RAG \u6280\u8853\u5806\u758a\u4e2d\u7684 GPU \u986f\u5b58\u5206\u914d<\/strong><\/h2>\n

\u4f60\u7684 RAG \u6280\u8853\u5806\u758a\u6703\u628a GPU \u986f\u5b58\u5728\u4e09\u500b\u90e8\u5206\u4e4b\u9593\u9032\u884c\u5283\u5206\u3002\u5176\u4e2d\u6709\u5169\u500b\u90e8\u5206\u5728 2026 \u5e74\u7684\u9ad4\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\u9019\u6a23\u4f60\u5c31\u53ef\u4ee5\u628a\u9918\u4e0b\u7684\u5927\u90e8\u5206\u986f\u5b58\u7559\u7d66 LLM\u3002<\/p>\n

\u5d4c\u5165\u6a21\u578b\u7684\u986f\u5b58\u4f54\u7528<\/h3>\n

\u5c07\u5d4c\u5165\u6a21\u578b\u8207 LLM \u90e8\u7f72\u5728\u540c\u4e00\u5f35 GPU \u4e0a\uff0c\u5728\u4eca\u5929\u901a\u5e38\u53ea\u9700\u8981 1\u201314 GB \u986f\u5b58\u3002\u820a\u7248\u6307\u5357\u7d66\u51fa\u7684 2\u20138 GB \u4f30\u8a08\u5df2\u7d93\u4e0d\u518d\u6e96\u78ba\u3002\u73fe\u4ee3\u5d4c\u5165\u6a21\u578b\u662f\u7dca\u6e4a\u7684\u7de8\u78bc\u5668\uff0c\u4f60\u901a\u5e38\u6703\u4ee5 FP16 \u6216 INT8 \u7cbe\u5ea6\u57f7\u884c\u5b83\u5011\u3002\u5d4c\u5165\u6a21\u578b\u8207\u6aa2\u7d22\u6d41\u6c34\u7dda\u5171\u4eab\u4e0a\u4e0b\u6587\uff0c\u56e0\u6b64\u4e0d\u9700\u8981\u70ba\u5176\u55ae\u7368\u5283\u51fa\u4e00\u5927\u584a\u986f\u5b58\u3002\u5b83\u6240\u7522\u751f\u7684\u55ae\u689d\u5d4c\u5165\u5411\u91cf\u5f88\u5c0f\uff0c\u800c\u6a21\u578b\u672c\u8eab\u9577\u99d0\u986f\u5b58\uff0c\u4e0d\u6703\u6fc0\u70c8\u64e0\u4f54\u7a7a\u9593\u3002<\/p>\n

\u5411\u91cf\u7d22\u5f15\u7684\u986f\u5b58\u4f54\u7528<\/h3>\n

\u5411\u91cf\u7d22\u5f15\u7684\u986f\u5b58\u4f7f\u7528\u6703\u96a8\u8a9e\u6599\u898f\u6a21\u7dda\u6027\u6210\u9577\u3002\u4e00\u500b\u5be6\u7528\u7684\u7d93\u9a57\u503c\u662f\uff1a\u5728 768 \u7dad\u5d4c\u5165\u4e0b\uff0c\u6bcf 100 \u842c\u689d\u5411\u91cf\u5927\u7d04\u9700\u8981 3 GB \u986f\u5b58\u3002\u4f60\u7684 GPU \u52a0\u901f\u7d22\u5f15\u6703\u5c07\u9019\u4e9b\u5411\u91cf\u9577\u99d0 GPU\uff0c\u4ee5\u652f\u6490\u5feb\u901f\u6aa2\u7d22\u3002\u5728\u9019\u88e1\uff0c\u662f\u5426\u5c07\u7d22\u5f15\u9577\u99d0 GPU\uff0c\u9084\u662f\u90e8\u5206\u6216\u5168\u90e8\u4e0b\u653e\u5230 CPU\uff0c\u6703\u5f62\u6210\u91cd\u8981\u7684\u6548\u80fd\u6b0a\u8861\u3002<\/p>\n

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

\u7dad\u5ea6<\/th>\n	GPU \u5074\u7d22\u5f15<\/th>\n	CPU \u5074\u7d22\u5f15<\/th>\n<\/tr>\n
\u6aa2\u7d22\u5ef6\u9072<\/td>\n	GPU \u52a0\u901f\u7684 IVF \u6aa2\u7d22\u6bd4\u9ad8\u901f CPU \u6383\u63cf\u65b9\u6cd5\u5feb\u8fd1\u4e00\u500b\u6578\u91cf\u7d1a<\/td>\n	CPU \u6aa2\u7d22\u8017\u6642\u53ef\u80fd\u662f LLM \u9810\u586b\u968e\u6bb5\u7684 2 \u500d\uff0c\u5c07 TTFT \u5f9e 197ms \u62c9\u9ad8\u5230 606ms<\/td>\n<\/tr>\n
\u986f\u5b58\u58d3\u529b<\/td>\n	\u7d22\u5f15\u8981\u8207 LLM \u7684 KV Cache \u548c\u6a21\u578b\u6b0a\u91cd\u7af6\u722d\u986f\u5b58<\/td>\n	\u91cb\u653e GPU \u986f\u5b58\u7d66 LLM \u63a8\u7406\u4f7f\u7528\uff0c\u4f46 CPU \u8a18\u61b6\u9ad4\u9700\u5bb9\u7d0d\u5b8c\u6574\u7d22\u5f15<\/td>\n<\/tr>\n
LLM \u541e\u5410\u91cf<\/td>\n	KV Cache \u7a7a\u9593\u4e0d\u8db3\u6703\u76f4\u63a5\u62d6\u7d2f LLM \u541e\u5410\u91cf<\/td>\n	\u4e0d\u5b58\u5728 GPU \u722d\u7528\uff0c\u4f46\u7de9\u6162\u7684\u6aa2\u7d22\u6703\u6210\u70ba\u751f\u6210\u74f6\u9838<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \u5b58\u53d6\u6a21\u5f0f\u5f80\u5f80\u9ad8\u5ea6\u504f\u659c\uff1a\u6700\u71b1\u7684 20% \u53e2\u96c6\uff0c\u627f\u64d4\u4e86\u7d04 60% \u7684 Wiki-All \u5b58\u53d6\u91cf\uff0c\u4ee5\u53ca\u8d85\u904e 93% \u7684 ORCAS \u5b58\u53d6\u91cf\u3002\u5206\u5c64\u8a2d\u8a08\u6703\u5c07\u71b1\u9ede\u53e2\u96c6\u5feb\u53d6\u5728 GPU\uff0c\u51b7\u8cc7\u6599\u5247\u653e\u5728 CPU\u3002\u81ea\u9069\u61c9\u5206\u5340\u7b56\u7565\u53ef\u4ee5\u627e\u5230\u4e00\u500b\u6700\u512a\u5206\u754c\u9ede\uff0c\u4f8b\u5982\u5728 400ms SLO \u4e0b\u9078\u64c7\u7d04 31.5% \u7684 GPU \u5e38\u99d0\u6bd4\u4f8b\u3002\u9019\u6a23\u7684\u5e73\u8861\u65e2\u80fd\u4fdd\u6301 LLM \u751f\u6210\u6548\u80fd\uff0c\u53c8\u80fd\u5c07\u5728 SLO \u7d04\u675f\u4e0b\u7684\u541e\u5410\u91cf\u63d0\u5347\u5230 1.5 \u500d\u3002\u53ea\u8981\u628a\u9019\u5169\u500b\u6d88\u8cbb\u8005\u4fdd\u6301\u5f97\u8db3\u5920\u7cbe\u7c21\uff0c\u4f60\u7684 Token \u548c KV Cache \u5c31\u80fd\u64c1\u6709\u8db3\u5920\u7684\u7a7a\u9593\u3002<\/p>\n RAG \u4e2d\u7684 LLM \u63a8\u7406\u8207 KV Cache<\/strong><\/h2>\n LLM \u63a8\u7406\u5f15\u64ce\u6703\u6d88\u8017\u4f60\u7d55\u5927\u591a\u6578\u7684 GPU \u986f\u5b58\u9810\u7b97\u3002\u9019\u90e8\u5206\u53ef\u4ee5\u62c6\u5206\u70ba\u5169\u985e\uff1a\u6a21\u578b\u6b0a\u91cd\u548c KV Cache\u3002\u7406\u89e3\u5b83\u5011\u5404\u81ea\u7684\u64f4\u5c55\u65b9\u5f0f\uff0c\u53ef\u4ee5\u8b93\u4f60\u6839\u64da\u76ee\u6a19\u4f75\u767c\u6578\u548c\u4e0a\u4e0b\u6587\u9577\u5ea6\u4f86\u5408\u7406\u898f\u5283\u786c\u9ad4\u3002<\/p>\n \u6309\u898f\u6a21\u5283\u5206\u7684\u6a21\u578b\u6b0a\u91cd<\/h3>\n \u4f60\u9078\u64c7\u7684\u6a21\u578b\u6c7a\u5b9a\u4e86\u57fa\u790e\u986f\u5b58\u9700\u6c42\uff0c\u4f60\u53ef\u4ee5\u900f\u904e\u91cf\u5316\u4f86\u7e2e\u5c0f\u6a21\u578b\u9ad4\u7a4d\u3002\u4e0b\u8868\u5c55\u793a\u4e86 Llama 3.3 70B \u9019\u4e00\u5728\u751f\u7522 RAG \u5806\u758a\u4e2d\u975e\u5e38\u6d41\u884c\u7684\u6a21\u578b\uff0c\u5728\u4e0d\u540c\u91cf\u5316\u8a2d\u5b9a\u4e0b\u7684\u986f\u5b58\u7bc4\u570d\u3002<\/p>\n \n\n\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n \u91cf\u5316\u65b9\u5f0f<\/th>\n \u7e3d\u986f\u5b58\u4f54\u7528\uff08Llama 3.3 70B\uff09<\/th>\n \u76f8\u5c0d FP16 \u7684\u54c1\u8cea<\/th>\n<\/tr>\n FP16\uff08\u5168\u7cbe\u5ea6\uff09<\/td>\n \u7d04 144 GB<\/td>\n 100%\uff08\u57fa\u6e96\uff09<\/td>\n<\/tr>\n FP8 \/ Q8<\/td>\n \u7d04 78 GB<\/td>\n 99%<\/td>\n<\/tr>\n Q6_K<\/td>\n \u7d04 60 GB<\/td>\n 98%<\/td>\n<\/tr>\n Q5_K_M<\/td>\n \u7d04 52 GB<\/td>\n 96%<\/td>\n<\/tr>\n Q4_K_M\uff08\u6700\u5e38\u7528\uff09<\/td>\n \u7d04 46 GB<\/td>\n 93%<\/td>\n<\/tr>\n Q3_K_M<\/td>\n \u7d04 37 GB<\/td>\n 85%\uff08\u54c1\u8cea\u4e0b\u964d\u660e\u986f\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \u53ef\u4ee5\u770b\u5230\uff0c\u55ae\u5f35 80 GB \u986f\u5b58\u7684 GPU\uff08\u4f8b\u5982 H100\uff09\u8db3\u4ee5\u8f15\u9b06\u5bb9\u7d0d Q4_K_M \u91cf\u5316\u7248\u672c\uff0c\u540c\u6642\u9084\u80fd\u7559\u51fa\u7a7a\u9593\u7d66\u5176\u4ed6\u5143\u4ef6\u3002Q3_K_M \u7248\u672c\u53ef\u4ee5\u88dd\u5165 L40S 48 GB\uff0c\u4f46\u54c1\u8cea\u4e0b\u6ed1\u6703\u975e\u5e38\u660e\u986f\uff0c\u56e0\u6b64\u4e0d\u5efa\u8b70\u5728\u9ad8\u8981\u6c42\u7684\u6aa2\u7d22\u4efb\u52d9\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\u50c5\u9700 4\u20135 GB\uff0c\u975e\u5e38\u9069\u5408\u4f5c\u70ba\u4f4e\u6210\u672c\u7684\u5d4c\u5165 + \u751f\u6210\u4e00\u9ad4\u5316\u65b9\u6848\u3002<\/p>\n KV Cache \u8207\u4f75\u767c<\/h3>\n \u6a21\u578b\u6b0a\u91cd\u662f\u975c\u614b\u7684\uff0c\u800c KV Cache \u6703\u96a8\u8457\u6bcf\u500b\u6d3b\u52d5\u6703\u8a71\u7684\u6210\u9577\u800c\u52d5\u614b\u64f4\u5f35\u3002\u4f60\u5fc5\u9808\u628a\u9019\u4e00\u8b8a\u6578\u8003\u616e\u9032\u53bb\uff0c\u624d\u80fd\u5728\u9ad8\u5cf0\u8ca0\u8f09\u4e0b\u907f\u514d\u986f\u5b58 OOM\u3002<\/p>\n KV Cache \u7e3d\u986f\u5b58\u7684\u516c\u5f0f\u5176\u5be6\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 \u9019\u500b\u4fc2\u6578\uff0c\u4f86\u81ea\u65bc Key \u8207 Value \u5f35\u91cf\u9700\u8981\u5206\u5225\u5132\u5b58\u7684\u4e8b\u5be6\u3002\u4ee5\u4e0a\u6587\u63d0\u5230\u7684 42 GB \u57fa\u7dda\u70ba\u4f8b\uff0c\u5728 50 \u500b\u4f75\u767c\u4ee3\u7406\u7684\u5834\u666f\u4e0b\uff0c\u5927\u7d04\u6703\u628a\u5176\u4e2d 38 GB \u5206\u914d\u7d66 KV Cache\u3002\u5047\u8a2d\u4f60\u4f7f\u7528\u4e00\u500b 32 \u5c64\u30018 \u500b KV \u982d\u3001Head \u7dad\u5ea6\u70ba 128\u3001\u5feb\u53d6 8,000 \u500b Token \u7684 LLM\uff0c\u90a3\u9ebc\u6bcf\u500b\u5e8f\u5217\u7684\u6bcf\u500b Token \u5927\u7d04\u6703\u4f54\u7528 64 KB\u3002\u5c07\u5176\u4e58\u4ee5 50 \u500b\u4ee3\u7406\uff0c\u6703\u5728\u4efb\u4f55\u586b\u5145\u6216\u6279\u8655\u7406\u958b\u92b7\u4e4b\u524d\uff0c\u5c31\u5f97\u5230 25 GB \u4ee5\u4e0a\u7684 Cache \u9ad4\u91cf\u3002<\/p>\n \u7576\u4f60\u8a08\u756b\u652f\u6490 200 \u500b\u4f75\u767c\u4f7f\u7528\u8005\u6642\uff0c\u5373\u4f7f\u662f 7B \u53c3\u6578\u7684\u6a21\u578b\uff0c\u5176 KV Cache \u4e5f\u53ef\u80fd\u8f15\u9b06\u7a81\u7834 100 GB\uff0c\u9019\u6703\u628a\u4f60\u63a8\u5411\u591a GPU \u7bc0\u9ede\u3002\u6b64\u6642\u5fc5\u9808\u9032\u884c\u591a\u5361\u5206\u6563\u5f0f\u90e8\u7f72\uff0c\u4e0d\u53ef\u80fd\u518d\u628a\u6240\u6709\u5167\u5bb9\u90fd\u585e\u9032\u4e00\u5f35\u5361\u88e1\u3002\u540c\u6642\u4f60\u9084\u8981\u8a18\u4f4f\uff0c\u5171\u5740\u7684\u5d4c\u5165\u6a21\u578b\u4e0d\u904e\u6d88\u8017 1\u201314 GB \u986f\u5b58\uff0c\u56e0\u6b64\u4e3b\u8981\u7684\u986f\u5b58\u74f6\u9838\u4f9d\u7136\u662f LLM \u7684\u6a21\u578b\u6b0a\u91cd\u8207\u5cf0\u503c\u4f75\u767c\u4e0b\u7684 KV Cache \u758a\u52a0\u3002<\/p>\n \u6a21\u578b\u8207 GPU \u986f\u5b58\u7684\u5c0d\u7167\u53c3\u8003\u8868<\/strong><\/h2>\n \u73fe\u5728\u4f60\u5df2\u7d93\u7406\u89e3\u4e86\u6a21\u578b\u6b0a\u91cd\u548c KV Cache \u7684\u64f4\u5c55\u95dc\u4fc2\u3002\u4e0b\u4e00\u6b65\u5c31\u662f\u628a\u5177\u9ad4\u6a21\u578b\u6620\u5c04\u5230\u986f\u5b58\u9700\u6c42\u4e0a\u3002\u4e0b\u8868\u5c07 2026 \u5e74\u6700\u5e38\u7528\u7684\u4e00\u4e9b LLM \u9078\u9805\u532f\u7e3d\u6210\u4e86\u4e00\u5f35\u53c3\u8003\u8868\u3002\u6240\u6709\u6578\u503c\u90fd\u5df2\u7d93\u5305\u542b 15% \u7684\u5197\u9918\u958b\u92b7\uff0c\u4f46\u4e0d\u5305\u542b KV Cache\uff0c\u56e0\u6b64\u4f60\u53ef\u4ee5\u5728\u6b64\u57fa\u790e\u4e0a\u52a0\u4e0a\u81ea\u5df1\u7684\u4f75\u767c\u7de9\u885d\u91cf\u3002<\/p>\n 8B\u201370B \u7684\u7a20\u5bc6\u6a21\u578b<\/h3>\n \u7a20\u5bc6\u6a21\u578b\u4ecd\u7136\u662f RAG \u6aa2\u7d22\u670d\u52d9\u7684\u9810\u8a2d\u9078\u64c7\u3002\u6bcf\u500b Token \u90fd\u6703\u555f\u7528\u6240\u6709\u53c3\u6578\uff0c\u56e0\u6b64\u6a21\u578b\u80fd\u529b\u8207\u898f\u6a21\u8fd1\u4f3c\u7dda\u6027\u76f8\u95dc\u3002\u6b0a\u8861\u4e5f\u5f88\u76f4\u63a5\uff1a\u66f4\u5927\u7684\u6a21\u578b\u9700\u8981\u66f4\u591a GPU \u986f\u5b58\uff0c\u4f46\u80fd\u63d0\u4f9b\u66f4\u5f37\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 \u898f\u5f8b\u975e\u5e38\u6e05\u6670\uff1a4-bit \u91cf\u5316\u5c07\u986f\u5b58\u4f54\u7528\u58d3\u7e2e\u5230 FP16 \u7684\u5927\u7d04\u4e09\u5206\u4e4b\u4e00\u3002\u9019\u6a23\u7684\u58d3\u7e2e\u53ef\u4ee5\u8b93 70B \u6a21\u578b\u5f9e\u539f\u672c\u9700\u8981\u5169\u5f35 GPU \u7684\u914d\u7f6e\uff0c\u8f49\u800c\u9069\u914d\u5230\u55ae\u5361\u3002\u66f4\u5c0f\u7684\u7a20\u5bc6\u6a21\u578b\uff0c\u4f8b\u5982 Qwen3-8B\uff0c\u5728 FP16 \u4e0b\u53ea\u9700\u8981 16 GB \u986f\u5b58\u3002\u9019\u4e9b\u4e2d\u7b49\u898f\u6a21\u7684\u6a21\u578b\u53ef\u4ee5\u5f88\u8f15\u9b06\u5730\u90e8\u7f72\u5728 L40S 48 GB \u4e0a\uff0c\u4e26\u4e14\u4ecd\u6709\u7a7a\u9593\u7528\u65bc\u5d4c\u5165\u6a21\u578b\u548c\u5411\u91cf\u7d22\u5f15\u3002<\/p>\n MoE \u8207\u91cf\u5316\u8b8a\u9ad4<\/h3>\n \u6df7\u5408\u5c08\u5bb6\uff08MoE\uff09\u6a21\u578b\u6703\u6539\u8b8a\u986f\u5b58\u7684\u8a08\u7b97\u65b9\u5f0f\u3002MoE \u6a21\u578b\u6703\u628a\u6240\u6709\u53c3\u6578\u90fd\u653e\u5728\u8a18\u61b6\u9ad4\u4e2d\uff0c\u4f46\u6bcf\u500b Token \u53ea\u555f\u7528\u5176\u4e2d\u4e00\u5c0f\u90e8\u5206\u3002\u4f60\u7684 GPU \u986f\u5b58\u4f54\u7528\u66f4\u63a5\u8fd1\u65bc\u300c\u7e3d\u53c3\u6578\u91cf\u300d\uff0c\u800c\u4e0d\u662f\u300c\u6bcf\u500b Token \u555f\u7528\u7684\u53c3\u6578\u91cf\u300d\u3002\u56e0\u6b64\uff0c\u4e00\u500b 30B \u53c3\u6578\u91cf\u7684 MoE \u6a21\u578b\u548c\u4e00\u500b 30B \u7684\u7a20\u5bc6\u6a21\u578b\uff0c\u5927\u81f4\u90fd\u6703\u9700\u8981 60 GB \u5de6\u53f3\u7684\u986f\u5b58\u3002\u771f\u6b63\u7684\u5dee\u7570\u5728\u65bc\uff1a\u4f60\u628a\u9019\u4e9b GB \u63db\u6210\u4e86\u4ec0\u9ebc\u2014\u2014\u7a20\u5bc6\u6a21\u578b\u628a\u5b83\u5011\u8f49\u5316\u70ba\u6a21\u578b\u80fd\u529b\uff0c\u800c MoE \u5247\u628a\u5b83\u5011\u8f49\u5316\u70ba\u541e\u5410\u91cf\u3002<\/p>\n Mixtral 8x7B \u5f88\u597d\u5730\u9ad4\u73fe\u4e86\u9019\u7a2e\u6b0a\u8861\u3002\u8a72\u6a21\u578b\u7e3d\u5171\u6709 46.7B \u53c3\u6578\uff0c\u4f46\u6bcf\u500b Token \u5be6\u969b\u53ea\u555f\u7528\u7d04 12.9B \u53c3\u6578\u3002\u5728 4-bit \u91cf\u5316\u4e0b\uff0cQ4_K_M \u69cb\u5efa\u7248\u672c\u9700\u8981 26.44 GB \u986f\u5b58\uff0c\u6700\u5927 28.94 GB \u8a18\u61b6\u9ad4\u3002\u53ea\u8981\u628a\u90e8\u5206\u5c64 Offload \u51fa\u53bb\uff0c\u9019\u6a23\u7684\u9ad4\u91cf\u5c31\u53ef\u4ee5\u5b89\u88dd\u5728\u4e00\u584a 24 GB \u7684 GPU \u4e0a\u3002Mixtral 8x22B \u5247\u5b8c\u5168\u4e0d\u540c\uff0c\u5b83\u64c1\u6709 176B \u7e3d\u53c3\u6578\uff0c\u986f\u5b58\u9700\u6c42\u8feb\u4f7f\u4f60\u4f7f\u7528\u64c1\u6709 80 GB \u4ee5\u4e0a\u7e3d\u986f\u5b58\u7684\u591a GPU \u4f3a\u670d\u5668\u3002<\/p>\n \u91cf\u5316\u7684 MoE \u8b8a\u9ad4\u5728\u300c\u6bcf GB \u541e\u5410\u91cf\u300d\u4e0a\u6975\u5177\u512a\u52e2\u3002\u4ee5 Qwen3.5-35B-A3B MoE \u6a21\u578b\u7684 Q4_K_M \u7248\u672c\u70ba\u4f8b\uff0c\u5b83\u50c5\u4f7f\u7528 7.6 GB \u986f\u5b58\uff0c\u537b\u53ef\u4ee5\u9054\u5230 8.61 Token\/s \u7684\u751f\u6210\u901f\u5ea6\u3002\u76f8\u540c\u91cf\u5316\u4e0b\uff0c\u4e00\u500b\u7a20\u5bc6\u7684 Qwen3.5-27B \u6a21\u578b\u9700\u8981 7.7 GB\uff0c\u537b\u53ea\u80fd\u9054\u5230 3.57 Token\/s\u3002\u8a72 MoE \u67b6\u69cb\u5728 256 \u500b\u5c08\u5bb6\u4e2d\uff0c\u5927\u7d04\u6703\u70ba\u6bcf\u500b Token \u555f\u7528 3B \u53c3\u6578\uff1b\u540c\u6642\u53ea\u8def\u7531 8 \u500b\u5c08\u5bb6\u518d\u52a0 1 \u500b\u5171\u4eab\u5c08\u5bb6\u3002\u9019\u6a23\u7684\u8a2d\u8a08\u8b93 99 \u5c64\u90fd\u80fd\u5728 GPU \u4e0a\u57f7\u884c\uff0c\u986f\u5b58\u53ea\u9700\u8981 7.6 GB\uff0c\u6bd4\u4e00\u500b\u7a20\u5bc6 9B \u6a21\u578b\u50c5\u591a 0.1 GB\uff0c\u537b\u80fd\u63d0\u4f9b 2.4 \u500d\u7684\u901f\u5ea6\u3002<\/p>\n \u5c0d\u65bc\u898f\u6a21\u8f03\u5c0f\u7684\u90e8\u7f72\uff0cMistral 7B \u53ef\u4ee5\u5728\u55ae\u584a 8 GB \u6d88\u8cbb\u7d1a GPU \u4e0a\uff0c\u751a\u81f3\u5728\u7b46\u96fb CPU \u4e0a\u57f7\u884c\u3002Mistral NeMo 12B \u5247\u662f\u55ae\u5de5\u4f5c\u7ad9\u5361\u4e2d\u898f\u4e2d\u77e9\u7684\u4e2d\u968e\u9078\u64c7\u3002\u7576\u8a9e\u6599\u8207\u4f75\u767c\u90fd\u4e0d\u7b97\u9f90\u5927\u6642\uff0c\u9019\u4e9b\u65b9\u6848\u53ef\u4ee5\u6709\u6548\u58d3\u4f4e\u63a8\u7406\u6210\u672c\u3002<\/p>\n \u7121\u8ad6\u662f\u54ea\u7a2e\u67b6\u69cb\uff0cKV Cache \u7684\u8a08\u7b97\u516c\u5f0f\u90fd\u4fdd\u6301\u4e0d\u8b8a\uff1a\u4f60\u53ef\u4ee5\u7528 2 \u00d7 layers \u00d7 kv_heads \u00d7 head_dim \u00d7 bytes \u00d7 context \u00d7 batch \u00f7 1e9 \u9032\u884c\u4f30\u7b97\u3002\u4ee5\u5e36\u5206\u7d44\u67e5\u8a62\u6ce8\u610f\u529b\uff08GQA\uff09\u7684 Llama 3.1 8B \u70ba\u4f8b\uff0c\u5728 FP16 \u4e0b\uff0c\u6bcf\u500b\u5e8f\u5217\u6bcf 1,000 \u500b Token \u5927\u7d04\u9700\u8981 0.13 GB \u7684 KV Cache\u3002\u5728 8K \u4e0a\u4e0b\u6587\u300132 \u500b\u4f75\u767c\u6703\u8a71\u4e0b\uff0c\u55ae KV Cache \u5c31\u53ef\u4ee5\u9054\u5230\u7d04 33 GB\u3002\u5c07\u9019\u4e00\u5197\u9918\u9700\u6c42\u52a0\u5230\u524d\u9762\u6b0a\u91cd\u7684\u986f\u5b58\u9700\u6c42\u4e0a\uff0c\u624d\u80fd\u5728\u771f\u6b63\u63a1\u8cfc\u786c\u9ad4\u524d\u505a\u51fa\u5408\u7406\u6c7a\u7b56\u3002<\/p>\n 2026 \u5e74 RAG \u7684\u4e09\u7a2e GPU \u914d\u7f6e<\/strong><\/h2>\n \u5165\u9580\u7d1a\u3001\u6a19\u6e96\u7d1a\u8207\u751f\u7522\u7d1a<\/h3>\n \u4f60\u53ef\u4ee5\u5c07\u6aa2\u7d22\u670d\u52d9\u8207\u4ee5\u4e0b\u4e09\u985e\u786c\u9ad4\u5c64\u7d1a\u9032\u884c\u5339\u914d\u3002\u5165\u9580\u7d1a\u63a1\u7528\u55ae\u584a NVIDIA L4 24 GB\u3002\u9019\u5f35\u5361\u53ef\u4ee5\u57f7\u884c 7B\u201314B \u7684 FP16 \u6a21\u578b\uff0c\u986f\u5b58\u4f54\u7528\u5927\u81f4\u5728 12\u201316 GB\uff0c\u4e26\u80fd\u8207\u5d4c\u5165\u6a21\u578b\u5171\u5b58\u3002L4 \u900f\u904e\u539f\u751f FP8 \u652f\u63f4\u53ef\u63d0\u4f9b 242 TFLOPS\uff0c\u63a8\u7406\u541e\u5410\u91cf\u662f FP16 \u7684\u5169\u500d\uff0c\u662f\u8cc7\u6599\u4e2d\u5fc3\u5834\u666f\u4e2d\u670d\u52d9 7B\u201313B \u6a21\u578b\u6642\u6bcf Token \u6210\u672c\u6700\u4f4e\u7684 GPU\u3002\u4e00\u500b 70B \u6a21\u578b\u5728 4-bit \u4e0b\u5927\u7d04\u9700\u8981 35 GB \u986f\u5b58\uff0c\u5df2\u7d93\u8d85\u51fa\u4e86 L4 \u7684 24 GB\u3002\u82e5\u4f60\u4f7f\u7528\u8a72\u5c64\u7d1a\uff0c\u8acb\u52d9\u5fc5\u4fdd\u6301\u8a9e\u6599\u898f\u6a21\u8f03\u5c0f\u3001\u4f75\u767c\u91cf\u8f03\u4f4e\u3002<\/p>\n \u6a19\u6e96\u7d1a\u4f7f\u7528\u55ae\u584a L40S 48 GB \u6216 H100 80 GB\uff0c\u8207\u524d\u6587\u63d0\u5230\u7684\u300c\u5728\u55ae\u5361\u4e0a\u70ba 50 \u500b\u4f75\u767c\u4ee3\u7406\u5927\u7d04\u4f54\u7528 42 GB \u986f\u5b58\u300d\u7684\u57fa\u7dda\u9ad8\u5ea6\u5339\u914d\u3002\u751f\u7522\u7d1a\u5247\u4f7f\u7528\u591a\u5f35 H100 \u6216 H200\uff0c\u4ee5\u56e0\u61c9 200+ \u4f75\u767c\u4f7f\u7528\u8005\u548c\u591a\u500b\u4e0d\u540c\u7528\u4f8b\u3002\u5177\u9ad4\u986f\u5b58\u9700\u6c42\uff0c\u9084\u8981\u53d6\u6c7a\u65bc\u6a21\u578b\u5927\u5c0f\u8207\u4f75\u767c\u76ee\u6a19\u3002<\/p>\n \n\n\n\n\n\n<\/colgroup>\n\n\n\n\n\n \u5c64\u7d1a<\/th>\n GPU<\/th>\n \u9069\u7528\u5834\u666f<\/th>\n \u6a21\u578b\u7bc4\u570d<\/th>\n<\/tr>\n \u5165\u9580\u7d1a<\/td>\n L4 24 GB<\/td>\n \u79c1\u6709 RAG\u3001\u5c0f\u898f\u6a21\u8a9e\u6599<\/td>\n 7B\u201314B FP16<\/td>\n<\/tr>\n \u6a19\u6e96\u7d1a<\/td>\n L40S 48 GB \/ H100 80 GB<\/td>\n 50 \u500b\u4f75\u767c\u4ee3\u7406<\/td>\n 70B 4-bit<\/td>\n<\/tr>\n \u751f\u7522\u7d1a<\/td>\n \u591a\u5f35 H100 \/ H200<\/td>\n 200+ \u4f7f\u7528\u8005<\/td>\n \u6df7\u5408\u6a21\u578b\u7d44\u5408<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \u6bcf\u67e5\u8a62\u6210\u672c\u5c0d\u6bd4<\/h3>\n \u6bcf\u6b21\u67e5\u8a62\u7684\u6210\u672c\u7531 Token \u6578\u91cf\u8207\u786c\u9ad4\u6210\u672c\u5171\u540c\u6c7a\u5b9a\u3002\u5c0d\u8f15\u91cf\u8ca0\u8f09\u800c\u8a00\uff0c\u5165\u9580\u7d1a\u5728\u50f9\u683c\u4e0a\u66f4\u5177\u512a\u52e2\uff1a\u55ae\u584a L4 \u5728\u8cc7\u6599\u4e2d\u5fc3\u7d1a GPU \u4e2d\uff0c\u70ba 7B\u201313B \u6a21\u578b\u63d0\u4f9b\u4e86\u6700\u4f4e\u7684\u6bcf Token \u6210\u672c\u3002\u6a19\u6e96\u7d1a\u6309\u5c0f\u6642\u8a08\u50f9\u66f4\u9ad8\uff0c\u4f46\u53ef\u4ee5\u652f\u63f4\u66f4\u591a\u7684 Token\/s\u3002\u751f\u7522\u7d1a\u5247\u5c07\u6574\u9ad4\u6210\u672c\u6524\u8584\u81f3\u5927\u91cf\u4f7f\u7528\u8005\uff0c\u56e0\u800c\u5728\u9ad8\u541e\u5410\u5834\u666f\u4e0b\uff0c\u6bcf\u6b21\u67e5\u8a62\u6210\u672c\u53cd\u800c\u6703\u964d\u4f4e\u3002\u5728\u6c7a\u5b9a\u4e0a\u591a GPU \u4e4b\u524d\uff0c\u4e00\u5b9a\u8981\u6839\u64da\u81ea\u5df1\u771f\u5be6\u7684\u696d\u52d9\u8ca0\u8f09\u505a\u57fa\u6e96\u6e2c\u8a66\u3002<\/p>\n \u4f60\u7a76\u7adf\u9700\u8981\u591a\u5c11 GPU \u986f\u5b58\uff1f\u5169\u689d\u5bb9\u91cf\u898f\u5283\u516c\u5f0f<\/strong><\/h2>\n \u73fe\u5728\u4f60\u53ef\u4ee5\u628a\u4e0a\u9762\u7684\u62c6\u89e3\u8f49\u63db\u6210\u5169\u689d\u516c\u5f0f\u3002\u7b2c\u4e00\u689d\u7528\u65bc\u4f30\u7b97\u7d22\u5f15\u986f\u5b58\uff0c\u7b2c\u4e8c\u689d\u7528\u65bc\u4f30\u7b97\u5168\u57df\u90e8\u7f72\u7684\u7e3d\u986f\u5b58\u3002<\/p>\n \u7d22\u5f15\u986f\u5b58\u516c\u5f0f<\/h3>\n \u5f9e\u539f\u59cb\u5411\u91cf\u5132\u5b58\u958b\u59cb\u3002\u516c\u5f0f\u70ba\uff1avectors \u00d7 dimensions \u00d7 bytes-per-value \u00d7 (1 + overhead) \u00f7 1e9 = GB\u3002\u5728\u6bcf\u503c 4 \u4f4d\u5143\u7d44\u300110% \u984d\u5916\u958b\u92b7\u7684\u5047\u8a2d\u4e0b\uff0c500 \u842c\u689d\u5411\u91cf\u5728 1024 \u7dad\u6642\u9700\u8981 20.48 GB \u986f\u5b58\u3002\u76f8\u540c\u8a9e\u6599\u5728 768 \u7dad\u6642\u50c5\u9700 15.36 GB\uff0c\u5728 384 \u7dad\u6642\u5247\u53ea\u9700 7.68 GB\u3002\u5982\u679c\u5c07\u8a9e\u6599\u7ffb\u500d\u5230 1,000 \u842c\u689d\u5411\u91cf\uff0c\u5247\u6bcf\u500b\u6578\u5b57\u4e5f\u6703\u7ffb\u500d\uff0c1024 \u7dad\u7684\u986f\u5b58\u9700\u6c42\u6703\u9054\u5230 40.96 GB\u3002<\/p>\n \u539f\u59cb\u5411\u91cf\u9084\u4e0d\u662f\u5168\u90e8\u3002\u5be6\u969b\u7cfb\u7d71\u9084\u9700\u8981\u7d22\u5f15\u7d50\u69cb\uff0c\u4f8b\u5982 HNSW \u5716\u908a\u6216 IVF \u5012\u6392\u5217\u8868\uff0c\u9019\u6703\u70ba\u6bcf\u689d\u5411\u91cf\u984d\u5916\u589e\u52a0 10\u2013100+ \u4f4d\u5143\u7d44\u3002\u4f60\u9084\u9700\u8981\u5411\u91cf ID \u4f86\u628a\u6aa2\u7d22\u7d50\u679c\u6620\u5c04\u56de\u6587\u4ef6\uff0c\u901a\u5e38\u6bcf\u500b ID \u9700\u8981 8 \u4f4d\u5143\u7d44\u3002\u6642\u9593\u6233\u3001\u6b0a\u9650\u3001\u904e\u6ffe\u6b04\u4f4d\u7b49\u4e2d\u7e7c\u8cc7\u6599\u6703\u758a\u52a0\u66f4\u591a\u7a7a\u9593\u3002\u5c0d\u8a18\u61b6\u9ad4\u914d\u7f6e\u5668\u958b\u92b7\u3001\u788e\u7247\u3001\u5c0d\u9f4a\u548c\u586b\u5145\u7684\u9810\u7559\uff0c\u5247\u53ef\u80fd\u518d\u5403\u6389 5\u201315%\u3002\u5982\u679c\u4f60\u95dc\u5fc3\u53ef\u9760\u6027\uff0c\u9084\u9700\u8981\u505a\u8cc7\u6599\u526f\u672c\uff0c\u9019\u6703\u4f7f\u7e3d\u8a18\u61b6\u9ad4\u7ffb\u500d\u3002<\/p>\n \u7e3d\u986f\u5b58\u516c\u5f0f<\/h3>\n \u63a5\u4e0b\u4f86\u628a\u6240\u6709\u6d88\u8cbb\u8005\u52a0\u7e3d\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\u9ad4\u91cf\u901a\u5e38\u975e\u5e38\u5c0f\uff0c\u53ef\u4ee5\u8996\u4f5c\u5e38\u6578\u9805\uff1b\u7d22\u5f15\u7528\u4e0a\u9762\u7684\u516c\u5f0f\u8a08\u7b97\uff1b\u6a21\u578b\u6b0a\u91cd\u5247\u4f86\u81ea\u65bc\u4f60\u9078\u5b9a\u7684\u91cf\u5316\u65b9\u5f0f\uff1bKV Cache \u5247\u6703\u96a8\u6bcf\u500b\u6d3b\u52d5\u6703\u8a71\u7dda\u6027\u6210\u9577\u3002<\/p>\n \u6a21\u578b\u6b0a\u91cd\u7684\u986f\u5b58\u8a08\u7b97\u53ef\u4ee5\u5beb\u6210 (params \u00d7 bits) \/ 8\uff0c\u518d\u52a0\u4e0a 20% \u7684\u5197\u9918\u3002\u4ee5 70B \u6a21\u578b\u5728 4-bit \u4e0b\u70ba\u4f8b\uff1a70 \u00d7 4 \/ 8 = 35 GB\uff0c\u00d7 1.2 \u2248 42 GB \u6a21\u578b\u6b0a\u91cd\u3002\u9019\u4e00\u9ad4\u91cf\u53ef\u4ee5\u88dd\u5165\u4e00\u5f35 80 GB \u7684\u986f\u5b58\u5361\u3002\u9918\u4e0b\u7684\u7d04 38 GB \u5c31\u53ef\u4ee5\u4f5c\u70ba KV Cache \u9810\u7b97\u3002\u9019\u4e5f\u5c0d\u61c9\u4e86\u6587\u7ae0\u958b\u982d\u7684\u5206\u914d\u65b9\u5f0f\uff1a\u5927\u7d04 42 GB \u88ab\u6a21\u578b\u53ca\u57fa\u790e\u8a2d\u65bd\u4f54\u7528\uff0c\u7559\u4e0b\u7d04 38 GB \u7d66 KV Cache\u3002<\/p>\n \u9019\u500b Cache \u9810\u7b97\u9700\u8981\u6db5\u84cb\u6240\u6709\u4f75\u767c\u4ee3\u7406\u3002\u4f8b\u5982\uff0cQwen2.5-14B \u5728 FP16 \u4e0b\uff0c\u6bcf\u500b\u4f75\u767c\u4f7f\u7528\u8005\u5728 32K \u4e0a\u4e0b\u6587\u6642\u5927\u7d04\u9700\u8981 ~1.5 GB \u7684 KV Cache\u30028 \u500b\u4f75\u767c\u4f7f\u7528\u8005\u5728 128K \u4e0a\u4e0b\u6587\u4e0b\uff0c\u55ae KV Cache \u5c31\u53ef\u4ee5\u4f54\u7528 ~48 GB\u3002\u82e5\u6709 50 \u500b\u4f75\u767c\u4ee3\u7406\uff0c\u4f60\u7684 38 GB Cache \u9810\u7b97\u5c31\u8981\u88ab\u5b83\u5011\u5e73\u5206\uff0c\u9019\u6703\u76f4\u63a5\u9650\u5236\u6bcf\u500b\u6703\u8a71\u53ef\u7528\u7684\u4e0a\u4e0b\u6587\u9577\u5ea6\u3002\u6709\u8cc7\u6599\u6307\u51fa\uff0c\u6bcf\u500b Token \u5927\u7d04\u9700\u8981 800 KB \u7684 KV Cache\uff0c\u90a3\u9ebc\u5728\u6700\u58de\u60c5\u6cc1\u4e0b\uff0c\u4e00\u500b p99 \u8acb\u6c42\u7684 15,700 \u500b Token \u6703\u6d88\u8017\u7d04 12.5 GB \u7684 Cache\u3002\u5118\u7ba1\u91cf\u5316\u53ef\u4ee5\u58d3\u7e2e\u6a21\u578b\u6b0a\u91cd\u9ad4\u7a4d\uff0c\u4f46\u9762\u5c0d\u66f4\u9577\u4e0a\u4e0b\u6587\u3001\u66f4\u5927\u6279\u91cf\u548c\u66f4\u5927\u6a21\u578b\u6642\uff0cGPU \u7e3d\u986f\u5b58\u4ecd\u7136\u662f\u786c\u6027\u7d04\u675f\u3002<\/p>\n \u5728\u8cfc\u8cb7\u786c\u9ad4\u524d\uff0c\u4e00\u5b9a\u8981\u5148\u8dd1\u4e00\u904d\u9019\u4e9b\u6578\u5b57\u3002\u5b83\u5011\u80fd\u544a\u8a34\u4f60\uff1a\u9019\u5957\u6aa2\u7d22\u670d\u52d9\u662f\u80fd\u585e\u9032\u4e00\u5f35\u5361\u88e1\uff0c\u9084\u662f\u5fc5\u9808\u4e0a\u591a\u5361\u7bc0\u9ede\u3002<\/p>\n \n <\/div>\n<\/div>\n \u7528\u4e00\u4efd\u6aa2\u67e5\u6e05\u55ae\u4f86\u898f\u5283\u4f60\u7684 RAG \u90e8\u7f72\uff1a\u4f30\u7b97\u8a9e\u6599\u5411\u91cf\u7e3d\u91cf\u3001\u9078\u64c7\u5d4c\u5165\u7dad\u5ea6\u3001\u78ba\u5b9a LLM \u898f\u6a21\u8207\u91cf\u5316\u65b9\u5f0f\u3001\u70ba\u5cf0\u503c\u4f75\u767c\u9810\u7559 KV Cache \u7a7a\u9593\uff0c\u4e26\u9810\u7559 10\u201320% \u7684\u5197\u9918\u7de9\u885d\u3002<\/p>\n \u6574\u9ad4\u7bc4\u570d\u662f\u6e05\u6670\u7684\uff1a\u79c1\u6709\u578b RAG \u90e8\u7f72\u53ef\u4ee5\u585e\u9032 24 GB \u986f\u5b58\uff1b\u6a19\u6e96\u5316\u90e8\u7f72\uff0c\u5728 50 \u500b\u4f75\u767c\u4ee3\u7406\u4e0b\u5927\u7d04\u6703\u4f54\u7528 42 GB\uff1b\u751f\u7522\u7d1a\u90e8\u7f72\uff0c\u5728 200+ \u4f75\u767c\u4f7f\u7528\u8005\u4e0b\u5f80\u5f80\u6703\u7a81\u7834 320 GB \u986f\u5b58\u3002<\/p>\n \u5ffd\u7565\u9a57\u8b49\u662f\u5e38\u898b\u9677\u9631\uff1a\u5bb9\u91cf\u898f\u5283\u516c\u5f0f\u7d66\u51fa\u7684\u53ea\u662f\u4f30\u7b97\uff0c\u800c\u4e0d\u662f\u4fdd\u8b49\u3002\u5728\u64f4\u5c55\u5230\u751f\u7522\u74b0\u5883\u4e4b\u524d\uff0c\u4e00\u5b9a\u8981\u5148\u5728\u55ae\u5361\u4e0a\u7528\u63a5\u8fd1\u771f\u5be6\u7684\u6d41\u91cf\u505a\u58d3\u6e2c\u3002<\/p>\n \u628a\u4f30\u7b97\u7d50\u679c\u7576\u4f5c\u51fa\u767c\u9ede\uff1a\u5148\u5728\u4e00\u584a\u7368\u7acb GPU \u4e0a\u90e8\u7f72\uff0c\u7528\u771f\u5be6\u7684\u63d0\u793a\u8a5e\u548c\u4f75\u767c\u8acb\u6c42\u9032\u884c\u6e2c\u8a66\uff0c\u7136\u5f8c\u6e2c\u91cf\u5be6\u969b\u986f\u5b58\u4f54\u7528\u548c\u5ef6\u9072\uff0c\u518d\u6c7a\u5b9a\u5f8c\u7e8c\u64f4\u5bb9\u7b56\u7565\u3002<\/p>\n \u5e38\u898b\u554f\u984c\uff08FAQ\uff09<\/strong><\/h2>\n \u5165\u9580\u7d1a\u65b9\u6848\u9700\u8981\u591a\u5c11 GPU \u986f\u5b58\uff1f<\/h3>\n \u55ae\u584a L4 24 GB \u5c31\u80fd\u57f7\u884c 7B\u201314B \u7684 FP16 \u6a21\u578b\uff0c\u4e26\u53ef\u4ee5\u5728\u540c\u4e00\u5f35\u5361\u4e0a\u5bb9\u7d0d\u5d4c\u5165\u6a21\u578b\u3002\u53ea\u8981\u4fdd\u6301\u8a9e\u6599\u898f\u6a21\u8f03\u5c0f\u3001\u4f75\u767c\u91cf\u8f03\u4f4e\uff0c\u9019\u4e00\u5c64\u7d1a\u5c31\u5f88\u9069\u5408\u7528\u65bc\u4f4e\u6d41\u91cf\u7684\u79c1\u6709 RAG \u90e8\u7f72\u3002<\/p>\n \u70ba\u4ec0\u9ebc\u5d4c\u5165\u6a21\u578b\u7684\u986f\u5b58\u4f54\u7528\u9019\u9ebc\u5c0f\uff1f<\/h3>\n \u73fe\u4ee3\u5d4c\u5165\u7de8\u78bc\u5668\u90fd\u5f88\u7dca\u6e4a\u3002\u4f60\u901a\u5e38\u6703\u4ee5 FP16 \u6216 INT8 \u7cbe\u5ea6\u57f7\u884c\u5d4c\u5165\u6a21\u578b\uff0c\u4e26\u8b93\u5b83\u8207\u6aa2\u7d22\u6d41\u6c34\u7dda\u5171\u4eab\u4e0a\u4e0b\u6587\u3002\u73fe\u5be6\u4e2d\uff0c\u5d4c\u5165\u5074\u7684\u986f\u5b58\u4f54\u7528\u5927\u591a\u5728 1\u201314 GB\uff0c\u800c\u4e0d\u662f\u820a\u6307\u5357\u4e2d\u63d0\u5230\u7684 2\u20138 GB\u3002\u8207 LLM \u76f8\u6bd4\uff0c\u672c\u6307\u5357\u5c07\u5d4c\u5165\u6a21\u578b\u7684\u986f\u5b58\u4f54\u7528\u8996\u70ba\u300c\u8fd1\u4f3c\u53ef\u4ee5\u5ffd\u7565\u7684\u5e38\u6578\u300d\u3002<\/p>\n \u6211\u53ef\u4ee5\u628a\u5411\u91cf\u7d22\u5f15\u4e0b\u653e\u5230 CPU \u8a18\u61b6\u9ad4\u55ce\uff1f<\/h3>\n \u53ef\u4ee5\uff0c\u9019\u6a23\u505a\u53ef\u4ee5\u70ba LLM \u9a30\u51fa\u66f4\u591a GPU \u986f\u5b58\u3002\u4ee3\u50f9\u662f\u5ef6\u9072\u8b8a\u9ad8\uff1aCPU \u6aa2\u7d22\u8017\u6642\u53ef\u80fd\u662f LLM \u9810\u586b\u968e\u6bb5\u7684\u5169\u500d\u3002\u5206\u5c64\u8a2d\u8a08\u901a\u5e38\u6703\u628a\u71b1\u9ede\u53e2\u96c6\u5feb\u53d6\u5728 GPU\u3001\u51b7\u8cc7\u6599\u653e\u5728 CPU\uff0c\u672c\u6307\u5357\u63a8\u85a6\u9019\u7a2e\u65b9\u5f0f\u3002<\/p>\n \u4f75\u767c\u6703\u600e\u6a23\u6539\u8b8a\u6211\u7684\u5bb9\u91cf\u898f\u5283\uff1f<\/h3>\n KV Cache \u6703\u96a8\u8457\u6bcf\u500b\u6d3b\u52d5\u6703\u8a71\u7dda\u6027\u6210\u9577\u3002\u5728 50 \u500b\u4f75\u767c\u4ee3\u7406\u7684\u57fa\u7dda\u4e0b\uff0c\u4f60\u6703\u5728\u7e3d 42 GB \u4f54\u7528\u4e4b\u5f8c\uff0c\u5269\u4e0b\u5927\u7d04 38 GB \u7d66 KV Cache\u3002\u7576\u4f75\u767c\u589e\u52a0\u5230 200 \u500b\u4f7f\u7528\u8005\u6642\uff0c\u55ae KV Cache \u5c31\u53ef\u80fd\u8f15\u9b06\u7a81\u7834 100 GB\uff0c\u5f9e\u800c\u903c\u8feb\u4f60\u63a1\u7528\u591a GPU \u7bc0\u9ede\u3002\u56e0\u6b64\u8981\u76e1\u91cf\u58d3\u7e2e\u5411\u91cf\u7d22\u5f15\u5728 GPU \u4e0a\u7684\u4f54\u7528\u3002<\/p>\n \u5728\u63a1\u8cfc GPU \u57fa\u790e\u8a2d\u65bd\u4e4b\u524d\uff0c\u5982\u4f55\u9a57\u8b49\u6211\u7684\u5bb9\u91cf\u4f30\u7b97\uff1f<\/h3>\n \u5148\u5728\u4e00\u584a\u7368\u7acb GPU \u4e0a\u90e8\u7f72\u3002\u7528\u771f\u5be6\u7684\u8f38\u5165\u63d0\u793a\u548c\u4f75\u767c\u8acb\u6c42\u9032\u884c\u6e2c\u8a66\uff0c\u6e2c\u91cf\u5be6\u969b\u986f\u5b58\u4f54\u7528\u8207\u5ef6\u9072\uff0c\u4e26\u984d\u5916\u9810\u7559 10\u201320% \u7684\u788e\u7247\u8207\u6846\u67b6\u958b\u92b7\u3002\u672c\u6307\u5357\u5c07\u5bb9\u91cf\u898f\u5283\u516c\u5f0f\u8996\u70ba\u8d77\u9ede\uff0c\u800c\u4e0d\u662f\u7cbe\u78ba\u627f\u8afe\u3002<\/p>\n","protected":false},"excerpt":{"rendered":" \u5728 2026 \u5e74\uff0c\u4e00\u500b\u751f\u7522\u7d1a RAG \u6aa2\u7d22\u670d\u52d9\uff0c\u5728\u55ae\u5f35 GPU \u4e0a\u4ee5 50 \u500b\u4f75\u767c\u4ee3\u7406\u3001\u5c11\u65bc 500 \u842c\u6587\u4ef6\u8a9e […]<\/p>\n Read More…<\/a><\/p>\n","protected":false},"author":2,"featured_media":34686,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4815],"tags":[13324,13325,13326,13327],"class_list":["post-34690","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-america-dedicated-server-tc","tag-retrieval-service","tag-gpu-memory","tag-model-deployment","tag-13327"],"acf":[],"yoast_head":"\n