{"id":109750,"date":"2026-09-24T19:48:48","date_gmt":"2026-09-24T11:48:48","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/109750.html"},"modified":"2026-09-24T19:48:48","modified_gmt":"2026-09-24T11:48:48","slug":"%e3%80%902026%e3%80%91%e7%ab%af%e4%be%a7ai%e6%8e%a8%e7%90%86%e9%83%a8%e7%bd%b2%e5%ae%9e%e6%88%98%ef%bc%9a%e6%a8%a1%e5%9e%8b%e9%87%8f%e5%8c%96wasm%e8%bf%90%e8%a1%8c%e6%97%b6%e6%8c%87%e5%8d%97","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/109750.html","title":{"rendered":"\u30102026\u3011\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5b9e\u6218\uff1a\u6a21\u578b\u91cf\u5316+Wasm\u8fd0\u884c\u65f6\u6307\u5357"},"content":{"rendered":"<\/p>\n<h4>\u76ee\u5f55<\/h4>\n<ul>\n<li>\u30102026\u3011\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5b9e\u6218&#xff1a;\u6a21\u578b\u91cf\u5316&#043;Wasm\u8fd0\u884c\u65f6\u6307\u5357<\/li>\n<li>\n<ul>\n<li>\u5feb\u901f\u7b54\u6848<\/li>\n<li>\u4e00\u3001\u4e3a\u4ec0\u4e48\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u8981\u4ece\u4e91\u7aef\u4e0b\u6c89&#xff1f;2026\u5e74\u80cc\u666f\u4e0e\u75db\u70b9<\/li>\n<li>\n<ul>\n<li>1.1 \u4e91\u7aef\u63a8\u7406\u5ef6\u8fdf\u65e0\u6cd5\u6ee1\u8db3\u5b9e\u65f6\u573a\u666f\u7684\u7269\u7406\u7ea6\u675f<\/li>\n<li>1.2 \u7aef\u4fa7AI\u90e8\u7f72\u7684\u201c\u4e0d\u53ef\u80fd\u4e09\u89d2\u201d<\/li>\n<li>1.3 \u7aef\u4fa7AI\u89c4\u6a21\u5316\u843d\u5730\u7684\u5e02\u573a\u7a97\u53e3\u5df2\u6253\u5f00<\/li>\n<\/ul>\n<\/li>\n<li>\u4e8c\u3001\u6a21\u578b\u91cf\u5316\u4e0eWasm\u8fd0\u884c\u65f6\u600e\u4e48\u9009&#xff1f;\u7aef\u5230\u7aef\u67b6\u6784\u4e0e\u539f\u7406<\/li>\n<li>\n<ul>\n<li>2.1 \u6a21\u578b\u91cf\u5316&#xff1a;PTQ\u548cQAT\u600e\u4e48\u9009&#xff1f;<\/li>\n<li>2.2 Wasm\u6bd4\u5bb9\u5668\u5feb\u591a\u5c11&#xff1f;Wasm vs Docker\u6838\u5fc3\u5dee\u5f02<\/li>\n<li>2.3 \u63a8\u7406\u4f18\u5316&#xff1a;\u5982\u4f55\u843d\u5730\u95ed\u73af&#xff1f;<\/li>\n<\/ul>\n<\/li>\n<li>\u4e09\u3001\u5982\u4f55\u843d\u5730&#xff1f;\u6a21\u578b\u91cf\u5316\u3001Wasm\u7f16\u8bd1\u4e0e\u63a8\u7406\u8c03\u7528\u4ee3\u7801\u5b9e\u73b0<\/li>\n<li>\n<ul>\n<li>3.0 \u6700\u5c0f\u590d\u73b0\u5b9e\u9a8c\u8bf4\u660e<\/li>\n<li>3.1 \u6a21\u578b\u91cf\u5316\u811a\u672c&#xff08;ONNX Runtime PTQ&#xff09;<\/li>\n<li>3.2 Wasm\u7f16\u8bd1\u4e0e\u90e8\u7f72<\/li>\n<li>3.3 Wasm\u63a8\u7406\u8c03\u7528\u793a\u4f8b&#xff08;Rust &#043; WASI-NN&#xff09;<\/li>\n<li>3.4 \u8fc1\u79fb\u65f6\u5e94\u7528\u5c42\u6539\u591a\u5c11\u884c\u4ee3\u7801&#xff1f;<\/li>\n<\/ul>\n<\/li>\n<li>\u56db\u3001\u6570\u636e\u9a8c\u8bc1&#xff1a;\u91cf\u5316\u7cbe\u5ea6\u635f\u5931\u4e0eWasm vs Docker\u51b7\u542f\u52a8\u600e\u4e48\u9009&#xff1f;<\/li>\n<li>\n<ul>\n<li>4.1 \u4e0d\u540c\u91cf\u5316\u7b56\u7565\u7684\u7cbe\u5ea6\u635f\u5931 vs \u63a8\u7406\u901f\u5ea6<\/li>\n<li>4.2 Wasm vs Docker \u5728\u8fb9\u7f18\u573a\u666f\u7684\u542f\u52a8\u65f6\u95f4\u3001\u5185\u5b58\u5360\u7528\u3001\u5b89\u5168\u6a21\u578b\u5bf9\u6bd4<\/li>\n<li>4.3 3C\u9762\u677f\u8fb9\u7f18\u8d28\u68c0\u6027\u80fd\u4f18\u5316\u94fe\u8def\u8fd8\u539f&#xff08;\u53d1\u73b0\u2192\u5b9a\u4f4d\u2192\u9a8c\u8bc1\u2192\u4fee\u590d\u2192\u56de\u5f52&#xff09;<\/li>\n<\/ul>\n<\/li>\n<li>\u4e94\u3001\u5e38\u89c1\u95ee\u9898&#xff08;FAQ&#xff09;<\/li>\n<li>\n<ul>\n<li>Q1&#xff1a;\u6a21\u578b\u91cf\u5316\u540e\u7cbe\u5ea6\u4e0b\u964d\u660e\u663e&#xff0c;\u6709\u54ea\u4e9b\u8865\u507f\u7b56\u7565&#xff1f;<\/li>\n<li>Q2&#xff1a;Wasm\u5728\u7aef\u4fa7AI\u63a8\u7406\u4e2d\u76f8\u6bd4ONNX Runtime\u539f\u751f\u90e8\u7f72\u6709\u4ec0\u4e48\u4f18\u52bf&#xff1f;<\/li>\n<li>Q3&#xff1a;\u6ca1\u6709Wasm\u7ecf\u9a8c\u7684\u56e2\u961f&#xff0c;\u4e0a\u624b\u6210\u672c\u6709\u591a\u5927&#xff1f;<\/li>\n<li>Q4&#xff1a;\u672c\u6587\u65b9\u6848\u7684\u9002\u7528\u8fb9\u754c\u662f\u4ec0\u4e48&#xff1f;<\/li>\n<\/ul>\n<\/li>\n<li>\u516d\u3001\u7ed3\u8bed\u4e0e\u8d44\u6e90<\/li>\n<li>\n<ul>\n<li>\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u68c0\u67e5\u6e05\u5355<\/li>\n<li>\u65f6\u6548\u58f0\u660e<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>\u30102026\u3011\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5b9e\u6218&#xff1a;\u6a21\u578b\u91cf\u5316&#043;Wasm\u8fd0\u884c\u65f6\u6307\u5357<\/h2>\n<p>\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u7684\u6838\u5fc3\u94fe\u8def\u662f\u6a21\u578b\u91cf\u5316\u3001Wasm\u8fd0\u884c\u65f6\u7f16\u8bd1\u3001\u8fb9\u7f18\u90e8\u7f72\u4e0e\u63a8\u7406\u4f18\u5316\u30022026\u5e74\u5168\u7403Gen AI PC\u51fa\u8d27\u91cf\u5c06\u8fbe0.5\u4ebf\u53f0&#xff0c;Gen AI\u624b\u673a\u8fbe4.32\u4ebf\u53f0&#xff1b;WebAssembly\u51b7\u542f\u52a8\u4f4e\u81f334.31ms&#xff0c;\u8f83Docker\u7684270.19ms\u5feb87.68%&#xff1b;WASI\u5cf0\u503c\u5185\u5b58\u8f83Docker\u964d\u4f4e49.2%&#xff1b;INT8\u91cf\u5316\u5728TinyML\u573a\u666f\u4e0b\u7cbe\u5ea6\u635f\u5931\u53ef\u63a7\u5236\u5728&lt;0.5%\u3002\u672c\u6587\u63d0\u4f9b\u4ece\u91cf\u5316\u811a\u672c\u5230Wasm\u63a8\u7406\u8c03\u7528\u7684\u7aef\u5230\u7aef\u53ef\u590d\u73b0\u4ee3\u7801\u94fe\u8def\u3002<\/p>\n<p>\u9605\u8bfb\u6536\u76ca&#xff1a;4 \u6bb5\u53ef\u8fd0\u884c\u4ee3\u7801 \u00b7 2 \u5f20\u5bf9\u6bd4\u8868\u683c \u00b7 1 \u6761\u5b8c\u6574\u4f18\u5316\u94fe\u8def \u00b7 1 \u5f20\u7aef\u5230\u7aef\u90e8\u7f72\u6d41\u7a0b\u56fe \u00b7 3 \u7ec4\u5b9e\u6d4b\u6570\u636e \u6d4b\u8bd5\u73af\u5883&#xff1a;ONNX Runtime 1.20 \u00b7 WasmEdge 0.14.1 \u00b7 TensorFlow Lite 2.18 \u00b7 Python 3.12 &#xff5c; \u9a8c\u8bc1\u65e5\u671f&#xff1a;2026-09-24<\/p>\n<p>\u91d1\u53e5\u6bb5\u843d \u7aef\u4fa7AI\u7684\u7ade\u4e89\u6838\u5fc3\u5df2\u7ecf\u4ece\u201c\u6a21\u578b\u591a\u5927\u201d\u8f6c\u5411\u201c\u6bcf\u74e6\u80fd\u8dd1\u591a\u5c11Token\u201d\u3002\u5728\u7ec8\u7aef\u8bbe\u5907\u51e0\u74e6\u529f\u8017\u3001\u51e0\u5341\u7f8e\u91d1\u6210\u672c\u7684\u7269\u7406\u7ea6\u675f\u4e0b&#xff0c;\u63a8\u7406\u90e8\u7f72\u7684\u7b2c\u4e00\u74f6\u9888\u4e0d\u662f\u7b97\u529b&#xff0c;\u800c\u662f\u5185\u5b58\u5e26\u5bbd\u4e0e\u8fd0\u884c\u65f6\u8c03\u5ea6\u6548\u7387\u3002<\/p>\n<hr \/>\n<h3>\u5feb\u901f\u7b54\u6848<\/h3>\n<p>\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u7684\u6838\u5fc3\u94fe\u8def\u662f\u201c\u6a21\u578b\u91cf\u5316\u2192Wasm\u7f16\u8bd1\u2192\u8fb9\u7f18\u90e8\u7f72\u2192\u63a8\u7406\u4f18\u5316\u201d\u30022026\u5e74\u5168\u7403Gen AI PC\u51fa\u8d27\u91cf\u8fbe0.5\u4ebf\u53f0\u3001Gen AI\u624b\u673a\u8fbe4.32\u4ebf\u53f0&#xff0c;\u8fb9\u7f18\u7b97\u529b\u6b63\u4ece\u6982\u5ff5\u8d70\u5411\u89c4\u6a21\u5316\u843d\u5730\u3002\u4e09\u4e2a\u5173\u952e\u6570\u5b57&#xff1a;WebAssembly\u51b7\u542f\u52a8\u4ec534.31ms&#xff0c;\u8f83Docker\u7684270.19ms\u5feb87.68%&#xff1b;WASI\u76f8\u8f83Docker\u5cf0\u503c\u5185\u5b58\u964d\u4f4e49.2%&#xff0c;\u5e73\u5747\u4ec5\u970018.33MB&#xff1b;INT8\u91cf\u5316\u5728TinyML\u573a\u666f\u4e0b\u7cbe\u5ea6\u635f\u5931&lt;0.5%&#xff0c;ECE&lt;0.02\u3002\u6a21\u578b\u91cf\u5316\u65b9\u9762&#xff0c;INT8\u76f8\u6bd4FP16\u5728\u591a\u6570\u6a21\u578b\u4e0a\u7cbe\u5ea6\u6298\u635f\u53ef\u63a7&#xff08;IES\u964d\u4f4e1.8%-5.1%&#xff09;&#xff0c;\u4f46\u5e76\u975e\u6240\u6709\u6a21\u578b\u90fd\u5b89\u5168\u2014\u2014\u9700\u9010\u6a21\u578b\u9a8c\u8bc1\u3002\u672c\u6587\u63d0\u4f9b\u4ece\u91cf\u5316\u5230Wasm\u90e8\u7f72\u7684\u5b8c\u6574\u53ef\u590d\u73b0\u4ee3\u7801\u94fe\u8def\u3002<\/p>\n<table>\n<tr>\u6307\u6807\u6570\u503c\u6765\u6e90<\/tr>\n<tbody>\n<tr>\n<td>WebAssembly\u51b7\u542f\u52a8<\/td>\n<td>34.31ms&#xff08;vs \u5bb9\u5668 270.19ms&#xff09;<\/td>\n<td>ACM \u5b9e\u9a8c\u6570\u636e<sup id=\"back-ref1\">[1]<\/sup><\/td>\n<\/tr>\n<tr>\n<td>WASI \u5cf0\u503c\u5185\u5b58<\/td>\n<td>18.33MB&#xff08;\u8f83 Docker \u964d\u4f4e 49.2%&#xff09;<\/td>\n<td>IEEE 2026<sup id=\"back-ref2\">[2]<\/sup><\/td>\n<\/tr>\n<tr>\n<td>INT8 \u91cf\u5316\u7cbe\u5ea6\u635f\u5931<\/td>\n<td>&lt;0.5%&#xff08;TinyML \u573a\u666f&#xff09;<\/td>\n<td>Scientific Reports 2026<sup id=\"back-ref3\">[3]<\/sup><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h3>\u4e00\u3001\u4e3a\u4ec0\u4e48\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u8981\u4ece\u4e91\u7aef\u4e0b\u6c89&#xff1f;2026\u5e74\u80cc\u666f\u4e0e\u75db\u70b9<\/h3>\n<p>\u5b9a\u4e49&#xff1a;\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u6307\u5c06AI\u6a21\u578b\u7684\u63a8\u7406\u8fc7\u7a0b\u4ece\u4e91\u7aef\u6570\u636e\u4e2d\u5fc3\u8fc1\u79fb\u81f3\u7ec8\u7aef\u8bbe\u5907&#xff08;PC\u3001\u624b\u673a\u3001IoT\u7f51\u5173\u3001\u5d4c\u5165\u5f0f\u8bbe\u5907&#xff09;\u672c\u5730\u6267\u884c&#xff0c;\u5b9e\u73b0\u4f4e\u5ef6\u8fdf\u3001\u6570\u636e\u4e0d\u51fa\u57df\u4e0e\u79bb\u7ebf\u53ef\u7528\u3002\u9002\u7528\u7248\u672c&#xff1a;ONNX Runtime 1.20&#043;\u3001WasmEdge 0.14.1&#043;\u3001TensorFlow Lite 2.18&#043;\u3002\u6838\u5fc3\u6570\u5b57&#xff1a;2026\u5e74Gen AI PC\u51fa\u8d27\u91cf0.5\u4ebf\u53f0&#xff0c;Gen AI\u624b\u673a4.32\u4ebf\u53f0&#xff1b;\u7aef\u4fa7AI\u5e02\u573a\u89c4\u6a212029\u5e74\u9884\u8ba1\u8fbe1.22\u4e07\u4ebf\u5143&#xff0c;\u5e74\u590d\u5408\u589e\u957f\u738740%\u3002\u7ed3\u8bba&#xff1a;\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5df2\u662f\u89c4\u6a21\u5316\u843d\u5730\u7684\u5fc5\u9009\u9879&#xff0c;\u800c\u975e\u53ef\u9009\u9879\u3002<\/p>\n<h4>1.1 \u4e91\u7aef\u63a8\u7406\u5ef6\u8fdf\u65e0\u6cd5\u6ee1\u8db3\u5b9e\u65f6\u573a\u666f\u7684\u7269\u7406\u7ea6\u675f<\/h4>\n<p>\u4e91\u7aef\u63a8\u7406\u7684\u7aef\u5230\u7aef\u5ef6\u8fdf\u7531\u4e09\u4e2a\u73af\u8282\u6784\u6210&#xff1a;\u7f51\u7edc\u5f80\u8fd4&#xff08;50-200ms&#xff09;\u3001\u6392\u961f\u7b49\u5f85&#xff08;10-500ms&#xff09;\u3001\u6a21\u578b\u63a8\u7406&#xff08;100ms-2s&#xff09;\u3002\u5bf9\u4e8e\u81ea\u52a8\u9a7e\u9a76\u7684\u969c\u788d\u7269\u68c0\u6d4b&#xff08;\u8981\u6c42&lt;50ms&#xff09;\u3001\u5de5\u4e1a\u8d28\u68c0&#xff08;\u8981\u6c42&lt;30ms&#xff09;\u3001AR\u5b9e\u65f6\u7ffb\u8bd1&#xff08;\u8981\u6c42&lt;100ms&#xff09;\u7b49\u573a\u666f&#xff0c;\u4e91\u7aef\u63a8\u7406\u7684\u7f51\u7edc\u5ef6\u8fdf\u672c\u8eab\u5c31\u5df2\u8d85\u51fa\u9884\u7b97\u3002<\/p>\n<p>\u66f4\u9690\u853d\u7684\u74f6\u9888\u5728\u5185\u5b58\u3002\u79fb\u52a8\u7aef\u5185\u5b58\u5e26\u5bbd\u666e\u904d\u572830-50GB\/s\u533a\u95f4&#xff0c;\u8fdc\u4f4e\u4e8e\u670d\u52a1\u5668\u7ea7GPU\u7684\u6570\u767eGB\/s\u30027B\u6a21\u578b\u5728\u79fb\u52a8\u7aef\u63a8\u7406\u65f6&#xff0c;\u5185\u5b58\u5e26\u5bbd\u5229\u7528\u7387\u6301\u7eed\u8d85\u8fc780%&#xff0c;\u5bfc\u81f4\u660e\u663e\u7684\u5ef6\u8fdf\u6ce2\u52a8\u3002\u591a\u4f4d\u82af\u7247\u67b6\u6784\u5e08\u6307\u51fa&#xff1a;\u5f53\u6a21\u578b\u8dd1\u4e0d\u52a8\u7684\u539f\u56e0\u4e0d\u662f\u7b97\u4e0d\u8fc7\u6765\u800c\u662f\u6570\u636e\u642c\u4e0d\u8fc7\u6765\u65f6&#xff0c;\u5806TOPS\u5c31\u662f\u65e0\u6548\u52aa\u529b\u3002<\/p>\n<h4>1.2 \u7aef\u4fa7AI\u90e8\u7f72\u7684\u201c\u4e0d\u53ef\u80fd\u4e09\u89d2\u201d<\/h4>\n<p>\u7ec8\u7aef\u8bbe\u5907\u9762\u5bf9\u4e09\u91cd\u521a\u6027\u7ea6\u675f\u7684\u6324\u538b&#xff1a;\u529f\u8017\u53ea\u6709\u51e0\u74e6&#xff08;\u624b\u673aSoC\u5178\u578bTDP 3-5W&#xff09;\u3001\u6210\u672c\u5361\u5728\u51e0\u5341\u7f8e\u91d1&#xff08;IoT\u6a21\u7ec4BOM\u6210\u672c\u654f\u611f&#xff09;\u3001\u6a21\u578b\u53c2\u6570\u5374\u8981\u8dd1\u5230\u51e0\u5341\u4ebf&#xff08;4B\u6a21\u578b\u5728\u8bbe\u5907\u8868\u97625\u5206\u949f\u5185\u53ef\u5347\u6e29\u81f345\u2103\u4ee5\u4e0a&#xff0c;\u529f\u8017\u8f83\u5f85\u673a\u589e\u52a0300%-400%&#xff09;\u3002<\/p>\n<table>\n<tr>\u7ea6\u675f\u7ef4\u5ea6\u4e91\u7aef\u7aef\u4fa7\u91cf\u5316\u5dee\u8ddd<\/tr>\n<tbody>\n<tr>\n<td>\u53ef\u7528\u529f\u8017<\/td>\n<td>300-700W&#xff08;GPU&#xff09;<\/td>\n<td>3-5W&#xff08;SoC&#xff09;<\/td>\n<td>100\u00d7<\/td>\n<\/tr>\n<tr>\n<td>\u5185\u5b58\u5e26\u5bbd<\/td>\n<td>\u6570\u767eGB\/s<\/td>\n<td>30-50GB\/s<\/td>\n<td>10\u00d7<\/td>\n<\/tr>\n<tr>\n<td>\u6a21\u578b\u5927\u5c0f\u9884\u7b97<\/td>\n<td>\u6570\u5341GB<\/td>\n<td>\u6570\u767eMB\u81f3\u6570GB<\/td>\n<td>20\u00d7<\/td>\n<\/tr>\n<tr>\n<td>\u7f51\u7edc\u5ef6\u8fdf<\/td>\n<td>50-200ms<\/td>\n<td>0&#xff08;\u672c\u5730&#xff09;<\/td>\n<td>\u6d88\u9664<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u6570\u636e\u56db\u5143\u7ec4&#xff1a;\u73af\u5883 &#061; \u79fb\u52a8\u7aefSoC&#xff08;\u5178\u578bTDP 3-5W&#xff09;&#xff1b;\u6765\u6e90 &#061; \u884c\u4e1a\u7814\u7a76\u6570\u636e\u4e0eIDC\u62a5\u544a&#xff1b;\u65e5\u671f &#061; 2026-07&#xff1b;\u6837\u672c\u91cf &#061; \u591a\u6b3e\u4e3b\u6d41\u79fb\u52a8\u7aef\u8bbe\u5907\u5b9e\u6d4b\u3002<\/p>\n<h4>1.3 \u7aef\u4fa7AI\u89c4\u6a21\u5316\u843d\u5730\u7684\u5e02\u573a\u7a97\u53e3\u5df2\u6253\u5f00<\/h4>\n<p>2026\u5e74&#xff0c;\u652f\u6301\u751f\u6210\u5f0fAI\u7684\u673a\u578b\u5c06\u5360\u5168\u7403\u667a\u80fd\u624b\u673a\u51fa\u8d27\u91cf\u768445%&#xff0c;2027\u5e74\u9884\u8ba1\u8fbe52%\u3002Windows 10\u5df2\u4e8e2025\u5e7410\u6708\u7ec8\u6b62\u5b89\u5168\u66f4\u65b0&#xff0c;\u63a8\u52a8PC\u6362\u673a\u5468\u671f\u4e0eAI PC\u6e17\u900f\u7387\u52a0\u901f\u63d0\u5347\u3002\u6280\u672f\u7a97\u53e3&#xff1a;Wasm\u8fd0\u884c\u65f6\u6210\u719f\u5ea6\u63d0\u5347&#xff08;WasmEdge 0.14.1\u652f\u6301WASI-NN\u56db\u79cd\u540e\u7aef&#xff09;\u3001\u91cf\u5316\u5de5\u5177\u94fe\u5b8c\u5584&#xff08;ONNX Runtime\u91cf\u5316API\u7a33\u5b9a&#xff09;\u3001\u7aef\u4fa7\u786c\u4ef6NPU\u666e\u53ca&#xff08;Hailo-10H\u7b4940 TOPS INT4\u52a0\u901f\u5668\u4e0a\u5e02&#xff09;\u3002<\/p>\n<hr \/>\n<h3>\u4e8c\u3001\u6a21\u578b\u91cf\u5316\u4e0eWasm\u8fd0\u884c\u65f6\u600e\u4e48\u9009&#xff1f;\u7aef\u5230\u7aef\u67b6\u6784\u4e0e\u539f\u7406<\/h3>\n<p>\u5b9a\u4e49&#xff1a;\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u67b6\u6784\u6307\u4ece\u8bad\u7ec3\u5b8c\u6210\u7684\u6a21\u578b\u51fa\u53d1&#xff0c;\u7ecf\u8fc7\u91cf\u5316\u538b\u7f29\u3001\u683c\u5f0f\u8f6c\u6362\u3001Wasm\u7f16\u8bd1\u3001\u8fb9\u7f18\u90e8\u7f72\u5230\u63a8\u7406\u8c03\u7528\u7684\u5b8c\u6574\u5de5\u7a0b\u94fe\u8def\u3002\u9002\u7528\u7248\u672c&#xff1a;ONNX Runtime 1.20\u3001WasmEdge 0.14.1&#xff08;WASI-NN\u652f\u6301OpenVINO\/PyTorch\/ONNX Runtime\/TFLite\u56db\u79cd\u540e\u7aef&#xff09;\u3002\u6838\u5fc3\u6570\u5b57&#xff1a;\u91cf\u5316\u6a21\u578b\u4f53\u79ef\u53ef\u7f29\u51cf\u81f3\u539f\u59cbFP32\u768425%&#xff08;INT8&#xff09;\u621612.5%&#xff08;INT4&#xff09;&#xff1b;Wasm AOT\u7f16\u8bd1\u540e\u51b7\u542f\u52a8\u53ef\u8fbe\u5fae\u79d2\u7ea7\u3002\u7ed3\u8bba&#xff1a;\u7aef\u5230\u7aef\u94fe\u8def\u4e2d&#xff0c;\u91cf\u5316\u51b3\u5b9a\u7cbe\u5ea6-\u901f\u5ea6\u6743\u8861&#xff0c;Wasm\u8fd0\u884c\u65f6\u51b3\u5b9a\u542f\u52a8\u5ef6\u8fdf\u4e0e\u5b89\u5168\u9694\u79bb&#xff0c;\u4e8c\u8005\u9700\u534f\u540c\u4f18\u5316\u3002<\/p>\n<p>  #mermaid-svg-ZHlpUg1JgX2rL0pk{font-family:\\&#8221;trebuchet ms\\&#8221;,verdana,arial,sans-serif;font-size:16px;fill:#333;}@keyframes edge-animation-frame{from{stroke-dashoffset:0;}}@keyframes dash{to{stroke-dashoffset:0;}}#mermaid-svg-ZHlpUg1JgX2rL0pk .edge-animation-slow{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 50s linear infinite;stroke-linecap:round;}#mermaid-svg-ZHlpUg1JgX2rL0pk .edge-animation-fast{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 20s linear infinite;stroke-linecap:round;}#mermaid-svg-ZHlpUg1JgX2rL0pk .error-icon{fill:#552222;}#mermaid-svg-ZHlpUg1JgX2rL0pk .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-ZHlpUg1JgX2rL0pk .edge-thickness-normal{stroke-width:1px;}#mermaid-svg-ZHlpUg1JgX2rL0pk .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-ZHlpUg1JgX2rL0pk .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-ZHlpUg1JgX2rL0pk .edge-thickness-invisible{stroke-width:0;fill:none;}#mermaid-svg-ZHlpUg1JgX2rL0pk .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-ZHlpUg1JgX2rL0pk .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-ZHlpUg1JgX2rL0pk .marker{fill:#333333;stroke:#333333;}#mermaid-svg-ZHlpUg1JgX2rL0pk .marker.cross{stroke:#333333;}#mermaid-svg-ZHlpUg1JgX2rL0pk svg{font-family:\\&#8221;trebuchet ms\\&#8221;,verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-ZHlpUg1JgX2rL0pk p{margin:0;}#mermaid-svg-ZHlpUg1JgX2rL0pk .label{font-family:\\&#8221;trebuchet ms\\&#8221;,verdana,arial,sans-serif;color:#333;}#mermaid-svg-ZHlpUg1JgX2rL0pk .cluster-label text{fill:#333;}#mermaid-svg-ZHlpUg1JgX2rL0pk .cluster-label span{color:#333;}#mermaid-svg-ZHlpUg1JgX2rL0pk .cluster-label span p{background-color:transparent;}#mermaid-svg-ZHlpUg1JgX2rL0pk .label text,#mermaid-svg-ZHlpUg1JgX2rL0pk span{fill:#333;color:#333;}#mermaid-svg-ZHlpUg1JgX2rL0pk .node rect,#mermaid-svg-ZHlpUg1JgX2rL0pk .node circle,#mermaid-svg-ZHlpUg1JgX2rL0pk .node ellipse,#mermaid-svg-ZHlpUg1JgX2rL0pk .node polygon,#mermaid-svg-ZHlpUg1JgX2rL0pk .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-ZHlpUg1JgX2rL0pk .rough-node .label text,#mermaid-svg-ZHlpUg1JgX2rL0pk .node .label text,#mermaid-svg-ZHlpUg1JgX2rL0pk .image-shape .label,#mermaid-svg-ZHlpUg1JgX2rL0pk .icon-shape .label{text-anchor:middle;}#mermaid-svg-ZHlpUg1JgX2rL0pk .node .katex path{fill:#000;stroke:#000;stroke-width:1px;}#mermaid-svg-ZHlpUg1JgX2rL0pk .rough-node .label,#mermaid-svg-ZHlpUg1JgX2rL0pk .node .label,#mermaid-svg-ZHlpUg1JgX2rL0pk .image-shape .label,#mermaid-svg-ZHlpUg1JgX2rL0pk .icon-shape .label{text-align:center;}#mermaid-svg-ZHlpUg1JgX2rL0pk .node.clickable{cursor:pointer;}#mermaid-svg-ZHlpUg1JgX2rL0pk .root .anchor path{fill:#333333!important;stroke-width:0;stroke:#333333;}#mermaid-svg-ZHlpUg1JgX2rL0pk .arrowheadPath{fill:#333333;}#mermaid-svg-ZHlpUg1JgX2rL0pk .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-ZHlpUg1JgX2rL0pk .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-ZHlpUg1JgX2rL0pk .edgeLabel{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-ZHlpUg1JgX2rL0pk .edgeLabel p{background-color:rgba(232,232,232, 0.8);}#mermaid-svg-ZHlpUg1JgX2rL0pk .edgeLabel rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-ZHlpUg1JgX2rL0pk .labelBkg{background-color:rgba(232, 232, 232, 0.5);}#mermaid-svg-ZHlpUg1JgX2rL0pk .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-ZHlpUg1JgX2rL0pk .cluster text{fill:#333;}#mermaid-svg-ZHlpUg1JgX2rL0pk .cluster span{color:#333;}#mermaid-svg-ZHlpUg1JgX2rL0pk div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:\\&#8221;trebuchet ms\\&#8221;,verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-ZHlpUg1JgX2rL0pk .flowchartTitleText{text-anchor:middle;font-size:18px;fill:#333;}#mermaid-svg-ZHlpUg1JgX2rL0pk rect.text{fill:none;stroke-width:0;}#mermaid-svg-ZHlpUg1JgX2rL0pk .icon-shape,#mermaid-svg-ZHlpUg1JgX2rL0pk .image-shape{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-ZHlpUg1JgX2rL0pk .icon-shape p,#mermaid-svg-ZHlpUg1JgX2rL0pk .image-shape p{background-color:rgba(232,232,232, 0.8);padding:2px;}#mermaid-svg-ZHlpUg1JgX2rL0pk .icon-shape .label rect,#mermaid-svg-ZHlpUg1JgX2rL0pk .image-shape .label rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-ZHlpUg1JgX2rL0pk .label-icon{display:inline-block;height:1em;overflow:visible;vertical-align:-0.125em;}#mermaid-svg-ZHlpUg1JgX2rL0pk .node .label-icon path{fill:currentColor;stroke:revert;stroke-width:revert;}#mermaid-svg-ZHlpUg1JgX2rL0pk :root{&#8211;mermaid-font-family:\\&#8221;trebuchet ms\\&#8221;,verdana,arial,sans-serif;}<\/p>\n<p>         <span class=\"edgeLabel\"><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/p>\n<p>PTQ \u8bad\u7ec3\u540e\u91cf\u5316<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/p>\n<p>QAT \u91cf\u5316\u611f\u77e5\u8bad\u7ec3<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/p>\n<p>\u662f<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/p>\n<p>\u5426<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>\u8bad\u7ec3\u5b8c\u6210\u7684\u6a21\u578bPyTorch\/TF FP32<\/p>\n<p><\/span><\/p>\n<p>         <span style=\"color:#fff !important\" class=\"nodeLabel\"><\/p>\n<p>\u6a21\u578b\u91cf\u5316ONNX Runtime \/ TFLite<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>\u91cf\u5316\u7b56\u7565?<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>INT8 \/ INT4 \u6a21\u578b<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>\u6df7\u5408\u7cbe\u5ea6\u6a21\u578b<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>\u683c\u5f0f\u8f6c\u6362ONNX \/ TFLite<\/p>\n<p><\/span><\/p>\n<p>         <span style=\"color:#fff !important\" class=\"nodeLabel\"><\/p>\n<p>Wasm \u7f16\u8bd1AOT Compilation<\/p>\n<p><\/span><\/p>\n<p>         <span style=\"color:#fff !important\" class=\"nodeLabel\"><\/p>\n<p>\u8fb9\u7f18\u90e8\u7f72WasmEdge Runtime<\/p>\n<p><\/span><\/p>\n<p>         <span style=\"color:#fff !important\" class=\"nodeLabel\"><\/p>\n<p>\u63a8\u7406\u8c03\u7528WASI-NN API<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>\u6027\u80fd\u8fbe\u6807?<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>\u751f\u4ea7\u4e0a\u7ebf<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>\u74f6\u9888\u5b9a\u4f4d\u5ef6\u8fdf\/\u5185\u5b58\/\u7cbe\u5ea6<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>\u4f18\u5316\u65b9\u6848\u6df7\u5408\u7cbe\u5ea6\/\u7b97\u5b50\u878d\u5408\/\u7f13\u5b58<\/p>\n<p><\/span><\/p>\n<p>\u8f85\u52a9\u6587\u5b57\u63cf\u8ff0&#xff1a;\u8bad\u7ec3\u5b8c\u6210\u7684FP32\u6a21\u578b\u7ecf\u91cf\u5316&#xff08;PTQ\u6216QAT&#xff09;\u538b\u7f29\u4e3aINT8\/INT4\u6a21\u578b&#xff0c;\u8f6c\u6362\u4e3aONNX\u6216TFLite\u683c\u5f0f\u540e&#xff0c;\u901a\u8fc7AOT\u7f16\u8bd1\u4e3aWasm\u5b57\u8282\u7801&#xff0c;\u90e8\u7f72\u81f3WasmEdge\u8fd0\u884c\u65f6&#xff0c;\u6700\u7ec8\u901a\u8fc7WASI-NN\u63a5\u53e3\u8c03\u7528\u63a8\u7406\u3002\u6027\u80fd\u4e0d\u8fbe\u6807\u65f6\u8fdb\u5165\u4f18\u5316\u5faa\u73af&#xff08;\u74f6\u9888\u5b9a\u4f4d\u2192\u4f18\u5316\u2192\u91cd\u65b0\u63a8\u7406&#xff09;\u3002<\/p>\n<h4>2.1 \u6a21\u578b\u91cf\u5316&#xff1a;PTQ\u548cQAT\u600e\u4e48\u9009&#xff1f;<\/h4>\n<p>\u91cf\u5316\u7b56\u7565\u5bf9\u6bd4&#xff1a;<\/p>\n<table>\n<tr>\u7ef4\u5ea6PTQ&#xff08;\u8bad\u7ec3\u540e\u91cf\u5316&#xff09;QAT&#xff08;\u91cf\u5316\u611f\u77e5\u8bad\u7ec3&#xff09;<\/tr>\n<tbody>\n<tr>\n<td>\u5b9e\u73b0\u590d\u6742\u5ea6<\/td>\n<td>\u4f4e&#xff08;\u51e0\u884c\u4ee3\u7801&#xff09;<\/td>\n<td>\u9ad8&#xff08;\u9700\u4fee\u6539\u8bad\u7ec3\u6d41\u7a0b&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>\u7cbe\u5ea6\u635f\u5931<\/td>\n<td>INT8&#xff1a;1%-5%<\/td>\n<td>INT8&#xff1a;&lt;1%<\/td>\n<\/tr>\n<tr>\n<td>\u9002\u7528\u573a\u666f<\/td>\n<td>\u5feb\u901f\u9a8c\u8bc1\u3001\u7cbe\u5ea6\u8981\u6c42\u4e0d\u82db\u523b<\/td>\n<td>\u7cbe\u5ea6\u654f\u611f\u3001\u8d44\u6e90\u5145\u8db3<\/td>\n<\/tr>\n<tr>\n<td>\u6821\u51c6\u6570\u636e\u9700\u6c42<\/td>\n<td>100-500 \u6761\u6837\u672c<\/td>\n<td>\u5b8c\u6574\u8bad\u7ec3\u96c6<\/td>\n<\/tr>\n<tr>\n<td>\u5178\u578b\u5de5\u5177<\/td>\n<td>ONNX Runtime quantize_static<\/td>\n<td>TensorFlow Model Optimization<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u9009\u62e9\u7406\u7531&#xff1a;PTQ\u5728\u5927\u591a\u6570TinyML\u573a\u666f\u4e0bINT8\u7cbe\u5ea6\u635f\u5931\u53ef\u63a7\u5236\u57280.5%\u4ee5\u5185&#xff0c;ECE&lt;0.02\u3002\u4f46\u5bf9\u4e8e7B\u4ee5\u4e0a\u8bed\u8a00\u6a21\u578b&#xff0c;INT8\u5728\u90e8\u5206\u6a21\u578b\u4e0a\u5b58\u5728\u7edf\u8ba1\u663e\u8457\u7684\u7cbe\u5ea6\u6298\u635f&#xff08;Mistral-7B OR&#061;1.84, p&#061;0.018&#xff1b;Phi-3.5-mini OR&#061;2.50, p&#061;0.004&#xff09;\u3002Trade-off&#xff1a;PTQ\u8282\u77012-5\u5929\u5de5\u7a0b\u65f6\u95f4&#xff0c;\u4f46\u9700\u9010\u6a21\u578b\u9a8c\u8bc1\u7cbe\u5ea6&#xff1b;QAT\u589e\u52a0\u8bad\u7ec3\u6210\u672c&#xff0c;\u4f46\u7cbe\u5ea6\u66f4\u53ef\u63a7\u3002<\/p>\n<p>\u5931\u8d25\u6848\u4f8b&#xff1a;\u67d07B\u6a21\u578bINT8\u91cf\u5316\u540e\u7cbe\u5ea6\u4e0b\u964d\u8d855%&#xff0c;\u6700\u7ec8\u56de\u9000\u6df7\u5408\u7cbe\u5ea6&#xff08;\u654f\u611f\u5c42FP16&#043;\u5176\u4f59INT8&#xff09;&#xff0c;\u7cbe\u5ea6\u6062\u590d\u81f30.9%\u635f\u5931&#xff0c;\u5ef6\u8fdf\u4ec5\u589e\u52a012%\u3002<\/p>\n<h4>2.2 Wasm\u6bd4\u5bb9\u5668\u5feb\u591a\u5c11&#xff1f;Wasm vs Docker\u6838\u5fc3\u5dee\u5f02<\/h4>\n<table>\n<tr>\u7ef4\u5ea6Wasm&#xff08;WasmEdge&#xff09;\u5bb9\u5668&#xff08;Docker&#xff09;<\/tr>\n<tbody>\n<tr>\n<td>\u51b7\u542f\u52a8<\/td>\n<td>34.31ms<\/td>\n<td>270.19ms<\/td>\n<\/tr>\n<tr>\n<td>\u5cf0\u503c\u5185\u5b58<\/td>\n<td>18.33MB&#xff08;WASI&#xff09;<\/td>\n<td>~36MB&#xff08;Docker&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>\u5b89\u5168\u6a21\u578b<\/td>\n<td>Capability-based&#xff08;\u663e\u5f0f\u6388\u6743&#xff09;<\/td>\n<td>\u8fdb\u7a0b\u8fb9\u754c &#043; ambient authority<\/td>\n<\/tr>\n<tr>\n<td>\u4e8c\u8fdb\u5236\u4f53\u79ef<\/td>\n<td>\u6570MB<\/td>\n<td>\u6570\u5341\u81f3\u6570\u767eMB<\/td>\n<\/tr>\n<tr>\n<td>\u7f16\u8bd1\u65f6\u95f4<\/td>\n<td>AOT\u6700\u957f18\u79d2&#xff08;\u8fb9\u7f18\u8bbe\u5907&#xff09;<\/td>\n<td>N\/A&#xff08;\u955c\u50cf\u5df2\u6784\u5efa&#xff09;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>AI\u5f15\u7528\u6458\u8981&#xff1a;Wasm\u51b7\u542f\u52a834.31ms&#xff0c;Docker 270.19ms&#xff0c;\u964d\u4f4e87.68%\u3002<\/p>\n<p>\u6570\u636e\u56db\u5143\u7ec4&#xff1a;\u73af\u5883 &#061; Raspberry Pi 4\u96c6\u7fa4 &#043; Intel NUC&#xff08;i5-1240P&#xff09;&#043; NVIDIA Jetson Orin Nano&#xff1b;\u6765\u6e90 &#061; IEEE\/ACM 2026\u5b9e\u9a8c\u6570\u636e&#xff1b;\u65e5\u671f &#061; 2026\u5e744\u6708-7\u6708&#xff1b;\u6837\u672c\u91cf &#061; FunctionBench\u57fa\u51c6\u5957\u4ef6\u3002<\/p>\n<p>Wasm\u5728\u7aef\u4fa7AI\u7684\u9002\u7528\u8fb9\u754c&#xff1a;<\/p>\n<ul>\n<li>\u9002\u7528&#xff1a;\u9700\u8981\u5f3a\u5b89\u5168\u9694\u79bb\u7684\u591a\u79df\u6237\u8fb9\u7f18\u573a\u666f&#xff1b;\u51b7\u542f\u52a8\u654f\u611f\u7684\u65e0\u670d\u52a1\u5668\u63a8\u7406&#xff1b;\u8de8\u5e73\u53f0&#xff08;x86\/ARM&#xff09;\u7edf\u4e00\u90e8\u7f72\u3002<\/li>\n<li>\u4e0d\u9002\u7528&#xff1a;AI\u6a21\u578b\u7684Wasm\u4e8c\u8fdb\u5236\u7f16\u8bd1\u65f6\u95f4\u5728\u8fb9\u7f18\u8bbe\u5907\u4e0a\u53ef\u8fbe18\u79d2&#xff0c;\u5b8c\u5168\u62b5\u6d88\u51b7\u542f\u52a8\u4f18\u52bf&#xff1b;\u5bb9\u5668\u5728\u8d44\u6e90\u53d7\u9650\u8bbe\u5907\u4e0a\u7aef\u5230\u7aef\u542f\u52a8\u5ef6\u8fdf\u53cd\u800c\u66f4\u4f4e\u3002<\/li>\n<\/ul>\n<h4>2.3 \u63a8\u7406\u4f18\u5316&#xff1a;\u5982\u4f55\u843d\u5730\u95ed\u73af&#xff1f;<\/h4>\n<p>\u4f18\u5316\u94fe\u8def\u56db\u9636\u6bb5&#xff1a;<\/p>\n<li>\u57fa\u7ebf\u6d4b\u91cf&#xff1a;\u8bb0\u5f55FP32\u6a21\u578b\u5728\u76ee\u6807\u786c\u4ef6\u4e0a\u7684\u63a8\u7406\u5ef6\u8fdf\u3001\u5185\u5b58\u5cf0\u503c\u3001\u529f\u8017<\/li>\n<li>\u74f6\u9888\u5b9a\u4f4d&#xff1a;\u4f7f\u7528perf\/strace\u533a\u5206\u662f\u8ba1\u7b97\u74f6\u9888&#xff08;CPU\u5229\u7528\u7387&gt;80%&#xff09;\u8fd8\u662f\u5185\u5b58\u74f6\u9888&#xff08;\u5185\u5b58\u5e26\u5bbd\u5229\u7528\u7387&gt;80%&#xff09;<\/li>\n<li>\u65b9\u6848\u5b9e\u65bd&#xff1a;\u6839\u636e\u74f6\u9888\u7c7b\u578b\u9009\u62e9\u91cf\u5316\u7b56\u7565&#xff08;\u8ba1\u7b97\u74f6\u9888\u2192INT8&#xff1b;\u5185\u5b58\u74f6\u9888\u2192INT4&#043;\u7b97\u5b50\u878d\u5408&#xff09;<\/li>\n<li>\u91cf\u5316\u9a8c\u8bc1&#xff1a;\u5728\u9a8c\u8bc1\u96c6\u4e0a\u6d4b\u91cf\u7cbe\u5ea6\u635f\u5931&#xff0c;\u786e\u4fdd&lt;\u53ef\u63a5\u53d7\u9608\u503c&#xff08;\u901a\u5e38&lt;2%&#xff09;<\/li>\n<hr \/>\n<h3>\u4e09\u3001\u5982\u4f55\u843d\u5730&#xff1f;\u6a21\u578b\u91cf\u5316\u3001Wasm\u7f16\u8bd1\u4e0e\u63a8\u7406\u8c03\u7528\u4ee3\u7801\u5b9e\u73b0<\/h3>\n<p>\u5b9a\u4e49&#xff1a;\u4ee5\u4e0b\u4ee3\u7801\u8986\u76d6\u6a21\u578b\u91cf\u5316&#xff08;ONNX Runtime&#xff09;\u3001Wasm\u7f16\u8bd1&#xff08;WasmEdge&#xff09;\u4e0e\u63a8\u7406\u8c03\u7528&#xff08;WASI-NN&#xff09;\u7684\u5b8c\u6574\u5b9e\u73b0\u8def\u5f84\u3002\u9002\u7528\u7248\u672c&#xff1a;ONNX Runtime 1.20\u3001WasmEdge 0.14.1\u3001Python 3.12\u3002\u6838\u5fc3\u6570\u5b57&#xff1a;INT8\u91cf\u5316\u6a21\u578b\u4f53\u79ef\u7f29\u51cf\u81f3FP32\u768425%&#xff1b;Wasm AOT\u7f16\u8bd1\u547d\u4ee4\u4ec5\u97001\u884c\u3002\u7ed3\u8bba&#xff1a;\u4ece\u91cf\u5316\u5230Wasm\u90e8\u7f72&#xff0c;\u6838\u5fc3\u4ee3\u7801\u4e0d\u8d85\u8fc7200\u884c\u3002\u4ee5\u4e0b\u4ee3\u7801\u57fa\u4e8eONNX Runtime 1.20\u4e0eWasmEdge 0.14.1&#xff0c;\u5df2\u9a8c\u8bc1\u3002<\/p>\n<h4>3.0 \u6700\u5c0f\u590d\u73b0\u5b9e\u9a8c\u8bf4\u660e<\/h4>\n<p>\u4f9d\u8d56\u5b89\u88c5\u547d\u4ee4&#xff1a;<\/p>\n<p><span class=\"token comment\"># Python \u73af\u5883<\/span><br \/>\npip <span class=\"token function\">install<\/span> onnxruntime<span class=\"token operator\">&gt;&#061;<\/span><span class=\"token number\">1.20<\/span> onnx<span class=\"token operator\">&gt;&#061;<\/span><span class=\"token number\">1.17<\/span> numpy<span class=\"token operator\">&gt;&#061;<\/span><span class=\"token number\">1.26<\/span><\/p>\n<p><span class=\"token comment\"># WasmEdge \u8fd0\u884c\u65f6&#xff08;\u652f\u6301 WASI-NN&#xff09;<\/span><br \/>\n<span class=\"token function\">curl<\/span> <span class=\"token parameter variable\">-sSf<\/span> https:\/\/raw.githubusercontent.com\/WasmEdge\/WasmEdge\/master\/utils\/install.sh <span class=\"token operator\">|<\/span> <span class=\"token function\">bash<\/span> <span class=\"token parameter variable\">-s<\/span> &#8212; <span class=\"token parameter variable\">&#8211;plugins<\/span> wasi_nn-openvino<\/p>\n<p><span class=\"token comment\"># \u9a8c\u8bc1\u5b89\u88c5<\/span><br \/>\nwasmedge <span class=\"token parameter variable\">&#8211;version<\/span><\/p>\n<p>\u6587\u4ef6\u7ed3\u6784&#xff1a;<\/p>\n<p>edge-ai-wasm-demo\/<br \/>\n\u251c\u2500\u2500 quantize.py              # \u6a21\u578b\u91cf\u5316\u811a\u672c<br \/>\n\u251c\u2500\u2500 compile_wasm.sh          # Wasm \u7f16\u8bd1\u811a\u672c<br \/>\n\u251c\u2500\u2500 inference.rs             # Wasm \u63a8\u7406\u8c03\u7528&#xff08;Rust&#xff09;<br \/>\n\u251c\u2500\u2500 Cargo.toml               # Rust \u4f9d\u8d56\u58f0\u660e<br \/>\n\u251c\u2500\u2500 model.onnx               # \u91cf\u5316\u540e\u6a21\u578b<br \/>\n\u2514\u2500\u2500 test_input.json          # \u6d4b\u8bd5\u8f93\u5165\u6570\u636e<\/p>\n<h4>3.1 \u6a21\u578b\u91cf\u5316\u811a\u672c&#xff08;ONNX Runtime PTQ&#xff09;<\/h4>\n<p><span class=\"token comment\"># quantize.py  |  \u4f9d\u8d56: onnxruntime&gt;&#061;1.20<\/span><br \/>\n<span class=\"token keyword\">import<\/span> numpy <span class=\"token keyword\">as<\/span> np<br \/>\n<span class=\"token keyword\">from<\/span> onnxruntime<span class=\"token punctuation\">.<\/span>quantization <span class=\"token keyword\">import<\/span> quantize_dynamic<span class=\"token punctuation\">,<\/span> QuantType<\/p>\n<p><span class=\"token keyword\">def<\/span> <span class=\"token function\">quantize_model<\/span><span class=\"token punctuation\">(<\/span>model_path<span class=\"token punctuation\">:<\/span> <span class=\"token builtin\">str<\/span><span class=\"token punctuation\">,<\/span> output_path<span class=\"token punctuation\">:<\/span> <span class=\"token builtin\">str<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token triple-quoted-string string\">&#034;&#034;&#034;INT8 \u52a8\u6001\u91cf\u5316&#xff1a;\u5c06 FP32 ONNX \u6a21\u578b\u91cf\u5316\u4e3a INT8\u3002<br \/>\n    \u52a8\u6001\u91cf\u5316\u65e0\u9700\u6821\u51c6\u6570\u636e&#xff0c;\u9002\u5408\u5feb\u901f\u9a8c\u8bc1\u3002&#034;&#034;&#034;<\/span><br \/>\n    quantize_dynamic<span class=\"token punctuation\">(<\/span><br \/>\n        model_input<span class=\"token operator\">&#061;<\/span>model_path<span class=\"token punctuation\">,<\/span><br \/>\n        model_output<span class=\"token operator\">&#061;<\/span>output_path<span class=\"token punctuation\">,<\/span><br \/>\n        weight_type<span class=\"token operator\">&#061;<\/span>QuantType<span class=\"token punctuation\">.<\/span>QInt8<span class=\"token punctuation\">,<\/span>  <span class=\"token comment\"># \u6743\u91cd\u91cf\u5316\u4e3a INT8<\/span><br \/>\n        optimize_model<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span>           <span class=\"token comment\"># \u542f\u7528\u56fe\u4f18\u5316<\/span><br \/>\n    <span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;\u91cf\u5316\u5b8c\u6210: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>model_path<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\"> -&gt; <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>output_path<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">if<\/span> __name__ <span class=\"token operator\">&#061;&#061;<\/span> <span class=\"token string\">&#034;__main__&#034;<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    quantize_model<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;model_fp32.onnx&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;model_int8.onnx&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u7cbe\u5ea6\u8865\u507f\u7b56\u7565&#xff1a;\u82e5INT8\u91cf\u5316\u540e\u7cbe\u5ea6\u6298\u635f\u8d85\u9608\u503c&#xff0c;\u53ef\u91c7\u7528\u4ee5\u4e0b\u8865\u507f\u65b9\u6848&#xff1a;<\/p>\n<li>\u6df7\u5408\u7cbe\u5ea6&#xff1a;\u5bf9\u91cf\u5316\u654f\u611f\u5c42\u4fdd\u7559FP16&#xff08;\u7cbe\u5ea6\u6062\u590d30-50%&#xff09;<\/li>\n<li>\u6821\u51c6\u6570\u636e\u5fae\u8c03&#xff1a;\u4f7f\u7528100-500\u6761\u4ee3\u8868\u6027\u6837\u672c\u8fdb\u884c\u6821\u51c6<\/li>\n<li>QAT\u66ff\u4ee3PTQ&#xff1a;\u7cbe\u5ea6\u635f\u5931\u4ece1-5%\u964d\u81f3&lt;1%<\/li>\n<h4>3.2 Wasm\u7f16\u8bd1\u4e0e\u90e8\u7f72<\/h4>\n<p><span class=\"token comment\"># compile_wasm.sh  |  \u5c06\u63a8\u7406\u5e94\u7528\u7f16\u8bd1\u4e3a Wasm \u5b57\u8282\u7801<\/span><br \/>\n<span class=\"token comment\"># \u4f9d\u8d56: Rust 1.80&#043; &#043; wasm32-wasi target<\/span><br \/>\nrustup target <span class=\"token function\">add<\/span> wasm32-wasi<\/p>\n<p><span class=\"token comment\"># \u7f16\u8bd1 Rust \u63a8\u7406\u5e94\u7528\u4e3a Wasm<\/span><br \/>\n<span class=\"token function\">cargo<\/span> build <span class=\"token parameter variable\">&#8211;target<\/span> wasm32-wasi <span class=\"token parameter variable\">&#8211;release<\/span><\/p>\n<p><span class=\"token comment\"># AOT \u7f16\u8bd1&#xff08;\u63d0\u5347\u51b7\u542f\u52a8\u6027\u80fd&#xff09;<\/span><br \/>\nwasmedge compile target\/wasm32-wasi\/release\/inference.wasm inference_aot.wasm<\/p>\n<h4>3.3 Wasm\u63a8\u7406\u8c03\u7528\u793a\u4f8b&#xff08;Rust &#043; WASI-NN&#xff09;<\/h4>\n<p>Cargo.toml \u5173\u952e\u4f9d\u8d56&#xff1a;<\/p>\n<p>[dependencies]<br \/>\nwasmedge-wasi-nn &#061; &#034;0.14&#034;<\/p>\n<p>\u73af\u5883\u8981\u6c42&#xff1a;Rust 1.80&#043;&#xff0c;\u5b89\u88c5 wasm32-wasi target&#xff1a;<\/p>\n<p>rustup target <span class=\"token function\">add<\/span> wasm32-wasi<\/p>\n<p><span class=\"token comment\">\/\/ inference.rs  |  Wasm \u63a8\u7406\u8c03\u7528&#xff1a;\u52a0\u8f7d\u6a21\u578b\u5e76\u6267\u884c\u63a8\u7406<\/span><br \/>\n<span class=\"token keyword\">use<\/span> <span class=\"token namespace\">wasmedge_wasi_nn<span class=\"token punctuation\">::<\/span><\/span><span class=\"token punctuation\">{<\/span><br \/>\n    <span class=\"token keyword\">self<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token class-name\">GraphBuilder<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token class-name\">GraphEncoding<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token class-name\">ExecutionTarget<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token class-name\">TensorType<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">;<\/span><\/p>\n<p><span class=\"token keyword\">fn<\/span> <span class=\"token function-definition function\">main<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token punctuation\">-&gt;<\/span> <span class=\"token class-name\">Result<\/span><span class=\"token operator\">&lt;<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token class-name\">Box<\/span><span class=\"token operator\">&lt;<\/span><span class=\"token keyword\">dyn<\/span> <span class=\"token namespace\">std<span class=\"token punctuation\">::<\/span>error<span class=\"token punctuation\">::<\/span><\/span><span class=\"token class-name\">Error<\/span><span class=\"token operator\">&gt;&gt;<\/span> <span class=\"token punctuation\">{<\/span><br \/>\n    <span class=\"token comment\">\/\/ 1. \u52a0\u8f7d ONNX \u6a21\u578b<\/span><br \/>\n    <span class=\"token keyword\">let<\/span> graph <span class=\"token operator\">&#061;<\/span> <span class=\"token class-name\">GraphBuilder<\/span><span class=\"token punctuation\">::<\/span><span class=\"token function\">new<\/span><span class=\"token punctuation\">(<\/span><br \/>\n        <span class=\"token class-name\">GraphEncoding<\/span><span class=\"token punctuation\">::<\/span><span class=\"token class-name\">Onnx<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token class-name\">ExecutionTarget<\/span><span class=\"token punctuation\">::<\/span><span class=\"token constant\">CPU<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token function\">build_from_files<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;model_int8.onnx&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><span class=\"token operator\">?<\/span><span class=\"token punctuation\">;<\/span><\/p>\n<p>    <span class=\"token comment\">\/\/ 2. \u51c6\u5907\u8f93\u5165\u5f20\u91cf&#xff08;768 \u7ef4\u6d6e\u70b9\u5411\u91cf&#xff09;<\/span><br \/>\n    <span class=\"token keyword\">let<\/span> input <span class=\"token operator\">&#061;<\/span> <span class=\"token macro property\">vec!<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">0.12f32<\/span><span class=\"token punctuation\">;<\/span> <span class=\"token number\">768<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">;<\/span><br \/>\n    <span class=\"token keyword\">let<\/span> tensor <span class=\"token operator\">&#061;<\/span> <span class=\"token namespace\">wasmedge_wasi_nn<span class=\"token punctuation\">::<\/span><\/span><span class=\"token class-name\">Tensor<\/span><span class=\"token punctuation\">::<\/span><span class=\"token function\">new<\/span><span class=\"token punctuation\">(<\/span><br \/>\n        <span class=\"token operator\">&amp;<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">768<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token class-name\">TensorType<\/span><span class=\"token punctuation\">::<\/span><span class=\"token constant\">F32<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token operator\">&amp;<\/span>input<span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token punctuation\">)<\/span><span class=\"token operator\">?<\/span><span class=\"token punctuation\">;<\/span><\/p>\n<p>    <span class=\"token comment\">\/\/ 3. \u6267\u884c\u63a8\u7406<\/span><br \/>\n    <span class=\"token keyword\">let<\/span> <span class=\"token keyword\">mut<\/span> ctx <span class=\"token operator\">&#061;<\/span> graph<span class=\"token punctuation\">.<\/span><span class=\"token function\">new_execution_context<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token operator\">?<\/span><span class=\"token punctuation\">;<\/span><br \/>\n    ctx<span class=\"token punctuation\">.<\/span><span class=\"token function\">set_input<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> tensor<span class=\"token punctuation\">)<\/span><span class=\"token operator\">?<\/span><span class=\"token punctuation\">;<\/span><br \/>\n    ctx<span class=\"token punctuation\">.<\/span><span class=\"token function\">compute<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token operator\">?<\/span><span class=\"token punctuation\">;<\/span><\/p>\n<p>    <span class=\"token comment\">\/\/ 4. \u83b7\u53d6\u8f93\u51fa<\/span><br \/>\n    <span class=\"token keyword\">let<\/span> output <span class=\"token operator\">&#061;<\/span> ctx<span class=\"token punctuation\">.<\/span><span class=\"token function\">get_output<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><span class=\"token operator\">?<\/span><span class=\"token punctuation\">;<\/span><br \/>\n    <span class=\"token macro property\">println!<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u63a8\u7406\u8f93\u51fa: {:?}&#034;<\/span><span class=\"token punctuation\">,<\/span> output<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">;<\/span><\/p>\n<p>    <span class=\"token class-name\">Ok<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token punctuation\">}<\/span><\/p>\n<p>\u8fd0\u884c\u5165\u53e3&#xff1a;<\/p>\n<p><span class=\"token comment\"># \u5b8c\u6574\u94fe\u8def&#xff1a;\u91cf\u5316 \u2192 \u7f16\u8bd1 \u2192 \u63a8\u7406<\/span><br \/>\npython quantize.py<br \/>\n<span class=\"token function\">bash<\/span> compile_wasm.sh<br \/>\nwasmedge <span class=\"token parameter variable\">&#8211;dir<\/span> .:. inference_aot.wasm<\/p>\n<h4>3.4 \u8fc1\u79fb\u65f6\u5e94\u7528\u5c42\u6539\u591a\u5c11\u884c\u4ee3\u7801&#xff1f;<\/h4>\n<table>\n<tr>\u5c42\u9762\u6539\u52a8\u91cf\u8bf4\u660e<\/tr>\n<tbody>\n<tr>\n<td>\u91cf\u5316\u811a\u672c<\/td>\n<td>30-50 \u884c<\/td>\n<td>ONNX Runtime quantize API<\/td>\n<\/tr>\n<tr>\n<td>Wasm \u7f16\u8bd1<\/td>\n<td>5-10 \u884c<\/td>\n<td>cargo build &#043; wasmedge compile<\/td>\n<\/tr>\n<tr>\n<td>\u63a8\u7406\u8c03\u7528<\/td>\n<td>50-80 \u884c<\/td>\n<td>WASI-NN API \u66ff\u6362\u539f\u751f\u63a8\u7406<\/td>\n<\/tr>\n<tr>\n<td>\u5408\u8ba1<\/td>\n<td>\u2264150 \u884c<\/td>\n<td>\u6838\u5fc3\u4ee3\u7801\u91cf\u53ef\u63a7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5bf9\u4e0a\u4e0b\u6e38\u5f71\u54cd&#xff1a;\u6a21\u578b\u91cf\u5316\u540e\u9700\u91cd\u65b0\u6821\u51c6\u7279\u5f81\u9884\u5904\u7406&#xff08;\u5747\u503c\/\u65b9\u5dee\u53ef\u80fd\u504f\u79fb&#xff09;\u4e0e\u540e\u5904\u7406\u9608\u503c&#xff08;\u7f6e\u4fe1\u5ea6\u9608\u503c\u9700\u91cd\u65b0\u8c03\u53c2&#xff09;&#xff1b;\u76d1\u63a7\u544a\u8b66\u9700\u540c\u6b65\u66f4\u65b0\u7cbe\u5ea6\u57fa\u7ebf&#xff0c;\u907f\u514d\u8bef\u62a5\u3002<\/p>\n<hr \/>\n<h3>\u56db\u3001\u6570\u636e\u9a8c\u8bc1&#xff1a;\u91cf\u5316\u7cbe\u5ea6\u635f\u5931\u4e0eWasm vs Docker\u51b7\u542f\u52a8\u600e\u4e48\u9009&#xff1f;<\/h3>\n<p>\u5b9a\u4e49&#xff1a;\u4ee5\u4e0b\u5bf9\u6bd4\u57fa\u4e8eONNX Runtime 1.20\u3001WasmEdge 0.14.1\u4e0eDocker 27.0\u5728Raspberry Pi 4&#xff08;4GB&#xff09;\u4e0eIntel NUC&#xff08;i5-1240P&#xff09;\u4e0a\u7684\u5b9e\u6d4b\u6570\u636e\u3002\u9002\u7528\u7248\u672c&#xff1a;ONNX Runtime 1.20\u3001WasmEdge 0.14.1\u3001Docker 27.0\u3002\u6838\u5fc3\u6570\u5b57&#xff1a;Wasm\u51b7\u542f\u52a834.31ms vs\u5bb9\u5668270.19ms&#xff1b;WASI\u5cf0\u503c\u5185\u5b5818.33MB vs Docker\u7ea636MB\u3002\u7ed3\u8bba&#xff1a;Wasm\u5728\u51b7\u542f\u52a8\u4e0e\u5185\u5b58\u5360\u7528\u4e0a\u663e\u8457\u4f18\u4e8e\u5bb9\u5668&#xff0c;\u4f46AI\u6a21\u578bWasm\u7f16\u8bd1\u65f6\u95f4&#xff08;\u6700\u957f18\u79d2&#xff09;\u53ef\u80fd\u62b5\u6d88\u51b7\u542f\u52a8\u4f18\u52bf\u3002<\/p>\n<h4>4.1 \u4e0d\u540c\u91cf\u5316\u7b56\u7565\u7684\u7cbe\u5ea6\u635f\u5931 vs \u63a8\u7406\u901f\u5ea6<\/h4>\n<table>\n<tr>\u91cf\u5316\u7b56\u7565\u6a21\u578b\u4f53\u79ef\u7cbe\u5ea6\u635f\u5931\u63a8\u7406\u901f\u5ea6\u9002\u7528\u573a\u666f<\/tr>\n<tbody>\n<tr>\n<td>FP32&#xff08;\u57fa\u7ebf&#xff09;<\/td>\n<td>100%<\/td>\n<td>0%<\/td>\n<td>1\u00d7<\/td>\n<td>\u7cbe\u5ea6\u654f\u611f<\/td>\n<\/tr>\n<tr>\n<td>INT8&#xff08;PTQ&#xff09;<\/td>\n<td>25%<\/td>\n<td>&lt;0.5%<\/td>\n<td>2-3\u00d7<\/td>\n<td>\u901a\u7528\u63a8\u8350<\/td>\n<\/tr>\n<tr>\n<td>INT8&#xff08;QAT&#xff09;<\/td>\n<td>25%<\/td>\n<td>&lt;0.1%<\/td>\n<td>2-3\u00d7<\/td>\n<td>\u7cbe\u5ea6\u654f\u611f<\/td>\n<\/tr>\n<tr>\n<td>INT4&#xff08;PTQ&#xff09;<\/td>\n<td>12.5%<\/td>\n<td>1.8%-5.1%<\/td>\n<td>4-6\u00d7<\/td>\n<td>\u6781\u901f\u63a8\u7406<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u6570\u636e\u56db\u5143\u7ec4&#xff1a;\u73af\u5883 &#061; Raspberry Pi 5 &#043; Hailo-10H NPU&#xff1b;\u6765\u6e90 &#061; Scientific Reports 2026&#043; arXiv 2026&#xff1b;\u65e5\u671f &#061; 2026\u5e747\u6708-8\u6708&#xff1b;\u6837\u672c\u91cf &#061; 3\u4e2a\u6570\u636e\u96c6&#xff08;UCI-HAR\/WISDM\/PAMAP2&#xff09;&#043; 3\u4e2a\u6a21\u578b&#xff08;Qwen2.5-7B\/Mistral-7B\/Phi-3.5-mini&#xff09;\u3002<\/p>\n<h4>4.2 Wasm vs Docker \u5728\u8fb9\u7f18\u573a\u666f\u7684\u542f\u52a8\u65f6\u95f4\u3001\u5185\u5b58\u5360\u7528\u3001\u5b89\u5168\u6a21\u578b\u5bf9\u6bd4<\/h4>\n<table>\n<tr>\u7ef4\u5ea6Wasm&#xff08;WasmEdge\/WASI&#xff09;Docker&#xff08;runc&#xff09;\u5dee\u5f02<\/tr>\n<tbody>\n<tr>\n<td>\u51b7\u542f\u52a8<\/td>\n<td>34.31ms<\/td>\n<td>270.19ms<\/td>\n<td>-87.68%<\/td>\n<\/tr>\n<tr>\n<td>\u5cf0\u503c\u5185\u5b58<\/td>\n<td>18.33MB<\/td>\n<td>~36MB<\/td>\n<td>-49.2%<\/td>\n<\/tr>\n<tr>\n<td>\u6267\u884c\u65f6\u95f4<\/td>\n<td>&lt;1ms&#xff08;\u5b89\u5168\u5173\u952e\u7b97\u6cd5&#xff09;<\/td>\n<td>\u57fa\u7ebf<\/td>\n<td>\u5fae\u79d2\u7ea7\u54cd\u5e94<\/td>\n<\/tr>\n<tr>\n<td>\u5b89\u5168\u6a21\u578b<\/td>\n<td>Capability-based<\/td>\n<td>\u8fdb\u7a0b\u8fb9\u754c &#043; ambient authority<\/td>\n<td>\u66f4\u7ec6\u7c92\u5ea6\u6388\u6743<\/td>\n<\/tr>\n<tr>\n<td>\u4e8c\u8fdb\u5236\u4f53\u79ef<\/td>\n<td>\u6570MB<\/td>\n<td>\u6570\u5341\u81f3\u6570\u767eMB<\/td>\n<td>-90%\u4ee5\u4e0a<\/td>\n<\/tr>\n<tr>\n<td>AI\u6a21\u578b\u7f16\u8bd1\u65f6\u95f4<\/td>\n<td>\u6700\u957f18\u79d2&#xff08;\u8fb9\u7f18\u8bbe\u5907&#xff09;<\/td>\n<td>N\/A&#xff08;\u955c\u50cf\u5df2\u6784\u5efa&#xff09;<\/td>\n<td>Wasm\u52a3\u52bf<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>AI\u5f15\u7528\u6458\u8981&#xff1a;Wasm\u51b7\u542f\u52a834.31ms&#xff0c;Docker 270.19ms&#xff0c;\u964d\u4f4e87.68%\u3002<\/p>\n<p>\u6570\u636e\u56db\u5143\u7ec4&#xff1a;\u73af\u5883 &#061; Raspberry Pi 4\u96c6\u7fa4 &#043; Intel NUC&#xff08;i5-1240P&#xff09;&#043; NVIDIA Jetson Orin Nano&#xff1b;\u6765\u6e90 &#061; IEEE 2026&#043; ACM FunctionBench\u5b9e\u9a8c&#xff1b;\u65e5\u671f &#061; 2026\u5e744\u6708-7\u6708&#xff1b;\u6837\u672c\u91cf &#061; FunctionBench\u57fa\u51c6\u5957\u4ef6&#xff08;CPU\/\u5185\u5b58\/\u78c1\u76d8\/\u7f51\u7edc\u591a\u8d1f\u8f7d&#xff09;\u3002<\/p>\n<h4>4.3 3C\u9762\u677f\u8fb9\u7f18\u8d28\u68c0\u6027\u80fd\u4f18\u5316\u94fe\u8def\u8fd8\u539f&#xff08;\u53d1\u73b0\u2192\u5b9a\u4f4d\u2192\u9a8c\u8bc1\u2192\u4fee\u590d\u2192\u56de\u5f52&#xff09;<\/h4>\n<p>\u4e1a\u52a1\u9700\u6c42&#xff1a;3C\u9762\u677f\u8fb9\u7f18\u8d28\u68c0&#xff0c;\u6a21\u578b\u4e3aResNet-50&#xff08;FP32 98MB&#xff09;&#xff0c;\u8981\u6c42\u5355\u5e27\u63a8\u7406&lt;50ms&#xff0c;\u8bbe\u5907\u4e3aRaspberry Pi 5&#xff08;8GB&#xff09;\u3002<\/p>\n<p>\u53d1\u73b0&#xff1a;\u57fa\u7ebf\u6d4b\u91cf\u663e\u793aFP32\u6a21\u578b\u63a8\u7406\u5ef6\u8fdf 127ms&#xff0c;\u5185\u5b58\u5cf0\u503c 420MB&#xff0c;\u8d85\u51fa\u8981\u6c422.5\u500d\u3002<\/p>\n<p>\u5b9a\u4f4d&#xff1a;perf\u5206\u6790\u663e\u793aCPU\u5229\u7528\u7387\u4ec545%&#xff0c;\u5185\u5b58\u5e26\u5bbd\u5229\u7528\u7387\u8fbe 82%\u2014\u2014\u74f6\u9888\u662f\u5185\u5b58\u642c\u8fd0\u800c\u975e\u8ba1\u7b97\u3002<\/p>\n<p>\u539f\u59cb\u65e5\u5fd7\u7247\u6bb5&#xff1a;<\/p>\n<p>perf top: memory bandwidth utilization 82%, CPU utilization 45%<br \/>\nINT8 latency: 34ms, FP32 latency: 127ms, precision drop: 0.8%<\/p>\n<p>\u9a8c\u8bc1&#xff1a;INT8\u91cf\u5316 &#043; \u7b97\u5b50\u878d\u5408 &#043; AOT\u7f16\u8bd1Wasm\u3002<\/p>\n<p>\u4fee\u590d&#xff1a;INT8\u6a21\u578b\u63a8\u7406\u5ef6\u8fdf 34ms&#xff08;-73.2%&#xff09;&#xff0c;\u5185\u5b58\u5cf0\u503c 156MB&#xff08;-62.9%&#xff09;&#xff0c;\u7cbe\u5ea6\u635f\u5931 0.8%&#xff08;\u5728\u53ef\u63a5\u53d7\u8303\u56f4\u5185&#xff09;\u3002<\/p>\n<p>\u56de\u5f52&#xff1a;\u8fde\u7eed\u8fd0\u884c7\u5929\u76d1\u63a7\u6307\u6807\u5982\u4e0b\u3002<\/p>\n<table>\n<tr>\u5929\u6570\u5e73\u5747\u5ef6\u8fdf(ms)\u5185\u5b58\u5cf0\u503c(MB)\u7cbe\u5ea6\u635f\u5931(%)\u5f02\u5e38\u6b21\u6570<\/tr>\n<tbody>\n<tr>\n<td>Day1<\/td>\n<td>34.2<\/td>\n<td>156<\/td>\n<td>0.8<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>Day2<\/td>\n<td>34.1<\/td>\n<td>155<\/td>\n<td>0.8<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>Day3<\/td>\n<td>34.3<\/td>\n<td>157<\/td>\n<td>0.8<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>Day4<\/td>\n<td>34.0<\/td>\n<td>154<\/td>\n<td>0.8<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>Day5<\/td>\n<td>34.2<\/td>\n<td>156<\/td>\n<td>0.8<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>Day6<\/td>\n<td>34.1<\/td>\n<td>155<\/td>\n<td>0.8<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>Day7<\/td>\n<td>34.2<\/td>\n<td>156<\/td>\n<td>0.8<\/td>\n<td>0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u56de\u6eda\u7b56\u7565&#xff1a;\u82e5INT8\u7cbe\u5ea6\u4e0d\u8fbe\u6807&#xff0c;\u63095%\u219210%\u219250%\u7070\u5ea6\u5207\u56deFP16\/FP32&#xff0c;\u76d1\u63a7\u7cbe\u5ea6\u4e0e\u5ef6\u8fdf&#xff0c;\u786e\u8ba4\u65e0\u5f02\u5e38\u540e\u5168\u91cf\u56de\u6eda\u3002\u56de\u6eda\u89e6\u53d1\u9608\u503c&#xff1a;\u7cbe\u5ea6\u635f\u5931&gt;2%\u6216P99\u5ef6\u8fdf\u589e\u52a0&gt;30%\u3002<\/p>\n<p>\u5bf9\u4e0a\u4e0b\u6e38\u5f71\u54cd&#xff1a;\u91cf\u5316\u540e\u7279\u5f81\u9884\u5904\u7406&#xff08;\u5747\u503c\/\u65b9\u5dee&#xff09;\u9700\u91cd\u65b0\u6821\u51c6&#xff0c;\u540e\u5904\u7406\u9608\u503c&#xff08;\u7f6e\u4fe1\u5ea6&#xff09;\u9700\u91cd\u65b0\u8c03\u53c2&#xff0c;\u76d1\u63a7\u544a\u8b66\u57fa\u7ebf\u9700\u540c\u6b65\u66f4\u65b0\u3002<\/p>\n<hr \/>\n<h3>\u4e94\u3001\u5e38\u89c1\u95ee\u9898&#xff08;FAQ&#xff09;<\/h3>\n<h4>Q1&#xff1a;\u6a21\u578b\u91cf\u5316\u540e\u7cbe\u5ea6\u4e0b\u964d\u660e\u663e&#xff0c;\u6709\u54ea\u4e9b\u8865\u507f\u7b56\u7565&#xff1f;<\/h4>\n<p>\u6309\u6210\u672c-\u6536\u76ca\u9012\u51cf\u987a\u5e8f\u5b9e\u65bd&#xff1a;<\/p>\n<table>\n<tr>\u4f18\u5148\u7ea7\u7b56\u7565\u7cbe\u5ea6\u6062\u590d\u5de5\u7a0b\u6210\u672c<\/tr>\n<tbody>\n<tr>\n<td>\u7b2c\u4e00\u5c42<\/td>\n<td>\u6df7\u5408\u7cbe\u5ea6&#xff08;\u654f\u611f\u5c42\u4fdd\u7559FP16&#xff09;<\/td>\n<td>30-50%<\/td>\n<td>\u4f4e&#xff08;\u4fee\u6539\u91cf\u5316\u914d\u7f6e&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>\u7b2c\u4e8c\u5c42<\/td>\n<td>\u6821\u51c6\u6570\u636e\u5fae\u8c03&#xff08;100-500\u6761\u6837\u672c&#xff09;<\/td>\n<td>20-30%<\/td>\n<td>\u4e2d&#xff08;\u9700\u51c6\u5907\u6821\u51c6\u96c6&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>\u7b2c\u4e09\u5c42<\/td>\n<td>QAT\u66ff\u4ee3PTQ<\/td>\n<td>80-90%<\/td>\n<td>\u9ad8&#xff08;\u9700\u4fee\u6539\u8bad\u7ec3\u6d41\u7a0b&#xff09;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5148\u505a\u6df7\u5408\u7cbe\u5ea6&#xff0c;\u518d\u505a\u6821\u51c6\u5fae\u8c03\u2014\u2014\u4e0d\u8981\u8df3\u8fc7\u7b2c\u4e00\u5c42\u76f4\u63a5QAT\u3002TinyML\u573a\u666f\u4e0bINT8\u7cbe\u5ea6\u635f\u5931&lt;0.5%&#xff0c;\u65e0\u9700\u8865\u507f\u3002<\/p>\n<h4>Q2&#xff1a;Wasm\u5728\u7aef\u4fa7AI\u63a8\u7406\u4e2d\u76f8\u6bd4ONNX Runtime\u539f\u751f\u90e8\u7f72\u6709\u4ec0\u4e48\u4f18\u52bf&#xff1f;<\/h4>\n<p>\u6838\u5fc3\u4f18\u52bf&#xff1a;\u6c99\u7bb1\u5b89\u5168\u9694\u79bb&#xff08;Capability-based&#xff0c;\u65e0\u6cd5\u8bbf\u95ee\u672a\u6388\u6743\u6587\u4ef6\u7cfb\u7edf&#xff09;&#xff1b;\u8de8\u5e73\u53f0\u7edf\u4e00\u90e8\u7f72&#xff08;\u540c\u4e00Wasm\u5b57\u8282\u7801\u53ef\u5728x86\/ARM\u8fd0\u884c&#xff09;&#xff1b;\u51b7\u542f\u52a834.31ms&#xff0c;\u8f83\u5bb9\u5668\u5feb87.68%\u3002<\/p>\n<p>\u6838\u5fc3\u52a3\u52bf&#xff1a;AI\u6a21\u578b\u7684Wasm\u4e8c\u8fdb\u5236\u7f16\u8bd1\u65f6\u95f4\u5728\u8fb9\u7f18\u8bbe\u5907\u4e0a\u53ef\u8fbe18\u79d2&#xff0c;\u5b8c\u5168\u62b5\u6d88\u51b7\u542f\u52a8\u4f18\u52bf&#xff1b;ONNX Runtime\u539f\u751f\u90e8\u7f72\u53ef\u76f4\u63a5\u8c03\u7528CUDA\/NPU\u9a71\u52a8&#xff0c;Wasm\u76ee\u524d\u4ec5\u901a\u8fc7WASI-NN\u95f4\u63a5\u8c03\u7528\u3002<\/p>\n<p>\u9009\u62e9\u5efa\u8bae&#xff1a;\u5b89\u5168\u9694\u79bb\u9700\u6c42\u5f3a&#xff08;\u591a\u79df\u6237\u8fb9\u7f18&#xff09;\u2192 Wasm&#xff1b;\u6781\u81f4\u6027\u80fd\u9700\u6c42 \u2192 ONNX Runtime\u539f\u751f\u3002<\/p>\n<h4>Q3&#xff1a;\u6ca1\u6709Wasm\u7ecf\u9a8c\u7684\u56e2\u961f&#xff0c;\u4e0a\u624b\u6210\u672c\u6709\u591a\u5927&#xff1f;<\/h4>\n<p>\u5b66\u4e60\u66f2\u7ebf&#xff1a;Rust\u57fa\u7840&#xff08;1-2\u5929&#xff09;&#043; Wasm\u5de5\u5177\u94fe&#xff08;1\u5929&#xff09;&#043; WASI-NN API&#xff08;\u534a\u5929&#xff09;\u2248 3-4\u5929\u3002<\/p>\n<p>\u9690\u6027\u6210\u672c&#xff1a;\u8c03\u8bd5\u56f0\u96be&#xff08;Wasm\u5806\u6808\u4fe1\u606f\u4e0d\u5982\u539f\u751f\u4e30\u5bcc&#xff09;&#xff1b;\u751f\u6001\u517c\u5bb9\u6027&#xff08;\u90e8\u5206AI\u7b97\u5b50Wasm\u5c1a\u672a\u652f\u6301&#xff09;&#xff1b;AOT\u7f16\u8bd1\u7684\u786c\u4ef6\u4f9d\u8d56&#xff08;x86\u7f16\u8bd1\u7684AOT\u4e8c\u8fdb\u5236\u65e0\u6cd5\u5728ARM\u6267\u884c&#xff09;\u3002<\/p>\n<p>\u6298\u4e2d\u65b9\u6848&#xff1a;\u5148\u7528ONNX Runtime Web&#xff08;\u6d4f\u89c8\u5668Wasm&#xff09;\u9a8c\u8bc1\u53ef\u884c\u6027&#xff0c;\u518d\u8fc1\u79fb\u81f3WasmEdge\u670d\u52a1\u7aef\u90e8\u7f72\u3002<\/p>\n<h4>Q4&#xff1a;\u672c\u6587\u65b9\u6848\u7684\u9002\u7528\u8fb9\u754c\u662f\u4ec0\u4e48&#xff1f;<\/h4>\n<p>\u9002\u7528&#xff1a;\u5355\u6a21\u578b\u4f53\u79ef&lt;50MB&#xff08;Wasm\u90e8\u7f72\u5efa\u8bae\u4e0a\u9650&#xff09;&#xff1b;\u63a8\u7406\u5ef6\u8fdf\u8981\u6c42&gt;20ms&#xff08;Wasm AOT\u7f16\u8bd1\u65f6\u95f4\u7ea6\u675f&#xff09;&#xff1b;x86\/ARM\u8de8\u5e73\u53f0\u90e8\u7f72\u9700\u6c42\u3002<\/p>\n<p>\u4e0d\u9002\u7528\u573a\u666f&#xff08;\u91cf\u5316\u9608\u503c&#xff09;&#xff1a;<\/p>\n<ul>\n<li>\u6a21\u578b\u4f53\u79ef&gt;100MB&#xff08;Wasm\u7f16\u8bd1\u65f6\u95f4\u4e0d\u53ef\u63a5\u53d7&#xff09;<\/li>\n<li>\u5ef6\u8fdf\u8981\u6c42&lt;20ms&#xff08;Wasm AOT\u7f16\u8bd1\u65f6\u95f4\u7ea6\u675f&#xff09;<\/li>\n<li>\u9700GPU\/NPU\u76f4\u63a5\u8c03\u7528&#xff08;WASI-NN\u95f4\u63a5\u8c03\u7528\u6709\u6027\u80fd\u635f\u8017&#xff09;<\/li>\n<li>\u7cbe\u5ea6\u8981\u6c42&gt;99.9%&#xff08;INT8\u91cf\u5316\u53ef\u80fd\u4e0d\u8fbe\u6807&#xff09;<\/li>\n<\/ul>\n<hr \/>\n<h3>\u516d\u3001\u7ed3\u8bed\u4e0e\u8d44\u6e90<\/h3>\n<p>\u5b9a\u4e49&#xff1a;\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u7684\u6838\u5fc3\u662f\u8865\u9f50\u4e09\u4e2a\u5de5\u7a0b\u80fd\u529b\u2014\u2014\u91cf\u5316\u538b\u7f29&#xff08;INT8\/INT4&#xff0c;\u4f53\u79ef\u7f29\u51cf\u81f325%\/12.5%&#xff09;\u3001Wasm\u8fd0\u884c\u65f6&#xff08;\u51b7\u542f\u52a834ms&#xff0c;\u5185\u5b5818MB&#xff09;\u3001\u63a8\u7406\u4f18\u5316&#xff08;\u74f6\u9888\u5b9a\u4f4d\u2192\u6df7\u5408\u7cbe\u5ea6\u2192AOT\u7f16\u8bd1&#xff09;\u3002\u6838\u5fc3\u6570\u5b57&#xff1a;3\u5e74TCO\u4e2dWasm\u65b9\u6848\u8f83\u5bb9\u5668\u964d\u4f4e40-60%&#xff08;\u542f\u52a8\u5feb87.68%&#xff0c;\u5185\u5b58\u770149.2%&#xff09;\u3002\u7ed3\u8bba&#xff1a;2026\u5e74\u662f\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u4ece\u201c\u80fd\u7528\u201d\u5230\u201c\u597d\u7528\u201d\u7684\u6280\u672f\u7a97\u53e3\u671f\u3002<\/p>\n<p>  #mermaid-svg-lVk6JIazvrsOMcST{font-family:\\&#8221;trebuchet ms\\&#8221;,verdana,arial,sans-serif;font-size:16px;fill:#333;}@keyframes edge-animation-frame{from{stroke-dashoffset:0;}}@keyframes dash{to{stroke-dashoffset:0;}}#mermaid-svg-lVk6JIazvrsOMcST .edge-animation-slow{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 50s linear infinite;stroke-linecap:round;}#mermaid-svg-lVk6JIazvrsOMcST .edge-animation-fast{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 20s linear infinite;stroke-linecap:round;}#mermaid-svg-lVk6JIazvrsOMcST .error-icon{fill:#552222;}#mermaid-svg-lVk6JIazvrsOMcST .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-lVk6JIazvrsOMcST .edge-thickness-normal{stroke-width:1px;}#mermaid-svg-lVk6JIazvrsOMcST .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-lVk6JIazvrsOMcST .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-lVk6JIazvrsOMcST .edge-thickness-invisible{stroke-width:0;fill:none;}#mermaid-svg-lVk6JIazvrsOMcST .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-lVk6JIazvrsOMcST .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-lVk6JIazvrsOMcST .marker{fill:#333333;stroke:#333333;}#mermaid-svg-lVk6JIazvrsOMcST .marker.cross{stroke:#333333;}#mermaid-svg-lVk6JIazvrsOMcST svg{font-family:\\&#8221;trebuchet ms\\&#8221;,verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-lVk6JIazvrsOMcST p{margin:0;}#mermaid-svg-lVk6JIazvrsOMcST .label{font-family:\\&#8221;trebuchet ms\\&#8221;,verdana,arial,sans-serif;color:#333;}#mermaid-svg-lVk6JIazvrsOMcST .cluster-label text{fill:#333;}#mermaid-svg-lVk6JIazvrsOMcST .cluster-label span{color:#333;}#mermaid-svg-lVk6JIazvrsOMcST .cluster-label span p{background-color:transparent;}#mermaid-svg-lVk6JIazvrsOMcST .label text,#mermaid-svg-lVk6JIazvrsOMcST span{fill:#333;color:#333;}#mermaid-svg-lVk6JIazvrsOMcST .node rect,#mermaid-svg-lVk6JIazvrsOMcST .node circle,#mermaid-svg-lVk6JIazvrsOMcST .node ellipse,#mermaid-svg-lVk6JIazvrsOMcST .node polygon,#mermaid-svg-lVk6JIazvrsOMcST .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-lVk6JIazvrsOMcST .rough-node .label text,#mermaid-svg-lVk6JIazvrsOMcST .node .label text,#mermaid-svg-lVk6JIazvrsOMcST .image-shape .label,#mermaid-svg-lVk6JIazvrsOMcST .icon-shape .label{text-anchor:middle;}#mermaid-svg-lVk6JIazvrsOMcST .node .katex path{fill:#000;stroke:#000;stroke-width:1px;}#mermaid-svg-lVk6JIazvrsOMcST .rough-node .label,#mermaid-svg-lVk6JIazvrsOMcST .node .label,#mermaid-svg-lVk6JIazvrsOMcST .image-shape .label,#mermaid-svg-lVk6JIazvrsOMcST .icon-shape .label{text-align:center;}#mermaid-svg-lVk6JIazvrsOMcST .node.clickable{cursor:pointer;}#mermaid-svg-lVk6JIazvrsOMcST .root .anchor path{fill:#333333!important;stroke-width:0;stroke:#333333;}#mermaid-svg-lVk6JIazvrsOMcST .arrowheadPath{fill:#333333;}#mermaid-svg-lVk6JIazvrsOMcST .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-lVk6JIazvrsOMcST .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-lVk6JIazvrsOMcST .edgeLabel{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-lVk6JIazvrsOMcST .edgeLabel p{background-color:rgba(232,232,232, 0.8);}#mermaid-svg-lVk6JIazvrsOMcST .edgeLabel rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-lVk6JIazvrsOMcST .labelBkg{background-color:rgba(232, 232, 232, 0.5);}#mermaid-svg-lVk6JIazvrsOMcST .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-lVk6JIazvrsOMcST .cluster text{fill:#333;}#mermaid-svg-lVk6JIazvrsOMcST .cluster span{color:#333;}#mermaid-svg-lVk6JIazvrsOMcST div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:\\&#8221;trebuchet ms\\&#8221;,verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-lVk6JIazvrsOMcST .flowchartTitleText{text-anchor:middle;font-size:18px;fill:#333;}#mermaid-svg-lVk6JIazvrsOMcST rect.text{fill:none;stroke-width:0;}#mermaid-svg-lVk6JIazvrsOMcST .icon-shape,#mermaid-svg-lVk6JIazvrsOMcST .image-shape{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-lVk6JIazvrsOMcST .icon-shape p,#mermaid-svg-lVk6JIazvrsOMcST .image-shape p{background-color:rgba(232,232,232, 0.8);padding:2px;}#mermaid-svg-lVk6JIazvrsOMcST .icon-shape .label rect,#mermaid-svg-lVk6JIazvrsOMcST .image-shape .label rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-lVk6JIazvrsOMcST .label-icon{display:inline-block;height:1em;overflow:visible;vertical-align:-0.125em;}#mermaid-svg-lVk6JIazvrsOMcST .node .label-icon path{fill:currentColor;stroke:revert;stroke-width:revert;}#mermaid-svg-lVk6JIazvrsOMcST :root{&#8211;mermaid-font-family:\\&#8221;trebuchet ms\\&#8221;,verdana,arial,sans-serif;}<\/p>\n<p>         <span class=\"edgeLabel\"><\/p>\n<p>\u7f51\u7edc\u5ef6\u8fdf\u4e0d\u53ef\u63a7<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/p>\n<p>\u91cf\u5316\u538b\u7f29<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/p>\n<p>Wasm\u8fd0\u884c\u65f6<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/p>\n<p>\u63a8\u7406\u4f18\u5316<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/span><\/p>\n<p>         <span class=\"edgeLabel\"><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>\u4e91\u7aef\u63a8\u7406<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>\u7aef\u4fa7AI\u63a8\u7406<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>INT8\/INT4\u6a21\u578b<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>WasmEdge\/WASI-NN<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>\u6df7\u5408\u7cbe\u5ea6&#043;AOT\u7f16\u8bd1<\/p>\n<p><\/span><\/p>\n<p>         <span class=\"nodeLabel\"><\/p>\n<p>\u4f4e\u5ef6\u8fdf&#043;\u9ad8\u9690\u79c1&#043;\u79bb\u7ebf\u53ef\u7528<\/p>\n<p><\/span><\/p>\n<p>\u8f85\u52a9\u6587\u5b57\u63cf\u8ff0&#xff1a;\u4e91\u7aef\u63a8\u7406\u56e0\u7f51\u7edc\u5ef6\u8fdf\u4e0d\u53ef\u63a7\u8f6c\u5411\u7aef\u4fa7AI\u63a8\u7406&#xff0c;\u901a\u8fc7\u91cf\u5316\u538b\u7f29\u3001Wasm\u8fd0\u884c\u65f6\u4e0e\u63a8\u7406\u4f18\u5316\u4e09\u6761\u8def\u5f84&#xff0c;\u5b9e\u73b0\u4f4e\u5ef6\u8fdf\u3001\u9ad8\u9690\u79c1\u3001\u79bb\u7ebf\u53ef\u7528\u7684\u7aef\u4fa7AI\u80fd\u529b\u3002<\/p>\n<h4>\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u68c0\u67e5\u6e05\u5355<\/h4>\n<ul>\n<li class=\"task-list-item\"> \u6a21\u578b\u4f53\u79ef\u662f\u5426&lt;50MB&#xff08;Wasm\u90e8\u7f72\u4e0a\u9650&#xff09;&#xff1f;<\/li>\n<li class=\"task-list-item\"> INT8\u91cf\u5316\u540e\u7cbe\u5ea6\u635f\u5931\u662f\u5426&lt;2%&#xff1f;<\/li>\n<li class=\"task-list-item\"> \u662f\u5426\u5df2\u6d4b\u91cf\u57fa\u7ebf\u5ef6\u8fdf\u4e0e\u5185\u5b58\u5cf0\u503c&#xff1f;<\/li>\n<li class=\"task-list-item\"> \u74f6\u9888\u662f\u8ba1\u7b97\u74f6\u9888\u8fd8\u662f\u5185\u5b58\u74f6\u9888&#xff1f;<\/li>\n<li class=\"task-list-item\"> Wasm AOT\u7f16\u8bd1\u662f\u5426\u5df2\u5728\u76ee\u6807\u786c\u4ef6\u4e0a\u9a8c\u8bc1&#xff1f;<\/li>\n<li class=\"task-list-item\"> \u662f\u5426\u8bc4\u4f30\u8fc7Wasm\u7f16\u8bd1\u65f6\u95f4\u5bf9\u4e0a\u7ebf\u7684\u5f71\u54cd&#xff1f;<\/li>\n<li class=\"task-list-item\"> \u662f\u5426\u8bbe\u7f6e\u4e86\u7cbe\u5ea6\u56de\u9000\u7b56\u7565&#xff08;\u6df7\u5408\u7cbe\u5ea6&#xff09;&#xff1f;<\/li>\n<\/ul>\n<p>\u2705 \u82e5 \u22654\u4e2a\u4e3a\u201c\u662f\u201d \u2192 \u5efa\u8bae\u542f\u52a8\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u8bc4\u4f30\u3002<\/p>\n<h4>\u65f6\u6548\u58f0\u660e<\/h4>\n<table>\n<tr>\u7ec4\u4ef6\u7248\u672c\u9a8c\u8bc1\u65e5\u671f<\/tr>\n<tbody>\n<tr>\n<td>ONNX Runtime<\/td>\n<td>1.20<\/td>\n<td>2026-09-24<\/td>\n<\/tr>\n<tr>\n<td>WasmEdge<\/td>\n<td>0.14.1<\/td>\n<td>2026-09-24<\/td>\n<\/tr>\n<tr>\n<td>TensorFlow Lite<\/td>\n<td>2.18<\/td>\n<td>2026-09-24<\/td>\n<\/tr>\n<tr>\n<td>Python<\/td>\n<td>3.12<\/td>\n<td>2026-09-24<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u26a0\ufe0f \u7aef\u4fa7AI\u5de5\u5177\u94fe\u8fed\u4ee3\u8f83\u5feb&#xff0c;\u5b9e\u9645\u9009\u578b\u524d\u8bf7\u67e5\u9605\u6700\u65b0\u5b98\u65b9\u6587\u6863\u3002<\/p>\n<hr \/>\n<p>\u4f60\u5728\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u4e2d\u9047\u5230\u7684\u6700\u5927\u74f6\u9888\u662f\u4ec0\u4e48&#xff1f;\u662f\u91cf\u5316\u7cbe\u5ea6\u635f\u5931\u3001\u8fd0\u884c\u65f6\u9009\u578b&#xff0c;\u8fd8\u662f\u5185\u5b58\u5e26\u5bbd\u9650\u5236&#xff1f;\u6b22\u8fce\u5728\u8bc4\u8bba\u533a\u5206\u4eab\u4f60\u7684\u8e29\u5751\u7ecf\u5386\u3002<\/p>\n<p>\u591a\u5e73\u53f0\u5206\u53d1\u5165\u53e3 \u672c\u6587\u9996\u53d1\u4e8e CSDN&#xff0c;\u8f6c\u8f7d\u8bf7\u6ce8\u660e\u51fa\u5904\u3002 \u77e5\u4e4e\u4e13\u680f\u300c\u732b\u5c0f\u82cf\u300d &#xff5c; \u5fae\u4fe1\u53f7\u300c\u732b\u5c0f\u82cf\u300d<\/p>\n<hr \/>\n<p>[1] \u201cExperiment environment and workload,\u201d ACM. WebAssembly\u51b7\u542f\u52a834.31ms vs Docker 270.19ms\u3002\u53c2\u89c1&#xff1a;https:\/\/dlnext.acm.org\/doi\/pdf\/10.1145\/3774899 \u21a9 \u8fd4\u56de&#xff08;\u5b98\u65b9\u6587\u6863\u4ea4\u53c9\u9a8c\u8bc1&#xff1a;https:\/\/webassembly.org\/&#xff09; [2] \u201cExploring WebAssembly as a Runtime Platform for Safety-Critical Edge Systems,\u201d IEEE, 2026. WASI\u5cf0\u503c\u5185\u5b5818.33MB&#xff0c;\u8f83Docker\u964d\u4f4e49.2%\u3002\u53c2\u89c1&#xff1a;https:\/\/ieeexplore.ieee.org\/document\/11507665 \u21a9 \u8fd4\u56de&#xff08;\u5b98\u65b9\u6587\u6863\u4ea4\u53c9\u9a8c\u8bc1&#xff1a;https:\/\/wasmedge.org\/&#xff09; [3] \u201cRobust and Trustworthy TinyML-Based EEG Seizure Detection with Quantized Inference,\u201d Scientific Reports, 2026. INT8\u91cf\u5316\u7cbe\u5ea6\u635f\u5931&lt;0.5%&#xff0c;ECE&lt;0.02\u3002\u53c2\u89c1&#xff1a;https:\/\/www.nature.com\/articles\/s41598-026-72683-9 \u21a9 \u8fd4\u56de&#xff08;\u5b98\u65b9\u6587\u6863\u4ea4\u53c9\u9a8c\u8bc1&#xff1a;https:\/\/www.tensorflow.org\/lite\/performance\/post_training_quantization&#xff09;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u76ee\u5f55\u30102026\u3011\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5b9e\u6218&#xff1a;\u6a21\u578b\u91cf\u5316Wasm\u8fd0\u884c\u65f6\u6307\u5357\u5feb\u901f\u7b54\u6848\u4e00\u3001\u4e3a\u4ec0\u4e48\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u8981\u4ece\u4e91\u7aef\u4e0b\u6c89&#xff1f;2026\u5e74\u80cc\u666f\u4e0e\u75db\u70b91.1 \u4e91\u7aef\u63a8\u7406\u5ef6\u8fdf\u65e0\u6cd5\u6ee1\u8db3\u5b9e\u65f6\u573a\u666f\u7684\u7269\u7406\u7ea6\u675f1.2 \u7aef\u4fa7AI\u90e8\u7f72\u7684\u201c\u4e0d\u53ef\u80fd\u4e09\u89d2\u201d1.3 \u7aef\u4fa7AI\u89c4\u6a21\u5316\u843d\u5730\u7684\u5e02\u573a\u7a97\u53e3\u5df2\u6253\u5f00\u4e8c\u3001\u6a21\u578b\u91cf\u5316\u4e0eWasm\u8fd0\u884c\u65f6\u600e\u4e48\u9009&#xff1f;\u7aef\u5230\u7aef\u67b6\u6784\u4e0e\u539f\u74062.1 \u6a21\u578b\u91cf\u5316&#xff1a;PTQ\u548cQAT\u600e\u4e48\u9009&#xff1f;2.2 Wasm\u6bd4\u5bb9\u5668\u5feb\u591a\u5c11&#xff1f;Wasm vs D<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[9477,11212,10070,11702,671],"topic":[],"class_list":["post-109750","post","type-post","status-publish","format-standard","hentry","category-server","tag-onnx","tag-webassembly","tag-10070","tag-ai","tag-671"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u30102026\u3011\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5b9e\u6218\uff1a\u6a21\u578b\u91cf\u5316+Wasm\u8fd0\u884c\u65f6\u6307\u5357 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/109750.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u30102026\u3011\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5b9e\u6218\uff1a\u6a21\u578b\u91cf\u5316+Wasm\u8fd0\u884c\u65f6\u6307\u5357 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"\u76ee\u5f55\u30102026\u3011\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5b9e\u6218&#xff1a;\u6a21\u578b\u91cf\u5316Wasm\u8fd0\u884c\u65f6\u6307\u5357\u5feb\u901f\u7b54\u6848\u4e00\u3001\u4e3a\u4ec0\u4e48\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u8981\u4ece\u4e91\u7aef\u4e0b\u6c89&#xff1f;2026\u5e74\u80cc\u666f\u4e0e\u75db\u70b91.1 \u4e91\u7aef\u63a8\u7406\u5ef6\u8fdf\u65e0\u6cd5\u6ee1\u8db3\u5b9e\u65f6\u573a\u666f\u7684\u7269\u7406\u7ea6\u675f1.2 \u7aef\u4fa7AI\u90e8\u7f72\u7684\u201c\u4e0d\u53ef\u80fd\u4e09\u89d2\u201d1.3 \u7aef\u4fa7AI\u89c4\u6a21\u5316\u843d\u5730\u7684\u5e02\u573a\u7a97\u53e3\u5df2\u6253\u5f00\u4e8c\u3001\u6a21\u578b\u91cf\u5316\u4e0eWasm\u8fd0\u884c\u65f6\u600e\u4e48\u9009&#xff1f;\u7aef\u5230\u7aef\u67b6\u6784\u4e0e\u539f\u74062.1 \u6a21\u578b\u91cf\u5316&#xff1a;PTQ\u548cQAT\u600e\u4e48\u9009&#xff1f;2.2 Wasm\u6bd4\u5bb9\u5668\u5feb\u591a\u5c11&#xff1f;Wasm vs D\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.wsisp.com\/helps\/109750.html\" \/>\n<meta property=\"og:site_name\" content=\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"article:published_time\" content=\"2026-09-24T11:48:48+00:00\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"13 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/109750.html\",\"url\":\"https:\/\/www.wsisp.com\/helps\/109750.html\",\"name\":\"\u30102026\u3011\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5b9e\u6218\uff1a\u6a21\u578b\u91cf\u5316+Wasm\u8fd0\u884c\u65f6\u6307\u5357 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\",\"isPartOf\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/#website\"},\"datePublished\":\"2026-09-24T11:48:48+00:00\",\"dateModified\":\"2026-09-24T11:48:48+00:00\",\"author\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/109750.html#breadcrumb\"},\"inLanguage\":\"zh-Hans\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.wsisp.com\/helps\/109750.html\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/109750.html#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u9996\u9875\",\"item\":\"https:\/\/www.wsisp.com\/helps\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u30102026\u3011\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5b9e\u6218\uff1a\u6a21\u578b\u91cf\u5316+Wasm\u8fd0\u884c\u65f6\u6307\u5357\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#website\",\"url\":\"https:\/\/www.wsisp.com\/helps\/\",\"name\":\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\",\"description\":\"\u9999\u6e2f\u670d\u52a1\u5668_\u9999\u6e2f\u4e91\u670d\u52a1\u5668\u8d44\u8baf_\u670d\u52a1\u5668\u5e2e\u52a9\u6587\u6863_\u670d\u52a1\u5668\u6559\u7a0b\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.wsisp.com\/helps\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"zh-Hans\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41\",\"name\":\"admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-Hans\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery\",\"contentUrl\":\"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery\",\"caption\":\"admin\"},\"sameAs\":[\"http:\/\/wp.wsisp.com\"],\"url\":\"https:\/\/www.wsisp.com\/helps\/author\/admin\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u30102026\u3011\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5b9e\u6218\uff1a\u6a21\u578b\u91cf\u5316+Wasm\u8fd0\u884c\u65f6\u6307\u5357 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.wsisp.com\/helps\/109750.html","og_locale":"zh_CN","og_type":"article","og_title":"\u30102026\u3011\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5b9e\u6218\uff1a\u6a21\u578b\u91cf\u5316+Wasm\u8fd0\u884c\u65f6\u6307\u5357 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","og_description":"\u76ee\u5f55\u30102026\u3011\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5b9e\u6218&#xff1a;\u6a21\u578b\u91cf\u5316Wasm\u8fd0\u884c\u65f6\u6307\u5357\u5feb\u901f\u7b54\u6848\u4e00\u3001\u4e3a\u4ec0\u4e48\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u8981\u4ece\u4e91\u7aef\u4e0b\u6c89&#xff1f;2026\u5e74\u80cc\u666f\u4e0e\u75db\u70b91.1 \u4e91\u7aef\u63a8\u7406\u5ef6\u8fdf\u65e0\u6cd5\u6ee1\u8db3\u5b9e\u65f6\u573a\u666f\u7684\u7269\u7406\u7ea6\u675f1.2 \u7aef\u4fa7AI\u90e8\u7f72\u7684\u201c\u4e0d\u53ef\u80fd\u4e09\u89d2\u201d1.3 \u7aef\u4fa7AI\u89c4\u6a21\u5316\u843d\u5730\u7684\u5e02\u573a\u7a97\u53e3\u5df2\u6253\u5f00\u4e8c\u3001\u6a21\u578b\u91cf\u5316\u4e0eWasm\u8fd0\u884c\u65f6\u600e\u4e48\u9009&#xff1f;\u7aef\u5230\u7aef\u67b6\u6784\u4e0e\u539f\u74062.1 \u6a21\u578b\u91cf\u5316&#xff1a;PTQ\u548cQAT\u600e\u4e48\u9009&#xff1f;2.2 Wasm\u6bd4\u5bb9\u5668\u5feb\u591a\u5c11&#xff1f;Wasm vs D","og_url":"https:\/\/www.wsisp.com\/helps\/109750.html","og_site_name":"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","article_published_time":"2026-09-24T11:48:48+00:00","author":"admin","twitter_card":"summary_large_image","twitter_misc":{"\u4f5c\u8005":"admin","\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4":"13 \u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.wsisp.com\/helps\/109750.html","url":"https:\/\/www.wsisp.com\/helps\/109750.html","name":"\u30102026\u3011\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5b9e\u6218\uff1a\u6a21\u578b\u91cf\u5316+Wasm\u8fd0\u884c\u65f6\u6307\u5357 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","isPartOf":{"@id":"https:\/\/www.wsisp.com\/helps\/#website"},"datePublished":"2026-09-24T11:48:48+00:00","dateModified":"2026-09-24T11:48:48+00:00","author":{"@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41"},"breadcrumb":{"@id":"https:\/\/www.wsisp.com\/helps\/109750.html#breadcrumb"},"inLanguage":"zh-Hans","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.wsisp.com\/helps\/109750.html"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.wsisp.com\/helps\/109750.html#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u9996\u9875","item":"https:\/\/www.wsisp.com\/helps"},{"@type":"ListItem","position":2,"name":"\u30102026\u3011\u7aef\u4fa7AI\u63a8\u7406\u90e8\u7f72\u5b9e\u6218\uff1a\u6a21\u578b\u91cf\u5316+Wasm\u8fd0\u884c\u65f6\u6307\u5357"}]},{"@type":"WebSite","@id":"https:\/\/www.wsisp.com\/helps\/#website","url":"https:\/\/www.wsisp.com\/helps\/","name":"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","description":"\u9999\u6e2f\u670d\u52a1\u5668_\u9999\u6e2f\u4e91\u670d\u52a1\u5668\u8d44\u8baf_\u670d\u52a1\u5668\u5e2e\u52a9\u6587\u6863_\u670d\u52a1\u5668\u6559\u7a0b","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.wsisp.com\/helps\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"zh-Hans"},{"@type":"Person","@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41","name":"admin","image":{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/image\/","url":"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery","contentUrl":"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery","caption":"admin"},"sameAs":["http:\/\/wp.wsisp.com"],"url":"https:\/\/www.wsisp.com\/helps\/author\/admin"}]}},"_links":{"self":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts\/109750","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/comments?post=109750"}],"version-history":[{"count":0,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts\/109750\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/media?parent=109750"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/categories?post=109750"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/tags?post=109750"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/topic?post=109750"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}