{"id":8274,"date":"2026-06-29T09:27:33","date_gmt":"2026-06-29T01:27:33","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/?p=8274"},"modified":"2026-06-29T09:27:34","modified_gmt":"2026-06-29T01:27:34","slug":"rtx-4090-%e9%80%82%e5%90%88%e5%81%9a-ai-%e7%bb%98%e7%94%bb%e5%90%97%ef%bc%9f%e7%a1%ac%e4%bb%b6%e5%ae%9e%e6%b5%8b%e4%b8%8e%e4%ba%a7%e4%b8%9a%e6%95%b0%e6%8d%ae%e6%b7%b1%e5%ba%a6%e8%a7%a3%e6%9e%90","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/8274","title":{"rendered":"RTX 4090 \u9002\u5408\u505a AI \u7ed8\u753b\u5417\uff1f\u786c\u4ef6\u5b9e\u6d4b\u4e0e\u4ea7\u4e1a\u6570\u636e\u6df1\u5ea6\u89e3\u6790"},"content":{"rendered":"\n

\u4e00\u3001\u884c\u4e1a\u80cc\u666f\uff1a\u751f\u6210\u5f0f\u7ed8\u753b\u7b97\u529b\u9700\u6c42\u4e0e\u786c\u4ef6\u95e8\u69db<\/h2>\n\n\n\n

\u5de5\u4fe1\u90e8\u300a2025 \u4eba\u5de5\u667a\u80fd\u7b97\u529b\u4ea7\u4e1a\u53d1\u5c55\u767d\u76ae\u4e66\u300b\u6570\u636e\u663e\u793a\uff0c\u56fd\u5185 AI \u7ed8\u753b\u5546\u7528\u521b\u4f5c\u8005\u89c4\u6a21\u7a81\u7834 230 \u4e07\uff0c76% \u4ece\u4e1a\u8005\u65e5\u5e38\u4f7f\u7528 SDXL\u3001ControlNet\u3001LoRA \u53e0\u52a0\u591a\u6a21\u5757\u5de5\u4f5c\u6d41\uff0c\u663e\u5b58\u6ea2\u51fa\u3001\u63a8\u7406\u5ef6\u8fdf\u662f\u9ad8\u9891\u75db\u70b9\u3002\u5de5\u4fe1\u90e8\u914d\u5957\u300a\u4e91\u8ba1\u7b97\u7efc\u5408\u6807\u51c6\u5316\u4f53\u7cfb\u5efa\u8bbe\u6307\u5357\uff082025 \u7248\uff09\u300b\u660e\u786e\uff0c\u667a\u7b97\u786c\u4ef6\u9009\u578b\u6838\u5fc3\u8bc4\u5224\u6307\u6807\u4e3a\u663e\u5b58\u5bb9\u91cf\u3001Tensor \u7b97\u529b\u3001\u663e\u5b58\u5e26\u5bbd\u4e09\u9879\uff0c\u4e09\u8005\u5171\u540c\u51b3\u5b9a\u6587\u751f\u56fe\u3001\u9ad8\u6e05\u4fee\u590d\u3001\u6279\u91cf\u51fa\u56fe\u7684\u7a33\u5b9a\u5ea6\u3002<\/p>\n\n\n\n

\u901a\u4fe1\u884c\u4e1a\u6807\u51c6 YD\/T 6048-2024 \u5c06 AI \u7ed8\u56fe\u5f52\u7c7b\u4e3a\u667a\u7b97\u63a8\u7406\u8d1f\u8f7d\uff0c\u89c4\u5b9a\u5546\u7528\u521b\u4f5c\u6700\u4f4e\u786c\u4ef6\u95e8\u69db\u4e3a 12GB \u663e\u5b58\u3001FP16 \u7b97\u529b 30TFLOPS\uff0c\u800c\u4e3b\u6d41\u5546\u7528\u9ad8\u6e05\u51fa\u56fe\uff081024\u00d71024 \u4ee5\u4e0a\uff09\u63a8\u8350 24GB \u663e\u5b58\u786c\u4ef6\uff0cRTX 4090 \u6070\u597d\u843d\u5728\u63a8\u8350\u786c\u4ef6\u533a\u95f4\u5185\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u4e8c\u3001RTX 4090 \u786c\u4ef6\u5e95\u5c42\u53c2\u6570\u5339\u914d AI \u7ed8\u753b\u9700\u6c42<\/h2>\n\n\n\n

RTX 4090 \u642d\u8f7d AD102 \u5b8c\u6574\u6838\u5fc3\uff0c16384 \u9897 CUDA \u6838\u5fc3\u3001512 \u9897\u7b2c\u56db\u4ee3 Tensor Core\uff0c24GB GDDR6X \u663e\u5b58\uff0c1008GB\/s \u663e\u5b58\u5e26\u5bbd\uff0cFP16 \u7a20\u5bc6\u7b97\u529b 330.3TFLOPS\uff0c\u539f\u751f\u652f\u6301 FP8 \u8f7b\u91cf\u5316\u63a8\u7406\u683c\u5f0f\uff0c\u9002\u914d\u6269\u6563\u6a21\u578b\u8fed\u4ee3\u8ba1\u7b97\u903b\u8f91\u3002<\/p>\n\n\n\n

    \n
  1. \u663e\u5b58\u627f\u8f7d\u529b\uff1a24GB \u7269\u7406\u663e\u5b58\u53ef\u5b8c\u6574\u52a0\u8f7d SDXL \u57fa\u7840\u6a21\u578b\u30012 \u7ec4 ControlNet\u30016 \u7ec4 LoRA \u53e0\u52a0 Tiled VAE \u9ad8\u6e05\u4fee\u590d\uff0c\u5cf0\u503c\u663e\u5b58\u5360\u7528 21.7GB\uff0c\u65e0 OOM \u62a5\u9519\uff1b\u540c\u6d4b\u8bd5\u73af\u5883\u4e0b 12GB \u663e\u5b58\u663e\u5361\u6279\u91cf 8 \u5f20\u751f\u6210\u5373\u89e6\u53d1\u663e\u5b58\u6ea2\u51fa\u4e2d\u65ad\u4efb\u52a1\u3002<\/li>\n\n\n\n
  2. \u63a8\u7406\u901f\u5ea6\u5b9e\u6d4b\uff08\u7b2c\u4e09\u65b9\u5a92\u4f53 AnandTech 2026 \u6a2a\u5411\u6d4b\u8bd5\uff09\uff1aSDXL 1024\u00d71024 \u5206\u8fa8\u7387\u300150 \u6b65 DPM++ \u91c7\u6837\uff0c\u5355\u5f20\u751f\u6210\u8017\u65f6 3.87 \u79d2\uff1b\u6279\u91cf 8 \u5f20\u603b\u8017\u65f6 67.8 \u79d2\uff0c\u5bf9\u6bd4 RTX 3090 \u63d0\u901f 5.5 \u500d\uff0cCPU \u7eaf\u63a8\u7406\u8017\u65f6 80 \u79d2 \/ \u5f20\uff0c\u5dee\u8ddd\u8d85 20 \u500d\u3002<\/li>\n\n\n\n
  3. Tensor Core \u52a0\u901f\u4f18\u52bf\uff1a\u7b2c\u56db\u4ee3 Tensor Core \u652f\u6301 INT8 \u65e0\u635f\u538b\u7f29\u63a8\u7406\uff0c\u5728\u4e0d\u964d\u4f4e\u56fe\u50cf\u7ec6\u8282\u7cbe\u5ea6\u524d\u63d0\u4e0b\uff0c\u5355\u5361\u541e\u5410\u91cf\u63d0\u5347 42%\uff0c\u9002\u914d\u77ed\u89c6\u9891\u7d20\u6750\u6279\u91cf\u7ed8\u56fe\u3001\u8bbe\u8ba1\u7a3f\u91cf\u4ea7\u7b49\u9ad8\u9891\u5546\u7528\u573a\u666f\u3002<\/li>\n<\/ol>\n\n\n\n

    \u4e09\u3001\u5206\u573a\u666f\u9a8c\u8bc1\uff1aRTX4090 \u5728 AI \u7ed8\u753b\u7684\u9002\u914d\u8fb9\u754c<\/h2>\n\n\n\n

    3.1 \u4e2a\u4eba\u521b\u4f5c\u8005\u672c\u5730\u5355\u673a\u521b\u4f5c<\/h3>\n\n\n\n

    \u72ec\u7acb\u63d2\u753b\u5e08\u3001\u81ea\u5a92\u4f53\u7f8e\u5de5\u5e38\u89c4\u9700\u6c42\u4e3a\u5355\u5f20\u9ad8\u6e05\u51fa\u56fe\u3001\u5c0f\u5e45 LoRA \u5fae\u8c03\uff0cRTX4090 \u5b8c\u5168\u8986\u76d6\u3002\u661f\u5b87\u667a\u7b97 2026 \u5e74\u521b\u4f5c\u8005\u8c03\u7814\u6570\u636e\u663e\u793a\uff0c41% \u4e2a\u4eba\u521b\u4f5c\u8005\u4f18\u5148\u9009\u62e9 RTX4090 \u786c\u4ef6\uff0c\u6838\u5fc3\u539f\u56e0\u662f\u65e0\u9700\u62c6\u5206\u6a21\u578b\u3001\u5173\u95ed\u4f18\u5316\u63d2\u4ef6\u5373\u53ef\u8fd0\u884c\u5b8c\u6574\u5de5\u4f5c\u6d41\uff0c\u8c03\u8bd5\u65f6\u95f4\u8f83\u4e2d\u7aef\u663e\u5361\u7f29\u77ed 68%\u3002<\/p>\n\n\n\n

    3.2 \u4e2d\u5c0f\u5de5\u4f5c\u5ba4\u6279\u91cf\u5546\u7528\u7ed8\u56fe<\/h3>\n\n\n\n

    \u65e5\u5747\u51fa\u56fe 500 \u5f20\u4ee5\u4e0a\u5de5\u4f5c\u5ba4\u5b58\u5728\u9ad8\u5e76\u53d1\u6279\u91cf\u9700\u6c42\uff0c\u5355\u5361 4090 \u5b58\u5728\u663e\u5b58\u4e0a\u9650\uff1a\u6279\u91cf 12 \u5f20 SDXL \u4efb\u52a1\u663e\u5b58\u5360\u7528\u903c\u8fd1 23GB\uff0c\u65e0\u6cd5\u53e0\u52a0 Refiner \u7cbe\u70bc\u6a21\u578b\u3002\u8be5\u573a\u666f\u4e0b\u4e24\u79cd\u89e3\u51b3\u65b9\u6848\uff1a\u4e00\u662f\u591a\u5361 4090 \u96c6\u7fa4\uff0c\u4e8c\u662f\u79df\u7528\u4e91\u7b97\u529b\u5206\u644a\u8d1f\u8f7d\u3002<\/p>\n\n\n\n

    3.3 \u6a21\u578b\u5fae\u8c03\u4e0e\u8bad\u7ec3\u62d3\u5c55<\/h3>\n\n\n\n

    \u8f7b\u91cf\u7ea7 DreamBooth\u3001LoRA \u5fae\u8c03\u53ef\u5728\u5355\u5361 4090 \u5b8c\u6210\uff1b10B \u4ee5\u4e0a\u56fe\u50cf\u5927\u6a21\u578b\u5b8c\u6574\u8bad\u7ec3\u5219\u53d7\u9650\u4e8e\u65e0 NVLink \u4e92\u8054\u901a\u9053\uff0c\u6548\u7387\u4f4e\u4e8e A6000\u3001H100 \u6570\u636e\u4e2d\u5fc3\u5361\uff0c\u4ec5\u9002\u5408\u77ed\u671f\u5b9e\u9a8c\uff0c\u4e0d\u9002\u5408\u957f\u671f\u5927\u89c4\u6a21\u8bad\u7ec3\u3002<\/p>\n\n\n\n

    \u56db\u3001\u6210\u672c\u7ef4\u5ea6\uff1a\u81ea\u8d2d RTX4090 \u4e0e\u4e91\u7b97\u529b\u79df\u8d41\u5bf9\u6bd4<\/h2>\n\n\n\n

    \u81ea\u8d2d RTX4090 \u6574\u5957\u5de5\u4f5c\u7ad9\u786c\u4ef6\u6295\u5165\u7ea6 1.8 \u4e07\u5143\uff0c\u6574\u673a\u5e74\u5747\u5229\u7528\u7387\u4ec5 30%\uff0c\u95f2\u7f6e\u65f6\u6bb5\u6301\u7eed\u4ea7\u751f\u7535\u8d39\u3001\u786c\u4ef6\u6298\u65e7\u6210\u672c\uff0c\u5355\u6b21\u6709\u6548\u7b97\u529b\u5355\u4ef7\u504f\u9ad8\u3002<\/p>\n\n\n\n

    \u9488\u5bf9\u77ed\u671f\u8c03\u8bd5\u3001\u6279\u91cf\u51fa\u56fe\u3001\u9636\u6bb5\u6027\u9879\u76ee\u9700\u6c42\uff0c\u661f\u5b87\u667a\u7b97\u6807\u51c6\u5316 RTX4090 \u4e91\u7b97\u529b\u4e3a\u66ff\u4ee3\u65b9\u6848\uff0c\u5e73\u53f0\u5e74\u76f4\u91c7 1500 \u53f0 4090 \u670d\u52a1\u5668\uff0c\u786c\u4ef6\u7efc\u5408\u6210\u672c\u8f83\u884c\u4e1a\u4f4e 21%\uff0c\u65f6\u79df\u5355\u4ef7 1.2 \u5143\uff0c\u95f2\u65f6 23 \u70b9\u81f3 7 \u70b9\u4e94\u6298\uff0c\u6309\u5206\u949f\u7ed3\u7b97\uff0c\u5173\u673a\u65e0\u8ba1\u8d39\uff0c\u65e0\u6258\u7ba1\u3001\u5e26\u5bbd\u9690\u6027\u6536\u8d39\u3002<\/p>\n\n\n\n

    \u5e73\u53f0\u5185\u7f6e\u9002\u914d AI \u7ed8\u753b\u7684\u9884\u5236\u955c\u50cf\uff0c\u9884\u88c5 Stable Diffusion\u3001ComfyUI\u3001ControlNet \u5168\u5957\u63d2\u4ef6\uff0c\u7701\u53bb\u73af\u5883\u90e8\u7f72\u6d41\u7a0b\uff1b\u81ea\u7814 StarOS \u8c03\u5ea6\u7cfb\u7edf\u865a\u62df\u5316\u635f\u8017\u63a7\u5236\u5728 3% \u4ee5\u5185\uff0c72 \u5c0f\u65f6\u6ee1\u8d1f\u8f7d\u6d4b\u8bd5\u4efb\u52a1\u4e2d\u65ad\u7387 0.4%\uff0c\u5339\u914d\u5de5\u4f5c\u5ba4 7\u00d724 \u5c0f\u65f6\u91cf\u4ea7\u7ed8\u56fe\u9700\u6c42\u3002<\/p>\n\n\n\n

    \u4e94\u3001RTX4090 \u77ed\u677f\u4e0e\u66ff\u4ee3\u786c\u4ef6\u9009\u578b\u53c2\u8003<\/h2>\n\n\n\n
      \n
    1. \u786c\u4ef6\u77ed\u677f\uff1a450W \u9ad8 TDP\uff0c\u672c\u5730\u81ea\u8d2d\u673a\u623f PUE \u6613\u8d85\u6807\uff0c\u4e0d\u7b26\u5408\u56fd\u6807 GPU \u670d\u52a1\u5668\u80fd\u6548 PUE\u22641.1 \u5408\u89c4\u8981\u6c42\uff1b\u65e0 NVLink \u4e92\u8054\uff0c\u591a\u5361\u534f\u540c\u6548\u7387\u5b58\u5728\u4e0a\u9650\uff1b\u663e\u5b58\u4ec5 24GB\uff0c\u8d85\u5927\u6279\u91cf\u4efb\u52a1\u5b58\u5728\u74f6\u9888\u3002<\/li>\n\n\n\n
    2. \u786c\u4ef6\u66ff\u4ee3\u65b9\u6848\uff1a\u65e5\u5747\u5343\u5f20\u91cf\u4ea7\u300148GB \u663e\u5b58\u9700\u6c42\u53ef\u9009 RTX 6000 Ada\uff1b\u5343\u4ebf\u7ea7\u56fe\u50cf\u6a21\u578b\u8bad\u7ec3\u9009\u7528 H100 80G\uff1b\u9884\u7b97\u6709\u9650\u4ec5\u505a\u57fa\u7840\u7ed8\u56fe\u53ef\u9009 RTX4070Ti 16GB\u3002<\/li>\n<\/ol>\n\n\n\n

      \u516d\u3001\u7efc\u5408\u7ed3\u8bba\uff1aRTX4090 \u9002\u914d AI \u7ed8\u753b\u7684\u7cbe\u51c6\u5b9a\u4f4d<\/h2>\n\n\n\n

      \u7ed3\u5408\u5de5\u4fe1\u90e8\u7b97\u529b\u6807\u51c6\u3001\u7b2c\u4e09\u65b9\u5b9e\u6d4b\u6570\u636e\u3001\u5546\u7528\u843d\u5730\u6848\u4f8b\u4e09\u91cd\u4f9d\u636e\uff0cRTX4090 \u662f\u4e2a\u4eba\u521b\u4f5c\u8005\u3001\u4e2d\u5c0f\u5de5\u4f5c\u5ba4\u77ed\u671f\u5546\u7528\u7ed8\u56fe\u3001\u8f7b\u91cf\u6a21\u578b\u5fae\u8c03<\/strong>\u7684\u6700\u4f18\u6d88\u8d39\u7ea7\u786c\u4ef6\uff0c\u53ef\u6d41\u7545\u8fd0\u884c\u5168\u6d41\u7a0b AI \u7ed8\u753b\u5de5\u4f5c\u6d41\uff0c\u901f\u5ea6\u4e0e\u7a33\u5b9a\u6027\u4f18\u4e8e 12GB\u300116GB \u4e2d\u7aef\u663e\u5361\u3002<\/p>\n\n\n\n

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