{"id":244,"date":"2026-09-18T06:03:15","date_gmt":"2026-09-18T04:03:15","guid":{"rendered":"https:\/\/www.martinpavlicek.cz\/blog\/?p=244"},"modified":"2026-09-18T06:03:15","modified_gmt":"2026-09-18T04:03:15","slug":"openai-odhaluje-projekt-jalapeno-extremne-rychle-uvazovani-miri-z-cloudu-na-bezna-zarizeni","status":"publish","type":"post","link":"https:\/\/www.martinpavlicek.cz\/blog\/openai-odhaluje-projekt-jalapeno-extremne-rychle-uvazovani-miri-z-cloudu-na-bezna-zarizeni\/","title":{"rendered":"OpenAI odhaluje projekt Jalapeno: Extr\u00e9mn\u011b rychl\u00e9 uva\u017eov\u00e1n\u00ed m\u00ed\u0159\u00ed z cloudu na b\u011b\u017en\u00e1 za\u0159\u00edzen\u00ed"},"content":{"rendered":"\n<p><a href=\"https:\/\/openai.com\/cs-CZ\/index\/jalapeno-first-results\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/openai.com\/cs-CZ\/index\/jalapeno-first-results\/<\/a><\/p>\n\n\n\n<p><br>OpenAI zve\u0159ejnila 25. srpna 2026 prvn\u00ed nam\u011b\u0159en\u00e9 v\u00fdsledky Jalape\u00f1a, sv\u00e9ho prvn\u00edho vlastn\u00edho \u010dipu ur\u010den\u00e9ho pro inferenci, tedy pro provoz ji\u017e natr\u00e9novan\u00fdch AI model\u016f. Firma \u010dip otestovala na ve\u0159ejn\u00e9m benchmarku InferenceX od SemiAnalysis se t\u0159emi otev\u0159en\u00fdmi modely (GPT-OSS 120B, DeepSeek R1 a Kimi K2.5) a porovnala ho s p\u0159edn\u00edmi komer\u010dn\u00edmi syst\u00e9my. Jalape\u00f1o podle n\u00ed zvl\u00e1dlo na watt p\u0159\u00edkonu 1,5 a\u017e 1,9kr\u00e1t v\u00edc pr\u00e1ce a odpov\u011bdi vracelo s 1,7 a\u017e 3,6kr\u00e1t ni\u017e\u0161\u00ed celkovou latenc\u00ed. \u010cip se jmenovit\u00fdm p\u0159\u00edkonem 700 watt\u016f je navr\u017een tak, aby minimalizoval p\u0159esuny dat mezi \u010d\u00e1stmi syst\u00e9mu, co\u017e zrychluje hlavn\u011b interaktivn\u00ed \u00falohy a AI agenty, kte\u0159\u00ed prov\u00e1d\u011bj\u00ed mnoho krok\u016f za sebou. P\u0159i jeho v\u00fdvoji pom\u00e1hala samotn\u00e1 AI: od prvn\u00edho n\u00e1vrhu k fin\u00e1ln\u00ed v\u00fdrobn\u00ed verzi t\u00fdm do\u0161el za dev\u011bt m\u011bs\u00edc\u016f. OpenAI chce \u010dip nasadit ve sv\u00fdch datov\u00fdch centrech do konce roku a u\u017e pracuje na druh\u00e9 a t\u0159et\u00ed generaci. Z\u00e1rove\u0148 ale pl\u00e1nuje d\u00e1l ve velk\u00e9m vyu\u017e\u00edvat \u010dipy Nvidie a dal\u0161\u00edch dodavatel\u016f.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>M\u016fj koment\u00e1\u0159:<\/strong> Tohle je p\u0159esn\u011b ten moment, kdy se OpenAI za\u010d\u00edn\u00e1 m\u011bnit ze softwarov\u00e9 firmy na plnohodnotn\u00e9ho technologick\u00e9ho giganta, kter\u00fd chce m\u00edt kontrolu nad cel\u00fdm sv\u00fdm ekosyst\u00e9mem. A\u010dkoliv se du\u0161uj\u00ed, \u017ee budou Nvidii a dal\u0161\u00ed dodavatele vyu\u017e\u00edvat i nad\u00e1le, je jasn\u00e9, \u017ee si t\u00edmto krokem za\u010d\u00ednaj\u00ed budovat nez\u00e1vislost a p\u00e1ku pro vyjedn\u00e1v\u00e1n\u00ed. Pro n\u00e1s jako u\u017eivatele \u010di v\u00fdvoj\u00e1\u0159e to znamen\u00e1 dv\u011b v\u011bci. Zaprv\u00e9, provoz AI agent\u016f (kte\u0159\u00ed vy\u017eaduj\u00ed neust\u00e1l\u00e9 dotazov\u00e1n\u00ed a vr\u00e1cen\u00ed v\u00fdsledk\u016f v re\u00e1ln\u00e9m \u010dase) bude d\u00edky ni\u017e\u0161\u00ed latenci mnohem plynulej\u0161\u00ed a dost mo\u017en\u00e1 i v\u00fdrazn\u011b levn\u011bj\u0161\u00ed. Tato spir\u00e1la zrychlov\u00e1n\u00ed inovac\u00ed se za\u010d\u00edn\u00e1 rozt\u00e1\u010det tempem, kter\u00e9mu bude pro klasick\u00e9 v\u00fdrobce \u010dip\u016f velmi t\u011b\u017ek\u00e9 konkurovat. Jalape\u00f1o mo\u017en\u00e1 Nvidii hned z\u00edtra neohroz\u00ed, ale jasn\u011b ukazuje, jak\u00fdm sm\u011brem se bude budoucnost AI infrastruktury ub\u00edrat.\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/openai.com\/cs-CZ\/index\/jalapeno-first-results\/ OpenAI zve\u0159ejnila 25. srpna 2026 prvn\u00ed nam\u011b\u0159en\u00e9 v\u00fdsledky Jalape\u00f1a, sv\u00e9ho prvn\u00edho vlastn\u00edho \u010dipu ur\u010den\u00e9ho pro inferenci, tedy pro provoz ji\u017e natr\u00e9novan\u00fdch AI model\u016f. Firma \u010dip otestovala na ve\u0159ejn\u00e9m benchmarku InferenceX od SemiAnalysis se t\u0159emi otev\u0159en\u00fdmi modely (GPT-OSS 120B, DeepSeek R1 a Kimi K2.5) a porovnala ho s p\u0159edn\u00edmi komer\u010dn\u00edmi syst\u00e9my. Jalape\u00f1o podle n\u00ed zvl\u00e1dlo [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[32,16],"class_list":["post-244","post","type-post","status-publish","format-standard","hentry","category-nezarazene","tag-cip","tag-openai"],"_links":{"self":[{"href":"https:\/\/www.martinpavlicek.cz\/blog\/wp-json\/wp\/v2\/posts\/244","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.martinpavlicek.cz\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.martinpavlicek.cz\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.martinpavlicek.cz\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.martinpavlicek.cz\/blog\/wp-json\/wp\/v2\/comments?post=244"}],"version-history":[{"count":1,"href":"https:\/\/www.martinpavlicek.cz\/blog\/wp-json\/wp\/v2\/posts\/244\/revisions"}],"predecessor-version":[{"id":245,"href":"https:\/\/www.martinpavlicek.cz\/blog\/wp-json\/wp\/v2\/posts\/244\/revisions\/245"}],"wp:attachment":[{"href":"https:\/\/www.martinpavlicek.cz\/blog\/wp-json\/wp\/v2\/media?parent=244"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.martinpavlicek.cz\/blog\/wp-json\/wp\/v2\/categories?post=244"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.martinpavlicek.cz\/blog\/wp-json\/wp\/v2\/tags?post=244"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}