\n| 235B MoE<\/td>\n | \n \u2248565GB<\/p>\n<\/td>\n | \n \u22481.5-2TB<\/p>\n<\/td>\n | \n \u2248600-800GB<\/p>\n<\/td>\n | \n 16\u00d7H100 80GB \/ 8\u00d7H200<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 2.3 KV Cache \u7cbe\u786e\u4f30\u7b97<\/h4>\nKV_Cache(GB) \u2248 2 \u00d7 \u5c42\u6570 \u00d7 \u9690\u85cf\u7ef4\u5ea6 \u00d7 \u7cbe\u5ea6\u5b57\u8282\u6570 \u00d7 \u4e0a\u4e0b\u6587\u957f\u5ea6 \/ (1024\u00b3)<\/p>\n \u6216\u7b80\u5316：KV_Cache \u2248 \u6a21\u578b\u53c2\u6570 \u00d7 0.25 \u00d7 (\u4e0a\u4e0b\u6587\u957f\u5ea6 \/ 2048)<\/p>\n \n\n\u6a21\u578b<\/p>\n \u5c42\u6570<\/p>\n \u9690\u85cf\u7ef4\u5ea6<\/p>\n 4K \u4e0a\u4e0b\u6587 KV Cache<\/p>\n 16K \u4e0a\u4e0b\u6587 KV Cache<\/p>\n 32K \u4e0a\u4e0b\u6587 KV Cache<\/p>\n<\/tr>\n \n\n| Qwen3-8B<\/td>\n | \n 32<\/p>\n<\/td>\n | \n 4096<\/p>\n<\/td>\n | \n \u22480.5GB<\/p>\n<\/td>\n | \n \u22481.8GB<\/p>\n<\/td>\n | \n \u22483.5GB<\/p>\n<\/td>\n<\/tr>\n | \n| Qwen3-32B<\/td>\n | \n 64<\/p>\n<\/td>\n | \n 5120<\/p>\n<\/td>\n | \n \u22481.5GB<\/p>\n<\/td>\n | \n \u22486.0GB<\/p>\n<\/td>\n | \n \u224812GB<\/p>\n<\/td>\n<\/tr>\n | \n| Llama 3.3 70B<\/td>\n | \n 80<\/p>\n<\/td>\n | \n 8192<\/p>\n<\/td>\n | \n \u22483.8GB<\/p>\n<\/td>\n | \n \u224815GB<\/p>\n<\/td>\n | \n \u224830GB<\/p>\n<\/td>\n<\/tr>\n | \n| DeepSeek-V3-lite<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n \u22481.2GB<\/p>\n<\/td>\n | \n \u22485.0GB<\/p>\n<\/td>\n | \n \u224810GB<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u26a0\ufe0f \u957f\u4e0a\u4e0b\u6587\u573a\u666f\u4e0b，KV Cache \u53ef\u80fd\u6bd4\u6a21\u578b\u6743\u91cd\u672c\u8eab\u5360\u7528\u66f4\u5927\u7684\u663e\u5b58\u3002<\/p>\n
\n\u7b2c\u4e09\u7ae0 \u6d88\u8d39\u7ea7 GPU \u5168\u666f\u5bf9\u6bd4（NVIDIA RTX \u7cfb\u5217）<\/h3>\n3.1 \u6838\u5fc3\u53c2\u6570\u4e00\u89c8（2026 \u5e74 6 \u6708\u5e02\u573a）<\/h4>\n\n\n\u578b\u53f7<\/p>\n \u663e\u5b58<\/p>\n \u5e26\u5bbd<\/p>\n \u663e\u5b58\u7c7b\u578b<\/p>\n FP16 \u7b97\u529b<\/p>\n \u529f\u8017<\/p>\n \u65b0\u5361\u53c2\u8003\u4ef7<\/p>\n \u4e8c\u624b\u53c2\u8003\u4ef7<\/p>\n \u8bc4\u7ea7<\/p>\n<\/tr>\n \n\n| RTX 3060 12GB<\/td>\n | \n 12GB<\/p>\n<\/td>\n | \n 360 GB\/s<\/p>\n<\/td>\n | \n GDDR6<\/p>\n<\/td>\n | \n 12.7 TFLOPS<\/p>\n<\/td>\n | \n 170W<\/p>\n<\/td>\n | \n \u00a51,900<\/p>\n<\/td>\n | \n \u00a5900-1,200<\/p>\n<\/td>\n | \n \u2605\u2605\u2605 \u5165\u95e8\u9996\u9009<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 4060 Ti 16GB<\/td>\n | \n 16GB<\/p>\n<\/td>\n | \n 288 GB\/s<\/p>\n<\/td>\n | \n GDDR6<\/p>\n<\/td>\n | \n 22.1 TFLOPS<\/p>\n<\/td>\n | \n 165W<\/p>\n<\/td>\n | \n \u00a53,200<\/p>\n<\/td>\n | \n \u00a52,500<\/p>\n<\/td>\n | \n \u2605\u2605\u2605\u2605 \u5927\u663e\u5b58\u5165\u95e8<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 4070 Super 12GB<\/td>\n | \n 12GB<\/p>\n<\/td>\n | \n 504 GB\/s<\/p>\n<\/td>\n | \n GDDR6X<\/p>\n<\/td>\n | \n 35.5 TFLOPS<\/p>\n<\/td>\n | \n 220W<\/p>\n<\/td>\n | \n \u00a54,800<\/p>\n<\/td>\n | \n \u00a53,800<\/p>\n<\/td>\n | \n \u2605\u2605 \u663e\u5b58\u592a\u5c0f<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 4070 Ti Super<\/td>\n | \n 16GB<\/p>\n<\/td>\n | \n 672 GB\/s<\/p>\n<\/td>\n | \n GDDR6X<\/p>\n<\/td>\n | \n 44.1 TFLOPS<\/p>\n<\/td>\n | \n 285W<\/p>\n<\/td>\n | \n \u00a56,500<\/p>\n<\/td>\n | \n \u00a55,000<\/p>\n<\/td>\n | \n \u2605\u2605\u2605\u2605 \u4e2d\u9ad8\u7aef\u751c\u70b9<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 5060 Ti 16GB<\/td>\n | \n 16GB<\/p>\n<\/td>\n | \n 448 GB\/s<\/p>\n<\/td>\n | \n GDDR7<\/p>\n<\/td>\n | \n 28.4 TFLOPS<\/p>\n<\/td>\n | \n 180W<\/p>\n<\/td>\n | \n \u00a54,599<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n \u2605\u2605\u2605\u2605 \u65b0\u4e00\u4ee3\u5165\u95e8<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 5070 Ti 16GB<\/td>\n | \n 16GB<\/p>\n<\/td>\n | \n 640 GB\/s<\/p>\n<\/td>\n | \n GDDR7<\/p>\n<\/td>\n | \n 47.3 TFLOPS<\/p>\n<\/td>\n | \n 250W<\/p>\n<\/td>\n | \n \u00a57,500<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n \u2605\u2605\u2605\u2605 \u65b0\u4e00\u4ee3\u4e3b\u529b<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 2080 Ti 22GB（\u6539）<\/td>\n | \n 22GB<\/p>\n<\/td>\n | \n 616 GB\/s<\/p>\n<\/td>\n | \n GDDR6<\/p>\n<\/td>\n | \n 26.9 TFLOPS<\/p>\n<\/td>\n | \n 250W<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n \u00a51,800-2,500<\/p>\n<\/td>\n | \n \u2605\u2605\u2605 \u9b54\u6539\u6709\u98ce\u9669<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 3090 24GB<\/td>\n | \n 24GB<\/p>\n<\/td>\n | \n 936 GB\/s<\/p>\n<\/td>\n | \n GDDR6X<\/p>\n<\/td>\n | \n 35.6 TFLOPS<\/p>\n<\/td>\n | \n 350W<\/p>\n<\/td>\n | \n \u5df2\u505c\u4ea7<\/p>\n<\/td>\n | \n \u00a55,500-7,000<\/p>\n<\/td>\n | \n \u2605\u2605\u2605\u2605\u2605 \u6027\u4ef7\u6bd4\u4e4b\u738b<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 4090 24GB<\/td>\n | \n 24GB<\/p>\n<\/td>\n | \n 1,008 GB\/s<\/p>\n<\/td>\n | \n GDDR6X<\/p>\n<\/td>\n | \n 82.6 TFLOPS<\/p>\n<\/td>\n | \n 450W<\/p>\n<\/td>\n | \n \u00a512,000-14,000<\/p>\n<\/td>\n | \n \u00a57,000-8,500<\/p>\n<\/td>\n | \n \u2605\u2605\u2605\u2605\u2605 \u5168\u80fd\u65d7\u8230<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 5090 32GB<\/td>\n | \n 32GB<\/p>\n<\/td>\n | \n 1,792 GB\/s<\/p>\n<\/td>\n | \n GDDR7<\/p>\n<\/td>\n | \n ~104 TFLOPS<\/p>\n<\/td>\n | \n 550W<\/p>\n<\/td>\n | \n \u00a514,000-16,000<\/p>\n<\/td>\n | \n \u6781\u5c11<\/p>\n<\/td>\n | \n \u2605\u2605\u2605\u2605\u2605 \u6d88\u8d39\u7ea7\u5929\u82b1\u677f<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 5090D V2 24GB<\/td>\n | \n 24GB<\/p>\n<\/td>\n | \n 1,600 GB\/s<\/p>\n<\/td>\n | \n GDDR7<\/p>\n<\/td>\n | \n ~85 TFLOPS<\/p>\n<\/td>\n | \n 500W<\/p>\n<\/td>\n | \n \u00a519,000<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n \u2605\u2605\u2605\u2605 \u56fd\u5185\u7279\u4f9b<\/p>\n<\/td>\n<\/tr>\n | \n| RTX PRO 6000 96GB<\/td>\n | \n 96GB<\/p>\n<\/td>\n | \n 960 GB\/s<\/p>\n<\/td>\n | \n GDDR7<\/p>\n<\/td>\n | \n ~91 TFLOPS<\/p>\n<\/td>\n | \n 300W<\/p>\n<\/td>\n | \n ~\u00a5100,000<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n \u2605\u2605\u2605\u2605 \u5de5\u4f5c\u7ad9\u7ea7<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 3.2 \u5404\u663e\u5361\u9002\u914d\u6a21\u578b\u901f\u67e5（INT4 \u91cf\u5316）<\/h4>\n\n\n\u663e\u5361<\/p>\n \u663e\u5b58<\/p>\n 7B\/8B Q4<\/p>\n 14B Q4<\/p>\n 27B\/32B Q4<\/p>\n 70B\/72B Q3<\/p>\n 70B\/72B Q4<\/p>\n \u63a8\u8350\u7528\u9014<\/p>\n<\/tr>\n \n\n| RTX 3060 12GB<\/td>\n | \n 12GB<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u2705 \u53ef\u7528<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u5b66\u4e60\u3001\u65e5\u5e38\u52a9\u624b<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 4060 Ti 16GB<\/td>\n | \n 16GB<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u26a0\ufe0f \u52c9\u5f3a<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n 9B \u6a21\u578b\u751c\u70b9<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 4070 Ti S<\/td>\n | \n 16GB<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u26a0\ufe0f \u52c9\u5f3a<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u7f16\u7a0b\u52a9\u624b<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 5060 Ti 16GB<\/td>\n | \n 16GB<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u26a0\ufe0f \u52c9\u5f3a<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u65b0\u4e00\u4ee3\u5165\u95e8<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 5070 Ti 16GB<\/td>\n | \n 16GB<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u26a0\ufe0f \u52c9\u5f3a<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u9ad8\u6027\u80fd\u5165\u95e8<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 2080Ti 22G<\/td>\n | \n 22GB<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u2705 \u53ef\u7528<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u9b54\u6539\u6027\u4ef7\u6bd4<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 3090 24GB<\/td>\n | \n 24GB<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u26a0\ufe0f \u6781\u52c9\u5f3a<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \u63a8\u8350\u6d88\u8d39\u7ea7\u4e4b\u9009<\/td>\n<\/tr>\n | \n| RTX 4090 24GB<\/td>\n | \n 24GB<\/p>\n<\/td>\n | \n \u2705 \u6781\u5feb<\/p>\n<\/td>\n | \n \u2705 \u6781\u5feb<\/p>\n<\/td>\n | \n \u2705 \u6d41\u7545<\/p>\n<\/td>\n | \n \u26a0\ufe0f \u52c9\u5f3a<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u6700\u5f3a\u6d88\u8d39\u5355\u5361<\/p>\n<\/td>\n<\/tr>\n | \n| RTX 5090 32GB<\/td>\n | \n 32GB<\/p>\n<\/td>\n | \n \u2705 \u6781\u5feb<\/p>\n<\/td>\n | \n \u2705 \u6781\u5feb<\/p>\n<\/td>\n | \n \u2705 \u5168\u7cbe\u5ea6<\/p>\n<\/td>\n | \n \u26a0\ufe0f Q3<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u6d88\u8d39\u7ea7\u65b0\u738b<\/p>\n<\/td>\n<\/tr>\n | \n| \u53cc RTX 3090<\/td>\n | \n 48GB<\/p>\n<\/td>\n | \n \u2705 \u6d6a\u8d39<\/p>\n<\/td>\n | \n \u2705 \u6d6a\u8d39<\/p>\n<\/td>\n | \n \u2705 \u5168\u7cbe\u5ea6<\/p>\n<\/td>\n | \n \u2705 Q3<\/p>\n<\/td>\n | \n \u2705 Q4<\/p>\n<\/td>\n | \n 70B \u6700\u4f4e\u95e8\u69db<\/p>\n<\/td>\n<\/tr>\n | \n| RTX PRO 6000<\/td>\n | \n 96GB<\/p>\n<\/td>\n | \n \u2705 \u6d6a\u8d39<\/p>\n<\/td>\n | \n \u2705 \u6d6a\u8d39<\/p>\n<\/td>\n | \n \u2705 \u5168\u7cbe\u5ea6<\/p>\n<\/td>\n | \n \u2705 Q4<\/p>\n<\/td>\n | \n \u2705 Q4\/Q6<\/p>\n<\/td>\n | \n \u5355\u5361 72B \u81ea\u7531<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u56fe\u4f8b：\u2705 \u6d41\u7545（>15 tok\/s）｜\u2705 \u53ef\u7528（8-15 tok\/s）｜\u26a0\ufe0f \u52c9\u5f3a（<8 tok\/s \/ \u4e0a\u4e0b\u6587\u53d7\u9650）｜\u274c \u65e0\u6cd5\u52a0\u8f7d<\/p>\n 3.3 \u6d88\u8d39\u7ea7\u663e\u5361\u63a8\u8350\u8def\u5f84<\/h4>\n\u9884\u7b97 \u00a54,000-6,000 \u00a0\u2192 RTX 3060 12GB（\u4e8c\u624b \u00a51,000）\/ RTX 4060 Ti 16GB（\u65b0 \u00a53,200）
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u8dd1 7B-9B INT4，\u65e5\u5e38\u95ee\u7b54\u3001\u5199\u4f5c\u8db3\u591f<\/p>\n \u9884\u7b97 \u00a510,000-15,000 \u2192 RTX 3090 24GB（\u4e8c\u624b \u00a56,000）\u2b50 \u5f3a\u70c8\u63a8\u8350
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u8dd1 32B INT4，\u80fd\u529b\u63a5\u8fd1 GPT-4，\u7edd\u5927\u591a\u6570\u4eba\u7684\u751c\u70b9<\/p>\n \u9884\u7b97 \u00a520,000-30,000 \u2192 RTX 4090 24GB \/ RTX 5090 32GB
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u8dd1 32B \u5168\u7cbe\u5ea6\u6216 70B INT4，\u6d88\u8d39\u7ea7\u6700\u5f3a<\/p>\n \u9884\u7b97 \u00a530,000-50,000 \u2192 \u53cc RTX 3090 48GB \/ \u53cc RTX 4090
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u8dd1 70B \u91cf\u5316\u7a33\u5b9a，\u4e13\u4e1a\u5f00\u53d1\u9996\u9009<\/p>\n
\n\u7b2c\u56db\u7ae0 \u670d\u52a1\u5668\u7ea7 GPU \u5168\u666f\u5bf9\u6bd4（A100 \/ H100 \/ H200 \/ L40S \u7b49）<\/h3>\n4.1 \u6838\u5fc3\u53c2\u6570\u4e00\u89c8<\/h4>\n\n\n\u578b\u53f7<\/p>\n \u9762\u5411\u5e02\u573a<\/p>\n \u663e\u5b58<\/p>\n \u663e\u5b58\u7c7b\u578b<\/p>\n \u663e\u5b58\u5e26\u5bbd<\/p>\n FP16 \u7b97\u529b<\/p>\n TF32 \u7b97\u529b<\/p>\n \u529f\u8017<\/p>\n \u591a\u5361\u4e92\u8054<\/p>\n \u5b9a\u4f4d<\/p>\n<\/tr>\n \n\n| A100 40GB<\/td>\n | \n \u5168\u7403<\/p>\n<\/td>\n | \n 40GB<\/p>\n<\/td>\n | \n HBM2e<\/p>\n<\/td>\n | \n 2,039 GB\/s<\/p>\n<\/td>\n | \n 312 TFLOPS<\/p>\n<\/td>\n | \n 156 TFLOPS<\/p>\n<\/td>\n | \n 400W<\/p>\n<\/td>\n | \n NVLink 600GB\/s<\/p>\n<\/td>\n | \n \u5165\u95e8 AI \u5361<\/p>\n<\/td>\n<\/tr>\n | \n| A100 80GB<\/td>\n | \n \u5168\u7403<\/p>\n<\/td>\n | \n 80GB<\/p>\n<\/td>\n | \n HBM2e<\/p>\n<\/td>\n | \n 2,039 GB\/s<\/p>\n<\/td>\n | \n 312 TFLOPS<\/p>\n<\/td>\n | \n 156 TFLOPS<\/p>\n<\/td>\n | \n 500W<\/p>\n<\/td>\n | \n NVLink 600GB\/s<\/p>\n<\/td>\n | \n \u4e0a\u4ee3\u6027\u4ef7\u6bd4<\/p>\n<\/td>\n<\/tr>\n | \n| A800 80GB<\/td>\n | \n \u56fd\u5185<\/p>\n<\/td>\n | \n 80GB<\/p>\n<\/td>\n | \n HBM2e<\/p>\n<\/td>\n | \n 2,039 GB\/s<\/p>\n<\/td>\n | \n 312 TFLOPS<\/p>\n<\/td>\n | \n 156 TFLOPS<\/p>\n<\/td>\n | \n 500W<\/p>\n<\/td>\n | \n NVLink 400GB\/s（\u9650）<\/p>\n<\/td>\n | \n \u56fd\u5185\u5408\u89c4\u7248<\/p>\n<\/td>\n<\/tr>\n | \n| H100 PCIe<\/td>\n | \n \u5168\u7403<\/p>\n<\/td>\n | \n 80GB<\/p>\n<\/td>\n | \n HBM3<\/p>\n<\/td>\n | \n 2,000 GB\/s<\/p>\n<\/td>\n | \n 578 TFLOPS<\/p>\n<\/td>\n | \n 289 TFLOPS<\/p>\n<\/td>\n | \n 350W<\/p>\n<\/td>\n | \n PCIe \u4ec5 32GB\/s<\/p>\n<\/td>\n | \u5355\u5361\u63a8\u7406，\u522b\u7ec4\u591a\u5361<\/td>\n<\/tr>\n | \n| H100 SXM<\/td>\n | \n \u5168\u7403<\/p>\n<\/td>\n | \n 80GB<\/p>\n<\/td>\n | \n HBM3<\/p>\n<\/td>\n | \n 3,350 GB\/s<\/p>\n<\/td>\n | \n 990 TFLOPS<\/p>\n<\/td>\n | \n 495 TFLOPS<\/p>\n<\/td>\n | \n 700W<\/p>\n<\/td>\n | \n NVSwitch 900GB\/s<\/p>\n<\/td>\n | \u5f53\u4ee3\u65d7\u8230，\u8bad\u7ec3\u6700\u4f18<\/td>\n<\/tr>\n | \n| H800 SXM<\/td>\n | \n \u56fd\u5185<\/p>\n<\/td>\n | \n 80GB<\/p>\n<\/td>\n | \n HBM3<\/p>\n<\/td>\n | \n 3,350 GB\/s<\/p>\n<\/td>\n | \n 990 TFLOPS<\/p>\n<\/td>\n | \n 495 TFLOPS<\/p>\n<\/td>\n | \n 700W<\/p>\n<\/td>\n | \n NVSwitch 400GB\/s（\u9650）<\/p>\n<\/td>\n | \n \u56fd\u5185\u5408\u89c4\u7248<\/p>\n<\/td>\n<\/tr>\n | \n| H200<\/td>\n | \n \u5168\u7403<\/p>\n<\/td>\n | \n 141GB<\/p>\n<\/td>\n | \n HBM3e<\/p>\n<\/td>\n | \n 4,800 GB\/s<\/p>\n<\/td>\n | \n 990 TFLOPS<\/p>\n<\/td>\n | \n 495 TFLOPS<\/p>\n<\/td>\n | \n 700W<\/p>\n<\/td>\n | \n NVSwitch 900GB\/s<\/p>\n<\/td>\n | \u8d85\u5927\u663e\u5b58\u63a8\u7406<\/td>\n<\/tr>\n | \n| H20<\/td>\n | \n \u56fd\u5185\u7279\u4f9b<\/p>\n<\/td>\n | \n 96GB<\/p>\n<\/td>\n | \n HBM3<\/p>\n<\/td>\n | \n 4,000 GB\/s<\/p>\n<\/td>\n | \n 148 TFLOPS<\/p>\n<\/td>\n | \n 74 TFLOPS<\/p>\n<\/td>\n | \n ~350W<\/p>\n<\/td>\n | \n PCIe<\/p>\n<\/td>\n | \u56fd\u5185\u63a8\u7406\u6027\u4ef7\u6bd4<\/td>\n<\/tr>\n | \n| B200<\/td>\n | \n \u5168\u7403<\/p>\n<\/td>\n | \n 192GB<\/p>\n<\/td>\n | \n HBM3e<\/p>\n<\/td>\n | \n 8,000 GB\/s<\/p>\n<\/td>\n | \n 2,250 TFLOPS<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 1,000W<\/p>\n<\/td>\n | \n NVSwitch 1,800GB\/s<\/p>\n<\/td>\n | \u4e0b\u4e00\u4ee3\u65d7\u8230<\/td>\n<\/tr>\n | \n| L40S<\/td>\n | \n \u5168\u7403<\/p>\n<\/td>\n | \n 48GB<\/p>\n<\/td>\n | \n GDDR6<\/p>\n<\/td>\n | \n 864 GB\/s<\/p>\n<\/td>\n | \n ~91 TFLOPS<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 300W<\/p>\n<\/td>\n | \n PCIe<\/p>\n<\/td>\n | \n \u8f7b\u91cf\u63a8\u7406<\/p>\n<\/td>\n<\/tr>\n | \n| L20<\/td>\n | \n \u56fd\u5185<\/p>\n<\/td>\n | \n 48GB<\/p>\n<\/td>\n | \n GDDR6<\/p>\n<\/td>\n | \n ~900 GB\/s<\/p>\n<\/td>\n | \n ~86 TFLOPS<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 275W<\/p>\n<\/td>\n | \n PCIe<\/p>\n<\/td>\n | \n \u56fd\u5185\u63a8\u7406\u5165\u95e8<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 4.2 \u63a8\u7406\u6027\u80fd\u5b9e\u6d4b\u5bf9\u6bd4（7B FP16 \u6a21\u578b）<\/h4>\n\n\nGPU<\/p>\n \u7406\u8bba\u901f\u5ea6\u4e0a\u9650<\/p>\n \u5b9e\u6d4b\u901f\u5ea6<\/p>\n \u5355\u5361\u53ef\u8dd1\u6700\u5927\u6a21\u578b（INT4）<\/p>\n \u9ad8\u5e76\u53d1\u80fd\u529b<\/p>\n<\/tr>\n \n\n| L40S<\/td>\n | \n ~31 tok\/s<\/p>\n<\/td>\n | \n ~20 tok\/s<\/p>\n<\/td>\n | \n 27B（48GB）<\/p>\n<\/td>\n | \n \u4e00\u822c<\/p>\n<\/td>\n<\/tr>\n | \n| A100 80GB<\/td>\n | \n ~73 tok\/s<\/p>\n<\/td>\n | \n ~47 tok\/s<\/p>\n<\/td>\n | \n 32B \u5168\u7cbe\u5ea6<\/p>\n<\/td>\n | \n \u4f18\u79c0<\/p>\n<\/td>\n<\/tr>\n | \n| H100 SXM<\/td>\n | \n ~120 tok\/s<\/p>\n<\/td>\n | \n ~78 tok\/s<\/p>\n<\/td>\n | \n 32B \u5168\u7cbe\u5ea6<\/p>\n<\/td>\n | \n \u6781\u5f3a<\/p>\n<\/td>\n<\/tr>\n | \n| H200<\/td>\n | \n ~170 tok\/s<\/p>\n<\/td>\n | \n ~110 tok\/s<\/p>\n<\/td>\n | \n 70B Q4 \u5355\u5361<\/p>\n<\/td>\n | \n \u8d85\u5f3a<\/p>\n<\/td>\n<\/tr>\n | \n| H20<\/td>\n | \n ~140 tok\/s<\/p>\n<\/td>\n | \n ~90 tok\/s<\/p>\n<\/td>\n | \n 70B Q3 \u5355\u5361<\/p>\n<\/td>\n | \n \u5f3a（\u63a8\u7406\u4e13\u7528）<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u7ed3\u8bba：H100 SXM \u63a8\u7406\u901f\u5ea6\u662f L40S \u7684\u00a03-4 \u500d，\u5dee\u8ddd\u4e3b\u8981\u6765\u81ea\u663e\u5b58\u5e26\u5bbd\u800c\u975e\u7b97\u529b\u3002H20 \u867d\u7136\u7b97\u529b\u4ec5\u4e3a H100 \u7684 15%，\u4f46\u56e0\u5176 96GB \u5927\u663e\u5b58 + 4TB\/s \u9ad8\u5e26\u5bbd，\u5728\u63a8\u7406\u573a\u666f\u6027\u4ef7\u6bd4\u8f83\u9ad8\u3002<\/p>\n 4.3 \u670d\u52a1\u5668\u7ea7 GPU \u9009\u578b\u51b3\u7b56\u8868<\/h4>\n\n\n\u573a\u666f<\/p>\n \u9996\u9009 GPU<\/p>\n \u6b21\u9009<\/p>\n \u9884\u7b97\u63a7\u5236<\/p>\n<\/tr>\n \n\n| 7B-13B \u63a8\u7406（\u9ad8\u5e76\u53d1）<\/td>\n | \n A100 40GB<\/p>\n<\/td>\n | \n L40S 48GB<\/p>\n<\/td>\n | \n \u00a55-10 \u4e07<\/p>\n<\/td>\n<\/tr>\n | \n| 32B-70B \u63a8\u7406（\u5355\u5361）<\/td>\n | \n H200 141GB<\/p>\n<\/td>\n | \n H20 96GB<\/p>\n<\/td>\n | \n \u00a515-30 \u4e07<\/p>\n<\/td>\n<\/tr>\n | \n| 70B+ \u63a8\u7406（\u591a\u5361）<\/td>\n | \n 4\u00d7A100 80GB<\/p>\n<\/td>\n | \n 2\u00d7H100 SXM<\/p>\n<\/td>\n | \n \u00a530-60 \u4e07<\/p>\n<\/td>\n<\/tr>\n | \n| \u5343\u4ebf\u53c2\u6570\u63a8\u7406<\/td>\n | \n 8\u00d7H200<\/p>\n<\/td>\n | \n 8\u00d7H100 SXM<\/p>\n<\/td>\n | \n \u00a5150-300 \u4e07<\/p>\n<\/td>\n<\/tr>\n | \n| 7B-13B \u5fae\u8c03\u8bad\u7ec3<\/td>\n | \n A100 80GB<\/p>\n<\/td>\n | \n 2\u00d7RTX 4090<\/p>\n<\/td>\n | \n \u00a58-15 \u4e07<\/p>\n<\/td>\n<\/tr>\n | \n| 32B-70B \u5168\u53c2\u8bad\u7ec3<\/td>\n | \n 8\u00d7H100 SXM<\/p>\n<\/td>\n | \n 8\u00d7A100 80GB<\/p>\n<\/td>\n | \n \u00a580-150 \u4e07<\/p>\n<\/td>\n<\/tr>\n | \n| 70B LoRA \u5fae\u8c03<\/td>\n | \n 4\u00d7A100 80GB<\/p>\n<\/td>\n | \n 2\u00d7H100 SXM<\/p>\n<\/td>\n | \n \u00a530-50 \u4e07<\/p>\n<\/td>\n<\/tr>\n | \n| \u9884\u7b97\u654f\u611f\u63a8\u7406<\/td>\n | \n H20 96GB<\/p>\n<\/td>\n | \n RTX 6000 Ada<\/p>\n<\/td>\n | \n \u00a510-15 \u4e07\/\u5361<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 4.4 H100 SXM vs H100 PCIe \u2014\u2014 \u591a\u5361\u573a\u666f\u5929\u58e4\u4e4b\u522b<\/h4>\n\n\n\u7ef4\u5ea6<\/p>\n H100 SXM<\/p>\n H100 PCIe<\/p>\n<\/tr>\n \n\n| \n \u663e\u5b58\u5e26\u5bbd<\/p>\n<\/td>\n | 3.35 TB\/s<\/td>\n | \n 2.0 TB\/s<\/p>\n<\/td>\n<\/tr>\n | \n| \n FP16 \u7b97\u529b<\/p>\n<\/td>\n | 990 TFLOPS<\/td>\n | \n 578 TFLOPS<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u591a\u5361\u4e92\u8054<\/p>\n<\/td>\n | \n NVSwitch 900 GB\/s<\/p>\n<\/td>\n | \n PCIe 32 GB\/s（\u6162 28 \u500d！）<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u529f\u8017<\/p>\n<\/td>\n | \n 700W<\/p>\n<\/td>\n | \n 350W<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u9002\u7528\u573a\u666f<\/p>\n<\/td>\n | \n \u591a\u5361\u8bad\u7ec3 \/ \u63a8\u7406<\/p>\n<\/td>\n | \n \u5355\u5361\u63a8\u7406<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u91c7\u8d2d\u68c0\u67e5<\/p>\n<\/td>\n | \n \u987b\u786e\u8ba4 SXM + NVSwitch<\/p>\n<\/td>\n | \n \u4e0d\u9002\u5408\u591a\u5361<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u26a0\ufe0f\u00a0\u8e29\u5751\u5b9e\u5f55：\u6709\u56e2\u961f\u4e70\u4e86 2 \u5f20 H100 PCIe \u505a\u591a\u5361\u5e76\u884c，\u7ed3\u679c\u5361\u95f4\u901a\u4fe1\u53ea\u6709 32GB\/s（SXM \u7248\u662f 900GB\/s），8 \u5361\u52a0\u901f\u6bd4\u4ec5 3.5x \u800c\u975e\u9884\u671f\u7684 6.5x\u3002<\/p>\n
\n\u7b2c\u4e94\u7ae0 \u82f9\u679c Apple Silicon \u7edf\u4e00\u5185\u5b58\u65b9\u6848<\/h3>\n5.1 \u6838\u5fc3\u903b\u8f91<\/h4>\nMac \u8d70\u7684\u662f\u300c\u7edf\u4e00\u5185\u5b58\u300d\u8def\u7ebf：CPU \u548c GPU \u5171\u4eab\u540c\u4e00\u5757\u5185\u5b58，\u6ca1\u6709\u72ec\u7acb\u663e\u5b58\u3002\u8fd9\u610f\u5473\u7740 Mac \u53ef\u4ee5\u8dd1 NVIDIA \u65b9\u6848\u5b8c\u5168\u52a0\u8f7d\u4e0d\u4e86\u7684\u5927\u6a21\u578b，\u4f46\u63a8\u7406\u901f\u5ea6\u6162\u4e8e\u540c\u4ef7\u4f4d\u7684 NVIDIA \u65b9\u6848\u3002<\/p>\n \u9009 Mac \u8fd8\u662f NVIDIA？\u4e00\u53e5\u8bdd：\u8981\u901f\u5ea6\u9009 NVIDIA，\u8981\u5b89\u9759\u7701\u5fc3\u9009 Mac，\u8981\u8dd1\u8d85\u5927\u6a21\u578b（100B+）\u9009 Mac \u5927\u5185\u5b58\u7248\u3002<\/p>\n 5.2 \u82f9\u679c\u82af\u7247\u6838\u5fc3 AI \u53c2\u6570<\/h4>\n\n\n\u82af\u7247<\/p>\n \u5185\u5b58\u5e26\u5bbd<\/p>\n GPU \u6838\u5fc3\u6570<\/p>\n \u6700\u5927\u7edf\u4e00\u5185\u5b58<\/p>\n \u7b49\u6548\u53ef\u7528\u663e\u5b58<\/p>\n AI \u6863\u4f4d<\/p>\n<\/tr>\n \n\n| \n M4（\u57fa\u7840\u7248）<\/p>\n<\/td>\n | \n 120 GB\/s<\/p>\n<\/td>\n | \n 10<\/p>\n<\/td>\n | \n 32GB<\/p>\n<\/td>\n | \n ~24GB<\/p>\n<\/td>\n | \n \u5165\u95e8<\/p>\n<\/td>\n<\/tr>\n | \n| \n M4 Pro<\/p>\n<\/td>\n | \n 273 GB\/s<\/p>\n<\/td>\n | \n 20<\/p>\n<\/td>\n | \n 64GB<\/p>\n<\/td>\n | \n ~56GB<\/p>\n<\/td>\n | \n Pro \u7ea7<\/p>\n<\/td>\n<\/tr>\n | \n| \n M4 Max<\/p>\n<\/td>\n | \n 410-546 GB\/s<\/p>\n<\/td>\n | \n 32-40<\/p>\n<\/td>\n | \n 128GB<\/p>\n<\/td>\n | \n ~120GB<\/p>\n<\/td>\n | \n \u4e13\u4e1a<\/p>\n<\/td>\n<\/tr>\n | \n| \n M3 Pro<\/p>\n<\/td>\n | \n 150 GB\/s<\/p>\n<\/td>\n | \n 18<\/p>\n<\/td>\n | \n 36GB<\/p>\n<\/td>\n | \n ~28GB<\/p>\n<\/td>\n | \n \u5165\u95e8 Pro<\/p>\n<\/td>\n<\/tr>\n | \n| \n M3 Max<\/p>\n<\/td>\n | \n 300-400 GB\/s<\/p>\n<\/td>\n | \n 30-40<\/p>\n<\/td>\n | \n 128GB<\/p>\n<\/td>\n | \n ~120GB<\/p>\n<\/td>\n | \n \u4e13\u4e1a<\/p>\n<\/td>\n<\/tr>\n | \n| \n M3 Ultra<\/p>\n<\/td>\n | \n 800 GB\/s<\/p>\n<\/td>\n | \n 60-80<\/p>\n<\/td>\n | \n 512GB<\/p>\n<\/td>\n | \n ~480GB<\/p>\n<\/td>\n | \n \u65d7\u8230<\/p>\n<\/td>\n<\/tr>\n | \n| \n M2 Ultra<\/p>\n<\/td>\n | \n 800 GB\/s<\/p>\n<\/td>\n | \n 60-76<\/p>\n<\/td>\n | \n 192GB<\/p>\n<\/td>\n | \n ~180GB<\/p>\n<\/td>\n | \n \u4e0a\u4e00\u4ee3\u65d7\u8230<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 5.3 \u5404\u5185\u5b58\u89c4\u683c\u9002\u914d\u6a21\u578b\u901f\u67e5<\/h4>\n\n\n\u7edf\u4e00\u5185\u5b58<\/p>\n \u53ef\u8dd1\u6a21\u578b（INT4 Q4_K_M）<\/p>\n \u5b9e\u9645\u53ef\u7528\u663e\u5b58<\/p>\n \u4f53\u9a8c<\/p>\n<\/tr>\n \n\n| 8GB<\/td>\n | \n 3B \u6a21\u578b（Llama 3.2 3B\u3001Phi-4 Mini）<\/p>\n<\/td>\n | \n ~5GB<\/p>\n<\/td>\n | \n \u52c9\u5f3a\u53ef\u7528，\u4ec5\u5b66\u4e60<\/p>\n<\/td>\n<\/tr>\n | \n| 16GB<\/td>\n | \n 7B-8B（Qwen3-8B\u3001Llama 3.1 8B）<\/p>\n<\/td>\n | \n ~12GB<\/p>\n<\/td>\n | \n \u5165\u95e8\u751c\u70b9，\u65e5\u5e38\u4f53\u9a8c\u4f73<\/p>\n<\/td>\n<\/tr>\n | \n| 24GB<\/td>\n | \n 14B（Qwen3-14B\u3001DeepSeek-R1-14B）<\/p>\n<\/td>\n | \n ~20GB<\/p>\n<\/td>\n | \n \u8d28\u7684\u98de\u8dc3，\u6027\u4ef7\u6bd4\u751c\u70b9<\/p>\n<\/td>\n<\/tr>\n | \n| 36-48GB<\/td>\n | \n 32B（Qwen3-32B\u3001DeepSeek-R1-32B）<\/p>\n<\/td>\n | \n ~30-42GB<\/p>\n<\/td>\n | \n \u672c\u5730 AI \u6700\u4f73\u4f53\u9a8c<\/p>\n<\/td>\n<\/tr>\n | \n| 64-96GB<\/td>\n | \n 70B（Llama 3.3 70B\u3001Qwen2.5 72B）<\/p>\n<\/td>\n | \n ~55-85GB<\/p>\n<\/td>\n | \n \u4e91\u7aef API \u8d28\u91cf，\u8dd1\u5728\u684c\u9762<\/p>\n<\/td>\n<\/tr>\n | \n| 128GB+<\/td>\n | \n 100B+（Qwen3-235B\u3001DeepSeek-V3）<\/p>\n<\/td>\n | \n ~115GB+<\/p>\n<\/td>\n | \n \u65e0\u9650\u5236，\u60f3\u505a\u5c31\u505a<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 5.4 Mac \u5404\u673a\u578b\u5b9e\u6d4b\u63a8\u7406\u901f\u5ea6（tok\/s）<\/h4>\n\u6d4b\u8bd5\u6761\u4ef6：Ollama，Q4_K_M \u91cf\u5316，500 tokens \u8f93\u5165\u751f\u6210 200 tokens\u3002<\/p>\n \n\n\u8bbe\u5907<\/p>\n \u5185\u5b58<\/p>\n \u5e26\u5bbd<\/p>\n 8B \u6a21\u578b<\/p>\n 14B \u6a21\u578b<\/p>\n 32B \u6a21\u578b<\/p>\n 70B \u6a21\u578b<\/p>\n<\/tr>\n \n\n| \n M4 Mac Mini 16GB<\/p>\n<\/td>\n | \n 16GB<\/p>\n<\/td>\n | \n 120GB\/s<\/p>\n<\/td>\n | \n 38 tok\/s<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n | \n \u274c<\/p>\n<\/td>\n<\/tr>\n | \n| \n M4 Pro Mini 48GB<\/p>\n<\/td>\n | \n 48GB<\/p>\n<\/td>\n | \n 273GB\/s<\/p>\n<\/td>\n | \n 42 tok\/s<\/p>\n<\/td>\n | \n 24 tok\/s<\/p>\n<\/td>\n | \n 11 tok\/s<\/p>\n<\/td>\n | \n \u274c \u5185\u5b58\u4e0d\u591f<\/p>\n<\/td>\n<\/tr>\n | \n| \n M3 Max MBP 64GB<\/p>\n<\/td>\n | \n 64GB<\/p>\n<\/td>\n | \n 300GB\/s<\/p>\n<\/td>\n | \n 58 tok\/s<\/p>\n<\/td>\n | \n 33 tok\/s<\/p>\n<\/td>\n | \n 15 tok\/s<\/p>\n<\/td>\n | \n 7.5 tok\/s<\/p>\n<\/td>\n<\/tr>\n | \n| \n M3 Max Studio 128GB<\/p>\n<\/td>\n | \n 128GB<\/p>\n<\/td>\n | \n 400GB\/s<\/p>\n<\/td>\n | \n 72 tok\/s<\/p>\n<\/td>\n | \n 41 tok\/s<\/p>\n<\/td>\n | \n 19 tok\/s<\/p>\n<\/td>\n | \n 9.8 tok\/s<\/p>\n<\/td>\n<\/tr>\n | \n| \n M2 Ultra Studio 192GB<\/p>\n<\/td>\n | \n 192GB<\/p>\n<\/td>\n | \n 800GB\/s<\/p>\n<\/td>\n | \n ~95 tok\/s<\/p>\n<\/td>\n | \n ~55 tok\/s<\/p>\n<\/td>\n | \n ~26 tok\/s<\/p>\n<\/td>\n | \n ~14 tok\/s<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u6838\u5fc3\u7ed3\u8bba：<\/p>\n \n- \n
\u00a0\u5185\u5b58\u5e26\u5bbd > \u82af\u7247\u4ee3\u6570：M3 Max（400GB\/s）\u8dd1 LLM \u6bd4 M4 Pro（273GB\/s）\u5feb 30-70%<\/p>\n<\/li>\n - \n
\u00a070B \u9700\u8981 64GB + Max \u7ea7\u5e26\u5bbd\u4f5c\u4e3a\u786c\u95e8\u69db<\/p>\n<\/li>\n - \n
\u00a048GB Mac Mini M4 Pro\u00a0\u662f\u672c\u5730\u8dd1 32B \u7684\u6700\u4f73\u6027\u4ef7\u6bd4（\u00a511,999）<\/p>\n<\/li>\n - \n
\u00a0128GB Mac Studio\u00a0\u53ef\u76f4\u63a5\u8dd1 70B Q4 \u91cf\u5316 42GB \u6743\u91cd，\u800c PC \u5355\u5361 24GB \u5b8c\u5168\u65e0\u6cd5\u5bf9\u6807<\/p>\n<\/li>\n<\/ul>\n 5.5 Mac vs NVIDIA \u7ec8\u6781\u5bf9\u6bd4<\/h4>\n\n\n\u7ef4\u5ea6<\/p>\n Mac \u65b9\u6848<\/p>\n NVIDIA \u65b9\u6848<\/p>\n<\/tr>\n \n\n| \n \u6700\u5927\u53ef\u8dd1\u6a21\u578b<\/p>\n<\/td>\n | \n 100B+（\u5927\u5185\u5b58\u7248）<\/p>\n<\/td>\n | \n 70B INT4（\u53cc\u5361）\/ 32B（\u5355\u5361）<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u63a8\u7406\u901f\u5ea6（32B）<\/p>\n<\/td>\n | \n 12-22 tok\/s<\/p>\n<\/td>\n | \n 40+ tok\/s（4090）<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u566a\u97f3<\/p>\n<\/td>\n | \n \u6781\u4f4e<\/p>\n<\/td>\n | \n \u4e2d-\u9ad8（\u98ce\u6247\u5578\u53eb）<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u529f\u8017（\u6ee1\u8f7d）<\/p>\n<\/td>\n | \n 60-100W<\/p>\n<\/td>\n | \n 500-1000W<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u9759\u97f3 7\u00d724<\/p>\n<\/td>\n | \n \u2705 \u5b8c\u7f8e<\/p>\n<\/td>\n | \n \u26a0\ufe0f \u9700\u6563\u70ed\u65b9\u6848<\/p>\n<\/td>\n<\/tr>\n | \n| \n GPU \u5347\u7ea7<\/p>\n<\/td>\n | \n \u65e0<\/p>\n<\/td>\n | \n \u53ef\u66f4\u6362<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u51fa\u56fe（SD\/Flux）<\/p>\n<\/td>\n | \n \u6162 30-50%<\/p>\n<\/td>\n | \n \u5feb<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u9002\u5408\u4eba\u7fa4<\/p>\n<\/td>\n | \n \u9759\u97f3\u9700\u6c42\u3001Mac \u751f\u6001\u3001\u9690\u79c1\u4f18\u5148<\/p>\n<\/td>\n | \n \u8ffd\u6c42\u901f\u5ea6\u3001\u53ef\u6298\u817e\u3001\u9884\u7b97\u7075\u6d3b<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 5.6 Mac \u9009\u8d2d\u907f\u96f7<\/h4>\n\n- \n
\u00a0\u274c\u00a0M3 Pro：\u5e26\u5bbd\u4ece M2 Pro \u7684 200GB\/s \u5012\u9000\u5230 150GB\/s，AI \u573a\u666f\u4e0d\u5982 M2 Pro<\/p>\n<\/li>\n - \n
\u00a0\u274c\u00a024GB \u5185\u5b58\u7248\u4efb\u4f55 Mac：2026 \u5e74\u5165\u95e8 32B \u90fd\u4e0d\u591f<\/p>\n<\/li>\n - \n
\u00a0\u274c\u00a0M4 \u57fa\u7840\u7248：16GB \u53ea\u80fd\u8dd1 8B，\u4e0d\u5212\u7b97<\/p>\n<\/li>\n - \n
\u00a0\u274c\u00a0Intel Mac：\u4e0d\u652f\u6301 Metal LLM \u52a0\u901f<\/p>\n<\/li>\n - \n
\u00a0\u2705\u00a0\u9996\u9009：M4 Pro 48GB Mac Mini（\u9884\u7b97 \u00a512,000）\u6216 M3 Max 64GB Mac Studio（\u9884\u7b97 \u00a515,000-20,000）<\/p>\n<\/li>\n<\/ul>\n
\n\u7b2c\u516d\u7ae0 \u4e3b\u6d41\u5927\u6a21\u578b \u00d7 \u786c\u4ef6\u9002\u914d\u5b8c\u6574\u5bf9\u7167\u8868<\/h3>\n6.1 2026 \u5e74\u516d\u5927\u4e3b\u6d41\u5f00\u6e90\u6a21\u578b\u786c\u4ef6\u9700\u6c42\u603b\u8868（INT4 Q4_K_M \u91cf\u5316）<\/h4>\n\n\n\u6a21\u578b<\/p>\n \u53c2\u6570\u91cf<\/p>\n INT4 \u6743\u91cd<\/p>\n \u63a8\u8350\u6700\u4f4e\u663e\u5b58<\/p>\n \u63a8\u8350\u5355\u5361<\/p>\n \u63a8\u8350\u591a\u5361<\/p>\n \u5b9e\u6d4b\u901f\u5ea6（t\/s）<\/p>\n<\/tr>\n \n\n| DeepSeek-R1 1.5B<\/td>\n | \n 1.5B<\/p>\n<\/td>\n | \n ~1GB<\/p>\n<\/td>\n | \n 4GB<\/p>\n<\/td>\n | \n \u6838\u663e\u5373\u53ef<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 50+<\/p>\n<\/td>\n<\/tr>\n | \n| Qwen3.5-0.8B<\/td>\n | \n 0.8B<\/p>\n<\/td>\n | \n ~0.5GB<\/p>\n<\/td>\n | \n \u65e0\u9700\u72ec\u663e<\/p>\n<\/td>\n | \n CPU+16GB \u5185\u5b58<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 60+<\/p>\n<\/td>\n<\/tr>\n | \n| Phi-4 Mini<\/td>\n | \n 3.8B<\/p>\n<\/td>\n | \n ~2.5GB<\/p>\n<\/td>\n | \n 4GB<\/p>\n<\/td>\n | \n RTX 3060<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 25-35<\/p>\n<\/td>\n<\/tr>\n | \n| Gemma 3<\/td>\n | \n 4B<\/p>\n<\/td>\n | \n ~3.2GB<\/p>\n<\/td>\n | \n 8GB<\/p>\n<\/td>\n | \n RTX 3060<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 30-45<\/p>\n<\/td>\n<\/tr>\n | \n| Qwen3-8B<\/td>\n | \n 8B<\/p>\n<\/td>\n | \n ~5GB<\/p>\n<\/td>\n | \n 8GB<\/p>\n<\/td>\n | \n RTX 3060 12GB<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 40-55（4090）<\/p>\n<\/td>\n<\/tr>\n | \n| Llama 3.1 8B<\/td>\n | \n 8B<\/p>\n<\/td>\n | \n ~4.5GB<\/p>\n<\/td>\n | \n 8GB<\/p>\n<\/td>\n | \n RTX 3060 12GB<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 45-60（4090）<\/p>\n<\/td>\n<\/tr>\n | \n| DeepSeek-R1-Distill-8B<\/td>\n | \n 8B<\/p>\n<\/td>\n | \n ~4.5GB<\/p>\n<\/td>\n | \n 8GB<\/p>\n<\/td>\n | \n RTX 3060 12GB<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 35-50<\/p>\n<\/td>\n<\/tr>\n | \n| GLM-Z1-9B<\/td>\n | \n 9B<\/p>\n<\/td>\n | \n ~5.5GB<\/p>\n<\/td>\n | \n 8GB<\/p>\n<\/td>\n | \n RTX 3060 12GB<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 45-60（4090）<\/p>\n<\/td>\n<\/tr>\n | \n| Qwen3-14B<\/td>\n | \n 14B<\/p>\n<\/td>\n | \n ~9GB<\/p>\n<\/td>\n | \n 12GB<\/p>\n<\/td>\n | \n RTX 3060 12GB<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 25-40（4090）<\/p>\n<\/td>\n<\/tr>\n | \n| DeepSeek-R1-Distill-14B<\/td>\n | \n 14B<\/p>\n<\/td>\n | \n ~8.5GB<\/p>\n<\/td>\n | \n 12GB<\/p>\n<\/td>\n | \n RTX 3060 12GB<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 20-35<\/p>\n<\/td>\n<\/tr>\n | \n| Qwen3-Coder-30B-A3B<\/td>\n | \n 30B MoE<\/p>\n<\/td>\n | \n ~2.5GB<\/p>\n<\/td>\n | \n 8GB<\/p>\n<\/td>\n | \n RTX 3060<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 40-60<\/p>\n<\/td>\n<\/tr>\n | \n| DeepSeek-V3-lite<\/td>\n | \n 16B<\/p>\n<\/td>\n | \n ~6.8GB<\/p>\n<\/td>\n | \n 8GB<\/p>\n<\/td>\n | \n RTX 3060<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 25-40<\/p>\n<\/td>\n<\/tr>\n | \n| Qwen3-27B<\/td>\n | \n 27B（Dense）<\/p>\n<\/td>\n | \n ~18GB<\/p>\n<\/td>\n | \n 24GB<\/p>\n<\/td>\n | \n RTX 3090\/4090<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 20-30（4090）<\/p>\n<\/td>\n<\/tr>\n | \n| Qwen3.5-32B<\/td>\n | \n 32B<\/p>\n<\/td>\n | \n ~18GB<\/p>\n<\/td>\n | \n 24GB<\/p>\n<\/td>\n | \n RTX 4090 24GB<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 25-40（4090）<\/p>\n<\/td>\n<\/tr>\n | \n| DeepSeek-R1-Distill-32B<\/td>\n | \n 32B<\/p>\n<\/td>\n | \n ~19GB<\/p>\n<\/td>\n | \n 24GB<\/p>\n<\/td>\n | \n RTX 3090\/4090<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 15-22<\/p>\n<\/td>\n<\/tr>\n | \n| GLM-Z1-32B<\/td>\n | \n 32B<\/p>\n<\/td>\n | \n ~18GB<\/p>\n<\/td>\n | \n 24GB<\/p>\n<\/td>\n | \n RTX 3090\/4090<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 20-30<\/p>\n<\/td>\n<\/tr>\n | \n| Yi-1.5-34B<\/td>\n | \n 34B<\/p>\n<\/td>\n | \n ~20GB<\/p>\n<\/td>\n | \n 24GB<\/p>\n<\/td>\n | \n RTX 3090\/4090<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 15-20<\/p>\n<\/td>\n<\/tr>\n | \n| DeepSeek-V3.2 \u84b8\u998f32B<\/td>\n | \n 32B<\/p>\n<\/td>\n | \n ~20GB<\/p>\n<\/td>\n | \n 24GB<\/p>\n<\/td>\n | \n RTX 4090 24GB<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 20-30<\/p>\n<\/td>\n<\/tr>\n | \n| Qwen3.5-72B<\/td>\n | \n 72B<\/p>\n<\/td>\n | \n ~42GB<\/p>\n<\/td>\n | \n 48GB+<\/p>\n<\/td>\n | \n H20 96GB<\/p>\n<\/td>\n | \u53cc 3090 48GB<\/td>\n | \n 8-12（\u53cc 3090）<\/p>\n<\/td>\n<\/tr>\n | \n| Llama 3.3 70B<\/td>\n | \n 70B<\/p>\n<\/td>\n | \n ~40GB<\/p>\n<\/td>\n | \n 48GB+<\/p>\n<\/td>\n | \n H200 141GB<\/p>\n<\/td>\n | \n \u53cc 4090 48GB<\/p>\n<\/td>\n | \n 8-15（\u53cc 4090）<\/p>\n<\/td>\n<\/tr>\n | \n| DeepSeek-R1-Distill-70B<\/td>\n | \n 70B<\/p>\n<\/td>\n | \n ~40GB<\/p>\n<\/td>\n | \n 48GB+<\/p>\n<\/td>\n | \n H20 96GB<\/p>\n<\/td>\n | \n \u53cc 4090 48GB<\/p>\n<\/td>\n | \n 8-14<\/p>\n<\/td>\n<\/tr>\n | \n| Qwen3.5-122B<\/td>\n | \n 122B<\/p>\n<\/td>\n | \n ~74GB<\/p>\n<\/td>\n | \n 80GB+<\/p>\n<\/td>\n | \n A100 80GB<\/p>\n<\/td>\n | \n 4\u00d7A100<\/p>\n<\/td>\n | \n 5-10<\/p>\n<\/td>\n<\/tr>\n | \n| Qwen3-235B-A22B<\/td>\n | \n 235B MoE<\/p>\n<\/td>\n | \n ~88GB<\/p>\n<\/td>\n | \n 96GB+<\/p>\n<\/td>\n | \n H200 141GB<\/p>\n<\/td>\n | \n 4\u00d7A100<\/p>\n<\/td>\n | \n 5-10<\/p>\n<\/td>\n<\/tr>\n | \n| DeepSeek-V3.2<\/td>\n | \n 685B MoE<\/p>\n<\/td>\n | \n ~340GB(FP8)<\/p>\n<\/td>\n | \n 400GB+<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 8\u00d7H100 80GB<\/p>\n<\/td>\n | \n 15-30<\/p>\n<\/td>\n<\/tr>\n | \n| Llama 4 Maverick<\/td>\n | \n 400B MoE<\/p>\n<\/td>\n | \n ~200GB(INT4)<\/p>\n<\/td>\n | \n 200GB+<\/p>\n<\/td>\n | \n \u2014<\/p>\n<\/td>\n | \n 4\u00d7H200<\/p>\n<\/td>\n | \n 10-20<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u8bf4\u660e：\u5b9e\u6d4b\u901f\u5ea6\u4e3a\u5355\u5361\u6700\u5927\u53ef\u7528\u663e\u5b58\u4e0b\u7684\u53c2\u8003\u6570\u636e，\u5b9e\u9645\u901f\u5ea6\u53d7\u63a8\u7406\u6846\u67b6\u3001\u4e0a\u4e0b\u6587\u957f\u5ea6\u3001batch size \u7b49\u56e0\u7d20\u5f71\u54cd\u3002<\/p>\n 6.2 \u6309\u663e\u5b58\u5bb9\u91cf\u53cd\u5411\u9009\u6a21\u578b（\u6d88\u8d39\u7ea7）<\/h4>\n\n\n\u4f60\u7684\u663e\u5b58<\/p>\n \u63a8\u8350\u6a21\u578b（INT4）<\/p>\n \u4f53\u9a8c\u7b49\u7ea7<\/p>\n<\/tr>\n \n\n| 4GB<\/td>\n | \n Phi-4-Mini\u3001Gemma 3 4B<\/p>\n<\/td>\n | \n \u2b50\u2b50 \u5165\u95e8\u4f53\u9a8c<\/p>\n<\/td>\n<\/tr>\n | \n| 8GB<\/td>\n | \n Qwen3-8B\u3001Llama 3.1 8B\u3001DeepSeek-V3-lite<\/p>\n<\/td>\n | \n \u2b50\u2b50\u2b50 \u65e5\u5e38\u53ef\u7528<\/p>\n<\/td>\n<\/tr>\n | \n| 12GB<\/td>\n | \n Qwen3-14B\u3001DeepSeek-R1-14B<\/p>\n<\/td>\n | \n \u2b50\u2b50\u2b50\u2b50 \u8d28\u7684\u63d0\u5347<\/p>\n<\/td>\n<\/tr>\n | \n| 16GB<\/td>\n | \n 14B \u5168\u7cbe\u5ea6\u300132B \u91cf\u5316（\u52c9\u5f3a）<\/p>\n<\/td>\n | \n \u2b50\u2b50\u2b50\u2b50 \u8db3\u591f\u597d\u7528<\/p>\n<\/td>\n<\/tr>\n | \n| 24GB<\/td>\n | \n Qwen3.5-32B\u3001DeepSeek-R1-32B<\/p>\n<\/td>\n | \n \u2b50\u2b50\u2b50\u2b50\u2b50 \u6d88\u8d39\u7ea7\u751c\u70b9<\/p>\n<\/td>\n<\/tr>\n | \n| 32GB<\/td>\n | \n 32B \u5168\u7cbe\u5ea6\u3001MoE \u6a21\u578b<\/p>\n<\/td>\n | \n \u2b50\u2b50\u2b50\u2b50\u2b50 \u63a5\u8fd1\u5929\u82b1\u677f<\/p>\n<\/td>\n<\/tr>\n | \n| 48GB+<\/td>\n | \n 70B-72B INT4<\/p>\n<\/td>\n | \n \u2b50\u2b50\u2b50\u2b50\u2b50 \u4e91\u7aef\u7ea7\u8d28\u91cf<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 6.3 \u6309\u4f7f\u7528\u573a\u666f\u63a8\u8350\u6a21\u578b+\u786c\u4ef6\u7ec4\u5408<\/h4>\n\n\n\u4f7f\u7528\u573a\u666f<\/p>\n \u63a8\u8350\u6a21\u578b<\/p>\n \u63a8\u8350\u786c\u4ef6<\/p>\n \u9884\u7b97<\/p>\n<\/tr>\n \n\n| \n \u65e5\u5e38\u95ee\u7b54 \/ \u5199\u4f5c<\/p>\n<\/td>\n | \n Qwen3-8B Q5<\/p>\n<\/td>\n | \n RTX 3060 12GB \/ M4 16GB<\/p>\n<\/td>\n | \n \u00a55,000-8,000<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u7f16\u7a0b\u52a9\u624b<\/p>\n<\/td>\n | \n Qwen3.5-32B Q4 \/ DeepSeek-V3-16B<\/p>\n<\/td>\n | \n RTX 3090 24GB<\/p>\n<\/td>\n | \n \u00a510,000-15,000<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u4e2d\u6587\u521b\u4f5c \/ \u7ffb\u8bd1<\/p>\n<\/td>\n | \n Qwen3.5-32B Q4<\/p>\n<\/td>\n | \n RTX 4090 24GB \/ M4 Pro 48GB<\/p>\n<\/td>\n | \n \u00a512,000-18,000<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u6570\u5b66\u63a8\u7406 \/ \u7ade\u8d5b<\/p>\n<\/td>\n | \n DeepSeek-R1-32B Q4<\/p>\n<\/td>\n | \n RTX 3090 24GB<\/p>\n<\/td>\n | \n \u00a510,000-15,000<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u957f\u6587\u6863\u5206\u6790<\/p>\n<\/td>\n | \n Yi-1.5-34B Q4（200K \u4e0a\u4e0b\u6587）<\/p>\n<\/td>\n | \n RTX 3090 24GB<\/p>\n<\/td>\n | \n \u00a510,000-15,000<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u77e5\u8bc6\u5e93 \/ RAG<\/p>\n<\/td>\n | \n Qwen3.5-32B Q4 + BGE-M3 Embedding<\/p>\n<\/td>\n | \n RTX 3090 24GB<\/p>\n<\/td>\n | \n \u00a510,000-15,000<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u591a\u6a21\u6001 \/ \u89c6\u89c9<\/p>\n<\/td>\n | \n Qwen3-VL-8B<\/p>\n<\/td>\n | \n RTX 4060 Ti 16GB<\/p>\n<\/td>\n | \n \u00a58,000-12,000<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u4f01\u4e1a\u7ea7\u667a\u80fd\u5ba2\u670d<\/p>\n<\/td>\n | \n Qwen3.5-72B Q4<\/p>\n<\/td>\n | \n H20 96GB \/ \u53cc 3090<\/p>\n<\/td>\n | \n \u00a515,000-30,000<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u8d85\u957f\u4e0a\u4e0b\u6587（10M）<\/p>\n<\/td>\n | \n Llama 4 Scout 109B Q2<\/p>\n<\/td>\n | \n RTX 4090 24GB \/ MAC 128GB<\/p>\n<\/td>\n | \n \u00a515,000-40,000<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u8ffd\u6c42\u9ad8\u8d28\u91cf\u8f93\u51fa<\/p>\n<\/td>\n | \n Qwen3.5-72B Q4<\/p>\n<\/td>\n | \n Dual RTX 4090 \/ M4 Max 128GB<\/p>\n<\/td>\n | \n \u00a525,000-35,000<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\u7b2c\u4e03\u7ae0 \u8bad\u7ec3 vs \u63a8\u7406：\u786c\u4ef6\u9700\u6c42\u7684\u6838\u5fc3\u5dee\u5f02<\/h3>\n7.1 \u603b\u89c8<\/h4>\n\n\n\u7ef4\u5ea6<\/p>\n \u63a8\u7406（Inference）<\/p>\n \u8bad\u7ec3\/\u5fae\u8c03（Training\/Fine-tuning）<\/p>\n<\/tr>\n \n\n| \u74f6\u9888\u8d44\u6e90<\/td>\n | \n \u663e\u5b58\u5e26\u5bbd（GB\/s）<\/p>\n<\/td>\n | \n \u7b97\u529b（TFLOPS） + \u663e\u5b58\u5bb9\u91cf<\/p>\n<\/td>\n<\/tr>\n | \n| \u663e\u5b58\u9700\u6c42\u500d\u6570<\/td>\n | \n 1x<\/p>\n<\/td>\n | \n 3-4x（\u5168\u53c2） \/ 1.5-2x（LoRA）<\/p>\n<\/td>\n<\/tr>\n | \n| \u5bf9\u91cf\u5316\u7cbe\u5ea6\u654f\u611f\u5ea6<\/td>\n | \n \u4f4e（INT4 \u53ef\u7528）<\/p>\n<\/td>\n | \n \u9ad8（\u9700\u8981 BF16\/FP16）<\/p>\n<\/td>\n<\/tr>\n | \n| \u63a8\u8350 GPU \u7c7b\u578b<\/td>\n | \n \u5927\u663e\u5b58 + \u9ad8\u5e26\u5bbd<\/p>\n<\/td>\n | \n \u9ad8\u7b97\u529b + \u5927\u663e\u5b58 + NVLink<\/p>\n<\/td>\n<\/tr>\n | \n| \u5173\u952e\u7279\u6027<\/td>\n | \n PagedAttention\u3001Flash Attention<\/p>\n<\/td>\n | \n Tensor Cores\u3001NVLink \u4e92\u8054<\/p>\n<\/td>\n<\/tr>\n | \n| \u6d88\u8d39\u7ea7\u53ef\u884c\u6027<\/td>\n | \n \u2705 \u5b8c\u5168\u53ef\u884c<\/p>\n<\/td>\n | \n \u26a0\ufe0f \u4ec5\u5c0f\u6a21\u578b（<13B）<\/p>\n<\/td>\n<\/tr>\n | \n| \u91cf\u5316\u662f\u5426\u63a8\u8350<\/td>\n | \n \u2705 \u5f3a\u70c8\u63a8\u8350 INT4\/INT8<\/p>\n<\/td>\n | \n \u26a0\ufe0f \u8bad\u7ec3\u7528 BF16\/FP16，QLoRA \u53ef\u7528 INT4<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 7.2 \u8bad\u7ec3\u663e\u5b58\u8be6\u7ec6\u4f30\u7b97<\/h4>\n\u5168\u53c2\u6570\u5fae\u8c03\u663e\u5b58 \u2248 \u6a21\u578b\u6743\u91cd + \u4f18\u5316\u5668\u72b6\u6001（2\u00d7\u6743\u91cd）+ \u68af\u5ea6（1\u00d7\u6743\u91cd）+ \u6fc0\u6d3b\u503c
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u2248 4\u00d7 \u6a21\u578b\u6743\u91cd（FP16）+ \u6fc0\u6d3b\u503c<\/p>\n LoRA \u5fae\u8c03\u663e\u5b58 \u2248 \u6a21\u578b\u6743\u91cd + LoRA \u9002\u914d\u5668 + \u6fc0\u6d3b\u503c
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u2248 1.2\u00d7 \u6a21\u578b\u6743\u91cd（FP16）+ \u6fc0\u6d3b\u503c<\/p>\n \u5404\u6a21\u578b\u8bad\u7ec3\u6240\u9700 GPU \u7ec4\u5408：<\/p>\n \n\n\u6a21\u578b<\/p>\n \u5168\u53c2\u5fae\u8c03（FP16）<\/p>\n LoRA \u5fae\u8c03（FP16）<\/p>\n QLoRA（INT4）<\/p>\n<\/tr>\n \n\n| Qwen3-8B<\/td>\n | \n 1\u00d7A100 80GB（60GB）<\/p>\n<\/td>\n | \n 1\u00d7RTX 4090 24GB（22GB）<\/p>\n<\/td>\n | \n 1\u00d7RTX 3090 24GB（15GB）<\/p>\n<\/td>\n<\/tr>\n | \n| Qwen3-14B<\/td>\n | \n 2\u00d7A100 80GB（110GB）<\/p>\n<\/td>\n | \n 1\u00d7A100 80GB（40GB）<\/p>\n<\/td>\n | \n 1\u00d7RTX 4090 24GB（22GB）<\/p>\n<\/td>\n<\/tr>\n | \n| Qwen3.5-32B<\/td>\n | \n 4\u00d7A100 80GB（250GB）<\/p>\n<\/td>\n | \n 2\u00d7A100 80GB（100GB）<\/p>\n<\/td>\n | \n 1\u00d7RTX 4090 24GB（24GB）<\/p>\n<\/td>\n<\/tr>\n | \n| Qwen3.5-72B<\/td>\n | \n 8\u00d7A100 80GB（550GB）<\/p>\n<\/td>\n | \n 4\u00d7A100 80GB（220GB）<\/p>\n<\/td>\n | \n 2\u00d7RTX 4090 48GB（45GB）<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 7.3 \u79df\u8d41 GPU \u907f\u5751<\/h4>\n\n\n\u5751<\/p>\n \u5b9e\u9645\u60c5\u51b5<\/p>\n \u907f\u5751\u65b9\u6848<\/p>\n<\/tr>\n \n\n| \n \u9884\u4f30 3 \u5929\u8dd1\u5b8c，\u5b9e\u9645 5 \u5929<\/p>\n<\/td>\n | \n GPU \u79df\u8d41\u300c\u6309\u5361\u65f6\u8ba1\u8d39\u300d，\u542b\u8c03\u8bd5\u7a7a\u95f2\u65f6\u95f4<\/p>\n<\/td>\n | \u8c03\u8bd5\u7528 T4\/V100，\u6b63\u5f0f\u8dd1\u7528 A100\/H100<\/td>\n<\/tr>\n | \n| \n \u7ade\u4ef7\u5b9e\u4f8b\u4fbf\u5b9c\u4f46\u88ab\u4e2d\u65ad<\/p>\n<\/td>\n | \n \u4ef7\u683c\u4f4e 50-70% \u4f46\u968f\u65f6\u53ef\u80fd\u88ab\u56de\u6536<\/p>\n<\/td>\n | \n \u914d\u5408 Checkpoint \u65ad\u70b9\u7eed\u8bad<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u6570\u636e\u52a0\u8f7d\u62d6\u6162\u8bad\u7ec3<\/p>\n<\/td>\n | \n GPU \u5229\u7528\u7387\u4ec5 30%，\u5927\u90e8\u5206\u65f6\u95f4\u7b49 I\/O<\/p>\n<\/td>\n | \n \u9884\u52a0\u8f7d\u5230\u5185\u5b58\u3001\u7528\u9ad8\u901f NVMe<\/p>\n<\/td>\n<\/tr>\n | \n| \n 8 \u5361 \u2260 8x \u901f\u5ea6<\/p>\n<\/td>\n | \n PCIe \u7248\u591a\u5361\u52a0\u901f\u6bd4\u4ec5 3.5x<\/p>\n<\/td>\n | \n SXM + NVSwitch \u53ef\u8fbe 6.5x<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\u7b2c\u516b\u7ae0 \u591a GPU \u5e76\u884c\u65b9\u6848\u5b9e\u6218<\/h3>\n8.1 \u4e92\u8054\u6280\u672f\u5bf9\u6bd4<\/h4>\n\n\n\u6280\u672f<\/p>\n \u5e26\u5bbd<\/p>\n \u9002\u7528 GPU<\/p>\n \u6027\u4ef7\u6bd4<\/p>\n \u9002\u5408<\/p>\n<\/tr>\n \n\n| PCIe 4.0 \u00d716<\/td>\n | \n 32 GB\/s<\/p>\n<\/td>\n | \n \u6240\u6709\u6d88\u8d39\u7ea7 GPU<\/p>\n<\/td>\n | \n \u9ad8<\/p>\n<\/td>\n | \n \u6570\u636e\u5e76\u884c\u3001\u5355\u5361\u63a8\u7406<\/p>\n<\/td>\n<\/tr>\n | \n| PCIe 5.0 \u00d716<\/td>\n | \n 64 GB\/s<\/p>\n<\/td>\n | \n RTX 50 \u7cfb<\/p>\n<\/td>\n | \n \u9ad8<\/p>\n<\/td>\n | \n \u6570\u636e\u5e76\u884c<\/p>\n<\/td>\n<\/tr>\n | \n| NVLink 3.0<\/td>\n | \n 600 GB\/s<\/p>\n<\/td>\n | \n A100<\/p>\n<\/td>\n | \n \u4e2d<\/p>\n<\/td>\n | \n \u5f20\u91cf\u5e76\u884c\u3001\u591a\u5361\u63a8\u7406<\/p>\n<\/td>\n<\/tr>\n | \n| NVLink 4.0<\/td>\n | \n 900 GB\/s<\/p>\n<\/td>\n | \n H100 SXM<\/p>\n<\/td>\n | \n \u4f4e<\/p>\n<\/td>\n | \n \u5927\u89c4\u6a21\u8bad\u7ec3<\/p>\n<\/td>\n<\/tr>\n | \n| NVSwitch<\/td>\n | \n 900 GB\/s per link<\/p>\n<\/td>\n | \n H100 SXM（\u5168\u4e92\u8054）<\/p>\n<\/td>\n | \n \u6700\u4f4e<\/p>\n<\/td>\n | \n 8 \u5361\u8bad\u7ec3\u96c6\u7fa4<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 8.2 \u591a\u5361\u52a0\u901f\u6bd4\u5b9e\u6d4b<\/h4>\n\n\n\u4e92\u8054\u65b9\u5f0f<\/p>\n 2 \u5361<\/p>\n 4 \u5361<\/p>\n 8 \u5361<\/p>\n<\/tr>\n \n\n| \n PCIe Gen4<\/p>\n<\/td>\n | \n 1.6x<\/p>\n<\/td>\n | \n 2.5x<\/p>\n<\/td>\n | \n 3.5x<\/p>\n<\/td>\n<\/tr>\n | \n| \n NVLink 4.0<\/p>\n<\/td>\n | \n 1.8x<\/p>\n<\/td>\n | \n 3.2x<\/p>\n<\/td>\n | \n 5.5x<\/p>\n<\/td>\n<\/tr>\n | \n| \n NVSwitch + \u4f18\u5316<\/p>\n<\/td>\n | \n 1.9x<\/p>\n<\/td>\n | \n 3.5x<\/p>\n<\/td>\n | 6.5x<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u26a0\ufe0f\u00a0\u6838\u5fc3\u6559\u8bad：8 \u5361\u901a\u5e38\u53ea\u80fd\u8fbe\u5230 5-6.5 \u500d\u52a0\u901f，\u4e0d\u8981\u671f\u671b\u7ebf\u6027\u589e\u957f\u3002\u4f18\u5148\u9009\u5355\u5361\u80fd\u529b\u5f3a\u7684 GPU \u6bd4\u5806\u5361\u6570\u66f4\u5212\u7b97\u3002<\/p>\n 8.3 \u53cc\u5361\u6d88\u8d39\u7ea7\u663e\u5361\u90e8\u7f72 70B \u6a21\u578b<\/h4>\n# Ollama \u53cc GPU \u914d\u7f6e
\n# \u5148\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf
\nexport\u00a0OLLAMA_NUM_GPU=2<\/p>\n # \u62c9\u53d6 70B \u91cf\u5316\u6a21\u578b
\nollama pull deepseek-r1:70b-q4_K_M<\/p>\n # \u8fd0\u884c
\nollama run deepseek-r1:70b-q4_K_M<\/p>\n \u6ce8\u610f\u4e8b\u9879：<\/p>\n \n- \n
\u00a0\u4e24\u5f20\u5361\u5fc5\u987b\u76f8\u540c\u578b\u53f7（\u5982\u4e24\u5f20 RTX 3090），Ollama \u4e0d\u652f\u6301\u5f02\u6784\u591a\u5361<\/p>\n<\/li>\n - \u00a0\u5982\u679c\u53ea\u6709\u4e00\u5f20 NVIDIA + CPU \u5171\u4eab\u5185\u5b58\u6a21\u5f0f，\u53ef\u9650\u5236 GPU \u5c42\u6570：\n
ollama run deepseek-r1:70b –num-gpu-layers 40<\/p>\n<\/li>\n - \n
\u00a0\u7535\u6e90\u5fc5\u987b\u591f\u2014\u2014\u53cc 3090 \u6ee1\u8f7d\u529f\u8017 ~700W，\u5efa\u8bae 1200W \u91d1\u724c\u4ee5\u4e0a\u7535\u6e90<\/p>\n<\/li>\n<\/ul>\n
\n\u7b2c\u4e5d\u7ae0 \u5404\u9884\u7b97\u6863\u4f4d\u5b8c\u6574\u914d\u7f6e\u65b9\u6848（2026 \u5e74 6 \u6708）<\/h3>\n\u65b9\u6848 A：\u96f6\u6210\u672c\u5165\u95e8 \u2014\u2014 \u65e0\u9700\u72ec\u663e<\/h4>\n\n\n\u786c\u4ef6<\/p>\n \u63a8\u8350\u578b\u53f7<\/p>\n \u4ef7\u683c<\/p>\n<\/tr>\n \n\n| \n CPU<\/p>\n<\/td>\n | \n Intel i3 \/ \u4efb\u610f\u53cc\u6838\u4ee5\u4e0a<\/p>\n<\/td>\n | \n \u5229\u7528\u73b0\u6709<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u5185\u5b58<\/p>\n<\/td>\n | \n 16GB DDR4<\/p>\n<\/td>\n | \n \u5229\u7528\u73b0\u6709<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u5b58\u50a8<\/p>\n<\/td>\n | \n 256GB SSD<\/p>\n<\/td>\n | \n \u5229\u7528\u73b0\u6709<\/p>\n<\/td>\n<\/tr>\n | \n| \u663e\u5361<\/td>\n | \u65e0\u9700\u72ec\u663e（CPU \u63a8\u7406）<\/td>\n | \u00a50<\/td>\n<\/tr>\n | \n| \n \u53ef\u8dd1\u6a21\u578b<\/p>\n<\/td>\n | \n Qwen3.5-0.8B（Q4 \u4e0d\u5230 1GB）<\/p>\n<\/td>\n | \n<\/td>\n<\/tr>\n | \n| \n \u63a8\u7406\u901f\u5ea6<\/p>\n<\/td>\n | \n 5-10 tok\/s<\/p>\n<\/td>\n | \n<\/td>\n<\/tr>\n | \n| \n \u80fd\u505a\u4ec0\u4e48<\/p>\n<\/td>\n | \n \u4f53\u9a8c\u672c\u5730 AI \u662f\u4ec0\u4e48\u611f\u89c9，\u7b80\u5355\u95ee\u7b54\u3001\u7ffb\u8bd1<\/p>\n<\/td>\n | \n<\/td>\n<\/tr>\n | \n| \u603b\u9884\u7b97<\/td>\n | \u5229\u7528\u73b0\u6709\u786c\u4ef6<\/td>\n | \n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 💡 \u5efa\u8bae：\u5982\u679c\u53ea\u662f\u4f53\u9a8c，\u4e0d\u5982\u76f4\u63a5\u7528\u4e91\u7aef API（\u5982 DeepSeek API \u514d\u8d39\u989d\u5ea6）\u3002<\/p>\n
\n\u65b9\u6848 B：\u5165\u95e8\u5b66\u4e60\u578b \u2014\u2014 \u9884\u7b97 \u00a54,000-6,000 \u2b50<\/h4>\n\u76ee\u6807：\u6d41\u7545\u8fd0\u884c 7B-9B INT4 \u91cf\u5316\u6a21\u578b<\/p>\n \n\n\u914d\u4ef6<\/p>\n \u63a8\u8350\u578b\u53f7<\/p>\n \u4ef7\u683c<\/p>\n<\/tr>\n \n\n| \n CPU<\/p>\n<\/td>\n | \n Intel i5-12400F \/ AMD R5 5600<\/p>\n<\/td>\n | \n \u00a5600-800<\/p>\n<\/td>\n<\/tr>\n | \n| \u663e\u5361<\/td>\n | RTX 3060 12GB（\u4e8c\u624b）<\/p>\n \u00a0\u6216\u00a0RTX 4060 Ti 16GB（\u65b0）<\/p>\n<\/td>\n | \u00a51,200 \/ \u00a53,200<\/td>\n<\/tr>\n | \n| \n \u5185\u5b58<\/p>\n<\/td>\n | \n 32GB DDR4 3200MHz<\/p>\n<\/td>\n | \n \u00a5400<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u5b58\u50a8<\/p>\n<\/td>\n | \n 1TB NVMe SSD<\/p>\n<\/td>\n | \n \u00a5400<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u4e3b\u677f<\/p>\n<\/td>\n | \n B660M \/ B550M<\/p>\n<\/td>\n | \n \u00a5500<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u7535\u6e90<\/p>\n<\/td>\n | \n 650W \u94dc\u724c<\/p>\n<\/td>\n | \n \u00a5350<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u673a\u7bb1<\/p>\n<\/td>\n | \n \u666e\u901a ATX<\/p>\n<\/td>\n | \n \u00a5200<\/p>\n<\/td>\n<\/tr>\n | \n| \u5408\u8ba1<\/td>\n | \n<\/td>\n | \u00a53,650-5,850<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u6027\u80fd\u8868\u73b0：DeepSeek-R1-7B 30-45 tok\/s，\u65e5\u5e38\u5bf9\u8bdd\u6d41\u7545，\u4ee3\u7801\u8865\u5168\u5ef6\u8fdf < 1 \u79d2\u3002<\/p>\n
\n\u65b9\u6848 C：\u8fdb\u9636\u4e3b\u529b\u578b \u2014\u2014 \u9884\u7b97 \u00a512,000-18,000 \u2b50\u2b50 \u5f3a\u70c8\u63a8\u8350<\/h4>\n\u76ee\u6807：\u6d41\u7545\u8fd0\u884c 14B-32B INT4 \u91cf\u5316\u6a21\u578b<\/p>\n \n\n\u914d\u4ef6<\/p>\n \u63a8\u8350\u578b\u53f7<\/p>\n \u4ef7\u683c<\/p>\n<\/tr>\n \n\n| \n CPU<\/p>\n<\/td>\n | \n Intel i7-13700F \/ AMD R7 7800X3D<\/p>\n<\/td>\n | \n \u00a51,800-2,500<\/p>\n<\/td>\n<\/tr>\n | \n| \u663e\u5361<\/td>\n | RTX 3090 24GB（\u4e8c\u624b）<\/td>\n | \u00a56,000<\/td>\n<\/tr>\n | \n| \n \u5185\u5b58<\/p>\n<\/td>\n | \n 64GB DDR5 5600MHz<\/p>\n<\/td>\n | \n \u00a51,200<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u5b58\u50a8<\/p>\n<\/td>\n | \n 2TB NVMe Gen4 SSD<\/p>\n<\/td>\n | \n \u00a5800<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u4e3b\u677f<\/p>\n<\/td>\n | \n Z790 \/ B650<\/p>\n<\/td>\n | \n \u00a51,200<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u7535\u6e90<\/p>\n<\/td>\n | \n 1000W \u91d1\u724c\u5168\u6a21\u7ec4<\/p>\n<\/td>\n | \n \u00a5800<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u6563\u70ed<\/p>\n<\/td>\n | \n 360 \u6c34\u51b7（3090 \u53d1\u70ed\u91cf\u5de8\u5927）<\/p>\n<\/td>\n | \n \u00a5500<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u673a\u7bb1<\/p>\n<\/td>\n | \n \u4e2d\u5854\u901a\u98ce\u673a\u7bb1<\/p>\n<\/td>\n | \n \u00a5400<\/p>\n<\/td>\n<\/tr>\n | \n| \u5408\u8ba1<\/td>\n | \n<\/td>\n | \u00a512,700-13,400<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u4e3a\u4ec0\u4e48\u662f 3090 \u800c\u4e0d\u662f 4090？\u00a0RTX 3090 \u7684 24GB \u663e\u5b58\u4e0e 4090 \u76f8\u540c，LLM \u63a8\u7406\u573a\u666f\u4e0b\u663e\u5b58\u5927\u5c0f\u6bd4\u7b97\u529b\u91cd\u8981\u5f97\u591a\u30023090 \u7684 936 GB\/s \u5e26\u5bbd\u8dd1 32B INT4 \u7ef0\u7ef0\u6709\u4f59，\u4ef7\u683c\u53ea\u6709 4090 \u7684\u4e00\u534a\u3002<\/p>\n \u6027\u80fd\u8868\u73b0：Qwen3.5-32B INT4 \u7ea6 18-25 tok\/s，\u53ef\u540c\u65f6\u8dd1 RAG \u77e5\u8bc6\u5e93 + \u5bf9\u8bdd Agent\u3002<\/p>\n
\n\u65b9\u6848 D：\u6027\u80fd\u53d1\u70e7\u578b \u2014\u2014 \u9884\u7b97 \u00a525,000-35,000<\/h4>\n\u76ee\u6807：\u6d41\u7545\u8fd0\u884c 70B \u91cf\u5316\u6a21\u578b\u6216 32B \u5168\u7cbe\u5ea6<\/p>\n \n\n\u914d\u4ef6<\/p>\n \u4ef7\u683c<\/p>\n<\/tr>\n \n\n| RTX 5090 32GB（\u5355\u5361）<\/td>\n | \n \u00a514,000<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u6216\u00a0\u53cc RTX 3090 24GB（\u53cc\u5361 48GB）<\/p>\n<\/td>\n | \n \u00a512,000<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u5176\u4f59\u914d\u4ef6（CPU\u3001\u5185\u5b58\u3001\u4e3b\u677f\u3001\u7535\u6e90\u7b49）<\/p>\n<\/td>\n | \n \u00a513,000-15,000<\/p>\n<\/td>\n<\/tr>\n | \n| \u5408\u8ba1<\/td>\n | \u00a525,000-29,000<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\u65b9\u6848<\/p>\n \u663e\u5b58<\/p>\n \u4f18\u52bf<\/p>\n \u52a3\u52bf<\/p>\n<\/tr>\n \n\n| \n \u5355 RTX 5090 32GB<\/p>\n<\/td>\n | \n 32GB<\/p>\n<\/td>\n | \n \u7701\u5fc3\u3001\u9a71\u52a8\u7a33\u3001\u4f4e\u529f\u8017，32B \u5168\u7cbe\u5ea6\u8dd1\u6ee1<\/p>\n<\/td>\n | \n \u4ef7\u683c\u9ad8<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u53cc RTX 3090 48GB<\/p>\n<\/td>\n | \n 48GB<\/p>\n<\/td>\n | \n \u4fbf\u5b9c，\u80fd\u5b8c\u6574\u8dd1 70B INT4（~42GB）<\/p>\n<\/td>\n | \n \u529f\u8017 700W+，\u90e8\u5206\u6a21\u578b\u9700\u624b\u52a8\u5e76\u884c\u914d\u7f6e<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u6027\u80fd\u8868\u73b0：\u53cc 3090 \u8dd1 DeepSeek-R1-70B INT4 \u7ea6 8-12 tok\/s，\u901f\u5ea6\u4e0d\u5feb\u4f46\u80fd\u7528\u3002\u5355 5090 \u8dd1 Qwen3.5-32B \u5168\u7cbe\u5ea6\u7ea6 35-50 tok\/s\u3002<\/p>\n
\n\u65b9\u6848 E：Mac \u9759\u97f3\u65b9\u6848<\/h4>\n\n\n\u8bbe\u5907<\/p>\n \u7edf\u4e00\u5185\u5b58<\/p>\n \u53ef\u8dd1\u6a21\u578b<\/p>\n \u4ef7\u683c<\/p>\n \u63a8\u8350\u5ea6<\/p>\n<\/tr>\n \n\n| \n Mac Mini M4 Pro 48GB<\/p>\n<\/td>\n | \n 48GB<\/p>\n<\/td>\n | \n 32B \u5168\u7cbe\u5ea6<\/p>\n<\/td>\n | \n \u00a511,999<\/p>\n<\/td>\n | \n \u2b50\u2b50\u2b50\u2b50\u2b50 \u6700\u4f73\u6027\u4ef7\u6bd4<\/p>\n<\/td>\n<\/tr>\n | \n| \n Mac Studio M3 Max 64GB<\/p>\n<\/td>\n | \n 64GB<\/p>\n<\/td>\n | \n 70B INT4<\/p>\n<\/td>\n | \n \u00a518,000-20,000<\/p>\n<\/td>\n | \n \u2b50\u2b50\u2b50\u2b50 \u8dd1 70B \u751c\u70b9<\/p>\n<\/td>\n<\/tr>\n | \n| \n Mac Studio M3 Max 128GB<\/p>\n<\/td>\n | \n 128GB<\/p>\n<\/td>\n | \n 100B+ Q4<\/p>\n<\/td>\n | \n \u00a528,000-32,000<\/p>\n<\/td>\n | \n \u2b50\u2b50\u2b50\u2b50 \u65e0\u9650\u5236<\/p>\n<\/td>\n<\/tr>\n | \n| \n MacBook Pro M4 Max 48GB<\/p>\n<\/td>\n | \n 48GB<\/p>\n<\/td>\n | \n 32B \u5168\u7cbe\u5ea6<\/p>\n<\/td>\n | \n \u00a525,999<\/p>\n<\/td>\n | \n \u2b50\u2b50\u2b50\u2b50 \u79fb\u52a8\u9996\u9009<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\u65b9\u6848 F：\u4f01\u4e1a\u670d\u52a1\u5668\u65b9\u6848<\/h4>\n\n\n\u76ee\u6807<\/p>\n \u63a8\u8350\u914d\u7f6e<\/p>\n \u6708\u79df（\u4e91）<\/p>\n \u91c7\u8d2d（\u81ea\u5efa）<\/p>\n<\/tr>\n \n\n| \n 7B-13B \u9ad8\u5e76\u53d1\u63a8\u7406<\/p>\n<\/td>\n | \n 1\u00d7A100 80GB<\/p>\n<\/td>\n | \n \u00a58,000-12,000\/\u6708<\/p>\n<\/td>\n | \n \u00a515-25 \u4e07<\/p>\n<\/td>\n<\/tr>\n | \n| \n 32B \u63a8\u7406\u670d\u52a1<\/p>\n<\/td>\n | \n 1\u00d7H20 96GB \u6216 2\u00d7A100 80GB<\/p>\n<\/td>\n | \n \u00a55,000-10,000\/\u6708<\/p>\n<\/td>\n | \n \u00a510-20 \u4e07<\/p>\n<\/td>\n<\/tr>\n | \n| \n 70B \u63a8\u7406\u670d\u52a1<\/p>\n<\/td>\n | \n 4\u00d7A100 80GB \u6216 2\u00d7H100 SXM<\/p>\n<\/td>\n | \n \u00a525,000-40,000\/\u6708<\/p>\n<\/td>\n | \n \u00a540-60 \u4e07<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u5343\u4ebf\u53c2\u6570\u63a8\u7406<\/p>\n<\/td>\n | \n 8\u00d7H200<\/p>\n<\/td>\n | \n \u00a5150,000-200,000\/\u6708<\/p>\n<\/td>\n | \n \u00a5200-300 \u4e07<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\u7b2c\u5341\u7ae0 \u4e91 GPU vs \u81ea\u5efa\u786c\u4ef6\u6210\u672c\u5bf9\u6bd4<\/h3>\n10.1 \u5404\u670d\u52a1\u5546\u4ef7\u683c\u53c2\u8003（2026 \u5e74 6 \u6708）<\/h4>\n\n\n\u670d\u52a1\u5546<\/p>\n \u914d\u7f6e<\/p>\n \u4ef7\u683c<\/p>\n \u9002\u5408<\/p>\n<\/tr>\n \n\n| AutoDL<\/td>\n | \n RTX 3090 24GB<\/p>\n<\/td>\n | \n \u00a51,500-2,000\/\u6708（\u6309\u91cf）<\/p>\n<\/td>\n | \n \u4e2a\u4eba\u5f00\u53d1\u8005\u3001\u5b9e\u9a8c<\/p>\n<\/td>\n<\/tr>\n | \n| AutoDL<\/td>\n | \n A100 40GB<\/p>\n<\/td>\n | \n \u00a54,000-5,000\/\u6708（\u6309\u91cf）<\/p>\n<\/td>\n | \n \u4e2d\u5c0f\u56e2\u961f\u8bad\u7ec3<\/p>\n<\/td>\n<\/tr>\n | \n| \u963f\u91cc\u4e91 PAI<\/td>\n | \n A100 80GB<\/p>\n<\/td>\n | \n \u00a58,000-12,000\/\u6708<\/p>\n<\/td>\n | \n \u4f01\u4e1a\u751f\u4ea7<\/p>\n<\/td>\n<\/tr>\n | \n| \u817e\u8baf\u4e91 GPU<\/td>\n | \n GN10Xp 24GB<\/p>\n<\/td>\n | \n \u00a56,000-9,000\/\u6708<\/p>\n<\/td>\n | \n \u4f01\u4e1a\u63a8\u7406\u670d\u52a1<\/p>\n<\/td>\n<\/tr>\n | \n| AWS<\/td>\n | \n g4dn.xlarge 16GB<\/p>\n<\/td>\n | \n $600-800\/\u6708<\/p>\n<\/td>\n | \n \u6d77\u5916\u4e1a\u52a1<\/p>\n<\/td>\n<\/tr>\n | \n| AWS<\/td>\n | \n p4d.24xlarge 8\u00d7A100<\/p>\n<\/td>\n | \n $32\/\u5c0f\u65f6<\/p>\n<\/td>\n | \n \u5927\u89c4\u6a21\u8bad\u7ec3<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 10.2 \u81ea\u5efa vs \u79df\u8d41\u76c8\u4e8f\u5e73\u8861\u70b9<\/h4>\n\u81ea\u5efa\u6210\u672c \u00a515,000（RTX 3090 \u6574\u673a）
\n\u00f7 AutoDL \u79df\u8d41 \u00a51,800\/\u6708
\n= 8.3 \u4e2a\u6708\u56de\u672c<\/p>\n \u5982\u679c\u6bcf\u5929\u4f7f\u7528\u8d85\u8fc7 4 \u5c0f\u65f6 \u2192 \u81ea\u5efa\u66f4\u5212\u7b97
\n\u5982\u679c\u5076\u5c14\u5b9e\u9a8c\/\u9879\u76ee\u9a71\u52a8 \u00a0 \u00a0\u2192 \u79df\u8d41\u66f4\u7075\u6d3b<\/p>\n \u5efa\u8bae\u8def\u5f84：<\/p>\n - \n
\u00a0\u5b66\u4e60\/\u5b9e\u9a8c\u9636\u6bb5：AutoDL \u6309\u91cf\u4ed8\u8d39，\u5148\u7528 T4\/V100 \u8c03\u901a\u4ee3\u7801<\/p>\n<\/li>\n - \n
\u00a0\u5f00\u53d1\/\u8fed\u4ee3\u9636\u6bb5：\u81ea\u5efa\u4e00\u53f0 RTX 3090\/4090 \u4e3b\u529b\u673a<\/p>\n<\/li>\n - \n
\u00a0\u751f\u4ea7\u90e8\u7f72\u9636\u6bb5：\u4f01\u4e1a\u4e91\u670d\u52a1（\u963f\u91cc\u4e91\/\u817e\u8baf\u4e91）+ SLA \u4fdd\u969c<\/p>\n<\/li>\n
\n\u7b2c\u5341\u4e00\u7ae0 \u90e8\u7f72\u5de5\u5177\u4e0e\u6846\u67b6\u786c\u4ef6\u9002\u914d<\/h3>\n11.1 \u4e09\u5927\u5de5\u5177\u786c\u4ef6\u6548\u7387\u5bf9\u6bd4<\/h4>\n\n\n\u5de5\u5177<\/p>\n \u63a8\u7406\u901f\u5ea6（8B INT4, RTX 4090）<\/p>\n \u663e\u5b58\u6548\u7387<\/p>\n \u5e76\u53d1\u80fd\u529b<\/p>\n \u9002\u5408<\/p>\n<\/tr>\n \n\n| Ollama（llama.cpp \u540e\u7aef）<\/td>\n | \n 40-55 tok\/s<\/p>\n<\/td>\n | \n \u2b50\u2b50\u2b50 \u4e2d\u7b49<\/p>\n<\/td>\n | \n \u274c \u4e32\u884c\u6392\u961f<\/p>\n<\/td>\n | \n \u4e2a\u4eba\u4f7f\u7528\u3001API \u670d\u52a1<\/p>\n<\/td>\n<\/tr>\n | \n| vLLM<\/td>\n | \n 60-80 tok\/s<\/p>\n<\/td>\n | \n \u2b50\u2b50\u2b50\u2b50\u2b50 \u6700\u9ad8<\/p>\n<\/td>\n | \n \u2705 \u771f\u5e76\u53d1（50-100）<\/p>\n<\/td>\n | \n \u751f\u4ea7\u73af\u5883\u9ad8\u5e76\u53d1<\/p>\n<\/td>\n<\/tr>\n | \n| LM Studio<\/td>\n | \n 35-50 tok\/s<\/p>\n<\/td>\n | \n \u2b50\u2b50 \u8f83\u9ad8\u5f00\u9500<\/p>\n<\/td>\n | \n \u274c \u65e0 API<\/p>\n<\/td>\n | \n \u975e\u6280\u672f\u4eba\u5458\u3001GUI<\/p>\n<\/td>\n<\/tr>\n | \n| MLX-LM<\/p>\n （Mac\u4e13\u7528）<\/p>\n<\/td>\n | \n 45-70 tok\/s（Mac）<\/p>\n<\/td>\n | \n \u2b50\u2b50\u2b50\u2b50 \u9ad8<\/p>\n<\/td>\n | \n \u274c \u5355\u4f1a\u8bdd<\/p>\n<\/td>\n | \n Mac \u6781\u81f4\u901f\u5ea6<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 11.2 \u6846\u67b6\u9009\u578b\u51b3\u7b56<\/h4>\n\u4f60\u662f\u5f00\u53d1\u8005\u5417？
\n\u251c\u2500 \u662f \u2192 \u9700\u8981\u9ad8\u5e76\u53d1\u5417？
\n\u2502 \u00a0 \u00a0 \u00a0\u251c\u2500 \u662f \u2192 vLLM + Docker + NVIDIA GPU
\n\u2502 \u00a0 \u00a0 \u00a0\u2514\u2500 \u5426 \u2192 Ollama（\u4e00\u884c\u547d\u4ee4，OpenAI \u517c\u5bb9 API）
\n\u2514\u2500 \u5426 \u2192 LM Studio（GUI \u64cd\u4f5c，\u70b9\u70b9\u9f20\u6807）<\/p>\n vLLM \u5e76\u53d1\u5b9e\u6d4b（Qwen2.5-1.5B，T4 16GB）：<\/p>\n \n\n\u5e76\u53d1\u6570<\/p>\n KV Cache \u4f7f\u7528\u91cf<\/p>\n Token \u603b\u91cf<\/p>\n<\/tr>\n \n\n| \n 1<\/p>\n<\/td>\n | \n 0.254 GB<\/p>\n<\/td>\n | \n 1 \u4e07<\/p>\n<\/td>\n<\/tr>\n | \n| \n 5<\/p>\n<\/td>\n | \n 1.280 GB<\/p>\n<\/td>\n | \n 5 \u4e07<\/p>\n<\/td>\n<\/tr>\n | \n| \n 10<\/p>\n<\/td>\n | \n 2.572 GB<\/p>\n<\/td>\n | \n 10 \u4e07<\/p>\n<\/td>\n<\/tr>\n | \n| \n 11<\/p>\n<\/td>\n | \n 2.821 GB（\u63a5\u8fd1\u4e0a\u9650）<\/p>\n<\/td>\n | \n 11 \u4e07<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u7ed3\u8bba：vLLM \u7684 PagedAttention \u6280\u672f\u4f7f\u76f8\u540c\u663e\u5b58\u4e0b，\u5e76\u53d1\u80fd\u529b\u6bd4\u4f20\u7edf\u63a8\u7406\u5f3a\u7ea6 6 \u500d\u3002<\/p>\n
\n\u7b2c\u5341\u4e8c\u7ae0 \u663e\u5b58\u4e0d\u8db3\u65f6\u7684\u4f18\u5316\u7b56\u7565<\/h3>\n12.1 \u4f18\u5148\u7ea7\u6392\u5e8f<\/h4>\n\n\n\u4f18\u5148\u7ea7<\/p>\n \u7b56\u7565<\/p>\n \u6548\u679c<\/p>\n \u4ee3\u4ef7<\/p>\n<\/tr>\n \n\n| \n 1<\/p>\n<\/td>\n | \u63d0\u9ad8\u91cf\u5316\u7ea7\u522b<\/p>\n （FP16 \u2192 INT4）<\/p>\n<\/td>\n | \n \u663e\u5b58\u964d\u81f3 1\/4<\/p>\n<\/td>\n | \n \u8d28\u91cf\u964d 3-5%<\/p>\n<\/td>\n<\/tr>\n | \n| \n 2<\/p>\n<\/td>\n | \u7f29\u77ed\u4e0a\u4e0b\u6587\u957f\u5ea6<\/p>\n （32K \u2192 8K）<\/p>\n<\/td>\n | \n KV Cache \u51cf\u5c11 75%<\/p>\n<\/td>\n | \n \u957f\u6587\u5206\u6790\u80fd\u529b\u4e0b\u964d<\/p>\n<\/td>\n<\/tr>\n | \n| \n 3<\/p>\n<\/td>\n | GPU \u5c42\u6570\u9650\u5236<\/p>\n （num-gpu-layers）<\/p>\n<\/td>\n | \n \u7528 CPU \u5185\u5b58\u8865\u507f<\/p>\n<\/td>\n | \n \u901f\u5ea6\u964d\u81f3 2-5 tok\/s<\/p>\n<\/td>\n<\/tr>\n | \n| \n 4<\/p>\n<\/td>\n | \u6362\u66f4\u5c0f\u7684\u6a21\u578b<\/p>\n （32B \u2192 14B \u2192 8B）<\/p>\n<\/td>\n | \n \u663e\u8457\u964d\u4f4e\u663e\u5b58<\/p>\n<\/td>\n | \n \u80fd\u529b\u4e0b\u964d<\/p>\n<\/td>\n<\/tr>\n | \n| \n 5<\/p>\n<\/td>\n | \u6362\u7528 vLLM<\/td>\n | \n \u63d0\u5347 20-30% \u663e\u5b58\u6548\u7387<\/p>\n<\/td>\n | \n \u5b66\u4e60\u6210\u672c<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 12.2 GPU Offloading \u5b9e\u6218<\/h4>\n# Ollama \u90e8\u5206\u5c42\u56de\u9000\u5230 CPU \u5185\u5b58
\nollama run qwen3.5:32b –num-gpu-layers 20
\n# \u4ec5\u524d 20 \u5c42\u5728 GPU，\u5176\u4f59\u5728 CPU \u5185\u5b58
\n# \u663e\u5b58\u538b\u529b\u2193，\u4f46\u901f\u5ea6\u65ad\u5d16\u5f0f\u8dcc\u5230 2-5 tok\/s<\/p>\n # vLLM \u9650\u5236 GPU \u663e\u5b58\u4f7f\u7528\u7387
\nvllm serve \/path\/to\/model –gpu-memory-utilization 0.7
\n# \u4ec5\u4f7f\u7528 70% GPU \u663e\u5b58，\u5269\u4f59\u4f9d\u8d56 CPU swap<\/p>\n
\n\u7b2c\u5341\u4e09\u7ae0 \u907f\u5751\u5927\u5168<\/h3>\n13.1 \u663e\u5361\u9009\u8d2d\u907f\u5751<\/h4>\n\n\n\u5751<\/p>\n \u8bf4\u660e<\/p>\n \u907f\u5751\u65b9\u6848<\/p>\n<\/tr>\n \n\n| \n \u274c RTX 4070 Super 12GB<\/p>\n<\/td>\n | \n \u663e\u5b58\u592a\u5c0f，14B \u6a21\u578b\u88c5\u4e0d\u4e0b<\/p>\n<\/td>\n | \n \u52a0\u94b1\u4e0a 3090 24GB \u6216 4060 Ti 16GB<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u274c RTX 4060 8GB<\/p>\n<\/td>\n | \n \u4ec5 8GB，\u53ea\u80fd\u8dd1\u5c0f\u6a21\u578b<\/p>\n<\/td>\n | \n \u81f3\u5c11\u9009 12GB \u7248\u6216 Ti 16GB<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u274c T4 16GB<\/p>\n<\/td>\n | \n \u7b97\u529b 7.5，\u4e0d\u652f\u6301 BF16\/FlashAttention-2<\/p>\n<\/td>\n | \n \u5b81\u9009 RTX 3060 \u4e5f\u4e0d\u9009 T4<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u274c A10 24GB<\/p>\n<\/td>\n | \n \u63a8\u7406\u8bad\u7ec3\u6027\u80fd\u5dee<\/p>\n<\/td>\n | \n \u540c\u9884\u7b97\u9009 RTX 3090<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u274c \u9b54\u6539 2080Ti 22GB<\/p>\n<\/td>\n | \n \u8131\u710a\u3001\u6389\u9a71\u52a8\u3001\u65e0\u4fdd\u4fee<\/p>\n<\/td>\n | \n \u9664\u975e\u52a8\u624b\u80fd\u529b\u6781\u5f3a，\u5426\u5219\u8fdc\u79bb<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u274c \u77ff\u5361\u7ffb\u65b0 4090<\/p>\n<\/td>\n | \n BIOS \u88ab\u5237\u3001\u5bff\u547d\u672a\u77e5<\/p>\n<\/td>\n | \n \u4eac\u4e1c\u81ea\u8425 \/ \u5b98\u65b9\u8ba4\u8bc1\u4e8c\u624b<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u274c AMD \u663e\u5361<\/p>\n<\/td>\n | \n ROCm \u517c\u5bb9\u6027\u5dee，\u65b0\u6a21\u578b\u9996\u53d1\u7528\u4e0d\u4e86<\/p>\n<\/td>\n | \n \u8001\u8001\u5b9e\u5b9e NVIDIA CUDA \u751f\u6001<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u2705 RTX 3090 \u4e8c\u624b<\/p>\n<\/td>\n | \n 24GB + 936GB\/s，\u00a56,000<\/p>\n<\/td>\n | \n \u6027\u4ef7\u6bd4\u4e4b\u738b，\u6ce8\u610f\u9a8c 3DMark \u538b\u529b\u6d4b\u8bd5<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u2705 RTX 5090<\/p>\n<\/td>\n | \n 32GB GDDR7 \u6d88\u8d39\u65d7\u8230<\/p>\n<\/td>\n | \n \u9884\u7b97\u5145\u8db3\u4e00\u6b65\u5230\u4f4d<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 13.2 Mac \u9009\u8d2d\u907f\u5751<\/h4>\n\n\n\u907f\u5751<\/p>\n \u539f\u56e0<\/p>\n<\/tr>\n \n\n| \n \u274c M3 Pro<\/p>\n<\/td>\n | \n \u5e26\u5bbd\u4ece M2 Pro 200GB\/s \u5012\u9000\u5230 150GB\/s<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u274c 24GB \u4ee5\u4e0b\u7edf\u4e00\u5185\u5b58<\/p>\n<\/td>\n | \n 2026 \u5e74\u8fde 32B Q4 \u90fd\u8dd1\u4e0d\u7545<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u274c M4 \u57fa\u7840\u7248<\/p>\n<\/td>\n | \n 16GB \u4ec5\u591f 8B \u6a21\u578b<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u274c Intel Mac<\/p>\n<\/td>\n | \n \u4e0d\u652f\u6301 Metal LLM \u52a0\u901f<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u274c \u95f2\u9c7c\u300c\u7f8e\u7248\u5168\u65b0\u4fbf\u5b9c 30%\u300d<\/p>\n<\/td>\n | \n \u5927\u6982\u7387\u8d34\u724c\u7ffb\u65b0\u6216\u4fdd\u4fee\u5931\u6548<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u2705 M4 Pro 48GB Mac Mini<\/p>\n<\/td>\n | \n \u00a511,999，32B \u672c\u5730 AI \u6700\u4f73\u6027\u4ef7\u6bd4<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u2705 M3 Max 64GB Mac Studio<\/p>\n<\/td>\n | \n \u4e8c\u624b\/\u5b98\u7ffb \u00a515,000-20,000，70B \u5165\u95e8\u751c\u70b9<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 13.3 \u670d\u52a1\u5668\u907f\u5751<\/h4>\n\n\n\u5751<\/p>\n \u5b9e\u4f8b<\/p>\n \u89e3\u51b3\u65b9\u6848<\/p>\n<\/tr>\n \n\n| \n \u53ea\u7b97\u7b97\u529b\u4e0d\u7b97\u663e\u5b58<\/p>\n<\/td>\n | \n \u4e70\u4e86 2\u00d7A100 40GB（\u5171 80GB）\u60f3\u8dd1 70B FP16（\u9700 140GB+80GB \u5f00\u9500）<\/p>\n<\/td>\n | \u5148\u7b97\u663e\u5b58\u9700\u6c42！\u516c\u5f0f\u89c1\u7b2c\u4e8c\u7ae0<\/td>\n<\/tr>\n | \n| \n H100 PCIe \u8fd8\u662f SXM \u5206\u4e0d\u6e05<\/p>\n<\/td>\n | \n PCIe \u7248\u591a\u5361\u901a\u4fe1 32GB\/s，SXM 900GB\/s<\/p>\n<\/td>\n | \n \u591a\u5361\u5fc5\u9009 SXM + NVSwitch<\/p>\n<\/td>\n<\/tr>\n | \n| \n 8 \u5361 \u2260 8x \u901f\u5ea6<\/p>\n<\/td>\n | \n PCIe \u7248 8 \u5361\u52a0\u901f\u6bd4\u4ec5 3.5x<\/p>\n<\/td>\n | \n SXM \u7248\u53ef\u8fbe 6.5x<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u5ffd\u7565\u663e\u5b58\u5e26\u5bbd<\/p>\n<\/td>\n | \n L40S（864GB\/s）\u8dd1 7B \u4ec5 20 tok\/s，\u9884\u671f 100<\/p>\n<\/td>\n | \n \u63a8\u7406\u770b\u5e26\u5bbd，\u4f18\u5148\u9009 HBM \u7cfb\u5217<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u79df\u8d41 GPU \u9884\u7b97\u8d85\u652f<\/p>\n<\/td>\n | \n \u9884\u4f30 3 \u5929\u5b9e\u9645 5 \u5929<\/p>\n<\/td>\n | \n \u8c03\u8bd5\u7528\u4fbf\u5b9c\u5361，\u6b63\u5f0f\u8dd1\u7528\u9ad8\u6027\u80fd\u5361<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\u7b2c\u5341\u56db\u7ae0 \u4e94\u4e2a\u70ed\u95e8\u5b9e\u64cd\u6848\u4f8b<\/h3>\n\u6848\u4f8b 14.1：\u00a56,000 \u6253\u9020 AI \u7f16\u7a0b\u5de5\u4f5c\u7ad9<\/h4>\n\u9700\u6c42：\u7528 RTX 3090 24GB \u642d\u5efa\u672c\u5730\u7f16\u7a0b\u52a9\u624b，\u66ff\u4ee3 GitHub Copilot<\/p>\n \u914d\u7f6e：<\/p>\n # \u7cfb\u7edf：Ubuntu 24.04 + RTX 3090 24GB
\n# \u6846\u67b6：Ollama<\/p>\n # 1. \u90e8\u7f72\u7f16\u7a0b\u4e13\u7528\u6a21\u578b
\nollama pull qwen3.5-coder:32b-q4_K_M<\/p>\n # 2. \u914d\u7f6e VS Code Continue \u6269\u5c55
\n# settings.json:
\n{
\n"models": [{
\n"title":\u00a0"Local Qwen3.5-Coder",
\n"provider":\u00a0"ollama",
\n"model":\u00a0"qwen3.5-coder:32b-q4_K_M"
\n\u00a0 }]
\n}<\/p>\n # 3. Claude Code \u63a5\u5165
\nexport\u00a0ANTHROPIC_BASE_URL="http:\/\/localhost:11434\/v1"
\nexport\u00a0ANTHROPIC_API_KEY="ollama"
\nclaude<\/p>\n \u6548\u679c：32B \u6a21\u578b\u4ee3\u7801\u8865\u5168\u5ef6\u8fdf < 2 \u79d2，\u4e2d\u7b49\u96be\u5ea6 LeetCode \u901a\u8fc7\u7387 31%\u3002<\/p>\n
\n\u6848\u4f8b 14.2：\u53cc 3090 \u8dd1 70B \u6a21\u578b<\/h4>\n\u9700\u6c42：\u5728\u6d88\u8d39\u7ea7\u786c\u4ef6\u4e0a\u4f53\u9a8c GPT-4 \u7ea7\u522b\u80fd\u529b<\/p>\n \u914d\u7f6e：<\/p>\n # \u786c\u4ef6：2\u00d7 RTX 3090 24GB + 1200W \u7535\u6e90
\n# \u7cfb\u7edf：Ubuntu 24.04<\/p>\n # 1. \u786e\u4fdd\u4e24\u5f20\u5361\u578b\u53f7\u76f8\u540c
\nnvidia-smi \u00a0# \u786e\u8ba4\u4e24\u5f20\u90fd\u662f RTX 3090<\/p>\n # 2. \u914d\u7f6e Ollama \u53cc\u5361
\nexport\u00a0OLLAMA_NUM_GPU=2<\/p>\n # 3. \u62c9\u53d6 70B \u91cf\u5316\u6a21\u578b
\nollama pull deepseek-r1:70b-q4_K_M<\/p>\n # 4. \u8fd0\u884c
\nollama run deepseek-r1:70b-q4_K_M<\/p>\n \u6548\u679c：Q4_K_M \u91cf\u5316\u6743\u91cd\u7ea6 40GB（\u6bcf\u5f20\u5361 20GB），\u63a8\u7406\u901f\u5ea6 8-12 tok\/s，\u4e0a\u4e0b\u6587 8K\u3002\u901f\u5ea6\u4e0d\u5feb\u4f46\u8d28\u91cf\u5230\u4f4d\u3002<\/p>\n
\n\u6848\u4f8b 14.3：Mac Mini M4 Pro 48GB \u6253\u9020\u9759\u97f3 AI \u5de5\u4f5c\u7ad9<\/h4>\n\u9700\u6c42：\u5b89\u9759\u7684\u672c\u5730 AI，24\u00d77 \u8fd0\u884c，\u4e0d\u9650\u6d41<\/p>\n \u914d\u7f6e：Mac Mini M4 Pro 48GB + \u5916\u63a5 2TB NVMe \u96f7\u96f3 4 \u786c\u76d8\u76d2<\/p>\n # 1. \u5b89\u88c5 Ollama
\nbrew install ollama<\/p>\n # 2. \u6a21\u578b\u5e38\u9a7b\u5185\u5b58（Agent \u573a\u666f\u5fc5\u5f00）
\nOLLAMA_KEEP_ALIVE=1h ollama serve<\/p>\n # 3. \u62c9\u53d6\u6a21\u578b
\nollama pull qwen3:32b-q4_K_M
\nollama pull llama3.1:8b-q4_K_M \u00a0# \u5feb\u901f\u6a21\u578b\u5907\u7528
\nollama pull nomic-embed-text \u00a0 \u00a0\u00a0# RAG Embedding<\/p>\n # 4. \u56fd\u5185\u52a0\u901f
\nexport\u00a0OLLAMA_REGISTRY="https:\/\/hf-mirror.com"<\/p>\n \u6548\u679c：32B \u6a21\u578b 11 tok\/s，\u6ee1\u8f7d\u529f\u8017 65W，\u9759\u97f3\u65e0\u611f，\u5168\u5e74\u7535\u8d39\u4e0d\u5230 \u00a5300（\u6309 \u00a50.6\/\u5ea6\u7b97）\u3002<\/p>\n
\n\u6848\u4f8b 14.4：\u4f01\u4e1a\u7ea7 RAG \u77e5\u8bc6\u5e93\u65b9\u6848<\/h4>\n\u9700\u6c42：\u642d\u5efa\u4f01\u4e1a\u79c1\u6709\u77e5\u8bc6\u5e93，\u652f\u6301 50 \u4eba\u5e76\u53d1\u67e5\u8be2<\/p>\n \u786c\u4ef6\u65b9\u6848：1\u00d7A100 80GB + 1TB NVMe SSD<\/p>\n # \u67b6\u6784：vLLM (\u63a8\u7406) + LangChain (RAG) + ChromaDB (\u5411\u91cf\u5e93)<\/p>\n # 1. vLLM \u63a8\u7406\u670d\u52a1
\nvllm serve Qwen\/Qwen3.5-32B-Instruct \\\\
\n\u00a0 \u00a0 –max-model-len16384\u00a0\\\\
\n\u00a0 \u00a0 –gpu-memory-utilization\u00a00.85\u00a0\\\\
\n\u00a0 \u00a0 –tensor-parallel-size\u00a01<\/p>\n # 2. Embedding \u6a21\u578b
\n# BGE-M3 \u5360\u7528\u7ea6 2GB，\u9884\u7559\u663e\u5b58<\/p>\n # 3. RAG Pipeline
\nfrom\u00a0langchain_community.vectorstores\u00a0import\u00a0Chroma
\nfrom\u00a0langchain_huggingface\u00a0import\u00a0HuggingFaceEmbeddings<\/p>\n embedding = HuggingFaceEmbeddings(
\n\u00a0 \u00a0 model_name="BAAI\/bge-m3",
\n\u00a0 \u00a0 model_kwargs={"device":\u00a0"cuda"}
\n)<\/p>\n # 4. \u94fe\u5f0f\u8c03\u7528
\nfrom\u00a0langchain.chains\u00a0import\u00a0RetrievalQA
\nqa_chain = RetrievalQA.from_chain_type(
\n\u00a0 \u00a0 llm=vllm_llm,
\n\u00a0 \u00a0 retriever=vector_store.as_retriever()
\n)<\/p>\n \u786c\u4ef6\u9700\u6c42\u603b\u7ed3：32B \u63a8\u7406 22GB + Embedding 2GB + \u5411\u91cf\u5e93\u9884\u7559 16GB + KV Cache + \u5e76\u53d1 = \u5efa\u8bae 80GB \u663e\u5b58\u8d77\u6b65（A100 \u6b63\u597d）\u3002<\/p>\n
\n\u6848\u4f8b 14.5：\u4f4e\u6210\u672c\u670d\u52a1\u5668\u63a8\u7406\u65b9\u6848（H20）<\/h4>\n\u9700\u6c42：\u56fd\u5185\u5408\u89c4\u3001\u9ad8\u6027\u4ef7\u6bd4\u7684 70B \u63a8\u7406\u670d\u52a1<\/p>\n GPU：NVIDIA H20 96GB<\/p>\n # H20 \u6838\u5fc3\u4f18\u52bf：96GB \u5927\u663e\u5b58 + 4TB\/s \u9ad8\u5e26\u5bbd
\n# \u867d\u7136\u7b97\u529b\u4ec5 148 TFLOPS（H100 \u7684 15%），\u4f46\u63a8\u7406\u770b\u5e26\u5bbd<\/p>\n # vLLM \u90e8\u7f72 70B INT4
\nvllm serve deepseek-ai\/DeepSeek-R1-Distill-Qwen-72B \\\\
\n\u00a0 \u00a0 –max-model-len 16384 \\\\
\n\u00a0 \u00a0 –gpu-memory-utilization 0.9 \\\\
\n\u00a0 \u00a0 –max-num-seqs 32<\/p>\n \u6548\u679c：70B INT4 \u5355\u5361 90+ tok\/s，\u652f\u6301 32 \u5e76\u53d1，\u6708\u529f\u8017\u7ea6 \u00a5600\u3002<\/p>\n
\n\u7b2c\u5341\u4e94\u7ae0 FAQ \u5e38\u89c1\u95ee\u9898<\/h3>\nQ1：\u6211\u53ea\u6709 8GB \u663e\u5b58\u7684\u7b14\u8bb0\u672c，\u80fd\u8dd1\u5927\u6a21\u578b\u5417？<\/h4>\n\u80fd，\u4f46\u9700\u63a5\u53d7\u9650\u5236\u3002RTX 4060 8GB \u63a8\u8350 Ollama + Qwen3-8B Q5（~6.2GB \u663e\u5b58），\u901f\u5ea6 12-18 tok\/s，\u65e5\u5e38\u95ee\u7b54\u548c\u5199\u4ee3\u7801\u591f\u7528\u3002\u60f3\u8dd1 14B \u9700\u8981 16GB \u663e\u5b58\u3002\u5982\u679c\u53ea\u6709\u6838\u663e，\u8bd5\u8bd5 Phi-4-mini\u3002<\/p>\n Q2：32B INT4 \u548c 70B INT4 \u9009\u54ea\u4e2a？<\/h4>\n\u5982\u679c\u53ea\u6709 24GB \u663e\u5b58，\u53ea\u80fd\u9009 32B\u300232B INT4（Q4_K_M）\u5728 MMLU-Pro \u4e0a\u5f97\u5206\u63a5\u8fd1 GPT-4o-mini，\u7ffb\u8bd1\u8d28\u91cf\u4e0e GPT-4o \u4ec5\u5dee 3 \u5904\u63aa\u8f9e\u300270B \u9700\u8981 48GB+ \u663e\u5b58（\u53cc\u5361\u6216\u670d\u52a1\u5668），\u4f46\u5728\u591a\u4e2a\u4efb\u52a1\u4e0a\u6709\u663e\u8457\u8d28\u91cf\u63d0\u5347\u3002\u5b81\u53ef 32B Q5 \u4e5f\u4e0d 70B Q2\u3002<\/p>\n Q3：\u4e3a\u4ec0\u4e48\u6211\u7684 RTX 4090 \u8dd1 32B \u6a21\u578b\u53ea\u6709 10 tok\/s？<\/h4>\n\u53ef\u80fd\u662f CUDA \u7248\u672c\u95ee\u9898\u3002\u5b9e\u6d4b CUDA 11.8 \u4e0b Qwen3-8B \u4ec5 8 tok\/s，\u5347\u7ea7\u5230\u00a0CUDA 12.4+\u00a0\u901f\u5ea6\u7ffb\u500d\u81f3 16 tok\/s\u300232B \u6a21\u578b\u9700\u786e\u8ba4\u4f7f\u7528\u4e86 Flash Attention \u548c\u6b63\u786e\u7684 GPU \u5c42\u6570\u3002<\/p>\n Q4：Mac \u548c NVIDIA \u54ea\u4e2a\u66f4\u9002\u5408\u672c\u5730\u8dd1\u5927\u6a21\u578b？<\/h4>\n\n- \n
\u00a0\u8981\u901f\u5ea6（40+ tok\/s \u8dd1 32B）\u2192 NVIDIA RTX 4090<\/p>\n<\/li>\n - \n
\u00a0\u8981\u5b89\u9759（0 \u566a\u97f3 24\u00d77）\u2192 Mac Studio<\/p>\n<\/li>\n - \n
\u00a0\u8981\u8dd1\u8d85\u5927\u6a21\u578b（100B+）\u2192 Mac 128GB \u7edf\u4e00\u5185\u5b58<\/p>\n<\/li>\n - \n
\u00a0\u8981\u51fa\u56fe（Stable Diffusion\u3001Flux）\u2192 NVIDIA 4090<\/p>\n<\/li>\n<\/ul>\n Q5：\u53cc GPU \u578b\u53f7\u4e0d\u540c\u80fd\u4e00\u8d77\u7528\u5417？<\/h4>\nOllama \u4e0d\u652f\u6301\u5f02\u6784\u591a\u5361，\u8981\u6c42\u4e24\u5f20\u5361\u578b\u53f7\u5b8c\u5168\u76f8\u540c（\u5982\u4e24\u5f20 RTX 3090）\u3002vLLM \u53ef\u901a\u8fc7\u5f20\u91cf\u5e76\u884c\u652f\u6301\u540c\u4ee3\u540c\u67b6\u6784\u7684 GPU，\u4f46\u4e0d\u80fd NVIDIA + AMD \u6df7\u642d\u3002<\/p>\n Q6：AMD \u663e\u5361\u80fd\u7528\u5417？<\/h4>\n\u7406\u8bba\u4e0a\u901a\u8fc7 ROCm \u6846\u67b6\u652f\u6301，\u4f46\u5b9e\u9645\u4e0a：<\/p>\n \n- \n
\u00a0\u6027\u80fd\u6253\u516b\u6298（\u517c\u5bb9\u5c42\u7ffb\u8bd1\u635f\u8017）<\/p>\n<\/li>\n - \n
\u00a0\u65b0\u6a21\u578b\u9996\u53d1\u7ecf\u5e38\u4e0d\u652f\u6301<\/p>\n<\/li>\n - \n
\u00a0\u62a5\u9519\u53ef\u80fd\u662f\u5e95\u5c42\u7f16\u8bd1\u95ee\u9898，\u793e\u533a\u7b54\u6848\u5c11<\/p>\n<\/li>\n - \n
\u00a0\u7ed3\u8bba：2026 \u5e74\u4e0d\u5efa\u8bae AMD \u663e\u5361\u8dd1\u5927\u6a21\u578b<\/p>\n<\/li>\n<\/ul>\n Q7：\u91cf\u5316\u6a21\u578b\u8d28\u91cf\u635f\u5931\u5230\u5e95\u6709\u591a\u5927？<\/h4>\n\n\n\u91cf\u5316<\/p>\n \u538b\u7f29\u6bd4<\/p>\n \u8d28\u91cf\u635f\u5931<\/p>\n \u63a8\u8350\u573a\u666f<\/p>\n<\/tr>\n \n\n| \n Q8（8\u4f4d）<\/p>\n<\/td>\n | \n ~50%<\/p>\n<\/td>\n | \n <1% \u51e0\u4e4e\u65e0\u635f<\/p>\n<\/td>\n | \n \u663e\u5b58\u5145\u8db3\u7684\u65d7\u8230\u5361<\/p>\n<\/td>\n<\/tr>\n | \n| \n Q5_K_M<\/p>\n<\/td>\n | \n ~65%<\/p>\n<\/td>\n | \n 1-3% \u8f7b\u5fae<\/p>\n<\/td>\n | \u9996\u9009，\u6027\u4ef7\u6bd4\u6700\u4f18<\/td>\n<\/tr>\n | \n| \n Q4_K_M<\/p>\n<\/td>\n | \n ~75%<\/p>\n<\/td>\n | \n 3-5% \u4e2d\u7b49<\/p>\n<\/td>\n | \n \u663e\u5b58\u7d27\u5f20\u65f6\u4f7f\u7528<\/p>\n<\/td>\n<\/tr>\n | \n| \n Q3_K_M<\/p>\n<\/td>\n | \n ~80%<\/p>\n<\/td>\n | \n 5-10% \u660e\u663e<\/p>\n<\/td>\n | \n \u6781\u5ea6\u7d27\u5f20，\u4e0d\u63a8\u8350<\/p>\n<\/td>\n<\/tr>\n | \n| \n Q2_K<\/p>\n<\/td>\n | \n ~85%<\/p>\n<\/td>\n | \n 10-20% \u4e25\u91cd<\/p>\n<\/td>\n | \n \u4ec5\u6d4b\u8bd5\u7528<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u9ec4\u91d1\u6cd5\u5219：\u80fd\u7528 Q5 \u5c31\u7528 Q5，\u5b81\u53ef\u8dd1\u5c0f\u6a21\u578b\u9ad8\u91cf\u5316，\u4e0d\u8981\u8dd1\u5927\u6a21\u578b\u4f4e\u91cf\u5316\u300270B Q2 \u6548\u679c\u53cd\u4e0d\u5982 32B Q5\u3002<\/p>\n
\n\u7b2c\u5341\u516d\u7ae0 \u9009\u578b\u51b3\u7b56\u6811<\/h3>\n\u4f60\u7684\u9884\u7b97\u548c\u573a\u666f\u662f\u4ec0\u4e48？
\n\u2502
\n\u251c\u2500 \u00a50（\u5df2\u6709\u7535\u8111）
\n\u2502 \u00a0\u251c\u2500 \u6709 8GB+ NVIDIA \u663e\u5361 \u2192 Ollama + Qwen3-8B Q5
\n\u2502 \u00a0\u251c\u2500 \u6709 16GB Mac \u2192 Ollama + Qwen3-8B Q4
\n\u2502 \u00a0\u2514\u2500 \u90fd\u6ca1\u6709\u72ec\u663e \u2192 CPU \u63a8\u7406 Qwen3.5-0.8B \u4f53\u9a8c \/ \u76f4\u63a5\u7528\u4e91\u7aef API
\n\u2502
\n\u251c\u2500 \u00a54,000-8,000 \u9884\u7b97
\n\u2502 \u00a0\u251c\u2500 \u5168\u65b0\u65b9\u6848 \u2192 RTX 4060 Ti 16GB + Qwen3-14B Q4（\u7f16\u7a0b\/\u95ee\u7b54\u4f73）
\n\u2502 \u00a0\u251c\u2500 \u4e8c\u624b\u65b9\u6848 \u2192 RTX 3060 12GB + Qwen3-8B Q5（\u5165\u95e8\u591f\u7528）
\n\u2502 \u00a0\u2514\u2500 Mac \u65b9\u6848 \u2192 \u4e8c\u624b M1 Pro 16GB MacBook（\u4ec5 8B \u6a21\u578b）
\n\u2502
\n\u251c\u2500 \u00a510,000-18,000 \u9884\u7b97 \u2b50 \u751c\u70b9
\n\u2502 \u00a0\u251c\u2500 \u8ffd\u6c42\u6781\u9650\u901f\u5ea6 \u2192 RTX 4090 \u4e8c\u624b + Qwen3.5-32B Q4
\n\u2502 \u00a0\u251c\u2500 \u6027\u4ef7\u6bd4\u6700\u4f18 \u2192 RTX 3090 \u4e8c\u624b + Qwen3.5-32B Q4
\n\u2502 \u00a0\u251c\u2500 Mac \u9759\u97f3\u65b9\u6848 \u2192 Mac Mini M4 Pro 48GB + Qwen3-32B Q4
\n\u2502 \u00a0\u2514\u2500 70B \u5165\u95e8 \u2192 \u53cc RTX 3090 48GB + DeepSeek-R1-70B Q4
\n\u2502
\n\u251c\u2500 \u00a525,000-40,000 \u9884\u7b97
\n\u2502 \u00a0\u251c\u2500 \u6d88\u8d39\u7ea7\u6700\u5f3a \u2192 RTX 5090 32GB + Qwen3.5-32B \u5168\u7cbe\u5ea6
\n\u2502 \u00a0\u251c\u2500 70B \u751f\u4ea7\u7ea7 \u2192 \u53cc RTX 4090 48GB + Qwen3.5-72B Q4
\n\u2502 \u00a0\u2514\u2500 Mac \u5168\u529f\u80fd \u2192 Mac Studio M3 Max 128GB + \u4efb\u610f\u6a21\u578b
\n\u2502
\n\u2514\u2500 \u4f01\u4e1a\u7ea7（\u00a510 \u4e07+）
\n\u00a0 \u00a0\u251c\u2500 32B \u63a8\u7406\u670d\u52a1 \u2192 1\u00d7H20 96GB \u6216 2\u00d7A100 80GB
\n\u00a0 \u00a0\u251c\u2500 70B \u63a8\u7406\u670d\u52a1 \u2192 4\u00d7A100 80GB \u6216 2\u00d7H100 SXM
\n\u00a0 \u00a0\u251c\u2500 7B-13B \u8bad\u7ec3 \u2192 2\u00d7A100 80GB \u6216 4\u00d7RTX 4090
\n\u00a0 \u00a0\u2514\u2500 \u5343\u4ebf\u63a8\u7406 \u2192 8\u00d7H200 \/ 8\u00d7H100 SXM<\/p>\n
\n\u7b2c\u5341\u4e03\u7ae0 \u603b\u7ed3\u4e0e\u6700\u4f73\u5b9e\u8df5<\/h3>\n17.1 \u56db\u53e5\u8bdd\u9009\u5bf9\u914d\u7f6e<\/h4>\n- \n
\u00a0\u663e\u5b58\u662f\u7b2c\u4e00\u6307\u6807：\u5b81\u9009\u5927\u663e\u5b58\u7684\u4f4e\u7aef\u5361（RTX 4060 Ti 16GB），\u4e0d\u9009\u5c0f\u663e\u5b58\u7684\u9ad8\u7aef\u5361（RTX 4070 Super 12GB）<\/p>\n<\/li>\n - \n
\u00a024GB \u662f\u6d88\u8d39\u7ea7\u751c\u70b9\u4f4d：RTX 3090\/4090 \u7684 24GB \u80fd\u8986\u76d6 90% \u7684\u672c\u5730\u90e8\u7f72\u9700\u6c42<\/p>\n<\/li>\n - \n
\u00a032B \u6a21\u578b\u662f\u5bb6\u7528\u5929\u82b1\u677f：Qwen3.5-32B\u3001DeepSeek-R1-32B \u80fd\u529b\u63a5\u8fd1 GPT-4，24GB \u663e\u5b58\u6070\u597d\u88c5\u4e0b<\/p>\n<\/li>\n - \n
\u00a02026 \u5e74\u5185\u5b58\u57fa\u7ebf\u662f 32GB，\u63a8\u8350 64GB\u2014\u2014\u6a21\u578b\u52a0\u8f7d\u65f6\u7cfb\u7edf\u5185\u5b58\u4e0d\u8db3\u4f1a\u9891\u7e41 swap，\u901f\u5ea6\u65ad\u5d16\u5f0f\u4e0b\u8dcc<\/p>\n<\/li>\n 17.2 \u6838\u5fc3\u6570\u636e\u901f\u8bb0<\/h4>\n\u663e\u5b58\u4f30\u7b97：\u53c2\u6570(B) \u00d7 \u7cbe\u5ea6\u5b57\u8282 \u00d7 1.2
\n\u63a8\u7406\u74f6\u9888：\u663e\u5b58\u5e26\u5bbd（\u9996\u770b GB\/s）
\n\u8bad\u7ec3\u74f6\u9888：TFLOPS（\u9996\u770b\u7b97\u529b）
\n\u91cf\u5316\u9996\u9009：Q5_K_M（\u6027\u4ef7\u6bd4\u6700\u4f18）
\n\u6d88\u8d39\u751c\u70b9：RTX 3090 24GB \u4e8c\u624b \u00a56,000
\nMac \u751c\u70b9：M4 Pro 48GB \u00a511,999
\n\u670d\u52a1\u5668\u63a8\u7406：H20 96GB \u56fd\u5185\u5408\u89c4 + \u9ad8\u6027\u4ef7\u6bd4
\n\u670d\u52a1\u5668\u8bad\u7ec3：H100 SXM + NVSwitch<\/p>\n","protected":false},"excerpt":{"rendered":" \u7b2c\u4e00\u7ae0 \u6838\u5fc3\u8ba4\u77e5：\u5927\u6a21\u578b\u786c\u4ef6\u9009\u578b\u7684\u5e95\u5c42\u903b\u8f911.1 \u4e09\u4e2a\u94c1\u5f8b\u94c1\u5f8b\u4e00：\u663e\u5b58\u662f\u7b2c\u4e00\u751f\u4ea7\u529b\u3002\u00a0\u663e\u5b58\u4e0d\u591f，\u7b97\u529b\u518d\u5f3a\u4e5f\u52a0\u8f7d\u4e0d\u4e86\u6a21\u578b\u3002\u5b81\u9009\u5927\u663e\u5b58\u7684\u4f4e\u7aef\u5361（RTX 4060 Ti 16GB），\u4e0d\u9009\u5c0f\u663e\u5b58\u7684\u9ad8\u7aef\u5361（RTX 4070 Super 12GB）\u2014\u2014\u540e\u8005\u6839\u672c\u52a0\u8f7d\u4e0d\u8fdb\u53bb\u3002\u94c1\u5f8b\u4e8c：\u63a8\u7406\u770b\u5e26\u5bbd，\u8bad\u7ec3\u770b\u7b97\u529b\u3002\u00a0\u63a8\u7406\u662f\u300c\u8bbf\u5b58\u5bc6\u96c6\u300d\u4efb\u52a1，\u6bcf\u751f\u6210\u4e00<\/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":[9131,50,132,43,44],"topic":[],"class_list":["post-81688","post","type-post","status-publish","format-standard","hentry","category-server","tag-9131","tag-50","tag-132","tag-43","tag-44"],"yoast_head":"\n \u4e3b\u6d41\u5927\u6a21\u578b\u786c\u4ef6\u9002\u914d\u5bf9\u7167\u8868\uff08\u6d88\u8d39\u7ea7 \/ \u670d\u52a1\u5668\u901a\u7528\uff09\u5b8c\u6574\u6559\u7a0b - 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