Kwanan nan Nvidia ta sami Run: ai, farawar Isra'ila ta ƙware a sarrafa aikin AI. Wannan yunƙurin yana nuna ƙarin mahimmancin Kubernetes a ciki generative AI. Ta wannan hanyar, Nvidia tana da niyyar magance ƙalubalen da ke da alaƙa da amfani da albarkatun GPU a cikin abubuwan more rayuwa na AI. Bari mu zurfafa cikin cikakkun bayanai game da wannan siye da abubuwan da ke haifar da AI da kuma yanayin muhalli na asali.

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Nvidia's Run: ai Acquisition

An bayar da rahoton cewa Nvidia ta sayi Run:ai yana da daraja tsakanin dala miliyan 700 zuwa dala biliyan 1. Wannan yana nuna dabarar motsi daga Nvidia don ƙarfafa jagoranci a cikin AI da injin inji yankuna. Ta hanyar haɗa Run: kayan aikin kaɗe-kaɗe na ci-gaba a cikin tsarin halittarta, Nvidia na da niyyar daidaita tsarin sarrafa albarkatun GPU, don biyan buƙatun ƙwararrun hanyoyin AI.

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Mabuɗin Siffofin Gudu: ai's Platform

Run: ai's dandamali, wanda aka keɓance da nauyin aikin AI da ke gudana akan GPUs, yana ba da fasaloli da yawa:

• Ƙirƙirar ƙira da software na haɓakawa don ƙididdige albarkatun GPU.
• Haɗin kai mara kyau tare da Kubernetes don ƙungiyar kade-kade da goyan bayan kayan aikin AI na ɓangare na uku.
• Tsare-tsare mai tsauri, hada-hadar GPU, da rarrabuwa don haɓaka inganci.
• Haɗin kai tare da tarin Nvidia's AI, gami da tsarin DGX da kwantena na NGC.

Me yasa Nvidia Ya Samu Run: ai

Samun Nvidia na Run:ai yana da kuzari da abubuwa da yawa. Da fari dai, fasahar Run:ai tana ba da damar sarrafa albarkatun GPU mai inganci. Wannan yana da mahimmanci don biyan buƙatun masu tasowa AI da ilmantarwa na inji ayyukan aiki. Abu na biyu, sayan yana ba Nvidia damar haɓaka rukunin samfuran AI na yanzu, yana ba abokan ciniki haɓaka haɓaka don buƙatun kayan aikin AI.

Run: ai kafa dangantaka da kasancewar kasuwa yana faɗaɗa isa ga Nvidia, musamman a sassan da ke fama da ƙalubalen sarrafa aikin AI. Ta hanyar amfani da ƙwararrun Run:ai, Nvidia na da niyyar haɓaka ƙarin ci gaba a fasahar GPU da ƙungiyar makaɗa. Wannan ya zama fa'ida mai fa'ida yayin da kamfanoni ke haɓaka saka hannun jari a AI. Duk waɗannan dalilai tare suna sanya Nvidia da kyau a cikin yanayin kasuwa mai saurin canzawa. 

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Tasiri ga Kubernetes da Cloud-Native Ecosystem

Samun Nvidia na Run:ai yana da tasiri mai mahimmanci ga Kubernetes da kuma yanayin yanayin girgije. Haɗin Run: iyawar sarrafa GPU na ai's cikin Kubernetes yana ba da damar ƙarin haɓakawa da amfani da albarkatun GPU. Wannan yana da mahimmanci ga kayan aiki mai ƙarfi na AI. Leveraging Run: Fasahar ai tana haɓaka goyon bayan Kubernetes don ƙididdige ƙididdiga masu ƙima da ayyukan AI, haɓaka sabbin abubuwa a cikin mahalli na asali na girgije.

Sayen zai iya fitar da babban tallafi na Kubernetes a cikin sassan da suka dogara da AI, yana haɓaka haɓaka sabbin abubuwa cikin sauri don samfuran AI. Haɗin kai yana nuna balaga Kubernetes a matsayin dandamali don jigilar AI na zamani, yana ƙarfafa ƙarin ƙungiyoyi don ɗaukar Kubernetes don buƙatun kayan aikin AI.

Fadin mu

Samun Nvidia na Run:ai alama ce mai mahimmanci a cikin juyin halittar kayan aikin AI. Ta hanyar haɓaka ƙwarewar Run:ai da haɗa shi cikin tsarin muhallinta, Nvidia tana ƙarfafa himmarta don haɓaka fasahar AI da ƙarfafa masana'antu tare da ingantattun hanyoyin AI. Yayin da AI ke ci gaba da sake fasalin masana'antu, ingantattun hanyoyin sarrafa ababen more rayuwa kamar Run:ai's sun shirya don taka muhimmiyar rawa wajen haɓaka sabbin abubuwa da haɓakawa.

Ku bi mu a Google News don ci gaba da sabuntawa tare da sabbin sabbin abubuwa a duniyar AI, Kimiyyar Bayanai, & GenAI.

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• Source: https://www.analyticsvidhya.com/blog/2024/04/nvidia-acquires-runai-to-boost-ai-infrastructure-efficiency/