5f0f\u78bc\u4fee\u6539\u3002\u5728 AI \u6a21\u578b\u5feb\u901f\u8fed\u4ee3\u7684\u6642\u4ee3\uff08<a href=\"https:\/\/ai-stack.ai\/zh-hant\/claude-opus-4-8\/\">\u5f9e Claude Opus 4.8 \u5373\u53ef\u7aba\u898b<\/a>\uff09\uff0c\u9019\u6bd4\u984d\u5916\u7684 10% \u786c\u9ad4\u6548\u80fd\u66f4\u6709\u5546\u696d\u5438\u5f15\u529b\u3002<\/p>\n<p><strong>\u5c0d\u4f01\u696d\u6c7a\u7b56\u8005\u7684\u555f\u793a<\/strong>\uff1a\u5982\u679c\u4f60\u7684\u5718\u968a\u6b63\u5728\u898f\u5283 AI \u63a8\u7406\u57fa\u790e\u8a2d\u65bd\uff0cACE \u7684\u51cd\u7d50\u662f\u4e00\u500b\u503c\u5f97\u95dc\u6ce8\u7684\u4fe1\u865f\u3002\u5b83\u610f\u5473\u8457 3\u20135 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\/>\n","protected":false},"excerpt":{"rendered":"<p>2026\u5e746\u6708\uff0cAMD\u8207Intel\u900f\u904ex86\u751f\u614b\u7cfb\u7d71\u8aee\u8a62\u5c0f\u7d44\u806f\u5408\u767c\u5e03ACE\u6307\u4ee4\u96c6\u898f\u7bc4v1.15\uff0c\u70bax86\u67b6\u69cb\u5f15\u5165\u539f\u751f\u77e9\u9663\u4e58\u6cd5\u5f15\u64ce\uff0c\u8a08\u7b97\u5bc6\u5ea6\u9054AVX10\u768416\u500d\u3002\u672c\u6587\u5f9e\u6280\u8853\u539f\u7406\u3001\u7af6\u722d\u683c\u5c40\u5230\u4f01\u696d\u843d\u5730\u6642\u9593\u7dda\uff0c\u5b8c\u6574\u89e3\u6790\u9019\u5834\u300c\u4e16\u7d00\u806f\u624b\u300d\u5c0dAI\u6676\u7247\u5e02\u5834\u7684\u6df1\u9060\u5f71\u97ff\u3002<\/p>\n","protected":false},"author":253372376,"featured_media":13469,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[96987573,96987580],"tags":[96987732,96988802],"class_list":["post-13461","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-featured-articles","category-ai-news","tag-amd","tag-intel"],"blocksy_meta":[],"acf":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/ai-stack.ai\/wp-content\/uploads\/2026\/06\/zh-92aeb1ba-3.jpg?fit=1920%2C1080&quality=100&ct=202603031250&ssl=1","jetpack_shortlink":"https:\/\/wp.me\/ph344V-3v7","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ai-stack.ai\/zh-hant\/wp-json\/wp\/v2\/posts\/13461","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ai-stack.ai\/zh-hant\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ai-stack.ai\/zh-hant\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ai-stack.ai\/zh-hant\/wp-json\/wp\/v2\/users\/253372376"}],"replies":[{"embeddable":true,"href":"https:\/\/ai-stack.ai\/zh-hant\/wp-json\/wp\/v2\/comments?post=13461"}],"version-history":[{"count":2,"href":"https:\/\/ai-stack.ai\/zh-hant\/wp-json\/wp\/v2\/posts\/13461\/revisions"}],"predecessor-version":[{"id":13497,"href":"https:\/\/ai-stack.ai\/zh-hant\/wp-json\/wp\/v2\/posts\/13461\/revisions\/13497"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ai-stack.ai\/zh-hant\/wp-json\/wp\/v2\/media\/13469"}],"wp:attachment":[{"href":"https:\/\/ai-stack.ai\/zh-hant\/wp-json\/wp\/v2\/media?parent=13461"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ai-stack.ai\/zh-hant\/wp-json\/wp\/v2\/categories?post=13461"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ai-stack.ai\/zh-hant\/wp-json\/wp\/v2\/tags?post=13461"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}