![\"9bc4916ej00tkd78801ijd000umim\"](\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/08\/9bc4916ej00tkd78801ijd000u000mim.jpg\" "\\"9bc4916ej00tkd78801ijd000umim\\"")
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The news of August 26thOpenAI<\/a> Publication of the down payment self-study reasoningchip<\/a> Galape\u00f1o ' s first results were measured across the three indicators of throughput, energy efficiency and delayNvidia<\/a> GB200 with GB300. According to the results of the OpenAI and SemiAnalysis tests on the InferenceX baseline:<\/p>\n On GPT-OSS 120B, single-user velocity of 1459 tokens\/s is 2.7 times greater than GB200 535 tokens\/s<\/p>\n On DeepSeek R1 670B, the end-to-end delay of 1.65 seconds compared to 5.99 seconds of GB300; based on GB300 ' s fastest decoder speed, 104.3 times more per kilowatt<\/p>\n (a) On Kimi K2.5 1T, the peak is about 1.5 times higher per watt-off and the delay is about 3.4 times lower<\/p>\n THE TOTAL WORKLOAD OF THE THREE MODELS IS 1.5 TO 1.9 TIMES HIGHER AND THE PERFORMANCE OF HIGH-INTERACTIVE SCENES IS 2.1 TO 4.1 TIMES HIGHER\u3002<\/p>\n Galape\u00f1o ' s nominal power consumption of 700W, which is only half of GB300; SemiAnalysis estimates the total cost of ownership per chip at approximately $1.56 per hour, which is essentially the same as the British Virgin H100, which is less than the $3.61 of Vera Rubin\u3002<\/p>\n OpenAI states that Jalape\u00f1o only took nine months from the design to the current film, and in the process using the self-study model GPT-Astra and Codex accelerated circuit design and validation, AI supported the reduction of 8% for the SIMD unit and 10% for the matrix engine; on the partial attention and MoE module, AI produced a kernel 1.5 to 1.8 times faster than human experts\u3002<\/p>\n Last October, OpenAI signed a 10-GW Custom Accelerator Cooperation Agreement with Chase. Jalape\u00f1o was the first generation product of the road map, Gen 2 has been developed in depth and Gen 3 is taking shape. Officially, Galape\u00f1o will be deployed into its own computing infrastructure by the end of this year\u3002<\/p>","protected":false},"excerpt":{"rendered":" On August 26th, OpenAI released the first results of the initial self-study reasoning chip Jalalape\u00f1o, which outpaced Britain GB200 and GB300 on the three indicators of throughput, efficiency and delay. Test results from OpenAI and SemiAnalysis on the InferenceX benchmark: 1459 tokens\/s, 2.7 times the GB200 535 tokens\/s, on GPT-OSS 120B; end-to-end delay 1.65 seconds compared with 5.99 seconds for GB300<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[190,238,239],"collection":[],"class_list":["post-56266","post","type-post","status-publish","format-standard","hentry","category-news","tag-openai","tag-238","tag-239"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/56266","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=56266"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/56266\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=56266"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=56266"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=56266"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=56266"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}