{"id":789147,"date":"2026-05-29T10:48:05","date_gmt":"2026-05-29T02:48:05","guid":{"rendered":"https:\/\/www.alphaseek.cn\/?p=789147"},"modified":"2026-05-29T10:48:05","modified_gmt":"2026-05-29T02:48:05","slug":"%e5%9b%bd%e4%ba%a7ai%e8%8a%af%e7%89%87%e4%b8%89%e5%9b%bd%e6%9d%80%ef%bc%9a%e4%bb%8e%e7%ae%97%e5%8a%9b%e7%ab%9e%e4%ba%89%e5%88%b0%e7%94%9f%e6%80%81%e6%88%98%e4%ba%89","status":"publish","type":"post","link":"https:\/\/www.alphaseek.cn\/?p=789147","title":{"rendered":"\u56fd\u4ea7AI\u82af\u7247\u4e09\u56fd\u6740\uff1a\u4ece\u7b97\u529b\u7ade\u4e89\u5230\u751f\u6001\u6218\u4e89"},"content":{"rendered":"
\n

\u6587 | \u667a\u8baf\u667a\u5e93<\/a>\u5206\u6790\u5e08 \u5218\u5a77<\/p>\n<\/blockquote>\n

2025\u5e74\u4e0b\u534a\u5e74\uff0c“\u56fd\u4ea7 AI \u82af\u7247<\/a>\u5d1b\u8d77”\u5728\u4e2d\u56fd\u5e02\u573a\u9010\u6e10\u6210\u4e3a\u5171\u8bc6——\u56fd\u4ea7\u5408\u8ba1\u4efd\u989d\u7a81\u7834 40%\uff0c\u534e\u4e3a<\/a>\u5355\u5bb6\u51fa\u8d27\u903c\u8fd1\u767e\u4e07\u5f20[1]\uff0c\u5bd2\u6b66\u7eaa\u9996\u6b21\u626d\u4e8f[2]\uff0c\u6d77\u5149\u8425\u6536\u7834\u767e\u4ebf[3]\uff0cNVIDIA \u4e09\u5e74\u95f4\u88ab\u5207\u8d70 35-40 \u4e2a\u767e\u5206\u70b9[1]——\u8fd9\u4e00\u8d8b\u52bf\u4e5f\u5f97\u5230\u4e86\u9ec4\u4ec1\u52cb\u516c\u5f00\u8868\u6001\u7684\u4f50\u8bc1\u3002<\/p>\n

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\u672c\u6587\u57fa\u4e8e\u4e0a\u5e02\u516c\u53f8<\/a>\u5e74\u62a5\u3001IDC \u5e02\u573a\u6570\u636e\u3001SemiAnalysis \u7b49\u884c\u4e1a\u7814\u7a76\uff0c\u4ee5\u53ca\u516c\u5f00\u62a5\u9053\u8d44\u6599\uff0c\u4ece\u7b97\u529b\u3001\u751f\u6001\u3001\u73a9\u5bb6\u7ed3\u6784\u3001\u8bad\u63a8\u5206\u5316\u3001\u8def\u5f84\u5206\u6790\u4e94\u4e2a\u7ef4\u5ea6\uff0c\u5bf9\u5f53\u524d\u56fd\u4ea7AI\u82af\u7247\u7684\u771f\u5b9e\u72b6\u6001\u8fdb\u884c\u4e00\u6b21\u7cfb\u7edf\u68b3\u7406\u3002\u6838\u5fc3\u5224\u65ad\u5305\u62ec<\/strong>:<\/p>\n

2025-2026\u56fd\u4ea7AI\u82af\u7247\u7684\u771f\u5b9e\u72b6\u6001<\/strong><\/h2>\n

\u4ece\u516c\u5f00\u62ab\u9732\u7684\u6570\u636e\u770b\uff0c2025\u5e74\u662f\u56fd\u4ea7 AI \u82af\u7247\u5546\u4e1a\u5316\u8fdb\u7a0b\u7684\u4e00\u4e2a\u5173\u952e\u62d0\u70b9\u3002\u5728\u4e2d\u56fdAI\u52a0\u901f\u5361(\u6db5\u76d6GPU\u3001NPU\u3001ASIC\u7b49)\u5e02\u573a\u7ea6 400 \u4e07\u5f20\u7684\u5e74\u5ea6\u51fa\u8d27\u89c4\u6a21\u4e2d\uff0c\u56fd\u4ea7\u5382\u5546\u5408\u8ba1\u51fa\u8d27\u7ea6 165 \u4e07\u5f20\uff0c\u5e02\u573a\u4efd\u989d\u9996\u6b21\u7a33\u5b9a\u7a81\u7834 40%\u3002\u8fd9\u610f\u5473\u7740\u56fd\u4ea7\u82af\u7247\u5df2\u7ecf\u4e0d\u518d\u5904\u4e8e“\u5c40\u90e8\u66ff\u4ee3”\u7684\u65e9\u671f\u9636\u6bb5\uff0c\u800c\u662f\u8fdb\u5165\u4e86\u53ef\u4ee5\u5728\u6574\u4f53\u5e02\u573a\u4e2d\u5f62\u6210\u7ed3\u6784\u6027\u5b58\u5728\u7684\u533a\u95f4\u3002<\/p>\n

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(1)\u56fd\u4ea7AI\u82af\u7247\u51fa\u8d27\u91cf\u4ece2023\u5e74\u7684\u5355\u5382\u4e07\u5f20\u7ea7\uff0c\u8dc3\u5347\u81f32025\u5e74\u7684\u884c\u4e1a\u5408\u8ba1\u767e\u4e07\u5f20\u4ee5\u4e0a<\/strong>\uff1b<\/p>\n

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——\u4f46\u8fd9\u4e9b\u53d8\u5316\u4ecd\u53d1\u751f\u5728\u8ba2\u5355\u548c\u6536\u5165\u5c42\u9762\uff0c\u800c\u975e\u786c\u4ef6\u6027\u80fd\u4e0e\u8f6f\u4ef6\u751f\u6001\u7684\u540c\u6b65\u7a81\u7834\u3002<\/p>\n

2025\u5e74\u4e0b\u534a\u5e74\uff0c“\u56fd\u4ea7 AI \u82af\u7247\u5d1b\u8d77”\u5728\u4e2d\u56fd\u5e02\u573a\u9010\u6e10\u6210\u4e3a\u5171\u8bc6\u3002\u4f46\u8fd9\u7ec4\u6570\u636e\u4ecd\u6709\u51e0\u4e2a\u5173\u952e\u7684\u95ee\u9898\u5f85\u8ba8\u8bba\uff1a\u56fd\u4ea7\u82af\u7247\u6240\u5207\u8d70\u7684 35–40% \u5e02\u573a\u4efd\u989d\uff0c\u5728\u8bad\u7ec3\u4e0e\u63a8\u7406\u7b49\u4e0d\u540c\u5de5\u4f5c\u8d1f\u8f7d\u4e4b\u95f4\u5206\u5e03\u5e76\u4e0d\u5747\u8861\uff1b\u4e92\u8054\u7f51\u5927\u5382\u7684\"\u91c7\u7528\"\u5e76\u4e0d\u7b49\u4ef7\u4e8e\"\u66ff\u4ee3\"\uff0c\u5176\u771f\u5b9e\u4f9d\u8d56\u5ea6\u4ecd\u5b58\u5728\u663e\u8457\u5dee\u5f02\uff1bCUDA \u5f00\u53d1\u8005\u57fa\u6570(\u7ea6 590 \u4e07)\u4e0e\u56fd\u4ea7\u751f\u6001(<100 \u4e07)\u4ecd\u5b58\u5728\u6570\u91cf\u7ea7\u5dee\u8ddd[6]\u3002\u6362\u53e5\u8bdd\u8bf4\uff0c\u8fd9\u4e00\u9636\u6bb5\u7684\u53d8\u5316\u66f4\u50cf\u662f“\u4f9b\u7ed9\u80fd\u529b\u7684\u8dc3\u8fc1<\/strong>”\uff0c\u800c\u4e0d\u662f“\u7ade\u4e89\u7ed3\u6784\u7684\u7ec8\u5c40\u91cd\u6784<\/strong>”\u3002<\/p>\n

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\u53ea\u770b\u786c\u4ef6\u6027\u80fd\uff0c\u56fd\u4ea7 AI \u82af\u7247\u5728 2024–2025 \u5e74\u5b8c\u6210\u4e86\u4e00\u8f6e\u5b9e\u8d28\u6027\u8ffd\u8d76\uff0c\u4f46\u540c\u6837\u7684\u5bf9\u7167\u8868\u4e5f\u6e05\u6670\u6807\u8bb0\u4e86\u4ecd\u672a\u7a81\u7834\u7684\u7269\u7406\u4e0e\u4f9b\u5e94\u94fe\u8fb9\u754c\u3002<\/p>\n

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\u56fe\u88681\uff1a\u56fd\u4ea7\u65d7\u8230\u82af\u7247\u6027\u80fd\u5bf9\u6bd4<\/p>\n

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\u56fd\u4ea7\u4ecd\u843d\u540e\u7684\u90e8\u5206\u3002<\/strong>\u4e0eNVIDIA\u6700\u65b0\u4e00\u4ee3\u5e73\u53f0\u76f8\u6bd4\uff0c\u56db\u4e2a\u5173\u952e\u7ef4\u5ea6\u7684\u5dee\u8ddd\u4f9d\u7136\u6e05\u6670\uff1a<\/p>\n

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\u56fe\u88682\uff1a\u7b97\u529b\u56db\u7ef4\u5ea6\u5bf9\u6bd4\u8868<\/p>\n

\u56db\u4e2a\u7ef4\u5ea6\u5e76\u975e\u5e73\u884c\u3002HBM \u5e26\u5bbd(\u9ad8\u5e26\u5bbd\u5185\u5b58\uff0cAI \u82af\u7247“\u8bfb\u53d6\u548c\u642c\u8fd0\u6570\u636e”\u7684\u901f\u5ea6)\u5f80\u5f80\u6bd4\u7406\u8bba FLOPS \u66f4\u5173\u952e\uff0c\u56e0\u4e3a\u5927\u6a21\u578b\u8bad\u7ec3\u7684\u74f6\u9888\u5728\u6570\u636e\u642c\u8fd0\u800c\u975e\u7eaf\u8ba1\u7b97\u3002\u4e92\u8054\u5dee\u8ddd\u5728\u4e07\u5361\u7ea7\u96c6\u7fa4\u4e2d\u4f1a\u88ab\u6307\u6570\u653e\u5927\uff0cNVIDIA NVL72 \u65b9\u6848\u80fd\u8ba9 72 \u9897 B200 \u5728\u903b\u8f91\u5c42\u8868\u73b0\u4e3a\u5355\u4e00 GPU[12]\uff0c\u8fd9\u662f\u56fd\u4ea7\u4f53\u7cfb\u76ee\u524d\u65e0\u6cd5\u5bf9\u6807\u7684\u67b6\u6784\u6027\u4f18\u52bf\u3002\u540c\u65f6\uff0c\u8fdb\u5165 3nm \u533a\u95f4\u7684\u4e0d\u53ea NVIDIA\uff0cGoogle TPU v7p\u3001Amazon Trainium 3 \u4e5f\u5728\u5feb\u901f\u8fed\u4ee3[13]\uff0c\u56fd\u4ea7 AI \u82af\u7247\u771f\u6b63\u9762\u5bf9\u7684\u662f\u6574\u4e2a\u5168\u7403\u5148\u8fdb\u5236\u7a0b\u68af\u961f\u7684\u6301\u7eed\u8dd1\u52a8\u3002<\/p>\n

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\u9762\u5bf9\u8fd9\u4e00\u5236\u7a0b\u5929\u82b1\u677f\uff0c\u534e\u4e3a\u4e5f\u5728\u5c1d\u8bd5“\u6362\u8d5b\u9053”\u3002<\/strong>2026 \u5e74 5 \u6708\uff0c\u534e\u4e3a\u5728 IEEE ISCAS 2026 \u4e0a\u63d0\u51fa“\u97ec(τ)\u5b9a\u5f8b”\uff0c\u4e3b\u5f20\u4ee5“\u65f6\u95f4\u7f29\u5fae”(\u901a\u8fc7\u903b\u8f91\u6298\u53e0\u7b49\u6280\u672f\u538b\u7f29\u4fe1\u53f7\u4f20\u64ad\u65f6\u5ef6)\u66ff\u4ee3\u4f20\u7edf\u7684“\u51e0\u4f55\u7f29\u5fae”(\u628a\u6676\u4f53\u7ba1\u505a\u5f97\u66f4\u5c0f)\uff0c\u76ee\u6807\u662f\u5230 2031 \u5e74\u5728\u4e0d\u4f9d\u8d56\u5148\u8fdb\u5149\u523b\u673a\u7684\u524d\u63d0\u4e0b\uff0c\u5b9e\u73b0\u7b49\u6548 1.4nm \u5236\u7a0b\u7684\u6676\u4f53\u7ba1\u5bc6\u5ea6<\/strong>\u3002\u4e0d\u8fc7\u8fd9\u76ee\u524d\u4ecd\u662f\u4e00\u9879\u9762\u5411\u672a\u6765\u7684\u539f\u5219\u4e0e\u8def\u7ebf\u56fe<\/strong>——\u5bc6\u5ea6\u6570\u5b57\u6765\u81ea\u534e\u4e3a\u81ea\u8eab\u62ab\u9732\u3001\u5c1a\u5f85\u72ec\u7acb\u9a8c\u8bc1\u3002\u76f8\u5173\u62a5\u9053\u79f0\uff0c\u8be5\u8def\u7ebf\u53ef\u80fd\u7387\u5148\u8fdb\u5165\u540e\u7eed\u9e92\u9e9f\u624b\u673a\u82af\u7247\uff0c\u5e76\u8fdb\u4e00\u6b65\u6269\u5c55\u81f3 AI \u82af\u7247\u3002\u4f46\u5176\u80fd\u5426\u5728 AI \u7b97\u529b\u573a\u666f\u5151\u73b0\u4ecd\u9700\u89c2\u5bdf\u3002<\/p>\n

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NVIDIA \u62ab\u9732\uff0c\u622a\u81f3 2025 \u5e74\u5176 CUDA \u751f\u6001\u5df2\u7ecf\u5f62\u6210\u4e00\u7ec4\u6781\u5177\u89c4\u6a21\u6548\u5e94\u7684\u6570\u636e\uff1a\u5168\u7403 CUDA \u5f00\u53d1\u8005\u89c4\u6a21\u8fbe\u5230 590 \u4e07\uff1bCUDA-enabled GPU \u7d2f\u8ba1\u90e8\u7f72\u8d85 5 \u4ebf\uff1bCUDA \u81ea 2006 \u5e74\u53d1\u5e03\u4ee5\u6765\uff0c\u5df2\u7ecf\u6301\u7eed\u6f14\u8fdb\u8fd1 20 \u5e74<\/strong>[6]\u3002<\/p>\n

\u5728\u5de5\u5177\u94fe\u5c42\u9762\uff0cNVIDIA \u56f4\u7ed5 CUDA \u6784\u5efa\u8d77\u8986\u76d6\u6df1\u5ea6\u5b66\u4e60\u3001HPC(\u9ad8\u6027\u80fd\u8ba1\u7b97)\u3001\u6570\u636e\u79d1\u5b66\u4e0e AI \u63a8\u7406\u7684\u5b8c\u6574\u4f53\u7cfb\u3002PyTorch(\u76ee\u524d\u6700\u4e3b\u6d41\u7684 AI \u6a21\u578b\u8bad\u7ec3\u6846\u67b6)\u3001TensorFlow(Google \u63a8\u51fa\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6)\u3001JAX(Google \u63a8\u51fa\u7684\u9ad8\u6027\u80fd\u673a\u5668\u5b66\u4e60<\/a>\u8ba1\u7b97\u6846\u67b6)\u7b49\u4e3b\u6d41\u6846\u67b6\u9ed8\u8ba4\u4ee5 CUDA \u4f5c\u4e3a\u7b2c\u4e00\u4f18\u5148\u7ea7\u540e\u7aef\uff0cvLLM(\u5927\u6a21\u578b\u9ad8\u541e\u5410\u63a8\u7406\u6846\u67b6)\u3001TensorRT-LLM(NVIDIA \u5b98\u65b9\u7684\u5927\u6a21\u578b\u63a8\u7406\u52a0\u901f\u5f15\u64ce)\u3001SGLang(\u9762\u5411\u5927\u6a21\u578b\u670d\u52a1\u4e0e\u63a8\u7406\u4f18\u5316\u7684\u5f00\u6e90\u6846\u67b6)\u7b49\u4e3b\u6d41\u63a8\u7406\u6846\u67b6\u4e5f\u90fd\u9996\u5148\u56f4\u7ed5 NVIDIA \u5e73\u53f0\u5f00\u53d1\u3002\u5f53\u524d\u5927\u91cf\u524d\u6cbf\u6a21\u578b\u7684\u8bad\u7ec3\u4e0e\u90e8\u7f72\uff0c\u4ecd\u9ad8\u5ea6\u4f9d\u8d56 CUDA \u751f\u6001\u3002<\/p>\n

\u56fd\u4ea7\u751f\u6001\u76f8\u6bd4\u4ecd\u5904\u4e8e\u660e\u663e\u66f4\u65e9\u671f\u9636\u6bb5\u3002\u534e\u4e3a CANN \u662f\u5176\u4e2d\u63a8\u8fdb\u6700\u5feb\u7684\u4e00\u5957\uff1a2018 \u5e74\u53d1\u5e03\uff0cCANN 6.0(2022)\u5f00\u59cb\u652f\u6301\u5927\u91cf\u4e3b\u6d41\u6a21\u578b\u4e0e\u6846\u67b6\u517c\u5bb9\uff1b2024-2025 \u5e74\u534e\u4e3a\u8fdb\u4e00\u6b65\u63a8\u8fdb CANN 8.x \u5e76\u5ba3\u5e03\u5de5\u5177\u94fe\u5168\u9762\u5f00\u6e90[15]\uff0c\u8fd9\u662f\u56fd\u4ea7 AI \u8f6f\u4ef6\u751f\u6001\u8fc4\u4eca\u6700\u91cd\u8981\u7684\u6218\u7565\u5347\u7ea7\u3002\u4f46\u771f\u6b63\u7684\u5dee\u8ddd\u4e0d\u5728\"\u652f\u6301\u591a\u5c11\u6a21\u578b\"\uff0c\u800c\u5728\u8d77\u8dd1\u65f6\u95f4\u5b58\u5728 12 \u5e74\u4ee3\u5dee\u3001\u5f00\u53d1\u8005\u57fa\u6570\u4ecd\u4e3a\u767e\u4e07\u7ea7\u4ee5\u4e0b\u3001\u4e3b\u6d41\u6846\u67b6\u5bf9\u56fd\u4ea7\u5e73\u53f0\u4ecd\u505c\u7559\u5728“\u517c\u5bb9\u4e0e\u8fc1\u79fb”\u5c42\u9762<\/strong>\u3002\u5bd2\u6b66\u7eaa NeuWare\u3001\u6d77\u5149 DTK \u7b49\u5176\u4ed6\u65b9\u6848\u5219\u5904\u4e8e\u66f4\u65e9\u671f\u9636\u6bb5\u3002\u5f53\u524d\u56fd\u4ea7 AI \u82af\u7247\u771f\u6b63\u9762\u5bf9\u7684\uff0c\u5e76\u4e0d\u662f“\u6709\u6ca1\u6709\u8f6f\u4ef6\u6808”\u7684\u95ee\u9898\uff0c\u800c\u662f CUDA \u5df2\u7ecf\u6210\u4e3a\u5168\u7403 AI \u5f00\u53d1\u7684\u9ed8\u8ba4\u8bed\u8a00\uff0c\u800c\u56fd\u4ea7\u751f\u6001\u4ecd\u7136\u5904\u4e8e“\u5efa\u7acb\u7b2c\u4e8c\u8bed\u8a00”\u7684\u9636\u6bb5<\/strong>\u3002<\/p>\n

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\u4ee5 LLaMA-2 70B(Meta \u53d1\u5e03\u7684\u7b2c\u4e8c\u4ee3 700 \u4ebf\u53c2\u6570\u5927\u8bed\u8a00\u6a21\u578b)\u63a8\u7406\u4e3a\u4f8b\uff0cSemiAnalysis \u7b49\u673a\u6784\u6d4b\u7b97\u8ba4\u4e3a\u6607\u817e 910C \u7684\u90e8\u5206\u786c\u4ef6\u6307\u6807\u5df2\u8fbe\u5230 H100 \u7684\u7ea6 80%[10]\uff0c\u4f46 DeepSeek \u7b49\u56e2\u961f\u7684\u5b9e\u6d4b\u663e\u793a\uff0c\u771f\u5b9e\u63a8\u7406\u5de5\u4f5c\u8d1f\u8f7d\u4e0b\u6574\u4f53\u6027\u80fd\u7ea6\u4e3a H100 \u7684 60%[9]\u3002\u4ece“\u7eb8\u9762 80%”\u5230“\u5b9e\u9645 60%”\u4e4b\u95f4\u8fd9 20 \u4e2a\u767e\u5206\u70b9\u7684\u5dee\u8ddd\uff0c\u672c\u8d28\u4e0a\u5c31\u662f\u751f\u6001\u6210\u719f\u5ea6\u5e26\u6765\u7684\u6027\u80fd\u635f\u8017<\/strong>\u3002<\/p>\n

\u8fd9\u79cd\u635f\u8017\u4e3b\u8981\u6765\u81ea\u4e09\u4e2a\u5c42\u9762\uff1a\u5173\u952e\u7b97\u5b50\u5e93(FlashAttention\u3001KV-Cache\u3001MoE Routing)\u7684\u4f18\u5316\u6ede\u540e\u3001\u7f16\u8bd1\u5668\u534f\u540c\u4e0e\u7b97\u5b50\u878d\u5408\u4f53\u7cfb\u4e0d\u591f\u6210\u719f\u3001\u901a\u4fe1\u5e93\u4e0e\u96c6\u7fa4\u8f6f\u4ef6\u6808\u4ecd\u5728\u5feb\u901f\u8fed\u4ee3\u7b49\u591a\u5904\u53e0\u52a0\u3002\u8fd9\u610f\u5473\u7740\uff0c\u5373\u4fbf\u56fd\u4ea7\u82af\u7247\u5728\u91c7\u8d2d\u4ef7\u683c\u4e0a\u63a5\u8fd1 NVIDIA\uff0c\u5982\u679c\u5b9e\u9645\u6709\u6548\u7b97\u529b\u53ea\u80fd\u53d1\u6325\u5bf9\u65b9\u516d\u6210\uff0c\u4f01\u4e1a\u6700\u7ec8\u7701\u4e0b\u7684\u786c\u4ef6\u6210\u672c\uff0c\u5f88\u53ef\u80fd\u91cd\u65b0\u6d88\u8017\u5728\u989d\u5916\u670d\u52a1\u5668\u3001\u5de5\u7a0b\u9002\u914d\u4e0e\u8fd0\u7ef4\u590d\u6742\u5ea6\u4e0a\u3002<\/p>\n

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\u56fd\u4ea7AI\u82af\u7247\u7684\u771f\u5b9e\u683c\u5c40<\/h2>\n

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\u56fe\u88684\uff1a\u73a9\u5bb6\u6e05\u5355\u8868<\/p>\n

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AI \u82af\u7247\u7ade\u4e89\u6b63\u5728\u5206\u5316\u4e3a\u4e24\u79cd\u6218\u4e89\uff1a\u63a8\u7406\u5e02\u573a\u66f4\u50cf\u6210\u672c\u4e0e\u4f9b\u7ed9\u80fd\u529b\u7684\u7ade\u4e89<\/strong>\uff1b\u8bad\u7ec3\u5e02\u573a\u5219\u66f4\u50cf\u751f\u6001\u3001\u5de5\u5177\u94fe\u4e0e\u5f00\u53d1\u8005\u4f53\u7cfb\u7684\u7ade\u4e89<\/strong>\u3002\u8fd9\u4e5f\u89e3\u91ca\u4e86\u4e3a\u4ec0\u4e48\u56fd\u4ea7\u4efd\u989d\u80fd\u591f\u5feb\u901f\u63d0\u5347\uff0c\u4f46 NVIDIA \u7684\u751f\u6001\u4f18\u52bf\u4e0e\u5229\u6da6\u7387\u4f9d\u7136\u7a33\u56fa\u3002<\/p>\n

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\"\u56fd\u4ea7AI\u82af\u7247\u4e09\u56fd\u6740\uff1a\u4ece\u7b97\u529b\u7ade\u4e89\u5230\u751f\u6001\u6218\u4e89\"<\/p>\n

\u56fe\u88685\uff1a\u4e09\u6761\u751f\u6001\u8def\u5f84\u5bf9\u7167\u8868<\/p>\n

\u4e09\u6761\u8def\u5f84\u7684\u6839\u672c\u5dee\u5f02\u4e0d\u5728\u6280\u672f\u7ec6\u8282\uff0c\u800c\u5728\u7ade\u4e89\u7b56\u7565\uff1a<\/p>\n

\u56de\u770b AI \u82af\u7247\u4ea7\u4e1a\u7684\u6f14\u8fdb\uff0c\u7ade\u4e89\u7684“\u51b3\u80dc\u7ef4\u5ea6”\u7ecf\u5386\u8fc7\u4e00\u6b21\u8fc1\u79fb\u3002\u8fd9\u573a\u8fc1\u79fb\u4e3b\u8981\u53d1\u751f\u5728 NVIDIA \u4e3b\u5bfc\u7684\u8fc7\u53bb\u5341\u4f59\u5e74\u91cc\uff1a\u6700\u65e9\uff0c\u786c\u4ef6\u6027\u80fd\u5f3a\u8005\u80dc\uff1b\u968f\u7740 AI \u666e\u53ca\uff0c\u8f6f\u4ef6\u6808(\u7f16\u8bd1\u5668\u3001\u7b97\u5b50\u5e93)\u7684\u6210\u719f\u5ea6\u6210\u4e3a\u6548\u7387\u5206\u6c34\u5cad\uff1b\u800c\u5230\u4e86\u4eca\u5929\uff0c\u51b3\u5b9a\u683c\u5c40\u7684\u5df2\u662f\u751f\u6001\u89c4\u6a21\u4e0e\u7f51\u7edc\u6548\u5e94\u5e26\u6765\u7684\u8def\u5f84\u4f9d\u8d56\u3002\u8d8a\u5f80\u540e\uff0c\u751f\u6001\u5c42\u7684\u6743\u91cd\u8d8a\u5927——\u8fd9\u662f NVIDIA \u5373\u4f7f\u786c\u4ef6\u4f18\u52bf\u6536\u7a84\u3001\u4ecd\u80fd\u7a33\u5b88\u5e02\u573a\u5730\u4f4d\u7684\u6839\u672c\u539f\u56e0\u3002\u8fd9\u4e5f\u70b9\u51fa\u4e86\u56fd\u4ea7 AI \u82af\u7247\u7684\u7ed3\u6784\u6027\u56f0\u5883\uff1a\u5728\u5b83\u4eec\u5927\u89c4\u6a21\u5165\u573a\u65f6(2019 \u5e74\u4e4b\u540e)\u7ade\u4e89\u65e9\u5df2\u8fdb\u5165“\u751f\u6001\u51b3\u80dc”\u9636\u6bb5\u3002\u65e2\u9519\u8fc7\u4e86“\u786c\u4ef6\u51b3\u80dc”\u7684\u7a97\u53e3\u671f\uff0c\u53c8\u4e0d\u5f97\u4e0d\u76f4\u63a5\u5728 NVIDIA \u6700\u6df1\u7684\u62a4\u57ce\u6cb3\u4e0a\u6b63\u9762\u4ea4\u950b\u3002\u8fd9\u4e5f\u662f\u4e3a\u4ec0\u4e48\u5355\u5361\u6027\u80fd\u7684\u8ffd\u5e73\uff0c\u5e76\u4e0d\u8db3\u4ee5\u64bc\u52a8\u6574\u4f53\u683c\u5c40\u3002<\/p>\n

2025 \u5e74\u4e2d\u56fd AI \u82af\u7247\u5e02\u573a\u7684\u6838\u5fc3\u53d8\u5316\u5e76\u4e0d\u662f“\u66ff\u4ee3\u5b8c\u6210”\uff0c\u800c\u662f\u4f9b\u7ed9\u80fd\u529b\u663e\u8457\u6269\u5f20\u540e\u7684\u7ed3\u6784\u6027\u5206\u5c42\u5f62\u6210——NVIDIA \u4ecd\u4e3b\u5bfc\u9ad8\u7aef\u8bad\u7ec3\u4e0e\u524d\u6cbf\u6a21\u578b\u5f00\u53d1\uff0c\u56fd\u4ea7\u82af\u7247\u5219\u7387\u5148\u5728\u63a8\u7406\u3001\u653f\u4f01\u3001\u8fd0\u8425\u5546\u548c\u6210\u672c\u654f\u611f\u578b\u573a\u666f\u4e2d\u5b9e\u73b0\u89c4\u6a21\u5316\u843d\u5730\u3002\u4e0d\u540c\u56fd\u4ea7\u5382\u5546\u4e4b\u95f4\uff0c\u4e5f\u5f00\u59cb\u5f62\u6210\u4e0d\u540c\u6280\u672f\u8def\u7ebf\u4e0e\u5ba2\u6237\u5b9a\u4f4d\u3002<\/p>\n

\u8fd9\u4e5f\u610f\u5473\u7740\uff0c\u5bf9\u56fd\u4ea7 AI \u82af\u7247\u7684\u8bc4\u4f30\uff0c\u4e0d\u80fd\u4ec5\u4f9d\u636e“\u4efd\u989d\u63d0\u5347”\u6216“\u6027\u80fd\u63a5\u8fd1 H100”\u8fd9\u7c7b\u8868\u5c42\u6307\u6807\u3002\u56e0\u4e3a\u5e02\u573a\u4efd\u989d\u53ef\u4ee5\u7531\u4f9b\u5e94\u94fe\u73af\u5883\u63a8\u52a8\uff0c\u786c\u4ef6\u6027\u80fd\u4e5f\u53ef\u4ee5\u901a\u8fc7\u5de5\u7a0b\u6295\u5165\u6301\u7eed\u903c\u8fd1\uff1b\u4f46\u751f\u6001\u8fc1\u79fb\u7684\u901f\u5ea6\uff0c\u5f80\u5f80\u6162\u4e8e\u786c\u4ef6\u8ffd\u8d76\uff0c\u5e76\u4e14\u5177\u6709\u660e\u663e\u7684\u8def\u5f84\u4f9d\u8d56\u7279\u5f81\u3002\u672a\u6765\u51e0\u5e74\uff0c\u771f\u6b63\u503c\u5f97\u6301\u7eed\u8ddf\u8e2a\u7684\uff0c\u53ef\u80fd\u662f\u4e24\u4e2a\u66f4\u6df1\u5c42\u7684\u9886\u5148\u6307\u6807\uff1a\u5176\u4e00\uff0c\u56fd\u4ea7\u82af\u7247\u80fd\u5426\u771f\u6b63\u8fdb\u5165\u5927\u6a21\u578b\u8bad\u7ec3\u8fd9\u4e00\u6838\u5fc3\u5de5\u4f5c\u8d1f\u8f7d\uff1b\u5176\u4e8c\uff0c\u5f00\u6e90\u4e2d\u95f4\u5c42\u4e0e“\u786c\u4ef6\u53ef\u63d2\u62d4”\u67b6\u6784\uff0c\u662f\u5426\u8db3\u4ee5\u524a\u5f31 CUDA \u5bf9\u5f00\u53d1\u6d41\u7a0b\u7684\u7ed1\u5b9a\u80fd\u529b\u3002\u524d\u8005\u51b3\u5b9a\u56fd\u4ea7\u66ff\u4ee3\u80fd\u591f\u8fbe\u5230\u7684\u4ea7\u4e1a\u4e0a\u9650\uff0c\u540e\u8005\u5219\u51b3\u5b9a NVIDIA \u7684\u751f\u6001\u4f18\u52bf\u662f\u5426\u4f1a\u51fa\u73b0\u7ed3\u6784\u6027\u677e\u52a8\u3002<\/p>\n

\u9644\u5f55\uff1a\u56fd\u4ea7AI\u82af\u7247\u80fd\u529b\u4e00\u89c8\uff08\u4ee5NVIDIA\u4e3a\u57fa\u51c6\uff09<\/strong><\/p>\n

\u6570\u636e\u622a\u81f32026\u5e741\u6708\u3002\"\u672a\u516c\u5f00\"= \u5382\u5546\u672a\u62ab\u9732\u786e\u5207\u53c2\u6570\uff0c\u4e0d\u505a\u4f30\u7b97\u586b\u5145\u3002<\/p>\n

\"\u56fd\u4ea7AI\u82af\u7247\u4e09\u56fd\u6740\uff1a\u4ece\u7b97\u529b\u7ade\u4e89\u5230\u751f\u6001\u6218\u4e89\"<\/p>\n

\u56fd\u4ea7AI\u82af\u7247\u80fd\u529b\u4e00\u89c8\uff08\u4ee5NVIDIA\u4e3a\u57fa\u51c6\uff09<\/p>\n

[1]<\/span><\/span><\/strong>IDC(\u7ecf The Decoder \u62a5\u9053),\u300aChinese chipmakers now control 41 percent of China's AI accelerator market\u300b,https:\/\/the-decoder.com\/chinese-chipmakers-now-control-41-percent-of-chinas-ai-accelerator-market\/<\/span><\/span><\/p>\n

[2]<\/span><\/span><\/strong>\u4e2d\u79d1\u5bd2\u6b66\u7eaa\u79d1\u6280\u80a1\u4efd\u6709\u9650\u516c\u53f8,\u300a2025 \u5e74\u5e74\u5ea6\u62a5\u544a\u300b\u3002<\/span><\/span><\/p>\n

[3]<\/span><\/span><\/strong>\u6d77\u5149\u4fe1\u606f\u6280\u672f\u80a1\u4efd\u6709\u9650\u516c\u53f8,\u300a2025 \u5e74\u5e74\u5ea6\u62a5\u544a\u300b\u3002<\/span><\/span><\/p>\n

[4]<\/span><\/span><\/strong>CNBC,\u300aAs Nvidia gets a lifeline in China, Jensen Huang goes on the charm offensive in Beijing\u300b,https:\/\/www.cnbc.com\/2025\/07\/16\/as-nvidia-gets-a-lifeline-in-china-jensen-huang-goes-on-the-charm-offensive-in-beijing.html<\/span><\/span><\/p>\n

[5]<\/span><\/span><\/strong>AIM\u300aJensen Huang Says NVIDIA’s China Chip Share Has Fallen to Zero\u300b,https:\/\/analyticsindiamag.com\/ai-news\/jensen-huang-says-nvidias-china-chip-share-has-fallen-to-zero<\/span><\/span><\/p>\n

[6]<\/span><\/span><\/strong>NVIDIA 10-K Annual Report FY2025\uff0chttps:\/\/www.sec.gov\/Archives\/edgar\/data\/1045810\/000104581025000023\/nvda-20250126.htm<\/span><\/span><\/p>\n

[7]<\/span><\/span><\/strong>Digitimes,\u300aHuawei Ascend AI chip yield rate report\u300b,https:\/\/www.digitimes.com\/news\/a20250225PD224\/huawei-ascend-ai-chip-yield-rate.html<\/span><\/span><\/p>\n

[8]<\/span><\/span><\/strong>SemiAnalysis,\u300aHuawei Ascend Production Ramp: Die Banks, TSMC Continued Production, HBM is The Bottleneck\u300b,https:\/\/newsletter.semianalysis.com\/p\/huawei-ascend-production-ramp<\/span><\/span><\/p>\n

[9]<\/span><\/span><\/strong>Tom's Hardware,\u300aDeepSeek research suggests Huawei's Ascend 910C delivers 60% of Nvidia H100 inference performance\u300b,https:\/\/www.tomshardware.com\/tech-industry\/artificial-intelligence\/deepseek-research-suggests-huaweis-ascend-910c-delivers-60-percent-nvidia-h100-inference-performance<\/span><\/span><\/p>\n

[10]<\/span><\/span><\/strong>News,\u300aHuawei’s Ascend 910C Takes on NVIDIA as China’s AI Race Heats Up: More Alleged Details\u300b\uff0chttps:\/\/www.trendforce.com\/news\/2025\/03\/13\/news-huaweis-ascend-910c-takes-on-nvidia-as-chinas-ai-race-heats-up-more-alleged-details\/<\/span><\/span><\/p>\n

[11]<\/span><\/span><\/strong>SemiAnalysis,\u300aHuawei CloudMatrix 384\u300b;Counterpoint Research(\u7ecf TechStartups \u62a5\u9053),\u300aHuawei's Ascend 910C system reportedly outperforms Nvidia's H100 in key metrics\u300b,https:\/\/techstartups.com\/2025\/04\/28\/<\/span><\/span><\/p>\n

[12]<\/span><\/span><\/strong>NVIDIA Corporation,\u300aNVIDIA Blackwell Architecture \/ GB200 NVL72 Datasheet\u300b,https:\/\/www.nvidia.com\/en-us\/data-center\/gb200-nvl72\/<\/span><\/span><\/p>\n

[13]<\/span><\/span><\/strong>SemiAnalysis,\u300aGoogle TPUv7: The 900lb Gorilla In the Room\u300b,https:\/\/newsletter.semianalysis.com\/p\/tpuv7-google<\/a>-takes-a-swing-at-the<\/span><\/span><\/p>\n

[14]<\/span><\/span><\/strong>U.S. Department of Commerce, Bureau of Industry and Security (BIS),\u300aExport Controls Final Rule, 89 Fed. Reg. 96790\u300b,https:\/\/www.bis.gov\/<\/span><\/span><\/p>\n

[15]<\/span><\/span><\/strong>\u89c2\u5bdf\u8005\u7f51,\u300a\u5bf9\u6807\u82f1\u4f1f\u8fbe CUDA,\u534e\u4e3a\u5ba3\u5e03\u5f00\u6e90 CANN\u300b,https:\/\/www.guancha.cn\/economy\/2025_08_05_785551.shtml<\/span><\/span><\/p>\n

[16]<\/span><\/span><\/strong>\u7535\u5b50\u5de5\u7a0b\u4e13\u8f91(EE Times China),\u300a\u592e\u89c6\"\u610f\u5916\"\u66dd\u5149\u53c2\u6570:\u5e73\u5934\u54e5 PPU \u82af\u7247\u8d85\u8d8a\u82f1\u4f1f\u8fbe A800\u300b,https:\/\/www.eet-china.com\/news\/202509177867.html<\/span><\/span><\/p>\n

[17]<\/span><\/span><\/strong>\u5434\u5efa\u660e,\u300a\u56fd\u4ea7 AI \u82af\u7247\u4ea7\u4e1a\u6df1\u5ea6\u7814\u7a76\u62a5\u544a(2025 \u5e74\u5ea6)\u300b,https:\/\/www.cnblogs.com\/wujianming-110117\/p\/19240246<\/span><\/span><\/p>\n

[18]<\/span><\/span><\/strong>36 \u6c2a,\u300a2026,\u56fd\u4ea7 AI \u82af\u7247,\u8de8\u8d8a\u5929\u5811:\u4ece\"\u63a8\u7406\"\u8d70\u5411\"\u8bad\u7ec3\"\u300b,https:\/\/www.36kr.com\/p\/3696839539338881<\/span><\/span><\/p>\n

(\u6765\u6e90\uff1a\u949b\u5a92\u4f53)<\/p>\n","protected":false},"excerpt":{"rendered":"

\u6587 | \u667a\u8baf\u667a\u5e93\u5206\u6790\u5e08 \u5218\u5a77 2025\u5e74\u4e0b\u534a\u5e74\uff0c“\u56fd\u4ea7 AI \u82af\u7247\u5d1b\u8d77”\u5728\u4e2d\u56fd\u5e02\u573a\u9010\u6e10 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[6],"tags":[271,71,195,264,266,340,62,23,27,277,120,88,367,119,339,192],"views":10,"_links":{"self":[{"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=\/wp\/v2\/posts\/789147"}],"collection":[{"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=789147"}],"version-history":[{"count":0,"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=\/wp\/v2\/posts\/789147\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=789147"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=789147"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.alphaseek.cn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=789147"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}