I-Kubernetes ye-ML Workloads
I-Kubernetes iwuhlelo lomthombo ovulekile oluhlela ngokuzenzakalelayo, likala, futhi liqale kabusha izinhlelo ezifakwe esitsheni phakathi kweqoqo lemishini.
Uhlolojikelele
For machine learning, it lets teams pack GPU-hungry training jobs and latency-sensitive model servers onto shared hardware without babysitting individual servers.
I-Deep Dive
Yakhelwe okokuqala ku-Google ukuze iqalise amasevisi ewebhu, i-Kubernetes iphatha iqoqo lakho njengechibi elikhulu le-CPU, inkumbulo, nama-GPU, bese inquma ukuthi yimuphi umshini osebenzisa isiqukathi ngasinye. Amaqembu e-ML ancike kuyo ngoba imithwalo yomsebenzi iyaqhuma futhi iyabiza: ukugijima kokuqeqeshwa kungase kudinge ama-GPU ayisishiyagalombili amahora ayisithupha, bese kungekho lutho. I-Kubernetes ihlela lokho ku-pod ku-node enama-GPU amahhala, futhi uma umsebenzi uphela ikhulula i-hardware. Iphinde igcine amaseva wokukhomba ephila, iqale kabusha iziqukathi eziphahlazekile futhi isakaze izifaniso kuyo yonke imishini ukuze iqine. Amathuluzi akhelwe phezulu, njenge-Kubeflow, Ray, kanye ne-KServe, engeza izingcezu eziqondene ne-ML ezifana nama-opharetha okuqeqeshwa asabalele, i-hyperparameter tuning, nama-endpoints emodeli ye-autoscaling, ukuze ososayensi bedatha basebenze ngokudonswa kwezinga eliphezulu esikhundleni se-YAML eluhlaza.
I-Technical Insight
I-Kubernetes yabela ama-GPU ngama-plugin edivayisi akhangisa izinsiza ezifana ne-nvidia.com/gpu, umhleli ofanayo ngokumelene nezicelo ze-pod. Ukungcola nokubekezelela kugcina imisebenzi ye-CPU eshibhile ingekho kumanodi e-GPU abizayo, kuyilapho izikhethi ze-node nemithetho ehambisanayo iphinina ukuqeqeshwa kwezingxenyekazi zekhompuyutha ezithile. Ngokuqeqeshwa kwe-GPU eningi, o-opharetha bakha iqembu lama-pods atholanayo futhi asebenzise izinhlaka ezifana ne-PyTorch DDP noma i-Horovod, abashintshisana ngama-gradient ngenethiwekhi yeqoqo besebenzisa i-NCCL.
I-Strategic Impact
Izindleko kanye nesabelomali
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka.
Izinqumo ezicacile
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha.
Ukulawulwa kwekhwalithi
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni.
Ikusasa le-Kubernetes le-ML Workloads
Lindela ukuhlanganiswa kwe-ML okuqinile: ukuhlela kweqembu okwethula wonke ama-pods okuqeqesha asabalalisiwe ngesikhathi esisodwa noma ukungabikho nhlobo, ukwabelana kwe-GPU okuyingxenye kanye nenqunyelwe isikhathi ukuze imisebenzi eminingana elula yabelane ngekhadi elilodwa, kanye nokubekwa okuqaphela i-topology okuhlonipha ukuxhumana okusheshayo kwe-NVLink. Ukucabanga okungenaseva ku-Kubernetes, ukukala amaphoyinti kuye kuqanda phakathi kwezicelo, kuyakhula. Njengamamodeli amabhaluni, abahleli baya ngokuya behlanganisa amaqoqo namafu amaningi, kanye nezinhlelo zokwabelana ngokufanele ezisekelwe kulayini ezifana ne-Kueue ne-Volcano seziba indinganiso yokuphatha umthamo we-GPU ayivelanga.
Ukuqaliswa Komhlaba Wangempela
Ilebhu yocwaningo isebenzisa i-Kubeflow Training Operator ukwethula umsebenzi wokuqeqesha osabalalisiwe we-32-GPU PyTorch ezindaweni ezine, bese ikhulula ngokuzenzakalelayo ama-GPU lapho ihlangana.
Inkampani ye-e-commerce isebenzisa imodeli yayo yokuncoma nge-KServe, eyenza i-autoscales iphindaphinde ngesikhathi sokuthengiswa kwe-flash futhi ihlehle ngobusuku obubodwa.
Ibhange lenza imisebenzi yokuqoqa amaphuzu ebusuku njenge-Kubernetes CronJobs, liwabeka kulayini kumanodi e-CPU ayisipele ukuze angaqhudelani nethrafikhi yokunikeza emini.
Isiqalisi sisebenzisa i-Ray ku-Kubernetes ukuze iqalise ukushanela kwe-hyperparameter ehambisanayo, iphotha inqwaba yamaphodi okulinga ehlala isikhashana ngezikhathi ezithile ukuze kwehliswe izindleko.
Izingozi & Guardrails
Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu.
Izindleko zengqalasizinda nezokulungisa zivame ukubukelwa phansi.
Izikhala zokuphepha nokubonakala zingakhula njengoba izinhlelo ziba nzima kakhulu.
Ukuqalisa Umhlahlandlela
Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala.
Qhubeka Uhlole
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Umhlahlandlela olandelayo
Ukuhlolwa kwe-A/B Kwamamodeli e-ML
Imibuzo evame ukubuzwa
What is Kubernetes for ML Workloads?
I-Kubernetes iwuhlelo lomthombo ovulekile oluhlela ngokuzenzakalelayo, likala, futhi liqale kabusha izinhlelo ezifakwe esitsheni phakathi kweqoqo lemishini. Ukufunda ngomshini, kuvumela amaqembu ukuthi aphake imisebenzi yokuqeqesha elambile i-GPU namaseva emodeli azwela ukubambezeleka kuhadiwe okwabiwe ngaphandle kokugada amaseva ngamanye.
Imuphi umsebenzi oyinhloko womhleli we-Kubernetes wemithwalo yemisebenzi ye-ML?
Isihleli sifanisa izicelo zensiza ye-pod (CPU, inkumbulo, ama-GPU) ngokumelene nama-node atholakalayo futhi ibeka i-pod lapho ingena khona. Ayithinti ikhodi yemodeli noma idatha.
I-Kubernetes ivame ukwenza kanjani ama-GPU atholakale ku-pod?
Ama-plugin wedivayisi adalula ama-GPU njengesisetshenziswa esihlelekayo (isb., nvidia.com/gpu), okuvumela ama-pods awacele kanye nokutholakala kwethrekhi yesihleli.
Kuyini ukugcotshwa nokubekezelela okuvame ukusetshenziselwa iqoqo le-ML?
I-taint ixosha ama-pods endaweni; ama-pods kuphela anokubekezelela okufanayo angahlala lapho. Lokhu kugcina izindawo eziyivelakancane ze-GPU zemisebenzi edinga ama-GPU empeleni.
Iliphi ithuluzi elengeza amakhono aqondene ne-ML njengama-opharetha okuqeqesha abasabalalisiwe phezu kwe-Kubernetes?
I-Kubeflow izingqimba ze-ML zigeleza ku-Kubernetes, okuhlanganisa nabaqhubi bokuqeqesha, amapayipi, nokushuna, ukuze amaqembu agweme ukulungiselelwa kweqoqo lokubhala ngesandla lezinga eliphansi.
Kungani i-Kubernetes ifaneleka kahle kumthwalo we-ML oqhumayo?
Ukuqeqeshwa ku-spiky: ama-GPU amaningi kafushane, bese awekho. U-Kubernetes ubeka umsebenzi lapho izinsiza zimahhala futhi azikhulule lapho ziqedwa, zithuthukisa ukusetshenziswa.