Jadwalka GPU iyo abaabulka Kooxda
Jadwalka GPU ayaa go'aaminaya shaqooyinka ay ku shaqeeyaan dardar-geliyayaasha iyo goorta, halka abaabulku uu isku dubbarido shaqooyinkan dhammaan kooxaha mashiinnada.
Dulmar
Together they keep expensive GPUs busy, fair, and reliable for many users and workloads.
quusid qoto dheer
Kooxda AI ee la wadaago, daraasiin isticmaaleyaal ah ayaa ku tartamaya GPU-yada yar ee ku kici kara tobanaan kun oo doolar midkiiba. Jadwaleeyaha ayaa ku habboon shuruudaha shaqo kasta (tirada GPU-yada, xusuusta, topology) qalabka la heli karo, wuxuu xoojiyaa mudnaanta iyo kootada wadaagga cadaaladda ah, safafkuna wuu shaqeeyaa marka kooxdu buuxsato. Abaabulka ayaa intaa sii dheer: waxa ay meel dhigtaa weelasha, waxa ay ku shubtaa xogta, waxa ay qabataa guul-darrooyinka, waxa ay dib u bilawdaa shaqaalihii shil galay, waxa ay isku tolaysaa tababbarka qaybsan ee noodhka badan. Kubernetes oo leh qalabka NVIDIA iyo waxyaabaha lagu daro sida Volcano ama Kueue waxay gacanta ku hayaan jadwalka gaangiska, halkaas oo dhammaan shaqaalaha shaqada la qaybiyey ay tahay inay si wadajir ah u bilaabaan ama midna ma sameeyo. Jadwalka wanaagsan waxa kale oo uu ixtiraamayaa GPU-ga isku xidhka topology-ga, wada-helida darajooyinka u baahan isgaadhsiinta degdega ah ee NVLink si looga fogaado cirib-tirka cirridka-node-ga ah.
Aragtida Farsamada
GPU-yada waxaa loo soo bandhigaa inay yihiin ilo la tirin karo, oo aan la qaybsan karin, sidaa darteed jadwal-bixiyeyaashu waxay ula socdaan iyaga sida isku-darka halkii ay ka ahaan lahaayeen wareegyada CPU la wadaagi karo. Jadwalka baandooyinka (ama wada-shaqeynta) waa muhiim: shaqo tababar oo la qaybiyey oo leh 64 darajo dhimis ah haddii 60 GPUs oo keliya la bixiyo, markaa jadwalku waa inuu qoondeeyaa wax-ama-waxba. Meelaynta Topology-ka og waxay akhridaa qaabaynta NVLink iyo InfiniBand si ay u ilaaliso xidhiidhka darajooyinka, iyadoo hoos u dhigaysa dhammaan-yaraynta daahitaanka ee xukuma tababarka moodeelka weyn.
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 Jadwalka GPU-da iyo abaabulka Kooxda
Jadwaleeyayaashu waxay ku sii caqli badanayaan GPU-yada jajaban iyo wakhtiga la wadaago, baakadaha MIG-aware-ka, iyo ka-hortagga ah in isbaarada shaqooyinka si ay u soo ceshadaan awoodda shaqada mudnaanta sare leh. Filo is dhexgal qoto dheer oo leh tamar iyo wanaajin kharash, dib-u-isticmaalka booska, iyo jadwalka gaangiska tooska ah ee tababbarka laastikada ee koraya ama hoos u dhigaya tirada shaqaalaha. Sida kooxuhu ay u qiyaasaan tobanaan kun oo GPU-yada, abaabulka u dulqaadan kara ee ka badbaada guuldarrooyinka qalabka soo noqnoqda ayaa noqda lama huraan.
Dhaqangelinta Adduunka-dhabta ah
Shaybaarka cilmi-baadhistu wuxuu isticmaalaa kootada saami-qaybsiga caddaaladda ah si aanay koox keli ahi u jiidin dhammaan GPU-yada halka kuwa kalena ay safka ku jiraan.
Kubernetes oo leh baandada Volcano- waxay dajinaysaa 32-GPU shaqo tababar si shaqaale kastaa uu hal mar u bilaabo, isaga oo ka hortagaya xirmooyin qoondaynta qayb ahaan.
Jadwaliyehu waxa uu horudhac u sameeyaa tijaabo-mudnaan hoose, isbaaro u dhigaa, oo u xoreeya GPU-yada dib u barasho wax soo saar degdeg ah.
Meelaynta Topology-ka warqaba waxay wada-jirtaa sideed darajo hal nood ku xidhan NVLink si loo dedejiyo hoos u dhigista dhammaan.
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
Jadwalka Heerka Waxbarashada
Su'aalaha soo noqnoqda
What is GPU Scheduling and Cluster Orchestration?
Jadwalka GPU ayaa go'aaminaya shaqooyinka ay ku shaqeeyaan dardar-geliyayaasha iyo goorta, halka abaabulku uu isku dubbarido shaqooyinkan dhammaan kooxaha mashiinnada. Si wada jir ah waxay ku mashquuliyaan GPU-yada qaaliga ah, cadaalad ah, oo lagu kalsoonaan karo isticmaaleyaal badan iyo culaysyo shaqo.
Waa maxay sababta jadwalka gaangiska ay muhiim ugu tahay shaqooyinka tababarka la qaybiyo?
Tababarka la qaybiyay wuxuu u baahan yahay dhammaan darajooyinka inay isku mar wada socdaan; Jadwalka koox-kooxeedka oo dhan ama-waxba ayaa ka hortagaya qoondaynta qayb ka mid ah kuwa soo laalaada.
Sidee GPU-yada sida caadiga ah loogu qaabeeyey kheyraad jadwaleeyayaal?
GPU-yada waxaa sida caadiga ah loola dhaqmaa sidii unug dhan oo la tirin karo, si ka duwan saamiyada CPU ee si aan kala sooc lahayn loo jarjaro.
Muxuu jadwalka ogaanshaha topology isku dayo inuu hagaajiyo?
Waxay isla meeldhigtaa darajooyinka isweydaarsada xogta si ay u isticmaalaan isku xirka bandwidth-sare, iyagoo jaraya dhammaan-yaraynta daahitaanka isgaarsiinta.
Ku-darkee ayaa inta badan loo isticmaalaa Kubernetes ee loogu talagalay jadwalka iyo qorsheynta baandooyinka ee shaqooyinka AI?
Volcano (iyo Kueue) waxay ku daraan dufcaddii iyo awoodaha qorshaynta gaangiska ee vanilj Kubernetes ka maqan tahay culayska shaqada ee AI.
Waa maxay preemption-ka loo isticmaalo jadwalaha GPU?
Kahortagista ayaa hakad gelisa ama isbaarada u dhigta shaqooyinka mudnaanta-hooseeya si degdeg ah, shaqada mudnaanta sare leh waxay sheegan kartaa GPU-yada.