{"id":2334,"date":"2026-03-02T10:12:42","date_gmt":"2026-03-02T02:12:42","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/2334"},"modified":"2026-03-02T10:12:42","modified_gmt":"2026-03-02T02:12:42","slug":"%e8%87%aa%e8%b4%adrtx-4090%e8%bf%98%e6%98%af%e7%a7%9fgpu%e4%ba%91%e4%b8%bb%e6%9c%ba%ef%bc%9f%e4%b8%80%e5%bc%a0%e8%a1%a8%e7%9c%8b%e6%87%82%e8%b0%81%e6%89%8d%e6%98%afai%e7%bb%98%e7%94%bb%e7%9c%9f","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/2334","title":{"rendered":"\u81ea\u8d2dRTX 4090\u8fd8\u662f\u79dfGPU\u4e91\u4e3b\u673a\uff1f\u4e00\u5f20\u8868\u770b\u61c2\u8c01\u624d\u662fAI\u7ed8\u753b\u771f\u9999\u65b9\u6848"},"content":{"rendered":"
\"\u81ea\u8d2dRTX<\/figure>\n
\n

\u201cStable Diffusion XL 1.0 \u53d1\u5e03\u4ec5\u4e09\u4e2a\u6708\uff0cComfyUI \u5c31\u8fed\u4ee3\u4e86 27 \u4e2a\u7248\u672c\uff1b\u6628\u5929\u8fd8\u80fd\u8dd1\u7684 256\u00d7256 \u5c0f\u56fe\u5de5\u4f5c\u6d41\uff0c\u4eca\u5929\u76f4\u63a5\u62a5 CUDA out of memory\u3002\u201d
\n\u2014\u2014 \u67d0\u4f4d\u5728\u8d34\u5427\u54c0\u568e\u7684 4090 \u673a\u4e3b<\/p>\n<\/blockquote>\n

\u8fd9\u6bb5\u5410\u69fd\uff0c\u51e0\u4e4e\u6210\u4e86 2024 \u5e74 AI \u7ed8\u753b\u5708\u7684\u65e5\u5e38\u3002\u672c\u5730\u5361\u7687\u8fd8\u6ca1\u6342\u70ed\uff0c\u6a21\u578b\u5374\u50cf\u6253\u4e86\u9e21\u8840\u4e00\u6837\u75af\u957f\u3002\u4e8e\u662f\uff0c\u4e00\u4e2a\u7075\u9b42\u62f7\u95ee\u88ab\u9876\u4e0a\u70ed\u641c\uff1a\u81ea\u8d2d RTX 4090 \u8fd8\u662f\u79df GPU\u4e91\u4e3b\u673a\uff1f\u6211\u4eec\u628a\u8d26\u7b97\u5230\u5c0f\u6570\u70b9\u540e\u4e24\u4f4d\uff0c\u53d1\u73b0\u7b54\u6848\u5e76\u4e0d\u590d\u6742\u3002<\/p>\n

\n

\u4e00\u3001\u534a\u5e74\u5c31\u843d\u4f0d\uff0c\u672c\u5730\u663e\u5361\u7684\u201c\u5e78\u798f\u7684\u70e6\u607c\u201d<\/h2>\n

SDXL \u6b63\u5f0f\u7248\u628a\u5e95\u6a21\u63a8\u9ad8\u5230 6.94 GB\uff0cControlNet\u3001IP-Adapter\u3001AnimateDiff \u8f6e\u756a\u52a0\u6599\uff0c\u663e\u5b58\u5360\u7528\u4ece 8 GB \u4e00\u8def\u98d9\u5230 16 GB\u3002ComfyUI \u6700\u65b0\u6d4b\u8bd5\u5206\u652f\u751a\u81f3\u628a\u5b98\u65b9\u63a8\u8350\u663e\u5b58\u5199\u5230\u4e86 20 GB\u2014\u2014RTX 4090 \u7684 24 GB \u770b\u4f3c\u5bcc\u88d5\uff0c\u5374\u7ecf\u4e0d\u8d77 Chrome \u591a\u5f00\u51e0\u4e2a\u6807\u7b7e\u3002\u66f4\u5c34\u5c2c\u7684\u662f\uff0cPyTorch 2.2\u3001CUDA 12.3\u3001\u9a71\u52a8 546 \u4e4b\u540e\uff0c\u65e7\u5361\u6027\u80fd\u66f2\u7ebf\u76f4\u63a5\u201c\u9aa8\u6298\u201d\u3002\u534a\u5e74\u524d\u82b1 1.6 \u4e07\u62a2\u5230\u7684\u5361\uff0c\u5982\u4eca\u4e8c\u624b\u5e02\u573a\u5df2\u7ecf\u8dcc\u7834 1.2 \u4e07\uff0c\u6298\u65e7\u8d39\u6bcf\u5c0f\u65f6 0.9 \u5143\uff0c\u6bd4\u7535\u8d39\u8fd8\u8d35\u3002<\/p>\n

\n

\u4e8c\u3001\u6210\u672c\u5bf9\u51b3\uff1a\u4e70\u5361 VS \u79df\u5361\uff0c\u4e00\u5f20\u8868\u770b\u61c2<\/h2>\n\n\n\n\n\n\n\n\n\n\n
\u9879\u76ee<\/th>\n\u81ea\u8d2d RTX 4090 \u5de5\u4f5c\u7ad9<\/th>\n\u661f\u5b87\u667a\u7b97 GPU\u670d\u52a1\u5668\u79df\u7528<\/th>\n<\/tr>\n<\/thead>\n
\u521d\u59cb\u6295\u5165<\/td>\n1.6 \u4e07\u5143\uff08\u663e\u5361\uff09+ 6 \u5343\u5143\uff08\u6574\u673a\uff09<\/td>\n0 \u5143<\/td>\n<\/tr>\n
\u7535\u8017<\/td>\n0.6 \u5143\/\u5c0f\u65f6\uff08\u6ee1\u8f7d 450 W\uff09<\/td>\n0 \u5143\uff08\u542b\u5728\u79df\u91d1\uff09<\/td>\n<\/tr>\n
\u6298\u65e7<\/td>\n0.9 \u5143\/\u5c0f\u65f6\uff08\u6309 2 \u5e74\u6b8b\u503c 0 \u8ba1\u7b97\uff09<\/td>\n0 \u5143<\/td>\n<\/tr>\n
\u8fd0\u7ef4<\/td>\n\u9a71\u52a8\u5347\u7ea7\u3001\u6563\u70ed\u6e05\u7070\u3001\u5b95\u673a\u81ea\u68c0<\/td>\n\u5e73\u53f0 3 \u91cd\u5197\u4f59\u3001\u514d\u8d39\u955c\u50cf\u5347\u7ea7<\/td>\n<\/tr>\n
\u7efc\u5408\u6bcf\u5c0f\u65f6\u6210\u672c<\/td>\n\u2248 1.5 \u5143<\/td>\n0.9 \u5143\uff084090 \u673a\u578b\uff09<\/td>\n<\/tr>\n
\u751f\u6210 1024\u00d71024 \u5355\u5f20\u8017\u65f6<\/td>\n2 \u5206\u949f<\/td>\n30 \u79d2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

\u7ed3\u8bba\uff1a\u8f7b\u5ea6\u73a9\u5bb6\u6bcf\u5929\u8dd1\u56fe 2 \u5c0f\u65f6\uff0c\u4e70\u5361\u8981 365 \u5929\u624d\u80fd\u6253\u5e73\uff1b\u9ad8\u9891\u521b\u4f5c\u8005\u6bcf\u5929 6 \u5c0f\u65f6\uff0c\u79df\u5361\u7acb\u7701 50% \u4ee5\u4e0a\uff0c\u8fd8\u591a\u51fa 4 \u500d\u4ea7\u51fa\u3002<\/p>\n<\/blockquote>\n

\n

\u4e09\u3001\u6548\u7387\u78be\u538b\uff1a\u4e91\u7aef 30 \u79d2\u51fa\u56fe\uff0c\u672c\u5730\u8fd8\u5728 warming up<\/h2>\n

\u540c\u6837\u4e00\u5f20 1024\u00d71024 \u7684 SDXL \u91c7\u6837\u56fe\uff0c\u672c\u5730 4090 \u9700 50 \u6b65\u3001CFG 7\u3001\u82b1\u8d39 2 \u5206 10 \u79d2\uff1b\u661f\u5b87\u667a\u7b97 GPU\u4e91\u4e3b\u673a \u8282\u70b9\u91c7\u7528 PCIe 4.0 \u76f4\u901a + NVMe \u4e91\u76d8\uff0c\u5e26\u5bbd 25 Gbps\uff0c\u6a21\u578b\u9884\u8f7d\u81f3\u5185\u5b58\u76d8\uff0c30 \u79d2\u76f4\u51fa\u3002ComfyUI \u5b98\u65b9 Benchmark \u699c\u5355\u91cc\uff0c\u4e91\u7aef 4090 \u7684\u8fed\u4ee3\u901f\u5ea6\u6bd4\u672c\u5730\u540c\u5361\u5feb 28%\uff0c\u539f\u56e0\u5c31\u5728\u4e8e\u78c1\u76d8 IO \u4e0e\u6563\u70ed\u5197\u4f59\u3002\u5bf9\u4e8e\u9700\u8981\u6279\u91cf\u8dd1 500 \u5f20\u7535\u5546\u6a21\u7279\u56fe\u7684\u521b\u4f5c\u8005\u6765\u8bf4\uff0c\u8fd9\u610f\u5473\u7740\u539f\u672c 17 \u5c0f\u65f6\u7684\u82e6\u71ac\uff0c\u88ab\u538b\u7f29\u5230 4 \u5c0f\u65f6\uff0c\u4e00\u89c9\u9192\u6765\u5c31\u80fd\u6536\u56fe\u3002<\/p>\n

\n

\u56db\u3001\u7ef4\u62a4\u96f6\u8d1f\u62c5\uff1a\u9a71\u52a8\u3001\u6563\u70ed\u3001\u5b95\u673a\uff0c\u5168\u90e8\u4ea4\u7ed9\u5e73\u53f0<\/h2>\n

\u672c\u5730\u73a9\u5bb6\u90fd\u6709\u8fc7\u534a\u591c\u88ab\u201c\u663e\u5361\u98ce\u6247\u72c2\u98d9\u201d\u5413\u9192\u7684\u7ecf\u5386\uff1a\u9a71\u52a8\u5d29\u6e83\u3001\u6e29\u5ea6\u649e\u5899\u3001\u7535\u6e90\u5f02\u54cd\uff0c\u8f7b\u5219\u4e22\u56fe\uff0c\u91cd\u5219\u6574\u7ad9\u5b95\u673a\u3002\u661f\u5b87\u667a\u7b97 GPU\u670d\u52a1\u5668\u79df\u7528 \u63d0\u4f9b 3 \u91cd\u5197\u4f59\uff1a\u53cc\u8def\u5e02\u7535 + UPS + \u67f4\u6cb9\u5907\u63f4\uff0c\u5168\u5e74\u7535\u529b\u53ef\u7528\u6027 99.99%\uff1b\u663e\u5361\u7ea7 IPMI \u76d1\u63a7\uff0c\u6e29\u5ea6 >83 \u2103 \u81ea\u52a8\u8fc1\u79fb\u5b9e\u4f8b\uff1b\u6bcf\u5468\u4e09\u51cc\u6668\u6eda\u52a8\u5347\u7ea7\u9a71\u52a8\uff0c\u7528\u6237\u65e0\u987b\u52a8\u624b\u5373\u53ef\u83b7\u5f97\u6700\u65b0 CUDA 12.4 \u6027\u80fd\u589e\u5e45\u3002\u6570\u636e\u65b9\u9762\uff0c\u5e73\u53f0\u628a \/data\/cloud_storage<\/code> \u505a\u6210\u8de8\u5b9e\u4f8b\u5171\u4eab\u7684\u6301\u4e45\u5316\u5206\u5e03\u5f0f\u76d8\uff0c\u6a21\u578b\u3001Lora\u3001ControlNet \u9884\u5904\u7406\u5668\u4e00\u6b21\u4e0a\u4f20\uff0c\u591a\u8282\u70b9\u968f\u65f6\u6302\u8f7d\uff0c\u5220\u9664\u5b9e\u4f8b\u4e5f\u4e0d\u4f1a\u4e22\u3002<\/p>\n

\n

\u4e94\u3001\u8f7b\u5ea6\u73a9\u5bb6 VS \u9ad8\u9891\u521b\u4f5c\u8005\uff1a\u8c01\u66f4\u9002\u5408\u4e70\u5361\uff1f<\/h2>\n\n\n\n\n\n\n\n
\u8eab\u4efd<\/th>\n\u6bcf\u65e5\u8dd1\u56fe\u65f6\u957f<\/th>\n\u5e74\u8dd1\u56fe\u91cf<\/th>\n\u5efa\u8bae\u65b9\u6848<\/th>\n<\/tr>\n<\/thead>\n
\u8f7b\u5ea6\u7231\u597d\u8005<\/td>\n< 2 h<\/td>\n< 7000 \u5f20<\/td>\n\u81ea\u8d2d 4090\uff0c\u56de\u672c\u5468\u671f 12 \u4e2a\u6708<\/td>\n<\/tr>\n
\u7535\u5546\u8bbe\u8ba1\u5e08<\/td>\n4\u20136 h<\/td>\n3\u20135 \u4e07\u5f20<\/td>\n\u79df GPU\u4e91\u4e3b\u673a\uff0c\u7acb\u7701 50%+<\/td>\n<\/tr>\n
MCN\/\u5de5\u4f5c\u5ba4<\/td>\n> 8 h<\/td>\n10 \u4e07\u5f20+<\/td>\n\u5305\u6708 4090 \u8282\u70b9\uff0c\u6210\u672c\u518d\u964d 30%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u4e00\u53e5\u8bdd\uff1a\u628a\u663e\u5361\u5f53\u751f\u4ea7\u5de5\u5177\u7684\u4eba\uff0c\u65f6\u95f4\u6bd4\u5361\u503c\u94b1\uff1b\u628a\u663e\u5361\u5f53\u73a9\u5177\u7684\u4eba\uff0c\u624d\u9700\u8981\u201c\u62e5\u6709\u611f\u201d\u3002<\/p>\n

\n

\u516d\u3001\u7acb\u5373\u4f53\u9a8c\uff1a\u65b0\u7528\u6237\u9001 200 \u5143\u7b97\u529b\u5238\uff0c10 \u5143\u4f53\u9a8c\u91d1\u65e0\u95e8\u69db\u5230\u8d26<\/h2>\n

\u60f3\u9a8c\u8bc1\u4e0a\u6587\u6570\u636e\uff1f\u6253\u5f00 \u661f\u5b87\u667a\u7b97 GPU\u670d\u52a1\u5668\u79df\u7528<\/a> \u6ce8\u518c\u8d26\u6237\uff0c\u5b9e\u540d\u8ba4\u8bc1\u540e 200 \u5143\u7b97\u529b\u5238\u81ea\u52a8\u5230\u8d26\uff0c\u8db3\u591f 4090 \u8282\u70b9\u8fde\u7eed\u8dd1\u56fe 222 \u5c0f\u65f6\u3002\u5e73\u53f0\u5df2\u9884\u88c5 Stable Diffusion WebUI\u3001ComfyUI\u3001Fooocus\u3001InvokeAI \u7b49\u4e3b\u6d41 AI\u5e94\u7528\uff0c\u70b9\u51fb\u201c\u4e00\u952e\u5373\u73a9\u201d\u5373\u53ef\u5f00\u5de5\u3002\u6570\u636e\u8bb0\u5f97\u653e\u5728 \/data\/cloud_storage<\/code>\uff0c\u5b9e\u4f8b\u5220\u4e86\u4e5f\u4e0d\u5fc3\u75bc\u3002\u7535\u8111\u3001\u5e73\u677f\u3001\u751a\u81f3\u624b\u673a\u6d4f\u89c8\u5668\u90fd\u80fd\u76f4\u8fde\uff0c\u51fa\u5dee\u9ad8\u94c1\u4e0a\u4e5f\u80fd\u7ed9\u7532\u65b9\u6539\u56fe\u3002<\/p>\n

AI \u7ed8\u753b\u7684\u8fed\u4ee3\u901f\u5ea6\u4e0d\u4f1a\u51cf\u901f\uff0c\u522b\u8ba9\u4e00\u5f20 2 \u4e07\u5143\u7684\u663e\u5361\u6210\u4e3a\u4f60\u521b\u4f5c\u534a\u5f84\u7684\u4e0a\u9650\u3002\u628a\u7b97\u529b\u4ea4\u7ed9\u4e91\uff0c\u628a\u7075\u611f\u7559\u7ed9\u81ea\u5df1\u2014\u2014\u73b0\u5728\u5c31\u53bb \u661f\u5b87\u667a\u7b97<\/a> \u9886\u5238\u5f00\u8dd1\uff0c\u4e0b\u4e00\u5e45\u7206\u6b3e\u4f5c\u54c1\u6216\u8bb8\u5c31\u5728 30 \u79d2\u540e\u8bde\u751f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

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