Kubernetes ee culeyska shaqada ML
Kubernetes waa nidaam il furan oo si toos ah u jadwaleeya, miisaamaya, oo dib u bilaabaya barnaamijyada weelka lagu haayo ee kutlada mashiinada.
Dulmar
Barashada mashiinka, waxay u ogolaataa kooxuhu inay xirxiraan shaqooyinka tababbarka gaajaysan ee GPU-ga iyo adeegayaasha moodeelka xasaasiga ah ee daahitaanka ah ee ku jira qalabka la wadaago iyada oo aan ilmo haynin servero gaar ah.
quusid qoto dheer
Asal ahaan waxaa loo dhisay Google si loo maamulo adeegyada shabakadda, Kubernetes waxay ula dhaqmaysaa kooxdaada sidii hal barkad weyn oo CPU, xusuusta, iyo GPU-yada, ka dib waxay go'aamisaa mishiinka ku shaqeeya weel kasta. Kooxaha ML waxay ku tiirsan yihiin sababtoo ah culeysyada shaqadu waa dilaac iyo qaali: socodka tababarka wuxuu u baahan karaa siddeed GPUs lix saacadood, ka dibna waxba. Kubernetes waxay jadwal u sameeysaa in ay dul istaagto noodhka leh GPU-yada bilaashka ah, iyo marka shaqadu dhammaato waxay xoraysaa qalabka. Waxa kale oo ay sii noolaysaa adeegayaasha qiimaynta, dib u bilaabista weelasha shil galay iyo faafinta nuqul ka mid ah mishiinada si ay u adkaystaan. Qalabka lagu dhisay korka, sida Kubeflow, Ray, iyo KServe, waxay ku daraan qaybo gaar ah oo ML ah sida hawlwadeenada tababarka qaybsan, hagaajinta hyperparameter, iyo moodooyinka dhamaadka autoscaling, markaa saynisyahano xogtu waxay la shaqeeyaan abstractions heer sare ah halkii YAML cayriin ah.
Aragtida Farsamada
Kubernetes waxa ay GPU-yada ku meelaysaa agabka agabka ee xayeysiiya agabka sida nvidia.com/gpu, kaas oo jadwalku u dhigmayo codsiyada boodhka Taints iyo dulqaadku waxay ka dhigaan shaqooyinka CPU raqiis ah inay ka saaraan qanjidhada GPU ee qiimaha leh, halka kuwa dooranaya noodhka iyo xeerarka xidhiidhka ay ku dhejiyaan tababarka qalab gaar ah. Tababarka GPU-da badan, hawl-wadeenadu waxay abuuraan koox kakoobyo ah oo is ogaanaya oo maamula qaab-dhismeedka sida PyTorch DDP ama Horovod, iyagoo ku beddelaya jaangooyooyin isku xidhka kooxda iyagoo isticmaalaya NCCL.
Saamaynta Istiraatijiyadeed
Qiimaha iyo miisaaniyada
Go'aamada qaab-dhismeedku waxay horseedaan waxqabadka iyo kharashka hawlgalka sannadaha.
Go'aamo cad
Waxbarashada farsamada waxay ka caawisaa kooxaha inay doortaan xidhmo sax ah, ma aha oo kaliya kan ugu cusub.
Xakamaynta tayada
Doorashooyinka injineernimada ee wanaagsan waxay yareeyaan shilalka la isku halleyn karo ee wax soo saarka.
Mustaqbalka Kubernetes ee culeyska shaqada ML
Filo mid adag oo ML ah is dhexgalka: jadwalka kooxaha gaangiska oo bilaaba dhammaan gadmooyinka tababarka la qaybiyey hal mar ama midnaba, qaybsiga GPU qaybsiga iyo waqti go'an si dhowr shaqo oo iftiin ah u wadaagaan hal kaar, iyo meelaynta ogaanshaha topology-ga oo ixtiraamaysa isku xidhka NVLink ee degdega ah. Faaqidaadda aan server-ka lahayn ee Kubernetes, dhibcaha dhammaadka ilaa eber inta u dhaxaysa codsiyada, ayaa soo koraysa. Sida moodooyinka buufinta, jadwaleeyayaashu waxay si sii kordheysa isugu duweeyaan rucubyo iyo daruuro badan, iyo nidaamyada wadaagga caddaaladda ku saleysan sida Kueue iyo Volcano waxay noqonayaan halbeeg lagu maareeyo awoodda GPU-da yar.
Dhaqangelinta Adduunka-dhabta ah
Shaybaarka cilmi-baarista ayaa adeegsada Hawl-wadeenka Tababarka Kubeflow si uu u bilaabo 32-GPU PyTorch shaqo tababar qaybin ah oo ka kooban afar nood, ka dibna si toos ah u xoreeya GPU-yada marka la isku daro.
Shirkad e-ganacsiyeedka ayaa u adeegta moodasheeda talo bixinta ee KServe, kaas oo iskiis u miisaamaya inta lagu jiro iibka tooska ah oo dib u soo noqda habeenkii.
Bangigu wuxuu u shaqeeyaa shaqooyin dhibco-dhibceed habeenimo ah sida Kubernetes CronJobs, isagoo saf ugu jira noodhka CPU-ga si ayan ula tartamin gaadiidka maalintii.
Bilawga adeegsada Ray on Kubernetes si uu u socodsiiyo xaaqidda hyperparameter-ka barbar socda, isaga oo kor u qaadaya daraasiin tijaabooyin tijaabo ah oo waqti-gaaban ah si loo dhimo qiimaha.
Khatarta & Dariiqyada Ilaalada
Hagaajinta hal bartilmaameed waxay qarin kartaa daciifnimada nidaamka ballaaran.
Kaabayaasha dhaqaalaha iyo dayactirka inta badan waa la dhayalsadaa.
Nabadgelyada iyo daldaloolada u fiirsashada ayaa kori kara marka nidaamyadu noqdaan kuwo aad u adag.
Qorshe Hawleedka Dhaqangelinta
Qeex daahida, tayada, iyo bartilmaameedyada qiimaha ka hor inta aan la hirgelin.
Benchmark marka la eego culeyska dhabta ah iyo xaaladaha xogta.
La socodka qalabka khaladaadka, leexashada, iyo saamaynta isticmaalaha.
U diyaari dib-u-noqoshada iyo dariiqyada jawaab-celinta dhacdada ka hor inta aanad miisaan.
Sii wad Sahaminta
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Hagaha xiga
Tijaabada A/B ee Moodooyinka ML
Su'aalaha soo noqnoqda
Waa maxay Kubernetes ee culeyska shaqada ML?
Kubernetes waa nidaam il furan oo si toos ah u jadwaleeya, miisaamaya, oo dib u bilaabaya barnaamijyada weelka lagu haayo ee kutlada mashiinada. Barashada mashiinka, waxay u ogolaataa kooxuhu inay xirxiraan shaqooyinka tababbarka ee gaajaysan ee GPU-ga iyo adeegayaasha moodeelka xasaasiga ah ee daahida leh ee ku jira qalabka la wadaago iyada oo aan ilmo haynin servero gaar ah.
Waa maxay shaqada aasaasiga ah ee jadwalka Kubernetes ee culeyska shaqada ML?
Jadwaliyehu waxa uu u dhigmaa codsiyada agabka boodhka (CPU, memory, GPUs) ee ka soo horjeeda qanjidhada la heli karo oo dhiga meesha ay ku haboon tahay. Ma taabanayo koodka modelka ama xogta.
Sidee ayuu Kubernetes caadi ahaan uga dhigaya GPU-yada mid la heli karo?
Xirmooyinka aaladaha waxay soo bandhigaan GPU-yada kheyraad la jadwalsan karo (tusaale, nvidia.com/gpu), taasoo u oggolaanaysa boodhadhka inay codsadaan iyaga iyo jadwalaha la heli karo.
Maxay yihiin taints iyo dulqaadka inta badan loo isticmaalo kutlada ML?
Xumaantu waxay ka celisaa godad budada ah; Waxa kaliya oo ka soo degi kara baallaha leh dulqaad u dhigma. Tani waxay kaydinaysaa qanjidhada GPU-ga yar ee shaqooyinka runtii u baahan GPU-yada.
Qalabkee ayaa ku daraya awoodaha gaarka ah ee ML sida hawl wadeenada tababarka qaybsan ee korka Kubernetes?
Kubeflow lakabyada ML ee qulqulka shaqada ee Kubernetes, oo ay ku jiraan hawl wadeenada tababarka, dhuumaha, iyo hagaajinta, si kooxuhu uga fogaadaan wax ku qorida gacanta-kustarka heerka hoose.
Waa maxay sababta Kubernetes uu ugu habboon yahay culeysyada shaqada ee ML ee dillaacay?
Tababarku waa basle: GPU-yo badan oo kooban, ka dibna midna. Kubernetes waxa uu dhigayaa shaqada marka agabku xor yahay oo uu sii daayo marka la dhammeeyo, horumarinta ka faa'iidaysiga.