{"id":2794,"date":"2026-03-07T14:09:36","date_gmt":"2026-03-07T06:09:36","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/2794"},"modified":"2026-03-07T14:09:36","modified_gmt":"2026-03-07T06:09:36","slug":"sora-%e7%ba%a7%e8%a7%86%e9%a2%91%e7%94%9f%e6%88%90%e9%9c%80%e8%a6%81%e5%a4%9a%e5%b0%91%e7%ae%97%e5%8a%9b%ef%bc%9f%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97-gpu-%e6%9c%8d%e5%8a%a1%e5%99%a8%e7%a7%9f%e7%94%a8","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/2794","title":{"rendered":"Sora \u7ea7\u89c6\u9891\u751f\u6210\u9700\u8981\u591a\u5c11\u7b97\u529b\uff1f\u661f\u5b87\u667a\u7b97 GPU \u670d\u52a1\u5668\u79df\u7528\u65b9\u6848\u62c6\u89e3"},"content":{"rendered":"
\"Sora<\/figure>\n
\n

\u80cc\u666f\uff1aOpenAI \u53d1\u5e03 Sora \u540e\uff0c\u300c60 \u79d2 1080 P \u8fde\u8d2f\u957f\u955c\u5934\u300d\u5237\u5c4f\u5168\u7f51\uff1b\u56fd\u5185\u521b\u4e1a\u56e2\u961f\u4ec5\u7528 48 \u5c0f\u65f6\u590d\u73b0 DiT \u67b6\u6784\uff0c\u5374\u56e0 24 G \u663e\u5b58\u300c\u7206\u663e\u5b58\u300d\u800c\u6b62\u6b65 256 P\u2014\u2014\u6269\u6563\u6a21\u578b\u4e0e DiT\uff08Diffusion Transformer\uff09\u7684\u9ec4\u91d1\u7ec4\u5408\uff0c\u7b2c\u4e00\u6b21\u628a\u300c\u7b97\u529b\u300d\u63a8\u5230\u53f0\u524d\uff0c\u6210\u4e3a\u89c6\u9891\u751f\u6210\u8d5b\u9053\u7684\u5165\u573a\u5238\u3002<\/p>\n<\/blockquote>\n

\u4e00\u3001\u6269\u6563+DiT\uff1a\u89c6\u9891\u751f\u6210\u7684\u201c\u7b97\u529b\u9ed1\u6d1e\u201d<\/h2>\n

\u6269\u6563\u6a21\u578b\u9700\u8981\u9010\u5e27\u964d\u566a\uff0cDiT \u53c8\u8981\u5bf9\u65f6\u7a7a Token \u505a\u5168\u5c40\u81ea\u6ce8\u610f\u529b\uff0c\u4e8c\u8005\u53e0\u52a0\u5e26\u6765\u53cc\u91cd\u538b\u529b\uff1a
\n1. \u663e\u5b58\uff1a60 f 1080 P \u7684\u6f5c\u7a7a\u95f4\u7279\u5f81\u56fe\uff0c\u5355\u5e27\u5373 73 MB\uff0c60 \u5e27\u5c31\u662f 4.4 GB\uff1b\u518d\u53e0\u52a0 32 \u5c42 Transformer\uff0c\u5cf0\u503c\u663e\u5b58\u8f7b\u677e\u7a81\u7834 70 GB\u3002
\n2. \u5e26\u5bbd\uff1aDiT \u6bcf\u4e00\u6b21 Attention \u90fd\u8981\u642c\u8fd0 GB \u7ea7\u6743\u91cd\uff0cPCIe 4.0 x16 \u7684 32 GB\/s \u6210\u4e3a\u74f6\u9888\uff0c\u5bfc\u81f4 GPU \u5229\u7528\u7387\u4f4e\u4e8e 30 %\u3002<\/p>\n

\u7ed3\u8bba\uff1a\u672c\u5730 4090 24 G \u53ea\u80fd\u201c\u73a9\u5177\u7ea7\u201d\u63a8\u7406\uff1b\u60f3\u8981\u8bad\u7ec3 5 \u79d2\u77ed\u7247\uff0c\u5fc5\u987b\u4e0a\u591a\u5361 NVLink \u7684\u201c\u771f\u00b7GPU\u670d\u52a1\u5668\u79df\u7528\u201d\u65b9\u6848\u3002<\/p>\n

\u4e8c\u3001\u672c\u5730\u8e29\u5751\u5b9e\u5f55\uff1a24 G \u663e\u5b58\u5361\u5728\u300c60 f\u300d\u95e8\u69db<\/h2>\n

\u7b14\u8005\u628a\u5f00\u6e90 DiT-Video \u642c\u5230\u672c\u5730 4090\uff0c\u8e29\u5751\u4e09\u8fde\uff1a
\n– \u964d\u4f4e\u5206\u8fa8\u7387\u5230 512 P\uff0c\u663e\u5b58\u4ecd\u5360 23.7 G\uff0c\u7cfb\u7edf\u968f\u65f6 OOM\uff1b
\n– \u5f00\u542f gradient checkpointing\uff0c\u8bad\u7ec3\u6b65\u6570\u7ffb\u500d\uff0c48 \u5c0f\u65f6\u8fc7\u53bb loss \u8fd8\u5728\u201c\u722c\u5761\u201d\uff1b
\n– \u628a 60 \u5e27\u780d\u6210 16 \u5e27\uff0c\u52a8\u4f5c\u8fde\u8d2f\u6027\u9aa4\u964d\uff0c\u6210\u7247\u201cPPT \u611f\u201d\u660e\u663e\u3002<\/p>\n

\u663e\u5b58\u4e0e\u5e26\u5bbd\u53cc\u74f6\u9888\uff0c\u8ba9\u300c\u672c\u5730\u70bc\u4e39\u300d\u6210\u4e3a\u4f2a\u547d\u9898\uff1b\u8f6c\u6218 GPU\u4e91\u4e3b\u673a \u5df2\u52bf\u5728\u5fc5\u884c\u3002<\/p>\n

\u4e09\u3001\u661f\u5b87\u667a\u7b97 H100 \u96c6\u7fa4\uff1a\u4e00\u952e\u5373\u73a9 Sora-style \u955c\u50cf<\/h2>\n

\u661f\u5b87\u667a\u7b97\uff08\u53a6\u95e8\u661f\u5b87\u667a\u7b97\u667a\u80fd\u79d1\u6280\u6709\u9650\u516c\u53f8\uff09\u6700\u65b0\u4e0a\u67b6\u7684 H100 80 G SXM \u591a\u5361\u8282\u70b9\uff0c\u7ed9\u51fa\u300c\u5f00\u7bb1\u5373\u7528\u300d\u7b54\u6848\uff1a
\n– 8 \u5361 NVLink 600 GB\/s \u5168\u57df\u4e92\u8054\uff0cAttention \u6743\u91cd 0 \u62f7\u8d1d\uff1b
\n– \u5b98\u65b9\u9884\u88c5 Sora-style \u955c\u50cf\uff0cPyTorch 2.3 + CUDA 12.1 + xDiT \u52a0\u901f\u6846\u67b6\uff0c\u65e0\u9700\u8c03\u73af\u5883\uff1b
\n– \u5e73\u53f0\u5185\u7f6e 12 T \u7248\u6743\u53ef\u5546\u7528\u89c6\u9891\u7247\u6bb5\u3001300 G \u4e2d\u6587\u6587\u672c-\u89c6\u9891\u5bf9\uff0c\u6570\u636e\u96c6\u76f4\u63a5\u6302\u8f7d\uff0c\u7701\u53bb\u4e0b\u8f7d 6 \u5c0f\u65f6\uff1b
\n– \u6301\u4e45\u5316\u4e91\u76d8\u652f\u6301\u300c\u65ad\u70b9\u7eed\u8bad\u300d\uff0c\u5173\u673a\u4e0d\u8ba1\u8d39\uff0c\u5b9e\u9a8c\u60f3\u505c\u5c31\u505c\u3002<\/p>\n

\u6ce8\u518c\u5373\u9001 10 \u5143\u4f53\u9a8c\u91d1\uff0c0.88 \u5143\/\u5361\/\u5206\u949f\u8d77\u6b65\uff0c10 \u5206\u949f\u5c31\u80fd\u62c9\u8d77 8\u00d7H100 \u73af\u5883\uff0c\u771f\u6b63\u8ba9\u201cGPU\u670d\u52a1\u5668\u79df\u7528\u201d\u50cf\u62e7\u5f00\u6c34\u9f99\u5934\u4e00\u6837\u7b80\u5355\u3002<\/p>\n

\u56db\u3001\u5b9e\u6d4b\uff1a5 \u79d2 1080 P \u7247\u6bb5\u8bad\u7ec3\u65f6\u95f4\u4ece 48 h \u5230 9 h<\/h2>\n\n\n\n\n\n\n
\u786c\u4ef6\u73af\u5883<\/th>\n\u5e27\u6570<\/th>\n\u5206\u8fa8\u7387<\/th>\n\u8bad\u7ec3\u8017\u65f6<\/th>\n\u5355\u6b65\u663e\u5b58<\/th>\n\u6210\u672c\u4f30\u7b97<\/th>\n<\/tr>\n<\/thead>\n
RTX 4090 24 G \u00d71<\/td>\n16<\/td>\n512 P<\/td>\n48 h<\/td>\n23.7 GB<\/td>\n\u672c\u5730\u7535\u8d39\u224860 \u5143<\/td>\n<\/tr>\n
\u661f\u5b87 H100 80 G \u00d78<\/td>\n60<\/td>\n1080 P<\/td>\n9 h<\/td>\n68 GB<\/td>\n277 \u5143\uff08\u6309\u5206\u949f\u8ba1\u8d39\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u5728\u661f\u5b87\u667a\u7b97 GPU\u4e91\u4e3b\u673a \u4e0a\uff0c\u901a\u8fc7 xDiT \u81ea\u52a8\u6df7\u5408\u5e76\u884c\uff0c\u5355\u6b65\u901a\u4fe1\u5f00\u9500\u964d\u5230 5 %\uff1b\u914d\u5408 80 G \u5927\u663e\u5b58\uff0c\u53ef\u628a batch size \u63d0\u9ad8 6 \u500d\uff0c\u5b66\u4e60\u7387\u540c\u6b65\u653e\u5927\uff0c\u6536\u655b\u901f\u5ea6\u63d0\u5347 5.3 \u500d\u3002
\n277 \u5143\u5373\u53ef\u8dd1\u5b8c\u4e00\u6b21\u5b8c\u6574\u5b9e\u9a8c\uff0c\u77ed\u89c6\u9891\u56e2\u961f\u4e5f\u80fd\u201c\u65e5\u66f4\u201d\u6a21\u578b\uff0c\u4e0d\u518d\u88ab\u7b97\u529b\u5361\u8116\u5b50\u3002<\/p>\n

\u4e94\u3001\u4ef7\u683c\uff1a\u6309\u5206\u949f\u8ba1\u8d39\uff0b\u65ad\u70b9\u7eed\u8bad\uff0c\u9884\u7b97\u53ef\u63a7<\/h2>\n

\u661f\u5b87\u667a\u7b97\u63d0\u4f9b\u300c\u79d2\u7ea7\u8ba1\u8d39\u3001\u7cbe\u786e\u5230\u5206\u949f\u300d\u7684\u5546\u7528\u65b9\u6848\uff1a
\n– H100 80 G\uff1a0.88 \u5143\/\u5361\/\u5206\u949f\uff1b
\n– A100 80 G\uff1a0.49 \u5143\/\u5361\/\u5206\u949f\uff1b
\n– RTX 4090\uff1a0.09 \u5143\/\u5361\/\u5206\u949f\u3002 <\/p>\n

\u652f\u6301\u300c\u65ad\u70b9\u7eed\u8bad\u300d\uff1a\u5173\u673a\u5373\u505c\u6b62\u8ba1\u8d39\uff0c\u91cd\u542f\u540e\u81ea\u52a8\u52a0\u8f7d checkpoint\uff0c\u79d1\u7814\u56e2\u961f\u53ef\u628a 100 \u5c0f\u65f6\u957f\u5b9e\u9a8c\u62c6\u6210 10 \u6bb5\uff0c\u968f\u65f6\u8c03\u6574\u8d85\u53c2\uff0c\u6210\u672c\u8282\u7701 40 % \u4ee5\u4e0a\u3002
\n\u5e73\u53f0\u66f4\u5f00\u653e API\uff0c\u53ef\u4e0e MLOps \u5de5\u5177\u94fe\u5bf9\u63a5\uff0c\u5b9e\u73b0 nightly auto-train\uff0c\u8ba9 AI\u5e94\u7528 \u8fed\u4ee3\u8fdb\u5165 DevOps \u65f6\u4ee3\u3002<\/p>\n

\u516d\u3001\u4e0d\u6b62\u7b97\u529b\uff0c\u66f4\u662f AI \u5e94\u7528\u751f\u6001<\/h2>\n

\u661f\u5b87\u667a\u7b97\u7684\u4f7f\u547d\u662f\u201c\u8d4b\u80fd\u521b\u4f5c\u8005\uff0c\u666e\u60e0\u9700\u6c42\u65b9\u201d\u3002\u9664\u4e86\u786c\u7b97\u529b\uff0c\u5e73\u53f0\u8fd8\u5185\u7f6e\uff1a
\n– \u6a21\u578b\u5e7f\u573a\uff1aStable Video Diffusion\u3001AnimateDiff\u3001MagicAnimate \u7b49 50+ \u516c\u5171\u6a21\u578b\u4e00\u952e\u8c03\u7528\uff1b
\n– \u6570\u636e\u96c6\u5e02\u573a\uff1a720 P\u30011080 P\u30014 K \u4e09\u7ea7\u5206\u8fa8\u7387\u7684\u7248\u6743\u89c6\u9891\uff0c\u5df2\u505a\u597d\u955c\u5934\u5207\u5206\u4e0e\u5b57\u5e55\u5bf9\u9f50\uff1b
\n– \u5e94\u7528\u5546\u5e97\uff1a\u56fe\u6587\u8f6c\u89c6\u9891\u3001\u6570\u5b57\u4eba\u76f4\u64ad\u3001AI \u526a\u8f91\u7b49 SaaS \u6a21\u677f\uff0c\u975e\u7a0b\u5e8f\u5458\u4e5f\u80fd 5 \u5206\u949f\u751f\u6210\u77ed\u7247\uff1b
\n– \u521b\u4f5c\u8005\u4e2d\u5fc3\uff1a\u63d0\u4f9b Git \u81ea\u52a8\u90e8\u7f72\u3001\u57df\u540d\u7ed1\u5b9a\u3001\u6309\u7528\u91cf\u5206\u6210\uff0c\u8ba9\u7b97\u6cd5\u56e2\u961f\u4e13\u6ce8\u521b\u65b0\uff0c\u5176\u4f59\u4ea4\u7ed9\u5e73\u53f0\u3002<\/p>\n

\u4ece\u7b97\u529b\u3001\u6570\u636e\u5230\u5546\u4e1a\u53d8\u73b0\uff0c\u661f\u5b87\u667a\u7b97\u6253\u9020\u95ed\u73af\uff0c\u8ba9 GPU\u670d\u52a1\u5668\u79df\u7528 \u4e0d\u518d\u53ea\u662f\u201c\u8dd1\u7a0b\u5e8f\u201d\uff0c\u800c\u662f\u76f4\u63a5\u300c\u8dd1\u6536\u5165\u300d\u3002<\/p>\n

\u4e03\u3001\u5982\u4f55\u4e0a\u8f66\uff1f<\/h2>\n
    \n
  1. \u6253\u5f00 https:\/\/www.starverse-ai.com<\/a> \u6ce8\u518c\u8d26\u53f7\uff0c\u65b0\u7528\u6237\u7acb\u5f97 10 \u5143\u4f53\u9a8c\u91d1\uff1b <\/li>\n
  2. \u63a7\u5236\u53f0\u9009\u62e9\u300cH100 8\u5361\u00b7DiT\u89c6\u9891\u955c\u50cf\u300d\uff0c30 \u79d2\u5b8c\u6210\u5f00\u673a\uff1b <\/li>\n
  3. \u4e0a\u4f20\u7d20\u6750\uff0c\u8fd0\u884c notebook\/train.py\uff0c5 \u5206\u949f\u770b loss \u4e0b\u964d\uff1b <\/li>\n
  4. \u8bad\u7ec3\u7ed3\u675f\u4e00\u952e\u5bfc\u51fa mp4\uff0c\u53ef\u76f4\u63a5\u5206\u53d1\u5230\u6296\u97f3\u3001B \u7ad9\uff0c\u5b9e\u73b0\u6d41\u91cf\u53d8\u73b0\u3002<\/li>\n<\/ol>\n

    Sora \u62c9\u5f00\u4e86\u300c\u751f\u6210\u5f0f\u89c6\u9891\u300d\u5e8f\u5e55\uff0c\u4f46\u771f\u6b63\u7684\u95e8\u69db\u662f\u7b97\u529b\u3002\u501f\u52a9\u661f\u5b87\u667a\u7b97\u9ad8\u6027\u4ef7\u6bd4\u7684 GPU\u4e91\u4e3b\u673a \u4e0e AI\u5e94\u7528 \u751f\u6001\uff0c\u77ed\u89c6\u9891\u5de5\u4f5c\u5ba4\u3001\u9ad8\u6821\u5b9e\u9a8c\u5ba4\u4e43\u81f3\u72ec\u7acb\u5f00\u53d1\u8005\uff0c\u90fd\u80fd\u4ee5\u201c\u5206\u949f\u7ea7\u201d\u6210\u672c\u9a8c\u8bc1\u521b\u610f\uff0c\u628a 48 \u5c0f\u65f6\u7684\u9ed1\u7bb1\u8bad\u7ec3\uff0c\u538b\u7f29\u6210\u4e00\u676f\u5496\u5561\u65f6\u95f4\u7684\u7b49\u5f85\u3002
    \n\u73b0\u5728\u5c31\u767b\u5f55     \u661f\u5b87\u667a\u7b97<\/a>\uff0c\u9886\u53d6 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u8ba9\u4f60\u7684\u4e0b\u4e00\u90e8 AI \u5927\u7247\uff0c\u4ece\u8fd9\u91cc\u5f00\u673a\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u80cc\u666f\uff1aOpenAI \u53d1\u5e03 Sora \u540e\uff0c\u300c60 \u79d2 1080…<\/p>\n","protected":false},"author":2,"featured_media":2793,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2794","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zixun"],"views":41,"_links":{"self":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2794","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/comments?post=2794"}],"version-history":[{"count":0,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2794\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media\/2793"}],"wp:attachment":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media?parent=2794"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/categories?post=2794"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/tags?post=2794"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}