{"id":115643,"date":"2024-05-09T01:52:05","date_gmt":"2024-05-08T23:52:06","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/red-hat-predstavil-distributiv-rhel-ai-i-rezhim-sborki-rhel-na-baze-ostree-i-bootc"},"modified":"2024-05-09T01:52:05","modified_gmt":"2024-05-08T23:52:06","slug":"red-hat-predstavil-distributiv-rhel-ai-i-rezhim-sborki-rhel-na-baze-ostree-i-bootc","status":"publish","type":"post","link":"https:\/\/prohoster.info\/cs\/blog\/news\/red-hat-predstavil-distributiv-rhel-ai-i-rezhim-sborki-rhel-na-baze-ostree-i-bootc","title":{"rendered":"Red Hat p\u0159edstavil distribuci RHEL AI a re\u017eim sestaven\u00ed RHEL zalo\u017een\u00fd na OSTree a bootc","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Spole\u010dnost Red Hat uvedla distribuci Red Hat Enterprise Linux AI (RHEL AI), kter\u00e1 je speci\u00e1ln\u011b p\u0159izp\u016fsobena pro \u00fakoly strojov\u00e9ho u\u010den\u00ed a m\u00e1 za c\u00edl zjednodu\u0161it vytv\u00e1\u0159en\u00ed serverov\u00fdch \u0159e\u0161en\u00ed vyu\u017e\u00edvaj\u00edc\u00edch velk\u00e9 dialogov\u00e9 modely. Obsahuje sb\u00edrku n\u00e1stroj\u016f a r\u00e1mc\u016f pro strojov\u00e9 u\u010den\u00ed, stejn\u011b jako ovlada\u010de pro vyu\u017eit\u00ed r\u016fzn\u00fdch hardwarov\u00fdch akceler\u00e1tor\u016f AMD, Intel a NVIDIA a komponenty pro vyu\u017eit\u00ed schopnost\u00ed server\u016f Dell, Cisco, HPE, Lenovo a SuperMicro optimalizovan\u00fdch pro AI syst\u00e9my. <\/p>\n

RHEL AI je ur\u010den pro v\u00fdvoj, testov\u00e1n\u00ed a prov\u00e1d\u011bn\u00ed syst\u00e9m\u016f strojov\u00e9ho u\u010den\u00ed na z\u00e1klad\u011b velk\u00e9ho jazykov\u00e9ho modelu Granite, kter\u00fd byl otev\u0159en spole\u010dnost\u00ed IBM pod licenc\u00ed Apache 2.0, schopn\u00e9ho p\u0159i generov\u00e1n\u00ed textu zohlednit a\u017e 4 tis\u00edce token\u016f a pokr\u00fdvat 7 miliard parametr\u016f. Pro interakci s modelem Granite je v distribuci integrov\u00e1n otev\u0159en\u00fd n\u00e1stroj InstructLab, kter\u00fd podporuje metodologii LAB (Large-scale Alignment for chatBots) pro p\u0159izp\u016fsoben\u00ed vlastn\u00edm pot\u0159eb\u00e1m a optimalizaci model\u016f, stejn\u011b jako pro p\u0159id\u00e1v\u00e1n\u00ed dal\u0161\u00edch znalost\u00ed a realizaci nov\u00fdch dovednost\u00ed v p\u0159edem natrenovan\u00fdch modelech. <\/p>\n

Platforma m\u016f\u017ee b\u00fdt pou\u017eita pro v\u00fdvoj AI aplikace pro firemn\u00ed pot\u0159eby a pro implementaci slu\u017eeb pro generaci obsahu, vytv\u00e1\u0159en\u00ed dialogov\u00fdch syst\u00e9m\u016f a integraci do aplikac\u00ed virtu\u00e1ln\u00edch asistent\u016f, kter\u00e9 podporuj\u00ed takov\u00e9 dovednosti, jako je schopnost odpov\u00eddat na ot\u00e1zky v p\u0159irozen\u00e9m jazyce, \u0159e\u0161it matematick\u00e9 \u00falohy, generovat smyslupln\u00fd text na dan\u00e9 t\u00e9ma, vytv\u00e1\u0159et shrnut\u00ed obsahu, opravovat chyby v textu, prov\u00e1d\u011bt p\u0159episov\u00e1n\u00ed jin\u00fdmi slovy, pom\u00e1hat p\u0159i psan\u00ed k\u00f3du v r\u016fzn\u00fdch programovac\u00edch jazyc\u00edch, formulovat dopisy a dokumenty podle \u0161ablony.

\"Red<\/center> <\/p>\n

Krom\u011b toho spole\u010dnost Red Hat p\u0159edstavila nov\u00fd re\u017eim pro vytv\u00e1\u0159en\u00ed a spr\u00e1vu syst\u00e9mov\u00fdch obraz\u016f zalo\u017een\u00fdch na Red Hat Enterprise Linux \u2014 \u201eimage mode\u201c, kter\u00fd umo\u017e\u0148uje pro nasazen\u00ed opera\u010dn\u00edho syst\u00e9mu vyu\u017e\u00edvat n\u00e1stroje a technologie pou\u017e\u00edvan\u00e9 pro vytv\u00e1\u0159en\u00ed a spou\u0161t\u011bn\u00ed aplikac\u00ed v kontejnerech. Nov\u00fd re\u017eim manipuluje s monolitick\u00fdmi syst\u00e9mov\u00fdmi obrazy, kter\u00e9 jsou vytv\u00e1\u0159eny pomoc\u00ed n\u00e1stroj\u016f rpm-ostree a aktualizov\u00e1ny atom\u00e1rn\u011b bez rozd\u011blen\u00ed na jednotliv\u00e9 bal\u00ed\u010dky. <\/p>\n

Sestavy mohou b\u00fdt vytv\u00e1\u0159eny ve form\u00e1tu obraz\u016f OCI (jako v Dockeru), ISO, QCOW2, AMI, VMI a VMDK. Obsah obrazu se vyb\u00edr\u00e1 \u00fapravou souboru Containerfile. Pro vytv\u00e1\u0159en\u00ed a spr\u00e1vu obraz\u016f lze pou\u017e\u00edt standardn\u00ed n\u00e1stroje pro spr\u00e1vu kontejner\u016f, jako jsou Podman a OpenShift Container Platform. Pro instalaci obraz\u016f m\u016f\u017ee b\u00fdt pou\u017eit jak standardn\u00ed instal\u00e1tor Anaconda, tak n\u00e1stroj bootc-image-builder, kter\u00fd umo\u017e\u0148uje p\u0159ev\u00e9st obraz kontejneru na spou\u0161t\u011bc\u00ed diskov\u00fd obraz. Pro aktualizaci spou\u0161t\u011bc\u00edch obraz\u016f kontejner\u016f, kter\u00e9 jsou dod\u00e1v\u00e1ny s j\u00e1drem Linux a mohou se spou\u0161t\u011bt analogicky s b\u011b\u017en\u00fdmi sestavami syst\u00e9mu, se pou\u017e\u00edv\u00e1 n\u00e1stroj bootc.
\n
Zdroj: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Red Hat \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u0434\u0438\u0441\u0442\u0440\u0438\u0431\u0443\u0442\u0438\u0432 Red Hat Enterprise Linux AI (RHEL AI), \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u044c\u043d\u043e \u0430\u0434\u0430\u043f\u0442\u0438\u0440\u043e\u0432\u0430\u043d \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0437\u0430\u0434\u0430\u0447 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438 \u043f\u0440\u0438\u0437\u0432\u0430\u043d \u0443\u043f\u0440\u043e\u0441\u0442\u0438\u0442\u044c \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u0441\u0435\u0440\u0432\u0435\u0440\u043d\u044b\u0445 \u0440\u0435\u0448\u0435\u043d\u0438\u0439, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0445 \u0431\u043e\u043b\u044c\u0448\u0438\u0435 \u0434\u0438\u0430\u043b\u043e\u0433\u043e\u0432\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438. \u0412 \u0441\u043e\u0441\u0442\u0430\u0432 \u0432\u0445\u043e\u0434\u0438\u0442 \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0430 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u0438 \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u043e\u0432 \u0434\u043b\u044f \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f, \u0430 \u0442\u0430\u043a\u0436\u0435 \u0434\u0440\u0430\u0439\u0432\u0435\u0440\u044b \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u043d\u044b\u0445 \u0443\u0441\u043a\u043e\u0440\u0438\u0442\u0435\u043b\u0435\u0439 AMD, Intel \u0438 NVIDIA, \u0438 \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u044b \u0434\u043b\u044f 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