{"id":2835,"date":"2026-03-07T16:16:14","date_gmt":"2026-03-07T08:16:14","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/2835"},"modified":"2026-03-07T16:16:14","modified_gmt":"2026-03-07T08:16:14","slug":"%e6%80%a7%e8%83%bd%e6%af%8f%e7%93%a6%e7%9c%9f%e7%9c%81%e7%94%b5%e8%b4%b9%ef%bc%81%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97gpu%e4%ba%91%e4%b8%bb%e6%9c%ba%e5%ae%9e%e6%b5%8bb200-vs-h100%e8%83%bd%e6%95%88","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/2835","title":{"rendered":"\u6027\u80fd\u6bcf\u74e6=\u771f\u7701\u7535\u8d39\uff01\u661f\u5b87\u667a\u7b97GPU\u4e91\u4e3b\u673a\u5b9e\u6d4bB200 vs H100\u80fd\u6548\u8d26\u5355"},"content":{"rendered":"
\"\u6027\u80fd\u6bcf\u74e6=\u771f\u7701\u7535\u8d39\uff01\u661f\u5b87\u667a\u7b97GPU\u4e91\u4e3b\u673a\u5b9e\u6d4bB200<\/figure>\n
\n

\u80cc\u666f\u8d44\u8baf\uff1aGoogle \u6700\u65b0 TPU Ironwood \u5355\u5361\u529f\u8017 157 W\uff0cNVIDIA B200 \u6807\u79f0 700 W\uff0c\u4f46\u8bad\u7ec3\u80fd\u6548\uff08perf\/W\uff09\u6bd4\u4e0a\u4e00\u4ee3 H100 \u63d0\u5347 3.4 \u500d\u3002\u7535\u8d39\u6b63\u6210\u4e3a hyperscaler \u7684\u201c\u7b2c\u4e8c\u79df\u91d1\u201d\uff0c\u8c01\u80fd\u5728\u6bcf\u74e6\u6027\u80fd\u4e0a\u9886\u5148\uff0c\u8c01\u5c31\u63e1\u4f4f\u4e86\u4e0b\u4e00\u8f6e\u5927\u6a21\u578b\u7ade\u8d5b\u7684\u6210\u672c\u547d\u95e8\u3002<\/p>\n<\/blockquote>\n

\u6027\u80fd\u6bcf\u74e6=\u771f\u7701\u7535\u8d39\uff01\u661f\u5b87\u667a\u7b97GPU\u4e91\u4e3b\u673a\u5b9e\u6d4bB200 vs H100\u80fd\u6548\u8d26\u5355<\/h2>\n

\u2460 157 W vs 700 W\uff1aHyperscale \u7535\u8d39\u5dee\u591a\u5c11\uff1f<\/h3>\n

\u5728\u540c\u7b49 FP8 \u7b97\u529b\u8f93\u51fa\u4e0b\uff0cTPU Ironwood 157 W \u786e\u5b9e\u60ca\u8273\uff0c\u4f46\u56fd\u5185\u771f\u6b63\u53ef\u5546\u7528\u3001\u53ef\u79df\u5230\u7684\u201c\u80fd\u6548\u602a\u517d\u201d\u662f NVIDIA B200\u3002\u5bf9\u6bd4 H100 \u7684 700 W \u70ed\u8bbe\u8ba1\u529f\u8017\uff0cB200 \u901a\u8fc7\u53f0\u79ef\u7535 4NP \u5de5\u827a\u4e0e\u65b0\u4e00\u4ee3 Tensor Core \u5c06\u6bcf\u74e6\u6027\u80fd\u63d0\u5347\u7ea6 3.4 \u500d\u3002\u6362\u7b97\u6210\u7535\u8d39\uff0c\u8fd9\u610f\u5473\u7740\uff1a
\n– \u6bcf 1 PFLOPS \u7b97\u529b\uff0cB200 \u6bd4 H100 \u5c11\u7528 58% \u7684\u7535\u91cf\uff1b
\n– \u82e5\u6309 0.08 USD\/kWh \u7684\u5317\u7f8e\u5e73\u5747\u7535\u4ef7\uff0c\u4e00\u5ea7 1 \u4e07\u5361\u96c6\u7fa4 7\u00d724 \u5c0f\u65f6\u8bad\u7ec3\uff0cH100 \u96c6\u7fa4\u7684\u7535\u8d39\u8d26\u5355\u9ad8\u8fbe 420 kUSD\uff0c\u800c B200 \u4ec5 95 kUSD\u2014\u2014\u76f4\u63a5\u7701\u4e0b 325 kUSD\uff0c\u8db3\u591f\u518d\u79df 3 \u4e2a\u6708 GPU \u670d\u52a1\u5668<\/strong>\u3002<\/p>\n

\u2461 \u5e73\u53f0\u5b9e\u6d4b\uff1a\u540c\u6837 1 \u4e07\u5361\u8dd1 7 \u5929\uff0cB200 \u7535\u8d39\u2248$95 k\uff0cH100\u2248$420 k<\/h3>\n

\u661f\u5b87\u667a\u7b97\u6280\u672f\u56e2\u961f\u4e0a\u5468\u521a\u5b8c\u6210\u771f\u5b9e\u4e1a\u52a1\u538b\u6d4b\uff1a
\n– \u4efb\u52a1\uff1a700 B \u53c2\u6570 MoE \u6a21\u578b\u9884\u8bad\u7ec3\uff0c\u6570\u636e\u91cf 12 TB\uff1b
\n– \u73af\u5883\uff1a\u4e24\u53f0 2048 \u5361\u96c6\u7fa4\uff0c\u5206\u522b\u91c7\u7528 H100 SXM \u4e0e B200 NVL72 \u8282\u70b9\uff1b
\n– \u7ed3\u679c\uff1a
\n – H100 \u96c6\u7fa4 PUE 1.25\uff0c\u603b\u529f\u8017 2.94 MW\uff0c7 \u5929\u8017\u7535 493 MWh\uff1b
\n – B200 \u96c6\u7fa4 PUE 1.15\uff0c\u603b\u529f\u8017 0.68 MW\uff0c7 \u5929\u8017\u7535 114 MWh\uff1b
\n – \u8bad\u7ec3\u6536\u655b\u65f6\u95f4\u4e00\u81f4\uff0cB200 \u5355\u5361\u867d\u8d35 25%\uff0c\u4f46\u7535\u8d39\u8282\u7701 77%<\/strong>\uff0cTCO \u76f4\u63a5\u53cd\u6740\u3002 <\/p>\n

\u2462 \u661f\u5b87\u667a\u7b97\u63d0\u4f9b\u6df7\u5408\u8282\u70b9\u6c60\uff1a\u9ad8\u80fd\u8017 H100+\u9ad8\u80fd\u6548 B200\/4090 \u81ea\u7531\u5207\u6362<\/h3>\n

\u4e0d\u662f\u6240\u6709\u4efb\u52a1\u90fd\u9700\u8981\u201c\u9876\u914d\u201d\uff0c\u4e5f\u4e0d\u662f\u6240\u6709\u9884\u7b97\u90fd\u80fd\u70e7\u201c\u65d7\u8230\u201d\u3002\u661f\u5b87\u667a\u7b97\u5728GPU\u4e91\u4e3b\u673a<\/a>\u8d44\u6e90\u6c60\u4e2d\u540c\u65f6\u4e0a\u67b6\uff1a
\n– H100 8-GPU \u8282\u70b9<\/strong>\uff1a\u9002\u5408\u5bf9\u663e\u5b58\u5e26\u5bbd\u6781\u5ea6\u654f\u611f\u7684\u5927\u6a21\u578b\u63a8\u7406\uff1b
\n– B200 4-GPU \u8282\u70b9<\/strong>\uff1a\u6bcf\u74e6\u6027\u80fd\u6700\u4f73\uff0c\u8bad\u7ec3\u6027\u4ef7\u6bd4\u4e4b\u738b\uff1b
\n– RTX 4090 8-GPU \u8282\u70b9<\/strong>\uff1a\u5355\u7cbe\u5ea6 82 TFLOPS\uff0c\u6210\u672c\u4ec5\u4e3a H100 \u7684 1\/6\uff0c\u662f\u4e2d\u5c0f\u6a21\u578b\u5fae\u8c03\u3001AIGC \u4ea7\u56fe\u7684\u201c\u751c\u54c1\u5361\u201d\u3002 <\/p>\n

\u7528\u6237\u53ef\u5728\u63a7\u5236\u53f0\u4e00\u952e\u521b\u5efa\u201c\u6df7\u5408\u961f\u5217\u201d\uff0c\u5e73\u53f0\u81ea\u52a8\u6839\u636e\u4efb\u52a1\u7c7b\u578b\u3001\u663e\u5b58\u5360\u7528\u3001CUDA \u7248\u672c\u5339\u914d\u6700\u7ecf\u6d4e\u7684\u8282\u70b9\uff0c\u5e73\u5747\u518d\u7701 15% \u79df\u91d1<\/strong>\u3002<\/p>\n

\u2463 \u4e00\u952e\u811a\u672c\uff1a\u6839\u636e\u5b9e\u65f6\u7535\u4ef7&\u78b3\u6392\u81ea\u52a8\u8c03\u5ea6\u8bad\u7ec3\u4efb\u52a1\uff0c\u518d\u7701 12% OPEX<\/h3>\n

\u7535\u8d39\u6709\u5cf0\u8c37\uff0c\u78b3\u6392\u56e0\u5b50\u4e5f\u968f\u7535\u7f51\u5b9e\u65f6\u53d8\u5316\u3002\u661f\u5b87\u667a\u7b97\u5f00\u6e90\u7684 eco-scheduler<\/code> \u811a\u672c\uff0c\u5df2\u5185\u7f6e\u5728\u5b98\u65b9\u955c\u50cf\uff1a
\n– \u6bcf 5 \u5206\u949f\u6293\u53d6\u7701\u7ea7\u7535\u7f51\u73b0\u8d27\u4ef7\u4e0e\u78b3\u6392\u7cfb\u6570\uff1b
\n– \u5f53\u8c37\u65f6\u7535\u4ef7 <0.45 CNY\/kWh \u4e14\u78b3\u6392 <0.65 kg\/kWh \u65f6\uff0c\u81ea\u52a8\u5c06\u4f4e\u4f18\u5148\u7ea7 checkpoint \u5199\u5165\u4efb\u52a1\u8fc1\u79fb\u81f3 B200 \u8282\u70b9\uff1b
\n– \u5f53\u7535\u4ef7\u9ad8\u4e8e\u9608\u503c\uff0c\u5219\u6302\u8d77\u4efb\u52a1\u5e76\u91ca\u653e H100 \u8282\u70b9\uff0c\u7528\u6237 OPEX \u518d\u964d 12%<\/strong>\u3002 <\/p>\n

\u5b9e\u6d4b 30 \u5929\uff0c\u67d0 CV \u56e2\u961f 128 \u5361 Stable Diffusion \u8bad\u7ec3\uff0c\u7535\u8d39\u4ece 1.7 \u4e07\u964d\u81f3 1.1 \u4e07 CNY<\/strong>\uff0c\u76f8\u5f53\u4e8e\u514d\u8d39\u591a\u51fa 6 \u5929\u8bad\u7ec3\u65f6\u957f\u3002<\/p>\n

\u2464 \u7ed3\u8bba\uff1a\u4e2d\u5c0f\u56e2\u961f\u628a\u8bad\u7ec3\u8fc1\u5230\u661f\u5b87\u667a\u7b97GPU\u79df\u8d41\uff0c\u4e00\u5e74\u7535\u8d39\u53ef\u7701\u4e0b\u4e00\u53f0 Model Y<\/h3>\n

\u4ee5\u5317\u4eac 0.8 CNY\/kWh \u5747\u4ef7\u8ba1\u7b97\uff0c\u4e00\u53f0 8\u00d7H100 \u8282\u70b9\u5e74\u7535\u8d39\u7ea6 39 \u4e07\u5143\uff1b\u82e5\u5c06 70% \u8bad\u7ec3\u91cf\u5207\u6362\u81f3 B200\uff0c\u5269\u4f59 30% \u7528 RTX 4090\uff0c\u5168\u5e74\u7535\u8d39\u964d\u81f3 9.4 \u4e07\u5143\u2014\u2014\u51c0\u7701 29.6 \u4e07\u5143\uff0c\u6b63\u597d\u5165\u624b\u4e00\u8f86 Model Y \u6807\u51c6\u7248<\/strong>\u3002 <\/p>\n

\u66f4\u91cd\u8981\u7684\u662f\uff0c\u4f60\u65e0\u9700\u4e00\u6b21\u6027\u6295\u5165\u5343\u4e07\u7ea7\u786c\u4ef6\u8d44\u672c\u3002\u661f\u5b87\u667a\u7b97GPU\u670d\u52a1\u5668\u79df\u7528<\/a>\u652f\u6301\u201c\u6309\u5206\u949f\u8ba1\u8d39 + \u65e0\u5361\u6a21\u5f0f\u201d\uff0c\u5f00\u53d1\u9636\u6bb5\u53ef 0 GPU \u8dd1\u4ee3\u7801\uff0c\u8bad\u7ec3\u9636\u6bb5\u518d\u79d2\u7ea7\u6269\u5bb9\u5230 512 \u5361\uff1b\u6570\u636e\u3001\u6a21\u578b\u3001\u955c\u50cf\u5168\u90e8\u6301\u4e45\u5316\uff0c\u8fc1\u79fb\u96f6\u95e8\u69db<\/strong>\u3002 <\/p>\n

\u73b0\u5728\u6ce8\u518c\uff0c\u65b0\u7528\u6237\u5373\u9886 10 \u5143\u4f53\u9a8c\u91d1\uff0cB200\/4090 \u8282\u70b9 0 \u6298\u8bd5\u7528 2 \u5c0f\u65f6\uff1b\u63d0\u4ea4\u4f01\u4e1a\u8ba4\u8bc1\u518d\u9001 500 \u5143\u5238\u5305\u3002\u628a\u7701\u4e0b\u7684\u7535\u8d39\u7559\u7ed9\u521b\u610f\uff0c\u628a\u7e41\u91cd\u7684\u7b97\u529b\u4ea4\u7ed9\u6211\u4eec<\/strong>\u2014\u2014\u4e0a\u661f\u5b87\u667a\u7b97\uff0c\u8ba9\u4f60\u7684 AI \u5e94\u7528\u66f4\u5feb\u3001\u66f4\u7701\u3001\u66f4\u7eff\u8272\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u80cc\u666f\u8d44\u8baf\uff1aGoogle \u6700\u65b0 TPU Ironwood \u5355\u5361…<\/p>\n","protected":false},"author":2,"featured_media":2834,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2835","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zixun"],"views":69,"_links":{"self":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2835","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=2835"}],"version-history":[{"count":0,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2835\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media\/2834"}],"wp:attachment":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media?parent=2835"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/categories?post=2835"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/tags?post=2835"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}