RAG \u6280\u672f\u6808\u4e2d\u7684 GPU \u663e\u5b58\u5206\u914d<\/strong><\/h2>\n

\u4f60\u7684 RAG \u6280\u672f\u6808\u4f1a\u628a GPU \u663e\u5b58\u5728\u4e09\u4e2a\u90e8\u5206\u4e4b\u95f4\u8fdb\u884c\u5212\u5206\u3002\u5176\u4e2d\u6709\u4e24\u4e2a\u90e8\u5206\u5728 2026 \u5e74\u7684\u4f53\u91cf\u51fa\u4e4e\u610f\u6599\u5730\u5c0f\uff1a\u5d4c\u5165\u6a21\u578b\u548c\u5411\u91cf\u7d22\u5f15\u52a0\u5728\u4e00\u8d77\uff0c\u5f80\u5f80\u4e0d\u5230 2 GB\u3002\u8fd9\u6837\u4f60\u5c31\u53ef\u4ee5\u628a\u4f59\u4e0b\u7684\u5927\u90e8\u5206\u663e\u5b58\u7559\u7ed9 LLM\u3002<\/p>\n

\u5d4c\u5165\u6a21\u578b\u7684\u663e\u5b58\u5360\u7528<\/h3>\n

\u5c06\u5d4c\u5165\u6a21\u578b\u4e0e LLM \u90e8\u7f72\u5728\u540c\u4e00\u5f20 GPU \u4e0a\uff0c\u5728\u4eca\u5929\u901a\u5e38\u53ea\u9700\u8981 1\u201314 GB \u663e\u5b58\u3002\u65e7\u7248\u6307\u5357\u7ed9\u51fa\u7684 2\u20138 GB \u4f30\u8ba1\u5df2\u7ecf\u4e0d\u518d\u51c6\u786e\u3002\u73b0\u4ee3\u5d4c\u5165\u6a21\u578b\u662f\u7d27\u51d1\u7684\u7f16\u7801\u5668\uff0c\u4f60\u901a\u5e38\u4f1a\u4ee5 FP16 \u6216 INT8 \u7cbe\u5ea6\u8fd0\u884c\u5b83\u4eec\u3002\u5d4c\u5165\u6a21\u578b\u4e0e\u68c0\u7d22\u6d41\u6c34\u7ebf\u5171\u4eab\u4e0a\u4e0b\u6587\uff0c\u56e0\u6b64\u4e0d\u9700\u8981\u4e3a\u5176\u5355\u72ec\u5212\u51fa\u4e00\u5927\u5757\u663e\u5b58\u3002\u5b83\u6240\u4ea7\u751f\u7684\u5355\u6761\u5d4c\u5165\u5411\u91cf\u5f88\u5c0f\uff0c\u800c\u6a21\u578b\u672c\u8eab\u5e38\u9a7b\u663e\u5b58\uff0c\u4e0d\u4f1a\u6fc0\u70c8\u6324\u5360\u7a7a\u95f4\u3002<\/p>\n

\u5411\u91cf\u7d22\u5f15\u7684\u663e\u5b58\u5360\u7528<\/h3>\n

\u5411\u91cf\u7d22\u5f15\u7684\u663e\u5b58\u4f7f\u7528\u4f1a\u968f\u8bed\u6599\u89c4\u6a21\u7ebf\u6027\u589e\u957f\u3002\u4e00\u4e2a\u5b9e\u7528\u7684\u7ecf\u9a8c\u503c\u662f\uff1a\u5728 768 \u7ef4\u5d4c\u5165\u4e0b\uff0c\u6bcf 100 \u4e07\u6761\u5411\u91cf\u5927\u7ea6\u9700\u8981 3 GB \u663e\u5b58\u3002\u4f60\u7684 GPU \u52a0\u901f\u7d22\u5f15\u5c06\u8fd9\u4e9b\u5411\u91cf\u5e38\u9a7b GPU\uff0c\u4ee5\u652f\u6491\u5feb\u901f\u68c0\u7d22\u3002\u5728\u8fd9\u91cc\uff0c\u662f\u5426\u5c06\u7d22\u5f15\u5e38\u9a7b GPU\uff0c\u8fd8\u662f\u90e8\u5206\u6216\u5168\u90e8\u4e0b\u653e\u5230 CPU\uff0c\u4f1a\u5f62\u6210\u91cd\u8981\u7684\u6027\u80fd\u6743\u8861\u3002<\/p>\n

\n\n\n\n\n<\/colgroup>\n\n\n\n\n\n

\u7ef4\u5ea6<\/th>\n	GPU \u4fa7\u7d22\u5f15<\/th>\n	CPU \u4fa7\u7d22\u5f15<\/th>\n<\/tr>\n
\u68c0\u7d22\u5ef6\u8fdf<\/td>\n	GPU \u52a0\u901f\u7684 IVF \u68c0\u7d22\u6bd4\u9ad8\u901f CPU \u626b\u63cf\u65b9\u6cd5\u5feb\u8fd1\u4e00\u4e2a\u6570\u91cf\u7ea7<\/td>\n	CPU \u68c0\u7d22\u8017\u65f6\u53ef\u80fd\u662f LLM \u9884\u586b\u9636\u6bb5\u7684 2 \u500d\uff0c\u5c06 TTFT \u4ece 197ms \u62c9\u9ad8\u5230 606ms<\/td>\n<\/tr>\n
\u663e\u5b58\u538b\u529b<\/td>\n	\u7d22\u5f15\u8981\u4e0e LLM \u7684 KV Cache \u548c\u6a21\u578b\u6743\u91cd\u7ade\u4e89\u663e\u5b58<\/td>\n	\u91ca\u653e GPU \u663e\u5b58\u7ed9 LLM \u63a8\u7406\u4f7f\u7528\uff0c\u4f46 CPU \u5185\u5b58\u9700\u5bb9\u7eb3\u5b8c\u6574\u7d22\u5f15<\/td>\n<\/tr>\n
LLM \u541e\u5410\u91cf<\/td>\n	KV Cache \u7a7a\u95f4\u4e0d\u8db3\u4f1a\u76f4\u63a5\u62d6\u7d2f LLM \u541e\u5410\u91cf<\/td>\n	\u4e0d\u5b58\u5728 GPU \u4e89\u7528\uff0c\u4f46\u7f13\u6162\u7684\u68c0\u7d22\u4f1a\u6210\u4e3a\u751f\u6210\u74f6\u9888<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \u8bbf\u95ee\u6a21\u5f0f\u5f80\u5f80\u9ad8\u5ea6\u504f\u659c\uff1a\u6700\u70ed\u7684 20% \u805a\u7c7b\uff0c\u627f\u62c5\u4e86\u7ea6 60% \u7684 Wiki-All \u8bbf\u95ee\u91cf\uff0c\u4ee5\u53ca\u8d85\u8fc7 93% \u7684 ORCAS \u8bbf\u95ee\u91cf\u3002\u5206\u5c42\u8bbe\u8ba1\u4f1a\u5c06\u70ed\u70b9\u805a\u7c7b\u7f13\u5b58\u5728 GPU\uff0c\u51b7\u6570\u636e\u5219\u653e\u5728 CPU\u3002\u81ea\u9002\u5e94\u5206\u533a\u7b56\u7565\u53ef\u4ee5\u627e\u5230\u4e00\u4e2a\u6700\u4f18\u5206\u754c\u70b9\uff0c\u4f8b\u5982\u5728 400ms SLO \u4e0b\u9009\u62e9\u7ea6 31.5% \u7684 GPU \u5e38\u9a7b\u6bd4\u4f8b\u3002\u8fd9\u6837\u7684\u5e73\u8861\u65e2\u80fd\u4fdd\u6301 LLM \u751f\u6210\u6027\u80fd\uff0c\u53c8\u80fd\u5c06\u5728 SLO \u7ea6\u675f\u4e0b\u7684\u541e\u5410\u91cf\u63d0\u5347\u5230 1.5 \u500d\u3002\u53ea\u8981\u628a\u8fd9\u4e24\u4e2a\u6d88\u8d39\u8005\u4fdd\u6301\u5f97\u8db3\u591f\u7cbe\u7b80\uff0c\u4f60\u7684 Token \u548c KV Cache \u5c31\u80fd\u62e5\u6709\u8db3\u591f\u7684\u7a7a\u95f4\u3002<\/p>\n RAG \u4e2d\u7684 LLM \u63a8\u7406\u4e0e KV Cache<\/strong><\/h2>\n LLM \u63a8\u7406\u5f15\u64ce\u4f1a\u6d88\u8017\u4f60\u7edd\u5927\u591a\u6570\u7684 GPU \u663e\u5b58\u9884\u7b97\u3002\u8fd9\u90e8\u5206\u53ef\u4ee5\u62c6\u5206\u4e3a\u4e24\u7c7b\uff1a\u6a21\u578b\u6743\u91cd\u548c KV Cache\u3002\u7406\u89e3\u5b83\u4eec\u5404\u81ea\u7684\u6269\u5c55\u65b9\u5f0f\uff0c\u53ef\u4ee5\u8ba9\u4f60\u6839\u636e\u76ee\u6807\u5e76\u53d1\u6570\u548c\u4e0a\u4e0b\u6587\u957f\u5ea6\u6765\u5408\u7406\u89c4\u5212\u786c\u4ef6\u3002<\/p>\n \u6309\u89c4\u6a21\u5212\u5206\u7684\u6a21\u578b\u6743\u91cd<\/h3>\n \u4f60\u9009\u62e9\u7684\u6a21\u578b\u51b3\u5b9a\u4e86\u57fa\u7840\u663e\u5b58\u9700\u6c42\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u91cf\u5316\u6765\u7f29\u5c0f\u6a21\u578b\u4f53\u79ef\u3002\u4e0b\u8868\u5c55\u793a\u4e86 Llama 3.3 70B \u8fd9\u4e00\u5728\u751f\u4ea7 RAG \u5806\u6808\u4e2d\u975e\u5e38\u6d41\u884c\u7684\u6a21\u578b\uff0c\u5728\u4e0d\u540c\u91cf\u5316\u8bbe\u7f6e\u4e0b\u7684\u663e\u5b58\u8303\u56f4\u3002<\/p>\n \n\n\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n \u91cf\u5316\u65b9\u5f0f<\/th>\n \u603b\u663e\u5b58\u5360\u7528\uff08Llama 3.3 70B\uff09<\/th>\n \u76f8\u5bf9 FP16 \u7684\u8d28\u91cf<\/th>\n<\/tr>\n FP16\uff08\u5168\u7cbe\u5ea6\uff09<\/td>\n \u7ea6 144 GB<\/td>\n 100%\uff08\u57fa\u51c6\uff09<\/td>\n<\/tr>\n FP8 \/ Q8<\/td>\n \u7ea6 78 GB<\/td>\n 99%<\/td>\n<\/tr>\n Q6_K<\/td>\n \u7ea6 60 GB<\/td>\n 98%<\/td>\n<\/tr>\n Q5_K_M<\/td>\n \u7ea6 52 GB<\/td>\n 96%<\/td>\n<\/tr>\n Q4_K_M\uff08\u6700\u5e38\u7528\uff09<\/td>\n \u7ea6 46 GB<\/td>\n 93%<\/td>\n<\/tr>\n Q3_K_M<\/td>\n \u7ea6 37 GB<\/td>\n 85%\uff08\u8d28\u91cf\u4e0b\u964d\u660e\u663e\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \u53ef\u4ee5\u770b\u5230\uff0c\u5355\u5f20 80 GB \u663e\u5b58\u7684 GPU\uff08\u4f8b\u5982 H100\uff09\u8db3\u4ee5\u8f7b\u677e\u5bb9\u7eb3 Q4_K_M \u91cf\u5316\u7248\u672c\uff0c\u540c\u65f6\u8fd8\u80fd\u7559\u51fa\u7a7a\u95f4\u7ed9\u5176\u5b83\u7ec4\u4ef6\u3002Q3_K_M \u7248\u672c\u53ef\u4ee5\u88c5\u5165 L40S 48 GB\uff0c\u4f46\u8d28\u91cf\u4e0b\u6ed1\u4f1a\u975e\u5e38\u660e\u663e\uff0c\u56e0\u6b64\u4e0d\u5efa\u8bae\u5728\u9ad8\u8981\u6c42\u7684\u68c0\u7d22\u4efb\u52a1\u4e2d\u4f7f\u7528 Q3_K_M\u3002\u66f4\u5c0f\u7684\u6a21\u578b\uff0c\u4f8b\u5982 Qwen3-8B\uff0c\u5728 FP16 \u4e0b\u901a\u5e38\u53ea\u9700\u8981 16 GB\uff1b\u5176 INT4 \u91cf\u5316\u7248\u672c\u4ec5\u9700 4\u20135 GB\uff0c\u975e\u5e38\u9002\u5408\u4f5c\u4e3a\u4f4e\u6210\u672c\u7684\u5d4c\u5165 + \u751f\u6210\u4e00\u4f53\u5316\u65b9\u6848\u3002<\/p>\n KV Cache \u4e0e\u5e76\u53d1<\/h3>\n \u6a21\u578b\u6743\u91cd\u662f\u9759\u6001\u7684\uff0c\u800c KV Cache \u4f1a\u968f\u7740\u6bcf\u4e2a\u6d3b\u52a8\u4f1a\u8bdd\u7684\u589e\u957f\u800c\u52a8\u6001\u6269\u5f20\u3002\u4f60\u5fc5\u987b\u628a\u8fd9\u4e00\u53d8\u91cf\u8003\u8651\u8fdb\u53bb\uff0c\u624d\u80fd\u5728\u9ad8\u5cf0\u8d1f\u8f7d\u4e0b\u907f\u514d\u663e\u5b58 OOM\u3002<\/p>\n KV Cache \u603b\u663e\u5b58\u7684\u516c\u5f0f\u5176\u5b9e\u5f88\u76f4\u63a5\uff1a<\/p>\n Total KV cache bytes = 2 \u00d7 num_layers \u00d7 num_key_value_heads \u00d7 head_dim \u00d7 cached_tokens \u00d7 active_sequences \u00d7 bytes_per_element<\/p>\n \u5176\u4e2d 2 \u8fd9\u4e2a\u7cfb\u6570\uff0c\u6765\u81ea\u4e8e Key \u4e0e Value \u5f20\u91cf\u9700\u8981\u5206\u522b\u5b58\u50a8\u7684\u4e8b\u5b9e\u3002\u4ee5\u4e0a\u6587\u63d0\u5230\u7684 42 GB \u57fa\u7ebf\u4e3a\u4f8b\uff0c\u5728 50 \u4e2a\u5e76\u53d1\u4ee3\u7406\u7684\u573a\u666f\u4e0b\uff0c\u5927\u7ea6\u4f1a\u628a\u5176\u4e2d 38 GB \u5206\u914d\u7ed9 KV Cache\u3002\u5047\u8bbe\u4f60\u4f7f\u7528\u4e00\u4e2a 32 \u5c42\u30018 \u4e2a KV \u5934\u3001Head \u7ef4\u5ea6\u4e3a 128\u3001\u7f13\u5b58 8,000 \u4e2a Token \u7684 LLM\uff0c\u90a3\u4e48\u6bcf\u4e2a\u5e8f\u5217\u7684\u6bcf\u4e2a Token \u5927\u7ea6\u4f1a\u5360\u7528 64 KB\u3002\u5c06\u5176\u4e58\u4ee5 50 \u4e2a\u4ee3\u7406\uff0c\u4f1a\u5728\u4efb\u4f55\u586b\u5145\u6216\u6279\u5904\u7406\u5f00\u9500\u4e4b\u524d\uff0c\u5c31\u5f97\u5230 25 GB \u4ee5\u4e0a\u7684 Cache \u4f53\u91cf\u3002<\/p>\n \u5f53\u4f60\u8ba1\u5212\u652f\u6491 200 \u4e2a\u5e76\u53d1\u7528\u6237\u65f6\uff0c\u5373\u4f7f\u662f 7B \u53c2\u6570\u7684\u6a21\u578b\uff0c\u5176 KV Cache \u4e5f\u53ef\u80fd\u8f7b\u677e\u7a81\u7834 100 GB\uff0c\u8fd9\u4f1a\u628a\u4f60\u63a8\u5411\u591a GPU \u8282\u70b9\u3002\u6b64\u65f6\u5fc5\u987b\u8fdb\u884c\u591a\u5361\u5206\u5e03\u5f0f\u90e8\u7f72\uff0c\u4e0d\u53ef\u80fd\u518d\u628a\u6240\u6709\u5185\u5bb9\u90fd\u585e\u8fdb\u4e00\u5f20\u5361\u91cc\u3002\u540c\u65f6\u4f60\u8fd8\u8981\u8bb0\u4f4f\uff0c\u5171\u5740\u7684\u5d4c\u5165\u6a21\u578b\u4e0d\u8fc7\u6d88\u8017 1\u201314 GB \u663e\u5b58\uff0c\u56e0\u6b64\u4e3b\u8981\u7684\u663e\u5b58\u74f6\u9888\u4f9d\u7136\u662f LLM \u7684\u6a21\u578b\u6743\u91cd\u4e0e\u5cf0\u503c\u5e76\u53d1\u4e0b\u7684 KV Cache \u53e0\u52a0\u3002<\/p>\n \u6a21\u578b\u4e0e GPU \u663e\u5b58\u7684\u5bf9\u7167\u53c2\u8003\u8868<\/strong><\/h2>\n \u73b0\u5728\u4f60\u5df2\u7ecf\u7406\u89e3\u4e86\u6a21\u578b\u6743\u91cd\u548c KV Cache \u7684\u6269\u5c55\u5173\u7cfb\u3002\u4e0b\u4e00\u6b65\u5c31\u662f\u628a\u5177\u4f53\u6a21\u578b\u6620\u5c04\u5230\u663e\u5b58\u9700\u6c42\u4e0a\u3002\u4e0b\u8868\u5c06 2026 \u5e74\u6700\u5e38\u7528\u7684\u4e00\u4e9b LLM \u9009\u9879\u6c47\u603b\u6210\u4e86\u4e00\u5f20\u53c2\u8003\u8868\u3002\u6240\u6709\u6570\u503c\u90fd\u5df2\u7ecf\u5305\u542b 15% \u7684\u5197\u4f59\u5f00\u9500\uff0c\u4f46\u4e0d\u5305\u542b KV Cache\uff0c\u56e0\u6b64\u4f60\u53ef\u4ee5\u5728\u6b64\u57fa\u7840\u4e0a\u52a0\u4e0a\u81ea\u5df1\u7684\u5e76\u53d1\u7f13\u51b2\u91cf\u3002<\/p>\n 8B\u201370B \u7684\u7a20\u5bc6\u6a21\u578b<\/h3>\n \u7a20\u5bc6\u6a21\u578b\u4ecd\u7136\u662f RAG \u68c0\u7d22\u670d\u52a1\u7684\u9ed8\u8ba4\u9009\u62e9\u3002\u6bcf\u4e2a Token \u90fd\u4f1a\u6fc0\u6d3b\u6240\u6709\u53c2\u6570\uff0c\u56e0\u6b64\u6a21\u578b\u80fd\u529b\u4e0e\u89c4\u6a21\u8fd1\u4f3c\u7ebf\u6027\u76f8\u5173\u3002\u6743\u8861\u4e5f\u5f88\u76f4\u63a5\uff1a\u66f4\u5927\u7684\u6a21\u578b\u9700\u8981\u66f4\u591a GPU \u663e\u5b58\uff0c\u4f46\u80fd\u63d0\u4f9b\u66f4\u5f3a\u7684\u63a8\u7406\u80fd\u529b\u3002<\/p>\n \n\n\n\n\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n\n \u6a21\u578b<\/th>\n FP16<\/th>\n INT8<\/th>\n 4-bit<\/th>\n \u6700\u4f4e GPU \u914d\u7f6e<\/th>\n<\/tr>\n Llama 3.2 3B<\/td>\n 7 GB<\/td>\n 4.5 GB<\/td>\n 2.8 GB<\/td>\n L4 24 GB<\/td>\n<\/tr>\n Llama 3.1 8B<\/td>\n 18 GB<\/td>\n 10 GB<\/td>\n 6.5 GB<\/td>\n L4 24 GB<\/td>\n<\/tr>\n Qwen 2.5 14B<\/td>\n 31 GB<\/td>\n 17 GB<\/td>\n 10.5 GB<\/td>\n L4 24 GB<\/td>\n<\/tr>\n Qwen 2.5 32B<\/td>\n 70 GB<\/td>\n 37 GB<\/td>\n 21 GB<\/td>\n L40S 48 GB<\/td>\n<\/tr>\n Llama 3.1 70B<\/td>\n 150 GB<\/td>\n 78 GB<\/td>\n 44 GB<\/td>\n 2\u00d7 H100 80 GB<\/td>\n<\/tr>\n Qwen 2.5 72B<\/td>\n 155 GB<\/td>\n 80 GB<\/td>\n 46 GB<\/td>\n 2\u00d7 H100 80 GB<\/td>\n<\/tr>\n Mistral Large 123B<\/td>\n 260 GB<\/td>\n 133 GB<\/td>\n 78 GB<\/td>\n H100 80 GB<\/td>\n<\/tr>\n Llama 3.1 405B<\/td>\n 850 GB<\/td>\n 440 GB<\/td>\n 245 GB<\/td>\n 4\u00d7 H100 80 GB<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \u89c4\u5f8b\u975e\u5e38\u6e05\u6670\uff1a4-bit \u91cf\u5316\u5c06\u663e\u5b58\u5360\u7528\u538b\u7f29\u5230 FP16 \u7684\u5927\u7ea6\u4e09\u5206\u4e4b\u4e00\u3002\u8fd9\u6837\u7684\u538b\u7f29\u53ef\u4ee5\u8ba9 70B \u6a21\u578b\u4ece\u539f\u672c\u9700\u8981\u4e24\u5f20 GPU \u7684\u914d\u7f6e\uff0c\u8f6c\u800c\u9002\u914d\u5230\u5355\u5361\u3002\u66f4\u5c0f\u7684\u7a20\u5bc6\u6a21\u578b\uff0c\u4f8b\u5982 Qwen3-8B\uff0c\u5728 FP16 \u4e0b\u53ea\u9700\u8981 16 GB \u663e\u5b58\u3002\u8fd9\u4e9b\u4e2d\u7b49\u89c4\u6a21\u7684\u6a21\u578b\u53ef\u4ee5\u5f88\u8f7b\u677e\u5730\u90e8\u7f72\u5728 L40S 48 GB \u4e0a\uff0c\u5e76\u4e14\u4ecd\u6709\u7a7a\u95f4\u7528\u4e8e\u5d4c\u5165\u6a21\u578b\u548c\u5411\u91cf\u7d22\u5f15\u3002<\/p>\n MoE \u4e0e\u91cf\u5316\u53d8\u4f53<\/h3>\n \u6df7\u5408\u4e13\u5bb6\uff08MoE\uff09\u6a21\u578b\u4f1a\u6539\u53d8\u663e\u5b58\u7684\u8ba1\u7b97\u65b9\u5f0f\u3002MoE \u6a21\u578b\u4f1a\u628a\u6240\u6709\u53c2\u6570\u90fd\u653e\u5728\u5185\u5b58\u4e2d\uff0c\u4f46\u6bcf\u4e2a Token \u53ea\u6fc0\u6d3b\u5176\u4e2d\u4e00\u5c0f\u90e8\u5206\u3002\u4f60\u7684 GPU \u663e\u5b58\u5360\u7528\u66f4\u63a5\u8fd1\u4e8e\u201c\u603b\u53c2\u6570\u91cf\u201d\uff0c\u800c\u4e0d\u662f\u201c\u6bcf\u4e2a Token \u6fc0\u6d3b\u7684\u53c2\u6570\u91cf\u201d\u3002\u56e0\u6b64\uff0c\u4e00\u4e2a 30B \u53c2\u6570\u91cf\u7684 MoE \u6a21\u578b\u548c\u4e00\u4e2a 30B \u7684\u7a20\u5bc6\u6a21\u578b\uff0c\u5927\u81f4\u90fd\u4f1a\u9700\u8981 60 GB \u5de6\u53f3\u7684\u663e\u5b58\u3002\u771f\u6b63\u7684\u533a\u522b\u5728\u4e8e\uff1a\u4f60\u628a\u8fd9\u4e9b GB \u6362\u6210\u4e86\u4ec0\u4e48\u2014\u2014\u7a20\u5bc6\u6a21\u578b\u628a\u5b83\u4eec\u8f6c\u5316\u4e3a\u6a21\u578b\u80fd\u529b\uff0c\u800c MoE \u5219\u628a\u5b83\u4eec\u8f6c\u5316\u4e3a\u541e\u5410\u91cf\u3002<\/p>\n Mixtral 8x7B \u5f88\u597d\u5730\u4f53\u73b0\u4e86\u8fd9\u79cd\u6743\u8861\u3002\u8be5\u6a21\u578b\u603b\u5171\u6709 46.7B \u53c2\u6570\uff0c\u4f46\u6bcf\u4e2a Token \u5b9e\u9645\u53ea\u6fc0\u6d3b\u7ea6 12.9B \u53c2\u6570\u3002\u5728 4-bit \u91cf\u5316\u4e0b\uff0cQ4_K_M \u6784\u5efa\u7248\u672c\u9700\u8981 26.44 GB \u663e\u5b58\uff0c\u6700\u5927 28.94 GB \u5185\u5b58\u3002\u53ea\u8981\u628a\u90e8\u5206\u5c42 Offload \u51fa\u53bb\uff0c\u8fd9\u6837\u7684\u4f53\u91cf\u5c31\u53ef\u4ee5\u5b89\u88c5\u5728\u4e00\u5757 24 GB \u7684 GPU \u4e0a\u3002Mixtral 8x22B \u5219\u5b8c\u5168\u4e0d\u540c\uff0c\u5b83\u62e5\u6709 176B \u603b\u53c2\u6570\uff0c\u663e\u5b58\u9700\u6c42\u8feb\u4f7f\u4f60\u4f7f\u7528\u62e5\u6709 80 GB \u4ee5\u4e0a\u603b\u663e\u5b58\u7684\u591a GPU \u670d\u52a1\u5668\u3002<\/p>\n \u91cf\u5316\u7684 MoE \u53d8\u4f53\u5728\u201c\u6bcf GB \u541e\u5410\u91cf\u201d\u4e0a\u6781\u5177\u4f18\u52bf\u3002\u4ee5 Qwen3.5-35B-A3B MoE \u6a21\u578b\u7684 Q4_K_M \u7248\u672c\u4e3a\u4f8b\uff0c\u5b83\u4ec5\u4f7f\u7528 7.6 GB \u663e\u5b58\uff0c\u5374\u53ef\u4ee5\u8fbe\u5230 8.61 Token\/s \u7684\u751f\u6210\u901f\u5ea6\u3002\u76f8\u540c\u91cf\u5316\u4e0b\uff0c\u4e00\u4e2a\u7a20\u5bc6\u7684 Qwen3.5-27B \u6a21\u578b\u9700\u8981 7.7 GB\uff0c\u5374\u53ea\u80fd\u8fbe\u5230 3.57 Token\/s\u3002\u8be5 MoE \u67b6\u6784\u5728 256 \u4e2a\u4e13\u5bb6\u4e2d\uff0c\u5927\u7ea6\u4f1a\u4e3a\u6bcf\u4e2a Token \u6fc0\u6d3b 3B \u53c2\u6570\uff1b\u540c\u65f6\u53ea\u8def\u7531 8 \u4e2a\u4e13\u5bb6\u518d\u52a0 1 \u4e2a\u5171\u4eab\u4e13\u5bb6\u3002\u8fd9\u6837\u7684\u8bbe\u8ba1\u8ba9 99 \u5c42\u90fd\u80fd\u5728 GPU \u4e0a\u8fd0\u884c\uff0c\u663e\u5b58\u53ea\u9700\u8981 7.6 GB\uff0c\u6bd4\u4e00\u4e2a\u7a20\u5bc6 9B \u6a21\u578b\u4ec5\u591a 0.1 GB\uff0c\u5374\u80fd\u63d0\u4f9b 2.4 \u500d\u7684\u901f\u5ea6\u3002<\/p>\n \u5bf9\u4e8e\u89c4\u6a21\u8f83\u5c0f\u7684\u90e8\u7f72\uff0cMistral 7B \u53ef\u4ee5\u5728\u5355\u5757 8 GB \u6d88\u8d39\u7ea7 GPU \u4e0a\uff0c\u751a\u81f3\u5728\u7b14\u8bb0\u672c CPU \u4e0a\u8fd0\u884c\u3002Mistral NeMo 12B \u5219\u662f\u5355\u5de5\u4f5c\u7ad9\u5361\u4e2d\u89c4\u4e2d\u77e9\u7684\u4e2d\u6863\u9009\u62e9\u3002\u5f53\u8bed\u6599\u4e0e\u5e76\u53d1\u90fd\u4e0d\u7b97\u5e9e\u5927\u65f6\uff0c\u8fd9\u4e9b\u65b9\u6848\u53ef\u4ee5\u6709\u6548\u538b\u4f4e\u63a8\u7406\u6210\u672c\u3002<\/p>\n \u65e0\u8bba\u662f\u54ea\u79cd\u67b6\u6784\uff0cKV Cache \u7684\u8ba1\u7b97\u516c\u5f0f\u90fd\u4fdd\u6301\u4e0d\u53d8\uff1a\u4f60\u53ef\u4ee5\u7528 2 \u00d7 layers \u00d7 kv_heads \u00d7 head_dim \u00d7 bytes \u00d7 context \u00d7 batch \u00f7 1e9 \u8fdb\u884c\u4f30\u7b97\u3002\u4ee5\u5e26\u5206\u7ec4\u67e5\u8be2\u6ce8\u610f\u529b\uff08GQA\uff09\u7684 Llama 3.1 8B \u4e3a\u4f8b\uff0c\u5728 FP16 \u4e0b\uff0c\u6bcf\u4e2a\u5e8f\u5217\u6bcf 1,000 \u4e2a Token \u5927\u7ea6\u9700\u8981 0.13 GB \u7684 KV Cache\u3002\u5728 8K \u4e0a\u4e0b\u6587\u300132 \u4e2a\u5e76\u53d1\u4f1a\u8bdd\u4e0b\uff0c\u5355 KV Cache \u5c31\u53ef\u4ee5\u8fbe\u5230\u7ea6 33 GB\u3002\u5c06\u8fd9\u4e00\u5197\u4f59\u9700\u6c42\u52a0\u5230\u524d\u9762\u6743\u91cd\u7684\u663e\u5b58\u9700\u6c42\u4e0a\uff0c\u624d\u80fd\u5728\u771f\u6b63\u91c7\u8d2d\u786c\u4ef6\u524d\u505a\u51fa\u5408\u7406\u51b3\u7b56\u3002<\/p>\n 2026 \u5e74 RAG \u7684\u4e09\u79cd GPU \u914d\u7f6e<\/strong><\/h2>\n \u5165\u95e8\u7ea7\u3001\u6807\u51c6\u7ea7\u4e0e\u751f\u4ea7\u7ea7<\/h3>\n \u4f60\u53ef\u4ee5\u5c06\u68c0\u7d22\u670d\u52a1\u4e0e\u4ee5\u4e0b\u4e09\u7c7b\u786c\u4ef6\u5c42\u7ea7\u8fdb\u884c\u5339\u914d\u3002\u5165\u95e8\u7ea7\u91c7\u7528\u5355\u5757 NVIDIA L4 24 GB\u3002\u8fd9\u5f20\u5361\u53ef\u4ee5\u8fd0\u884c 7B\u201314B \u7684 FP16 \u6a21\u578b\uff0c\u663e\u5b58\u5360\u7528\u5927\u81f4\u5728 12\u201316 GB\uff0c\u5e76\u80fd\u4e0e\u5d4c\u5165\u6a21\u578b\u5171\u5b58\u3002L4 \u901a\u8fc7\u539f\u751f FP8 \u652f\u6301\u53ef\u63d0\u4f9b 242 TFLOPS\uff0c\u63a8\u7406\u541e\u5410\u91cf\u662f FP16 \u7684\u4e24\u500d\uff0c\u662f\u6570\u636e\u4e2d\u5fc3\u573a\u666f\u4e2d\u670d\u52a1 7B\u201313B \u6a21\u578b\u65f6\u6bcf Token \u6210\u672c\u6700\u4f4e\u7684 GPU\u3002\u4e00\u4e2a 70B \u6a21\u578b\u5728 4-bit \u4e0b\u5927\u7ea6\u9700\u8981 35 GB \u663e\u5b58\uff0c\u5df2\u7ecf\u8d85\u51fa\u4e86 L4 \u7684 24 GB\u3002\u82e5\u4f60\u4f7f\u7528\u8be5\u5c42\u7ea7\uff0c\u8bf7\u52a1\u5fc5\u4fdd\u6301\u8bed\u6599\u89c4\u6a21\u8f83\u5c0f\u3001\u5e76\u53d1\u91cf\u8f83\u4f4e\u3002<\/p>\n \u6807\u51c6\u7ea7\u4f7f\u7528\u5355\u5757 L40S 48 GB \u6216 H100 80 GB\uff0c\u4e0e\u524d\u6587\u63d0\u5230\u7684\u201c\u5728\u5355\u5361\u4e0a\u4e3a 50 \u4e2a\u5e76\u53d1\u4ee3\u7406\u5927\u7ea6\u5360\u7528 42 GB \u663e\u5b58\u201d\u7684\u57fa\u7ebf\u9ad8\u5ea6\u5339\u914d\u3002\u751f\u4ea7\u7ea7\u5219\u4f7f\u7528\u591a\u5f20 H100 \u6216 H200\uff0c\u4ee5\u5e94\u5bf9 200+ \u5e76\u53d1\u7528\u6237\u548c\u591a\u4e2a\u4e0d\u540c\u7528\u4f8b\u3002\u5177\u4f53\u663e\u5b58\u9700\u6c42\uff0c\u8fd8\u8981\u53d6\u51b3\u4e8e\u6a21\u578b\u5927\u5c0f\u4e0e\u5e76\u53d1\u76ee\u6807\u3002<\/p>\n \n\n\n\n\n\n<\/colgroup>\n\n\n\n\n\n \u5c42\u7ea7<\/th>\n GPU<\/th>\n \u9002\u7528\u573a\u666f<\/th>\n \u6a21\u578b\u8303\u56f4<\/th>\n<\/tr>\n \u5165\u95e8\u7ea7<\/td>\n L4 24 GB<\/td>\n \u79c1\u6709 RAG\u3001\u5c0f\u89c4\u6a21\u8bed\u6599<\/td>\n 7B\u201314B FP16<\/td>\n<\/tr>\n \u6807\u51c6\u7ea7<\/td>\n L40S 48 GB \/ H100 80 GB<\/td>\n 50 \u4e2a\u5e76\u53d1\u4ee3\u7406<\/td>\n 70B 4-bit<\/td>\n<\/tr>\n \u751f\u4ea7\u7ea7<\/td>\n \u591a\u5f20 H100 \/ H200<\/td>\n 200+ \u7528\u6237<\/td>\n \u6df7\u5408\u6a21\u578b\u7ec4\u5408<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \u6bcf\u67e5\u8be2\u6210\u672c\u5bf9\u6bd4<\/h3>\n \u6bcf\u6b21\u67e5\u8be2\u7684\u6210\u672c\u7531 Token \u6570\u91cf\u4e0e\u786c\u4ef6\u6210\u672c\u5171\u540c\u51b3\u5b9a\u3002\u5bf9\u8f7b\u91cf\u8d1f\u8f7d\u800c\u8a00\uff0c\u5165\u95e8\u7ea7\u5728\u4ef7\u683c\u4e0a\u66f4\u5177\u4f18\u52bf\uff1a\u5355\u5757 L4 \u5728\u6570\u636e\u4e2d\u5fc3\u7ea7 GPU \u4e2d\uff0c\u4e3a 7B\u201313B \u6a21\u578b\u63d0\u4f9b\u4e86\u6700\u4f4e\u7684\u6bcf Token \u6210\u672c\u3002\u6807\u51c6\u7ea7\u6309\u5c0f\u65f6\u8ba1\u4ef7\u66f4\u9ad8\uff0c\u4f46\u53ef\u4ee5\u652f\u6301\u66f4\u591a\u7684 Token\/s\u3002\u751f\u4ea7\u7ea7\u5219\u5c06\u6574\u4f53\u6210\u672c\u644a\u8584\u81f3\u5927\u91cf\u7528\u6237\uff0c\u56e0\u800c\u5728\u9ad8\u541e\u5410\u573a\u666f\u4e0b\uff0c\u6bcf\u6b21\u67e5\u8be2\u6210\u672c\u53cd\u800c\u4f1a\u964d\u4f4e\u3002\u5728\u51b3\u5b9a\u4e0a\u591a GPU \u4e4b\u524d\uff0c\u4e00\u5b9a\u8981\u6839\u636e\u81ea\u5df1\u771f\u5b9e\u7684\u4e1a\u52a1\u8d1f\u8f7d\u505a\u57fa\u51c6\u6d4b\u8bd5\u3002<\/p>\n \u4f60\u7a76\u7adf\u9700\u8981\u591a\u5c11 GPU \u663e\u5b58\uff1f\u4e24\u6761\u5bb9\u91cf\u89c4\u5212\u516c\u5f0f<\/strong><\/h2>\n \u73b0\u5728\u4f60\u53ef\u4ee5\u628a\u4e0a\u9762\u7684\u62c6\u89e3\u8f6c\u6362\u6210\u4e24\u6761\u516c\u5f0f\u3002\u7b2c\u4e00\u6761\u7528\u4e8e\u4f30\u7b97\u7d22\u5f15\u663e\u5b58\uff0c\u7b2c\u4e8c\u6761\u7528\u4e8e\u4f30\u7b97\u5168\u5c40\u90e8\u7f72\u7684\u603b\u663e\u5b58\u3002<\/p>\n \u7d22\u5f15\u663e\u5b58\u516c\u5f0f<\/h3>\n \u4ece\u539f\u59cb\u5411\u91cf\u5b58\u50a8\u5f00\u59cb\u3002\u516c\u5f0f\u4e3a\uff1avectors \u00d7 dimensions \u00d7 bytes-per-value \u00d7 (1 + overhead) \u00f7 1e9 = GB\u3002\u5728\u6bcf\u503c 4 \u5b57\u8282\u300110% \u989d\u5916\u5f00\u9500\u7684\u5047\u8bbe\u4e0b\uff0c500 \u4e07\u6761\u5411\u91cf\u5728 1024 \u7ef4\u65f6\u9700\u8981 20.48 GB \u663e\u5b58\u3002\u76f8\u540c\u8bed\u6599\u5728 768 \u7ef4\u65f6\u4ec5\u9700 15.36 GB\uff0c\u5728 384 \u7ef4\u65f6\u5219\u53ea\u9700 7.68 GB\u3002\u5982\u679c\u5c06\u8bed\u6599\u7ffb\u500d\u5230 1,000 \u4e07\u6761\u5411\u91cf\uff0c\u5219\u6bcf\u4e2a\u6570\u5b57\u4e5f\u4f1a\u7ffb\u500d\uff0c1024 \u7ef4\u7684\u663e\u5b58\u9700\u6c42\u4f1a\u8fbe\u5230 40.96 GB\u3002<\/p>\n \u539f\u59cb\u5411\u91cf\u8fd8\u4e0d\u662f\u5168\u90e8\u3002\u5b9e\u9645\u7cfb\u7edf\u8fd8\u9700\u8981\u7d22\u5f15\u7ed3\u6784\uff0c\u4f8b\u5982 HNSW \u56fe\u8fb9\u6216 IVF \u5012\u6392\u5217\u8868\uff0c\u8fd9\u4f1a\u4e3a\u6bcf\u6761\u5411\u91cf\u989d\u5916\u589e\u52a0 10\u2013100+ \u5b57\u8282\u3002\u4f60\u8fd8\u9700\u8981\u5411\u91cf ID \u6765\u628a\u68c0\u7d22\u7ed3\u679c\u6620\u5c04\u56de\u6587\u6863\uff0c\u901a\u5e38\u6bcf\u4e2a ID \u9700\u8981 8 \u5b57\u8282\u3002\u65f6\u95f4\u6233\u3001\u6743\u9650\u3001\u8fc7\u6ee4\u5b57\u6bb5\u7b49\u5143\u6570\u636e\u4f1a\u53e0\u52a0\u66f4\u591a\u7a7a\u95f4\u3002\u5bf9\u5185\u5b58\u5206\u914d\u5668\u5f00\u9500\u3001\u788e\u7247\u3001\u5bf9\u9f50\u548c\u586b\u5145\u7684\u9884\u7559\uff0c\u5219\u53ef\u80fd\u518d\u5403\u6389 5\u201315%\u3002\u5982\u679c\u4f60\u5173\u5fc3\u53ef\u9760\u6027\uff0c\u8fd8\u9700\u8981\u505a\u6570\u636e\u526f\u672c\uff0c\u8fd9\u4f1a\u4f7f\u603b\u5185\u5b58\u7ffb\u500d\u3002<\/p>\n \u603b\u663e\u5b58\u516c\u5f0f<\/h3>\n \u63a5\u4e0b\u6765\u628a\u6240\u6709\u6d88\u8d39\u8005\u52a0\u603b\uff1aTotal VRAM = embedding\uff081\u201314 GB\uff09 + index + model weights + KV cache \u00d7 concurrency + 10\u201320% buffer\u3002\u5171\u5740\u5d4c\u5165\u6a21\u578b\u7684\u4f53\u91cf\u901a\u5e38\u975e\u5e38\u5c0f\uff0c\u53ef\u4ee5\u89c6\u4f5c\u5e38\u6570\u9879\uff1b\u7d22\u5f15\u7528\u4e0a\u9762\u7684\u516c\u5f0f\u8ba1\u7b97\uff1b\u6a21\u578b\u6743\u91cd\u5219\u6765\u81ea\u4e8e\u4f60\u9009\u5b9a\u7684\u91cf\u5316\u65b9\u5f0f\uff1bKV Cache \u5219\u4f1a\u968f\u6bcf\u4e2a\u6d3b\u52a8\u4f1a\u8bdd\u7ebf\u6027\u589e\u957f\u3002<\/p>\n \u6a21\u578b\u6743\u91cd\u7684\u663e\u5b58\u8ba1\u7b97\u53ef\u4ee5\u5199\u6210 (params \u00d7 bits) \/ 8\uff0c\u518d\u52a0\u4e0a 20% \u7684\u5197\u4f59\u3002\u4ee5 70B \u6a21\u578b\u5728 4-bit \u4e0b\u4e3a\u4f8b\uff1a70 \u00d7 4 \/ 8 = 35 GB\uff0c\u00d7 1.2 \u2248 42 GB \u6a21\u578b\u6743\u91cd\u3002\u8fd9\u4e00\u4f53\u91cf\u53ef\u4ee5\u88c5\u5165\u4e00\u5f20 80 GB \u7684\u663e\u5b58\u5361\u3002\u4f59\u4e0b\u7684\u7ea6 38 GB \u5c31\u53ef\u4ee5\u4f5c\u4e3a KV Cache \u9884\u7b97\u3002\u8fd9\u4e5f\u5bf9\u5e94\u4e86\u6587\u7ae0\u5f00\u5934\u7684\u5206\u914d\u65b9\u5f0f\uff1a\u5927\u7ea6 42 GB \u88ab\u6a21\u578b\u53ca\u57fa\u7840\u8bbe\u65bd\u5360\u7528\uff0c\u7559\u4e0b\u7ea6 38 GB \u7ed9 KV Cache\u3002<\/p>\n \u8fd9\u4e2a Cache \u9884\u7b97\u9700\u8981\u8986\u76d6\u6240\u6709\u5e76\u53d1\u4ee3\u7406\u3002\u4f8b\u5982\uff0cQwen2.5-14B \u5728 FP16 \u4e0b\uff0c\u6bcf\u4e2a\u5e76\u53d1\u7528\u6237\u5728 32K \u4e0a\u4e0b\u6587\u65f6\u5927\u7ea6\u9700\u8981 ~1.5 GB \u7684 KV Cache\u30028 \u4e2a\u5e76\u53d1\u7528\u6237\u5728 128K \u4e0a\u4e0b\u6587\u4e0b\uff0c\u5355 KV Cache \u5c31\u53ef\u4ee5\u5360\u7528 ~48 GB\u3002\u82e5\u6709 50 \u4e2a\u5e76\u53d1\u4ee3\u7406\uff0c\u4f60\u7684 38 GB Cache \u9884\u7b97\u5c31\u8981\u88ab\u5b83\u4eec\u5e73\u5206\uff0c\u8fd9\u4f1a\u76f4\u63a5\u9650\u5236\u6bcf\u4e2a\u4f1a\u8bdd\u53ef\u7528\u7684\u4e0a\u4e0b\u6587\u957f\u5ea6\u3002\u6709\u8d44\u6599\u6307\u51fa\uff0c\u6bcf\u4e2a Token \u5927\u7ea6\u9700\u8981 800 KB \u7684 KV Cache\uff0c\u90a3\u4e48\u5728\u6700\u574f\u60c5\u51b5\u4e0b\uff0c\u4e00\u4e2a p99 \u8bf7\u6c42\u7684 15,700 \u4e2a Token \u4f1a\u6d88\u8017\u7ea6 12.5 GB \u7684 Cache\u3002\u5c3d\u7ba1\u91cf\u5316\u53ef\u4ee5\u538b\u7f29\u6a21\u578b\u6743\u91cd\u4f53\u79ef\uff0c\u4f46\u9762\u5bf9\u66f4\u957f\u4e0a\u4e0b\u6587\u3001\u66f4\u5927\u6279\u91cf\u548c\u66f4\u5927\u6a21\u578b\u65f6\uff0cGPU \u603b\u663e\u5b58\u4ecd\u7136\u662f\u786c\u7ea6\u675f\u3002<\/p>\n \u5728\u8d2d\u4e70\u786c\u4ef6\u524d\uff0c\u4e00\u5b9a\u8981\u5148\u8dd1\u4e00\u904d\u8fd9\u4e9b\u6570\u5b57\u3002\u5b83\u4eec\u80fd\u544a\u8bc9\u4f60\uff1a\u8fd9\u5957\u68c0\u7d22\u670d\u52a1\u662f\u80fd\u585e\u8fdb\u4e00\u5f20\u5361\u91cc\uff0c\u8fd8\u662f\u5fc5\u987b\u4e0a\u591a\u5361\u8282\u70b9\u3002<\/p>\n \n <\/div>\n<\/div>\n \u7528\u4e00\u4efd\u68c0\u67e5\u6e05\u5355\u6765\u89c4\u5212\u4f60\u7684 RAG \u90e8\u7f72\uff1a\u4f30\u7b97\u8bed\u6599\u5411\u91cf\u603b\u91cf\u3001\u9009\u62e9\u5d4c\u5165\u7ef4\u5ea6\u3001\u786e\u5b9a LLM \u89c4\u6a21\u4e0e\u91cf\u5316\u65b9\u5f0f\u3001\u4e3a\u5cf0\u503c\u5e76\u53d1\u9884\u7559 KV Cache \u7a7a\u95f4\uff0c\u5e76\u9884\u7559 10\u201320% \u7684\u5197\u4f59\u7f13\u51b2\u3002<\/p>\n \u6574\u4f53\u8303\u56f4\u662f\u6e05\u6670\u7684\uff1a\u79c1\u6709\u578b RAG \u90e8\u7f72\u53ef\u4ee5\u585e\u8fdb 24 GB \u663e\u5b58\uff1b\u6807\u51c6\u5316\u90e8\u7f72\uff0c\u5728 50 \u4e2a\u5e76\u53d1\u4ee3\u7406\u4e0b\u5927\u7ea6\u4f1a\u5360\u7528 42 GB\uff1b\u751f\u4ea7\u7ea7\u90e8\u7f72\uff0c\u5728 200+ \u5e76\u53d1\u7528\u6237\u4e0b\u5f80\u5f80\u4f1a\u7a81\u7834 320 GB \u663e\u5b58\u3002<\/p>\n \u5ffd\u7565\u9a8c\u8bc1\u662f\u5e38\u89c1\u9677\u9631\uff1a\u5bb9\u91cf\u89c4\u5212\u516c\u5f0f\u7ed9\u51fa\u7684\u53ea\u662f\u4f30\u7b97\uff0c\u800c\u4e0d\u662f\u4fdd\u8bc1\u3002\u5728\u6269\u5c55\u5230\u751f\u4ea7\u73af\u5883\u4e4b\u524d\uff0c\u4e00\u5b9a\u8981\u5148\u5728\u5355\u5361\u4e0a\u7528\u63a5\u8fd1\u771f\u5b9e\u7684\u6d41\u91cf\u505a\u538b\u6d4b\u3002<\/p>\n \u628a\u4f30\u7b97\u7ed3\u679c\u5f53\u4f5c\u51fa\u53d1\u70b9\uff1a\u5148\u5728\u4e00\u5757\u72ec\u7acb GPU \u4e0a\u90e8\u7f72\uff0c\u7528\u771f\u5b9e\u7684\u63d0\u793a\u8bcd\u548c\u5e76\u53d1\u8bf7\u6c42\u8fdb\u884c\u6d4b\u8bd5\uff0c\u7136\u540e\u6d4b\u91cf\u5b9e\u9645\u663e\u5b58\u5360\u7528\u548c\u5ef6\u8fdf\uff0c\u518d\u51b3\u5b9a\u540e\u7eed\u6269\u5bb9\u7b56\u7565\u3002<\/p>\n \u5e38\u89c1\u95ee\u9898\uff08FAQ\uff09<\/strong><\/h2>\n \u5165\u95e8\u7ea7\u65b9\u6848\u9700\u8981\u591a\u5c11 GPU \u663e\u5b58\uff1f<\/h3>\n \u5355\u5757 L4 24 GB \u5c31\u80fd\u8fd0\u884c 7B\u201314B \u7684 FP16 \u6a21\u578b\uff0c\u5e76\u53ef\u4ee5\u5728\u540c\u4e00\u5f20\u5361\u4e0a\u5bb9\u7eb3\u5d4c\u5165\u6a21\u578b\u3002\u53ea\u8981\u4fdd\u6301\u8bed\u6599\u89c4\u6a21\u8f83\u5c0f\u3001\u5e76\u53d1\u91cf\u8f83\u4f4e\uff0c\u8fd9\u4e00\u5c42\u7ea7\u5c31\u5f88\u9002\u5408\u7528\u4e8e\u4f4e\u6d41\u91cf\u7684\u79c1\u6709 RAG \u90e8\u7f72\u3002<\/p>\n \u4e3a\u4ec0\u4e48\u5d4c\u5165\u6a21\u578b\u7684\u663e\u5b58\u5360\u7528\u8fd9\u4e48\u5c0f\uff1f<\/h3>\n \u73b0\u4ee3\u5d4c\u5165\u7f16\u7801\u5668\u90fd\u5f88\u7d27\u51d1\u3002\u4f60\u901a\u5e38\u4f1a\u4ee5 FP16 \u6216 INT8 \u7cbe\u5ea6\u8fd0\u884c\u5d4c\u5165\u6a21\u578b\uff0c\u5e76\u8ba9\u5b83\u4e0e\u68c0\u7d22\u6d41\u6c34\u7ebf\u5171\u4eab\u4e0a\u4e0b\u6587\u3002\u73b0\u5b9e\u4e2d\uff0c\u5d4c\u5165\u4fa7\u7684\u663e\u5b58\u5360\u7528\u5927\u591a\u5728 1\u201314 GB\uff0c\u800c\u4e0d\u662f\u65e7\u6307\u5357\u4e2d\u63d0\u5230\u7684 2\u20138 GB\u3002\u4e0e LLM \u76f8\u6bd4\uff0c\u672c\u6307\u5357\u5c06\u5d4c\u5165\u6a21\u578b\u7684\u663e\u5b58\u5360\u7528\u89c6\u4e3a\u201c\u8fd1\u4f3c\u53ef\u4ee5\u5ffd\u7565\u7684\u5e38\u6570\u201d\u3002<\/p>\n \u6211\u53ef\u4ee5\u628a\u5411\u91cf\u7d22\u5f15\u4e0b\u653e\u5230 CPU \u5185\u5b58\u5417\uff1f<\/h3>\n \u53ef\u4ee5\uff0c\u8fd9\u6837\u505a\u53ef\u4ee5\u4e3a LLM \u817e\u51fa\u66f4\u591a GPU \u663e\u5b58\u3002\u4ee3\u4ef7\u662f\u5ef6\u8fdf\u53d8\u9ad8\uff1aCPU \u68c0\u7d22\u8017\u65f6\u53ef\u80fd\u662f LLM \u9884\u586b\u9636\u6bb5\u7684\u4e24\u500d\u3002\u5206\u5c42\u8bbe\u8ba1\u901a\u5e38\u4f1a\u628a\u70ed\u70b9\u805a\u7c7b\u7f13\u5b58\u5728 GPU\u3001\u51b7\u6570\u636e\u653e\u5728 CPU\uff0c\u672c\u6307\u5357\u63a8\u8350\u8fd9\u79cd\u65b9\u5f0f\u3002<\/p>\n \u5e76\u53d1\u4f1a\u600e\u6837\u6539\u53d8\u6211\u7684\u5bb9\u91cf\u89c4\u5212\uff1f<\/h3>\n KV Cache \u4f1a\u968f\u7740\u6bcf\u4e2a\u6d3b\u52a8\u4f1a\u8bdd\u7ebf\u6027\u589e\u957f\u3002\u5728 50 \u4e2a\u5e76\u53d1\u4ee3\u7406\u7684\u57fa\u7ebf\u4e0b\uff0c\u4f60\u4f1a\u5728\u603b 42 GB \u5360\u7528\u4e4b\u540e\uff0c\u5269\u4e0b\u5927\u7ea6 38 GB \u7ed9 KV Cache\u3002\u5f53\u5e76\u53d1\u589e\u52a0\u5230 200 \u4e2a\u7528\u6237\u65f6\uff0c\u5355 KV Cache \u5c31\u53ef\u80fd\u8f7b\u677e\u7a81\u7834 100 GB\uff0c\u4ece\u800c\u903c\u8feb\u4f60\u91c7\u7528\u591a GPU \u8282\u70b9\u3002\u56e0\u6b64\u8981\u5c3d\u91cf\u538b\u7f29\u5411\u91cf\u7d22\u5f15\u5728 GPU \u4e0a\u7684\u5360\u7528\u3002<\/p>\n \u5728\u91c7\u8d2d GPU \u57fa\u7840\u8bbe\u65bd\u4e4b\u524d\uff0c\u5982\u4f55\u9a8c\u8bc1\u6211\u7684\u5bb9\u91cf\u4f30\u7b97\uff1f<\/h3>\n \u5148\u5728\u4e00\u5757\u72ec\u7acb GPU \u4e0a\u90e8\u7f72\u3002\u7528\u771f\u5b9e\u7684\u8f93\u5165\u63d0\u793a\u548c\u5e76\u53d1\u8bf7\u6c42\u8fdb\u884c\u6d4b\u8bd5\uff0c\u6d4b\u91cf\u5b9e\u9645\u663e\u5b58\u5360\u7528\u4e0e\u5ef6\u8fdf\uff0c\u5e76\u989d\u5916\u9884\u7559 10\u201320% \u7684\u788e\u7247\u4e0e\u6846\u67b6\u5f00\u9500\u3002\u672c\u6307\u5357\u5c06\u5bb9\u91cf\u89c4\u5212\u516c\u5f0f\u89c6\u4e3a\u8d77\u70b9\uff0c\u800c\u4e0d\u662f\u7cbe\u786e\u627f\u8bfa\u3002<\/p>\n","protected":false},"excerpt":{"rendered":" \u5728 2026 \u5e74\uff0c\u4e00\u4e2a\u751f\u4ea7\u7ea7 RAG \u68c0\u7d22\u670d\u52a1\uff0c\u5728\u5355\u5f20 GPU \u4e0a\u4ee5 50 \u4e2a\u5e76\u53d1\u4ee3\u7406\u3001\u5c11\u4e8e 500 \u4e07\u6587\u6863\u8bed\u6599\u4e3a\u89c4\u6a21\uff0c\u5927\u7ea6\u4f1a\u5360\u7528 42 GB \u7684GPU \u663e\u5b58\uff0c\u5269\u4f59\u7ea6 38 GB \u53ef\u7528\u4e8e KV 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