Jadawalin GPU da Ƙungiyoyin Ƙira
Tsare-tsare na GPU yana yanke shawarar waɗanne ayyuka ke gudana akan waɗanne masu haɓakawa da kuma lokacin, yayin da ƙungiyar kade-kade ke daidaita waɗannan ayyukan a cikin duka tarin injuna.
Dubawa
Together they keep expensive GPUs busy, fair, and reliable for many users and workloads.
Zurfafa nutsewa
A cikin gungu na AI da aka raba, yawancin masu amfani suna gasa don ƙarancin GPUs waɗanda zasu iya kashe dubun dubatar daloli kowanne. Mai tsara tsarawa ya dace da buƙatun kowane aiki (yawan GPUs, ƙwaƙwalwar ajiya, topology) zuwa kayan aikin da ake da su, yana aiwatar da abubuwan fifiko da ƙimar rabon gaskiya, da layukan layi suna aiki lokacin da tari ya cika. Orchestration yana ci gaba: yana sanya kwantena, yana hawa bayanai, yana sarrafa gazawa, sake kunna ma'aikatan da suka fado, da dinke tare da horarwa da aka rarraba. Kubernetes tare da kayan aikin na'urar NVIDIA da ƙari-kan kamar Volcano ko Kueue suna gudanar da tsara tsarin ƙungiyoyi, inda duk ma'aikatan aikin da aka rarraba dole ne su fara tare ko babu wanda ya yi. Tsari mai kyau kuma yana mutunta GPU interconnect topology, co-locating martaba waɗanda ke buƙatar saurin sadarwar NVLink don guje wa jinkirin ƙulli-ƙulli.
Fahimtar Fasaha
GPUs an fallasa su azaman abubuwan ƙididdigewa, albarkatun da ba za a iya raba su ba, don haka masu tsara jadawalin bibiyar su kamar lamba maimakon kewayon CPU masu iya rabawa. Tsare-tsare na ƙungiyoyi (ko haɗin gwiwa) yana da mahimmanci: aikin horarwa da aka rarraba tare da madaidaicin matsayi na 64 idan an ba da GPUs 60 kawai, don haka mai tsarawa dole ne ya ware duk-ko-komai. Matsayin Topology-sane yana karanta shimfidu NVLink da InfiniBand don ci gaba da sadar da saƙon kusa, yana rage ƙarancin raguwa wanda ke mamaye manyan horon samfuri.
Dabarun Tasiri
Kudin da kasafin kuɗi
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru.
Shawarwari masu haske
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba.
Kula da inganci
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa.
Makomar Jadawalin GPU da Ƙungiyoyin Ƙira
Masu tsara jadawalin suna samun wayo game da juzu'i da GPUs masu raba lokaci, MIG-aware bin-packing, da preemption cewa wuraren binciken wuraren aiki don dawo da iya aiki don babban fifiko. Yi tsammanin haɗin kai mai zurfi tare da haɓaka makamashi da haɓaka farashi, sake amfani da ƙarfin tabo, da kuma jadawalin ƙungiyoyin ƙungiya ta atomatik don horarwa na roba wanda ke girma ko rage ƙidayar ma'aikata. Kamar yadda gungu ya kai dubun dubatar GPUs, ƙaƙƙarfan ƙaƙƙarfan juriya da ke tsira daga gazawar kayan aiki akai-akai ya zama mahimmanci.
Aiwatar da Gaskiyar Duniya
Gidan binciken bincike yana amfani da ƙididdiga na gaskiya don haka babu ƙungiya ɗaya da za ta iya ɗaukar duk GPUs yayin da wasu ke jira a cikin jerin gwano.
Kubernetes tare da ƙungiyar Volcano-suna tsara aikin horarwa na 32-GPU don haka kowane ma'aikaci zai fara lokaci ɗaya, yana hana ɓarna ɓarna.
Mai tsara tsarawa yana ƙaddamar da gwaji mai ƙarancin fifiko, yana bincika shi, kuma yana 'yantar da GPUs don aikin sake horarwa na gaggawa.
Matsayin Topology-sane ya haɗu da matsayi takwas akan kulli ɗaya mai haɗin NVLink don haɓaka gradient gabaɗaya.
Hatsari & Tsare-tsare
Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin.
Sau da yawa ana raina kayan more rayuwa da kuma kuɗin kulawa.
Tsaro da gibin lura na iya girma yayin da tsarin ke ƙara haɓaka.
Taswirar Hanya
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli.
Ci gaba da Bincike
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Jagora na gaba
Jadawalin Yawan Koyo
Tambayoyin da ake yawan yi
What is GPU Scheduling and Cluster Orchestration?
Tsare-tsare na GPU yana yanke shawarar waɗanne ayyuka ke gudana akan waɗanne masu haɓakawa da kuma lokacin, yayin da ƙungiyar kade-kade ke daidaita waɗannan ayyukan a cikin duka tarin injuna. Tare suna kiyaye GPUs masu tsada a cikin aiki, gaskiya, kuma abin dogaro ga yawancin masu amfani da nauyin aiki.
Me yasa tsara jadawalin ƙungiyoyi yake da mahimmanci don ayyukan horarwa da aka rarraba?
Horon da aka rarraba yana buƙatar duk darajoji suna gudana lokaci guda; jadawalin ƙungiyoyin ko-ko-ko-ko-ko-ko-ko-ko-ko-ko-ko-ko-ko-ko-ko-ko-ko-ko-ko-ko-na-na-ta-na-iya-na-iya-ya-kan-kan-kan-kan-kan-kan-kan-kan-kan-re.
Ta yaya ake kera GPUs a matsayin kayan aiki ta masu tsarawa?
GPUs yawanci ana ɗaukar su azaman raka'a gabaɗaya masu ƙididdigewa, sabanin hannun jari na CPU waɗanda za'a iya yanka su ba bisa ka'ida ba.
Menene tsarin tsarin topology-sane yake ƙoƙarin ingantawa?
Yana haɗa matsayi waɗanda ke musayar bayanai don su yi amfani da manyan hanyoyin haɗin bandwidth, yanke duk-rage jinkirin sadarwa.
Wanne add-on ne aka saba amfani dashi tare da Kubernetes don tsari da tsarin ƙungiyoyin ayyukan AI?
Volcano (da Kueue) suna ƙara batch da damar tsara tsarin ƙungiyoyi waɗanda vanilla Kubernetes suka rasa don ayyukan AI.
Menene preemption da ake amfani dashi a cikin mai tsara GPU?
Tsayar da preemption ko wuraren bincike ƙananan ayyuka masu mahimmanci don gaggawa, aiki mafi girma na iya da'awar GPUs.