{"id":348,"date":"2025-11-28T22:10:50","date_gmt":"2025-11-28T14:10:50","guid":{"rendered":"https:\/\/localarch.ai\/affordable-power-why-amd-gpus-are-a-smart-alternative-to-nvidia-for-machine-learning-and-large-language-models\/"},"modified":"2025-10-12T15:21:22","modified_gmt":"2025-10-12T07:21:22","slug":"affordable-power-why-amd-gpus-are-a-smart-alternative-to-nvidia-for-machine-learning-and-large-language-models","status":"publish","type":"post","link":"https:\/\/localarch.ai\/zh-hant\/affordable-power-why-amd-gpus-are-a-smart-alternative-to-nvidia-for-machine-learning-and-large-language-models\/","title":{"rendered":"\u7d93\u6fdf\u5be6\u60e0\u7684\u529f\u7387\uff1a\u70ba\u4ec0\u9ebc AMD GPU \u662f\u6a5f\u5668\u5b78\u7fd2\u548c\u5927\u578b\u8a9e\u8a00\u6a21\u578b\u7684 Nvidia \u7684\u660e\u667a\u66ff\u4ee3\u54c1"},"content":{"rendered":"<p>\u5728\u5feb\u901f\u767c\u5c55\u7684\u6a5f\u5668\u5b78\u7fd2 (ML) \u548c\u5927\u578b\u8a9e\u8a00\u6a21\u578b (LLM) \u9818\u57df\uff0c\u6191\u85c9 CUDA \u751f\u614b\u7cfb\u7d71\u548c\u5c08\u696d\u7684 Tensor Core\uff0cNvidia \u9577\u671f\u4ee5\u4f86\u4e00\u76f4\u662f\u884c\u696d\u6a19\u7aff\u3002\u7136\u800c\uff0cNvidia \u9ad8\u968e\u986f\u793a\u5361\uff08\u4f8b\u5982 A100 \u6216 H100\uff09\u50f9\u683c\u98db\u6f32\uff0c\u8b93\u4eba\u611f\u89ba\u9032\u5165 AI \u958b\u767c\u9818\u57df\u5c31\u50cf\u9032\u5165\u4e86\u79d1\u6280\u5de8\u982d\u7684\u5c08\u5c6c\u4ff1\u6a02\u90e8\u3002\u622a\u81f3 2025 \u5e74 9 \u6708\uff0cH100 \u7684\u50f9\u683c\u53ef\u80fd\u9ad8\u9054 25,000 \u7f8e\u5143\uff0c\u800c\u5373\u4f7f\u662f\u6d88\u8cbb\u7d1a RTX 5090 \u7684\u5efa\u8b70\u96f6\u552e\u50f9\u4e5f\u9ad8\u9054 1,999 \u7f8e\u5143\uff08\u7531\u65bc\u7f3a\u8ca8\uff0c\u5e02\u5834\u50f9\u683c\u901a\u5e38\u8d85\u904e 3,000 \u7f8e\u5143\uff09\u3002 AMD \u7684\u986f\u793a\u5361\u50f9\u683c\u901a\u5e38\u53ea\u6709\u540c\u985e Nvidia \u986f\u793a\u5361\u7684\u4e00\u534a\u751a\u81f3\u4e09\u5206\u4e4b\u4e00\uff0cAMD \u7684 GPU \u70ba TensorFlow \u5de5\u4f5c\u6d41\u7a0b\u3001\u900f\u904e Ollama \u7b49\u5de5\u5177\u9032\u884c LLM \u63a8\u7406\u7b49\u63d0\u4f9b\u4e86\u6975\u5177\u5438\u5f15\u529b\u7684\u50f9\u503c\u3002\u4f46\u5b83\u5011\u771f\u7684\u53ef\u884c\u55ce\uff1f\u672c\u6587\u6df1\u5165\u7814\u7a76\uff0c\u6bd4\u8f03\u4e3b\u8981\u578b\u865f\uff08\u5305\u62ec\u60a8\u5efa\u8b70\u7684 Radeon VII \u548c Instinct MI50\uff0c\u4ee5\u53ca\u65b0\u7684 RTX 5090\uff09\uff0c\u5206\u6790\u512a\u7f3a\u9ede\uff0c\u4e26\u63a2\u7d22\u5176\u4ed6 Nvidia \u66ff\u4ee3\u54c1\u3002     <\/p>\n<p><strong>\u6a5f\u5668\u5b78\u7fd2\u548c\u5927\u8a9e\u8a00\u6a21\u578b (LLM) \u7684 AMD GPU\uff1a\u5f9e\u50b3\u7d71\u5230\u5c16\u7aef<\/strong><\/p>\n<p>AMD \u7684\u7522\u54c1\u7dda\u6db5\u84cb\u696d\u9918\u611b\u597d\u8005\u7684\u6d88\u8cbb\u7d1a Radeon \u986f\u793a\u5361\u548c\u4f01\u696d\u7d1a\u6a5f\u5668\u5b78\u7fd2\u7684 Instinct \u52a0\u901f\u5668\u3002\u60a8\u4e4b\u524d\u63d0\u5230\u904e Radeon VII\uff082019 \u5e74\u63a8\u51fa\uff09\u548c Instinct MI50\uff082018 \u5e74\u63a8\u51fa\uff09\uff0c\u5b83\u5011\u90fd\u662f\u57fa\u65bc Vega \u67b6\u69cb\uff0c\u914d\u5099 16GB HBM2 \u986f\u5b58\uff0c\u4f46\u5982\u4eca\u5b83\u5011\u5df2\u4e0d\u518d\u662f\u71b1\u9580\u7522\u54c1\u3002\u76ee\u524d\uff0c\u4e8c\u624b Radeon VII \u5728\u4e8c\u7d1a\u5e02\u5834\u7684\u552e\u50f9\u5728 500 \u81f3 800 \u7f8e\u5143\u4e4b\u9593\uff0c\u800c MI50 \u7684\u552e\u50f9\u5247\u5728 1,000 \u81f3 2,000 \u7f8e\u5143\u4e4b\u9593\u3002\u5b83\u5011\u5728\u7576\u6642\u582a\u7a31\u5f37\u5927\uff0c\u53ef\u63d0\u4f9b\u9ad8\u9054 14.1 TFLOPS FP32 \u904b\u7b97\u80fd\u529b\uff0c\u4f46 AMD \u7684 ROCm\uff08Radeon Open Compute\uff09\u5e73\u53f0\uff08\u6a5f\u5668\u5b78\u7fd2\u52a0\u901f\u7684\u95dc\u9375\uff09\u5df2\u5c07\u91cd\u9ede\u8f49\u5411 RDNA 3\uff08\u6d88\u8cbb\u7d1a\uff09\u548c CDNA 3\uff08\u8cc7\u6599\u4e2d\u5fc3\u7d1a\uff09\u7b49\u66f4\u65b0\u7684\u67b6\u69cb\u3002   <\/p>\n<p>\u5c0d\u65bc 2025 \u5e74 ML\/LLM \u5de5\u4f5c\u8ca0\u8f09\uff0cAMD \u5efa\u8b70\uff1a<\/p>\n<ul>\n<li>\u6d88\u8cbb\u8005\uff1aRadeon RX 7900 XTX\uff0824GB GDDR6\uff0c\u5efa\u8b70\u96f6\u552e\u50f9 999 \u7f8e\u5143\uff09\u2014\u2014\u975e\u5e38\u9069\u5408\u672c\u5730 LLM \u63a8\u7406\uff0c\u900f\u904e\u512a\u5316\u7684 ROCm \u5eab\uff0c\u7522\u751f AI \u4efb\u52d9\u7684\u901f\u5ea6\u53ef\u63d0\u9ad8 4.3 \u500d\u3002<\/li>\n<li>\u5c08\u696d\u7248\uff1aInstinct MI300X\uff08192GB HBM3\uff0c\u7d04 15,000 \u81f3 20,000 \u7f8e\u5143\uff09\u2014\u2014\u4e00\u6b3e\u6578\u64da\u4e2d\u5fc3\u5de8\u7378\uff0c\u5728 LLM \u5fae\u8abf\u65b9\u9762\u53ef\u8207 Nvidia \u7684 H200 \u76f8\u5ab2\u7f8e\uff0c\u5728\u67d0\u4e9b\u57fa\u6e96\u6e2c\u8a66\u4e2d\u6bcf\u7f8e\u5143\u7684\u63a8\u7406\u6027\u80fd\u63d0\u9ad8\u4e86 2.4 \u500d\u3002<\/li>\n<\/ul>\n<p>\u9019\u4e9b\u5361\u5728 TensorFlow\uff08\u900f\u904e ROCm \u63d2\u4ef6\uff09\u548c PyTorch \u4e2d\u8868\u73fe\u51fa\u8272\uff0c\u652f\u63f4\u5728\u55ae\u5361\u4e0a\u5c0d\u9ad8\u9054 70B \u53c3\u6578\u7684\u6a21\u578b\u9032\u884c\u5206\u6563\u5f0f\u8a13\u7df4\u548c\u63a8\u7406\u3002<\/p>\n<p><strong>\u9019\u4e9b\u5361\u5728 TensorFlow\uff08\u7a7f\u900f ROCm \u63d2\u4ef6\uff09\u548c PyTorch \u4e2d\u8868\u73fe\uff0c\u652f\u63f4\u5728\u55ae\u5361\u4e0a\u5c0d\u9ad8\u9054 70B \u53c3\u6578\u7684\u6a21\u578b\u9032\u884c\u5206\u6563\u5f0f\u8a13\u7df4\u548c\u63a8\u7406\u3002<\/strong><\/p>\n<p>\u5230 2025 \u5e74\uff0cAMD \u7684 ROCm \u5806\u758a\u5df2\u986f\u8457\u6210\u719f\uff0c\u5f4c\u88dc\u4e86\u8207 Nvidia CUDA \u7684\u5dee\u8ddd\u3002 TensorFlow \u6b63\u5f0f\u652f\u63f4 AMD GPU \u7684 ROCm\uff0c\u5f9e\u800c\u5728 Linux \u4e0a\uff08\u4ee5\u53ca Windows \u4e0a\u7684 WSL2\uff09\u5be6\u73fe\u7121\u7e2b\u52a0\u901f\u3002\u5c0d\u65bc LLM\uff0cOllama\uff08\u4e00\u500b\u7528\u65bc\u672c\u5730\u904b\u884c Llama 3 \u7b49\u6a21\u578b\u7684\u6d41\u884c\u5de5\u5177\uff09\u73fe\u5728\u900f\u904e ROCm 6.1 \u539f\u751f\u652f\u63f4 AMD\uff0c\u6db5\u84cb Radeon RX 7000 \u7cfb\u5217\u3001Radeon Pro W7900 \u548c Instinct MI300X\u3002\u7528\u6236\u5831\u544a\u7a31\uff0c\u5728\u652f\u63f4\u7684\u986f\u793a\u5361\u4e0a\uff0c\u5373\u4f7f\u662f RX 7900 XT \u7b49\u8001\u6b3e\u986f\u793a\u5361\uff0cGPU \u4f7f\u7528\u7387\u4e5f\u80fd\u9054\u5230 100%\uff0c\u4e0d\u904e\uff0c\u5c0d\u65bc Radeon VII \u7b49 Vega \u6642\u4ee3\u7684\u986f\u793a\u5361\uff0c\u53ef\u80fd\u9700\u8981\u9032\u884c\u4e00\u4e9b\u8abf\u6574\uff08\u4f8b\u5982\uff0c\u91dd\u5c0d\u4e0d\u652f\u63f4\u7684 GPU \u4f7f\u7528 HSA_OVERRIDE_GFX_VERSION\uff09\u3002   <\/p>\n<p>\u9700\u8981\u6ce8\u610f\u7684\u662f\uff1aWindows \u652f\u63f4\u843d\u5f8c\u65bc Linux\uff0c\u4e26\u4e14\u4e26\u975e\u6240\u6709 AMD \u986f\u793a\u5361\u90fd\u901a\u904e\u4e86 ROCm \u8a8d\u8b49\uff08\u4f8b\u5982\uff0cMI50 \u7684 Vega \u652f\u63f4\u5728 ROCm 5.x \u7248\u672c\u4e2d\u7d42\u6b62\uff09\u3002\u4e0d\u904e\uff0c\u5c0d\u65bc Ollama \u63a8\u7406\u800c\u8a00\uff0c\u8207\u50c5\u4f7f\u7528 CPU \u904b\u884c\u76f8\u6bd4\uff0cAMD \u7684\u8a18\u61b6\u9ad4\u6548\u7387\u63d0\u5347\u4e86 2-4 \u500d\uff0c\u9019\u4f7f\u5176\u6210\u70ba\u6ce8\u91cd\u9810\u7b97\u7684\u958b\u767c\u8005\u7684\u7406\u60f3\u9078\u64c7\u3002 <\/p>\n<p><strong>\u6b63\u9762\u6bd4\u8f03\uff1aAMD \u8207 Nvidia<\/strong><\/p>\n<p>\u70ba\u4e86\u91cf\u5316\u5176\u50f9\u503c\uff0c\u4ee5\u4e0b\u662f\u63a8\u85a6\u7684 AMD \u986f\u793a\u5361\u8207 Nvidia \u540c\u985e\u986f\u793a\u5361\u7684\u5c0d\u6bd4\uff0c\u76ee\u524d\u5305\u62ec\u65d7\u8266 RTX 5090\uff082025 \u5e74 1 \u6708\u767c\u5e03\uff0c\u63a1\u7528 Blackwell \u67b6\u69cb\uff0c\u914d\u5099 32GB GDDR7 \u986f\u5b58\u548c 21,760 \u500b CUDA \u6838\u5fc3\uff0c\u53ef\u63d0\u4f9b\u5353\u8d8a\u7684 AI \u52a0\u901f\uff09\u3002\u50f9\u683c\u53cd\u6620\u7684\u662f 2025 \u5e74\u4e8c\u624b\/\u7ffb\u65b0\u6a5f\u7684\u4e8c\u7d1a\u5e02\u5834\u5e73\u5747\u50f9\u683c\uff08\u5982\u9069\u7528\uff09\uff1b\u5176\u4ed6\u60c5\u6cc1\u5247\u70ba\u65b0\u7684\u5ee0\u5546\u5efa\u8b70\u96f6\u552e\u50f9\u3002\u6548\u80fd\u6307\u6a19\u4f86\u81ea MLPerf \u57fa\u6e96\u6e2c\u8a66\u548c LLM \u4efb\u52d9\uff08\u4f8b\u5982 Llama 3.1 \u9810\u8a13\u7df4\uff09\u7684\u63a8\u7406\u6e2c\u8a66\u3002  <\/p>\n<table>\n<thead>\n<tr>\n<td><strong>GPU\u578b\u865f<\/strong><\/td>\n<td><strong>\u67b6\u69cb\/\u8a18\u61b6\u9ad4<\/strong><\/td>\n<td><strong>\u9810\u8a08\u50f9\u683c\uff082025\u5e74\uff09 <\/strong><\/td>\n<td><strong>FP32 TFLOPS\uff08ML \u6548\u80fd\uff09<\/strong><\/td>\n<td><strong>LLM \u63a8\u7406\u901f\u5ea6\uff08Token\/\u79d2\uff0c70B \u6a21\u578b\uff09<\/strong><\/td>\n<td><strong>ROCm\/CUDA \u652f\u6301<\/strong><\/td>\n<td><strong>\u6700\u9069\u5408<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>AMD Radeon VII<\/strong><\/td>\n<td>Vega \/ 16GB HBM2<\/td>\n<td>100 \u81f3 200 \u7f8e\u5143\uff08\u4e8c\u624b\uff09<\/td>\n<td>13.8<\/td>\n<td>~15\u201320\uff08\u6709\u9650\u7684 ROCm\uff09<\/td>\n<td>\u90e8\u5206\uff08ROCm 5.x\uff09<\/td>\n<td>\u9810\u7b97\u5165\u9580\u7d1a\u57f9\u8a13<\/td>\n<\/tr>\n<tr>\n<td><strong>AMD Instinct MI50<\/strong><\/td>\n<td>Vega \/ 16GB HBM2<\/td>\n<td>150\u2013250 \u7f8e\u5143\uff08\u4e8c\u624b\/\u65b0\u54c1\uff09<\/td>\n<td>13.3<\/td>\n<td>~18\u201325<\/td>\n<td>\u90e8\u5206\uff08ROCm 5.x\uff09<\/td>\n<td>\u5c0f\u898f\u6a21\u8cc7\u6599\u4e2d\u5fc3\u63a8\u7406<\/td>\n<\/tr>\n<tr>\n<td><strong>AMD RX 7900 XTX<\/strong><\/td>\n<td>RDNA 3 \/ 24GB GDDR6<\/td>\n<td>$999 (new)<\/td>\n<td>61<\/td>\n<td>45\u201360<\/td>\n<td>Full (ROCm 6.1)<\/td>\n<td>\u5ba2\u6236\u5927\u8a9e\u8a00\u6a21\u578b\u512a\u5316<\/td>\n<\/tr>\n<tr>\n<td><strong>AMD MI300X<\/strong><\/td>\n<td>CDNA 3 \/ 192GB HBM3<\/td>\n<td>15,000\u201320,000 \u7f8e\u5143\uff08\u65b0\uff09<\/td>\n<td>163<\/td>\n<td>150\u2013200+<\/td>\n<td>Full (ROCm 6.1)<\/td>\n<td>\u4f01\u696d\u898f\u6a21\u8a13\u7df4<\/td>\n<\/tr>\n<tr>\n<td><strong>Nvidia RTX 5090<\/strong><\/td>\n<td>Blackwell \/ 32GB GDDR7<\/td>\n<td>1,999\u20133,000 \u7f8e\u5143\u4ee5\u4e0a\uff08\u65b0\u54c1\uff09<\/td>\n<td>82.6<\/td>\n<td>80\u2013110<\/td>\n<td>\u5168\u90e8 (CUDA 12.x)<\/td>\n<td>\u7d42\u6975\u6d88\u8cbb\u8005\u4eba\u5de5\u667a\u6167\/\u904a\u6232<\/td>\n<\/tr>\n<tr>\n<td><strong>Nvidia RTX 4090<\/strong><\/td>\n<td>Ada Lovelace \/ 24GB GDDR6X<\/td>\n<td>1,600 \u7f8e\u5143\uff08\u65b0\u54c1\uff09<\/td>\n<td>83<\/td>\n<td>50\u201370<\/td>\n<td>\u5168\u90e8 (CUDA 12.x)<\/td>\n<td>\u9ad8\u968e\u6d88\u8cbb\u8005\u6a5f\u5668\u5b78\u7fd2<\/td>\n<\/tr>\n<tr>\n<td><strong>Nvidia A100<\/strong><\/td>\n<td>Ampere \/ 40GB HBM2<\/td>\n<td>8,000\u201315,000 \u7f8e\u5143\uff08\u4e8c\u624b\uff09<\/td>\n<td>19.5<\/td>\n<td>30\u201340<\/td>\n<td>\u5168\u90e8 (CUDA 12.x)<\/td>\n<td>\u5c08\u696d\u57f9\u8a13<\/td>\n<\/tr>\n<tr>\n<td><strong>Nvidia H100<\/strong><\/td>\n<td>Hopper \/ 80GB HBM3<\/td>\n<td>25,000 \u7f8e\u5143\u4ee5\u4e0a\uff08\u65b0\u54c1\uff09$25,000+ (new)<\/td>\n<td>67<\/td>\n<td>100\u2013150<\/td>\n<td>\u5168\u90e8 (CUDA 12.x)<\/td>\n<td>\u8cc7\u6599\u4e2d\u5fc3\u5927\u8a9e\u8a00\u6a21\u578b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>*\u8a3b\uff1a\u50f9\u683c\u4f86\u81ea eBay\/\u7d93\u92b7\u5546\u7684\u5e73\u5747\u50f9\u683c\uff1b\u6027\u80fd\u56e0\u6846\u67b6\u800c\u7570\uff08\u4f8b\u5982\uff0cAMD \u5728\u63a8\u7406\u6027\u80fd\u65b9\u9762\u6bcf\u4ee4\u724c\u6210\u672c\u7565\u52dd\u4e00\u7c4c\uff09\u3002 RTX 5090 \u7684\u984d\u5916 VRAM \u548c Tensor Cores \u4f7f LLM \u901f\u5ea6\u6bd4 4090 \u63d0\u5347\u4e86\u7d04 40%\uff0c\u4f46\u5efa\u8b70\u96f6\u552e\u50f9\u537b\u9ad8\u51fa 25%\u3002 AMD \u7684\u65b0\u986f\u793a\u5361\u901a\u5e38\u80fd\u9054\u5230 Nvidia 70% \u5230 80% \u7684\u901f\u5ea6\uff0c\u800c\u50f9\u683c\u50c5\u70ba\u5f8c\u8005\u7684 50% \u5230 60%\u3002  <\/p>\n<p><strong>\u6a5f\u5668\u5b78\u7fd2\/\u5927\u8a9e\u8a00\u6a21\u578b (ML\/LLM) \u7684 AMD \u8207 Nvidia \u7684\u512a\u7f3a\u9ede<\/strong><\/p>\n<p><strong>AMD \u512a\u9ede\uff1a<\/strong><\/p>\n<ul>\n<li>\u6210\u672c\u6548\u76ca\uff1a\u985e\u4f3c VRAM\/\u898f\u683c\u7684\u50f9\u683c\u50c5\u70ba\u5176\u4e00\u534a\u5230\u4e09\u5206\u4e4b\u4e00 &#8211; \u4f8b\u5982\uff0cRX 7900 XTX \u8207 RTX 5090 \u76f8\u6bd4\u53ef\u7bc0\u7701\u7d04 1,000 \u7f8e\u5143\uff0c\u4e14\u63a8\u7406\u901f\u5ea6\u4e0d\u6703\u6709\u592a\u5927\u640d\u5931\u3002<\/li>\n<li>\u958b\u653e\u751f\u614b\u7cfb\uff1aROCm \u514d\u8cbb\u4e14\u4e0d\u65b7\u6539\u9032\uff0c\u539f\u751f\u652f\u63f4 Ollama\uff0c\u6e1b\u5c11\u4f9b\u61c9\u5546\u9396\u5b9a\u3002\u975e\u5e38\u9069\u5408\u63a8\u7406\u5bc6\u96c6\u578b LLM \u4efb\u52d9\uff0cAMD \u8072\u7a31\u5176 TCO \u6700\u9ad8\u53ef\u964d\u4f4e 2 \u500d\u3002 <\/li>\n<li>\u9ad8 VRAM \u9078\u9805\uff1aMI300X \u7684 192GB \u53ef\u52dd\u4efb\u5927\u591a\u6578 Nvidia \u5361\uff0c\u7121\u9700\u5206\u7247\u5373\u53ef\u8f09\u5165\u5927\u91cf\u6a21\u578b\u3002<\/li>\n<li>\u529f\u7387\u6548\u7387\uff1a\u8f03\u65b0\u7684 RDNA\/CDNA \u67b6\u69cb\u6d88\u8017\u7684\u529f\u7387\u8f03\u5c11\uff08\u4f8b\u5982\uff0cRX 7900 XTX \u70ba 355W\uff0c\u800c RTX 5090 \u70ba 575W\uff09\u3002<\/li>\n<\/ul>\n<p><strong>AMD \u7f3a\u9ede\uff1a<\/strong><\/p>\n<ul>\n<li>\u8edf\u9ad4\u6210\u719f\u5ea6\uff1aCUDA \u9577\u9054\u5341\u5e74\u7684\u9818\u5148\u512a\u52e2\u610f\u5473\u8457\u66f4\u5ee3\u6cdb\u7684\u5eab\u652f\u63f4\uff1bROCm \u5728 Windows \u6216 Radeon VII \u7b49\u820a\u5361\u4e0a\u53ef\u80fd\u6703\u6bd4\u8f03\u6311\u5254\u3002<\/li>\n<li>\u8a13\u7df4\u843d\u5f8c\uff1aNvidia \u5728\u5927\u898f\u6a21\u8a13\u7df4\u65b9\u9762\u8655\u65bc\u9818\u5148\u5730\u4f4d\uff08\u4f8b\u5982\uff0cRTX 5090 \u7684 Blackwell Tensor Cores \u5728 MLPerf \u65b9\u9762\u6bd4\u524d\u5e7e\u4ee3\u7522\u54c1\u9ad8\u51fa 1.5-2 \u500d\uff09\uff0c\u4e0d\u904e AMD \u5728\u63a8\u7406\u65b9\u9762\u7e2e\u5c0f\u4e86\u5dee\u8ddd\u3002<\/li>\n<li>\u751f\u614b\u7cfb\u5dee\u8ddd\uff1a\u9810\u512a\u5316\u6a21\u578b\u8f03\u5c11\uff1bTensorFlow\/ROCm \u7684\u8a2d\u5b9a\u6642\u9593\u9810\u8a08\u6703\u66f4\u9577\u3002<\/li>\n<\/ul>\n<p><strong>Nvidia \u512a\u9ede\uff1a<\/strong><\/p>\n<ul>\n<li>\u6548\u80fd\u4e4b\u738b\uff1a\u539f\u59cb\u901f\u5ea6\u66f4\u52dd\u4e00\u7c4c\uff0c\u4e26\u5177\u5099 RTX 5090 \u4e0a\u7684\u7b2c\u4e94\u4ee3 Tensor Cores \u7b49\u529f\u80fd\uff0c\u53ef\u7528\u65bc\u6df7\u5408\u7cbe\u6e96\u5ea6\u8a13\u7df4\u548c DLSS 4 AI \u5347\u7d1a\u3002<\/li>\n<li>\u7121\u6240\u4e0d\u5728\u7684\u652f\u63f4\uff1a\u5f9e Ollama \u5230 Stable Diffusion\uff0c\u6bcf\u500b ML \u5de5\u5177\u90fd\u53ef\u4ee5\u8207 CUDA\u300c\u914d\u5408\u4f7f\u7528\u300d\u3002<\/li>\n<\/ul>\n<p><strong>Nvidia \u7684\u7f3a\u9ede\uff1a<\/strong><\/p>\n<ul>\n<li>\u6ea2\u50f9\uff1a\u9ad8\u6602\u7684\u6210\u672c\u9650\u5236\u4e86\u53ef\u53ca\u6027\u2014\u2014RTX 5090 \u7684\u6a19\u50f9\u70ba 1,999 \u7f8e\u5143\u4ee5\u4e0a\uff08\u901a\u5e38\u6703\u6f32\u5230 3,000-4,000 \u7f8e\u5143\uff09\uff0c\u751a\u81f3\u6bd4 4090 \u9084\u8981\u9ad8\uff0c\u5f9e\u800c\u52a0\u5287\u4e86\u77ed\u7f3a\u3002<\/li>\n<li>\u4f9b\u61c9\u77ed\u7f3a\uff1a\u4f86\u81ea AI \u8d85\u5927\u898f\u6a21\u4f01\u696d\u7684\u6301\u7e8c\u9700\u6c42\u5c0e\u81f4\u50f9\u683c\u5c45\u9ad8\u4e0d\u4e0b\uff0cRTX 5090 \u5eab\u5b58\u5728\u63a8\u51fa\u5f8c\u5e7e\u5206\u9418\u5167\u5c31\u6d88\u5931\u6b86\u76e1\u3002<\/li>\n<\/ul>\n<p>\u7e3d\u9ad4\u800c\u8a00\uff0c\u5c0d\u65bc\u6ce8\u91cd\u63a8\u7406\u7684\u6210\u672c\u654f\u611f\u578b\u7528\u6236\uff08\u4f8b\u5982\uff0c\u5728\u672c\u5730\u904b\u884c Ollama\uff09\uff0cAMD \u66f4\u52dd\u4e00\u7c4c\uff0c\u800c Nvidia \u5247\u9069\u5408\u751f\u7522\u8a13\u7df4\u2014\u2014\u5118\u7ba1 5090 \u7684\u529f\u8017\u548c\u50f9\u683c\u5c0d\u8a31\u591a\u4eba\u4f86\u8aaa\u6709\u4e9b\u904e\u5ea6\u3002<\/p>\n<p><strong>\u9664\u4e86 AMD\uff0c\u9084\u6709\u5176\u4ed6 Nvidia \u7684\u66ff\u4ee3\u54c1<\/strong><\/p>\n<p>\u5982\u679c AMD \u4e0d\u5408\u9069\uff0c\u8acb\u8003\u616e\u4ee5\u4e0b 2025 \u5e74\u9078\u9805\uff1a<\/p>\n<ul>\n<li>Intel Arc GPU\uff08\u4f8b\u5982 B570\uff09\uff1a\u50f9\u683c\u5be6\u60e0\uff08\u7d04 220 \u7f8e\u5143\uff09\uff0c\u914d\u5099 oneAPI for ML\uff0c\u4f46 ROCm \u985e\u5225\u652f\u63f4\u6709\u9650\u4e14\u6548\u80fd\u8f03\u4f4e\u3002\u6700\u9069\u5408\u5165\u9580\u7d1a TensorFlow \u5be6\u9a57\u3002 <\/li>\n<li>\u96f2\u7aef\u79df\u8cc3\uff1aRunPod\u3001Lambda Labs \u6216 CoreWeave \u7b49\u4f9b\u61c9\u5546\u63d0\u4f9b A100\/H100 \u5b58\u53d6\u670d\u52d9\uff0c\u50f9\u683c\u70ba\u6bcf\u5c0f\u6642 0.50 \u81f3 2 \u7f8e\u5143\uff0c\u975e\u5e38\u9069\u5408\u7a81\u767c\u6027\u5de5\u4f5c\u8ca0\u8f09\uff0c\u7121\u9700\u9810\u4ed8\u8cbb\u7528\u3002 Google Cloud TPU \u4ee5\u6975\u5177\u7af6\u722d\u529b\u7684\u50f9\u683c\u63d0\u4f9b\u5c08\u696d\u7684\u6a5f\u5668\u5b78\u7fd2\u52a0\u901f\u670d\u52d9\u3002 <\/li>\n<li>Apple Silicon\uff08M4\/M5\uff09\uff1a\u5c0d\u65bc Mac \u7528\u6236\u4f86\u8aaa\uff0c\u7d71\u4e00\u8a18\u61b6\u9ad4\uff08\u6700\u9ad8 128GB\uff09\u900f\u904e MLX \u6846\u67b6\u5728\u88dd\u7f6e\u4e0a\u7684 LLM \u4e2d\u8868\u73fe\u51fa\u8272\uff0c\u5118\u7ba1\u5b83\u4e0d\u662f\u7368\u7acb\u7684\u300c\u5361\u300d\u3002<\/li>\n<li>\u6df7\u5408\u8a2d\u5b9a\uff1a\u5c07 AMD CPU\uff08\u4f8b\u5982 Ryzen Threadripper\uff09\u8207 GPU \u914d\u5c0d\uff0c\u4ee5\u5be6\u73fe\u5e73\u8861\u7684\u5de5\u4f5c\u7ad9\u3002<\/li>\n<\/ul>\n<p><strong>\u7d50\u8ad6\uff1a\u8f49\u5411\u66f4\u660e\u667a\u7684\u5132\u84c4<\/strong><\/p>\n<p>\u50cf\uff08\u5347\u7d1a\u7248\uff09RX 7900 XTX \u6216 MI300X \u9019\u6a23\u7684 AMD GPU\uff0c\u80fd\u5920\u4ee5\u6975\u4f4e\u7684\u6210\u672c\u63d0\u4f9b Nvidia 80% \u7684\u6a5f\u5668\u5b78\u7fd2\u80fd\u529b\u2014\u2014\u5373\u4f7f\u8207\u5f37\u5927\u7684 RTX 5090 \u76f8\u6bd4\u4e5f\u662f\u5982\u6b64\u2014\u2014\u4e26\u4e14\u5728 Linux \u4e0a\u8207 Ollama \u548c TensorFlow \u517c\u5bb9\u3002\u96d6\u7136\u50cf Radeon VII \u548c MI50 \u9019\u6a23\u7684\u8001\u724c\u986f\u793a\u5361\u63d0\u4f9b\u4e86\u7d93\u6fdf\u5be6\u60e0\u7684\u5165\u9580\u7d1a\u9078\u64c7\uff0c\u4f46\u70ba\u4e86\u9762\u5411\u672a\u4f86\uff0c\u512a\u5148\u8003\u616e\u652f\u63f4 ROCm \u7684\u6a21\u578b\u3002\u5982\u679c\u9810\u7b97\u81f3\u95dc\u91cd\u8981\uff0cAMD \u662f\u60a8\u9081\u5411\u5927\u773e\u5316 AI \u7684\u9580\u7968\u2014\u2014\u9019\u8b49\u660e\u60a8\u7121\u9700\u50cf Nvidia \u90a3\u6a23\u652f\u4ed8\u9ad8\u6602\u7684\u50f9\u683c\u4f86\u8a13\u7df4\u672a\u4f86\u7684\u6a21\u578b\u3002\u6e96\u5099\u597d\u5efa\u9020\u4e86\u55ce\uff1f\u5f9e ROCm \u6587\u4ef6\u548c Ollama \u6e2c\u8a66\u904b\u884c\u958b\u59cb\u3002\u60a8\u7684\u9322\u5305\uff08\u548c\u96fb\u8cbb\uff09\u6703\u611f\u8b1d\u60a8\u7684\u3002     <\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#22312;&#24555;&#36895;&#30332;&#23637;&#30340;&#27231;&#038;#22 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":349,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[78],"tags":[70,71,72,73,74,75,76,77],"class_list":["post-348","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-70","tag-71","tag-amd","tag-instinct-mi-300x","tag-mi50","tag-nvidia","tag-radeon-vii","tag-rx7900xtx"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u7d93\u6fdf\u5be6\u60e0\u7684\u529f\u7387\uff1a\u70ba\u4ec0\u9ebc AMD GPU \u662f\u6a5f\u5668\u5b78\u7fd2\u548c\u5927\u578b\u8a9e\u8a00\u6a21\u578b\u7684 Nvidia \u7684\u660e\u667a\u66ff\u4ee3\u54c1 -<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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