{"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\/hr\/blog\/news\/red-hat-predstavil-distributiv-rhel-ai-i-rezhim-sborki-rhel-na-baze-ostree-i-bootc","title":{"rendered":"Red Hat je predstavio distribuciju RHEL AI i na\u010din sastavljanja RHEL-a temeljenog na OSTree i bootc.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Tvrtka Red Hat predstavila je distribuciju Red Hat Enterprise Linux AI (RHEL AI) koja je posebno prilago\u0111ena za obavljanje zadataka strojno u\u010denja te ima za cilj pojednostaviti izradu serverskih rje\u0161enja koja koriste velike dijalog modela. Uklju\u010duje skup alata i okvira za strojno u\u010denje, kao i upravlja\u010dke programe za kori\u0161tenje raznih hardverskih akceleratora AMD, Intel i NVIDIA, te komponente za kori\u0161tenje mogu\u0107nosti servera Dell, Cisco, HPE, Lenovo i SuperMicro, optimiziranih za AI sustave. <\/p>\n

RHEL AI namijenjen je razvoju, testiranju i izvo\u0111enju sustava strojnog u\u010denja temeljenih na velikom jezi\u010dnom modelu Granite, koji je otvorila tvrtka IBM pod licencom Apache 2.0, sposoban uzeti u obzir do 4 tisu\u0107e tokena u generaciji teksta i pokriva 7 milijardi parametara. Za interakciju s modelom Granite, distribucija uklju\u010duje otvoreni alat InstructLab, koji podr\u017eava metodologiju LAB (Large-scale Alignment for chatBots) za prilagodbu vlastitim potrebama i optimizaciju modela, kao i dodavanje dodatnog znanja i implementaciju novih vje\u0161tina u prethodno treniranim modelima. <\/p>\n

Platforma se mo\u017ee koristiti za razvoj AI aplikacija za korporativne potrebe, kao i za implementaciju usluga za generiranje sadr\u017eaja, izradu dijalog sustava i integraciju u aplikacije virtualnih asistenta, koje podr\u017eavaju vje\u0161tine poput odgovaranja na pitanja na prirodnom jeziku, rje\u0161avanja matemati\u010dkih zadataka, generiranja smislenog teksta na zadanu temu, sastavljanja sa\u017eetaka sadr\u017eaja, ispravljanja gre\u0161aka u tekstu, prepravke drugim rije\u010dima, pomo\u0107i u pisanju koda na raznim programskim jezicima te oblikovanja pisama i dokumenata prema predlo\u0161ku.

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

Osim toga, kompanija Red Hat predstavila je novi na\u010din za kreiranje i upravljanje sistemskim slikama temeljenim na Red Hat Enterprise Linuxu \u2014 \"image mode\", koji omogu\u0107ava kori\u0161tenje alata i tehnologija za implementaciju operativnog sistema koji se koriste za kreiranje i pokretanje aplikacijskih kontejnera. Novi na\u010din manipulira monolitnim sistemskim slikama, koje se formiraju pomo\u0107u alata rpm-ostree i a\u017euriraju atomarno bez razbijanja na zasebne pakete. <\/p>\n

Builds can be created in the form of images in OCI formats (like Docker), ISO, QCOW2, AMI, VMI, and VMDK. The contents of the image are selected by editing the Containerfile. Standard container management tools such as Podman and OpenShift Container Platform can be used for creating and managing images. Both the default Anaconda installer and the bootc-image-builder toolkit can be used to install images, allowing you to convert a container image into a bootable disk image. The bootc toolkit is applied for updating bootable container images that come with the Linux kernel and can boot similarly to traditional system builds.
\n
Izvor: 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 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[…]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":115644,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-115643","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Red Hat introduced the RHEL AI distribution and the RHEL build mode based on OSTree and bootc | ProHoster","description":"Red Hat has introduced the Red Hat Enterprise Linux AI (RHEL AI) distribution, which is specifically tailored for carrying out machine learning tasks and aims to simplify the creation of server solutions that utilize 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