Usoro nhazi GPU na nhazi ụyọkọ
Ịhazi oge GPU na-ekpebi ọrụ ndị na-arụ ọrụ ngwa ngwa na mgbe, ebe nhazi na-ahazi ọrụ ndị a n'ofe ụyọkọ igwe.
Nchịkọta
Together they keep expensive GPUs busy, fair, and reliable for many users and workloads.
Ime miri emi
Na ụyọkọ AI nkekọrịta, ọtụtụ ndị ọrụ na-asọ mpi maka GPU dị ụkọ nke nwere ike na-eri iri puku kwuru iri puku dollar nke ọ bụla. Onye nhazi oge dakọtara ihe achọrọ ọrụ ọ bụla (ọnụọgụ GPU, ebe nchekwa, topology) na ngwaike dị, na-amanye ihe ndị ka mkpa na oke oke oke, yana kwụ n'ahịrị na-arụ ọrụ mgbe ụyọkọ juru. Orchestration na-aga n'ihu: ọ na-edobe arịa, na-ebuli data, na-edozi ọdịda, malitegharịa ndị ọrụ mebiri emebi, na stitches ọnụ ọzụzụ ekesa multi-node. Kubernetes nwere ngwa mgbakwunye ngwaọrụ NVIDIA na mgbakwunye dị ka Volcano ma ọ bụ Kueue na-ejikwa nhazi oge nke ndị otu, ebe ndị ọrụ niile na-ekesa ọrụ ga-amalite ọnụ ma ọ bụ na ọ nweghị onye na-eme ya. Usoro nhazi dị mma na-asọpụrụ GPU interconnect topology, nhazi ọkwa nke chọrọ nkwurịta okwu NVLink ngwa ngwa iji zere obere mkpọmkpọ ọnụ cross-node.
Nghọta nka nka
A na-ekpughe GPU dị ka ihe nwere ike ịgụta ọnụ, nke anaghị ekewa, yabụ ndị na-ahazi usoro na-esochi ha dị ka integers kama ịkekọrịta okirikiri CPU. Ịhazi oge ndị otu (ma ọ bụ ngalaba-) dị oke egwu: ọrụ ọzụzụ ekesa na 64 na-egbu egbu ma ọ bụrụ na enyere naanị GPU 60, yabụ onye nhazi ahụ ga-ekenye ihe niile ma ọ bụ ihe ọ bụla. Ebe Topology maara nke ọma na-agụ usoro NVLink na InfiniBand iji nọgide na-ekwurịta okwu n'ọkwa nso, na-ebelata nkwụsịtụ na-ebelata ihe niile na-achịkwa ọzụzụ ihe nlereanya.
Mmetụta atụmatụ
Ọnụ ego na mmefu ego
Mkpebi ihe owuwu ụlọ na-akwalite arụmọrụ yana ọnụ ahịa ọrụ ruo ọtụtụ afọ.
Mkpebi doro anya
Nkà mmụta nka na-enyere ndị otu egwuregwu aka ịhọrọ nchịkọta ziri ezi, ọ bụghị naanị nke kachasị ọhụrụ.
Quality akara
Nhọrọ injinia ka mma na-ebelata ihe omume ntụkwasị obi na mmepụta.
Ọdịnihu nke nhazi oge GPU na nhazi ụyọkọ
Ndị na-ahazi oge na-amawanye ihe gbasara GPU ndị na-ekere òkè na nke oge, MIG-aware bin- packing, na preemption nke na-enyocha ọrụ iji nwetaghachi ikike maka ọrụ dị elu. Na-atụ anya mwekota miri emi site na iji ume na nkwalite ọnụ ahịa, ikike ijikwa ntụpọ, yana nhazi oge ndị otu akpaka maka ọzụzụ ngbanwe nke na-eto ma ọ bụ na-ebelata ọnụ ọgụgụ ndị ọrụ. Dị ka ụyọkọ ọnụ ọgụgụ ruru iri puku kwuru iri puku GPU, mmejọ na-anabata mmejọ nke na-adị ndụ ọdịda ngwaike ugboro ugboro na-aghọ ihe dị mkpa.
Mmejuputa n'ezie n'ụwa
Ụlọ nyocha nyocha na-eji oke nhata nke ọma ka ọ nweghị otu otu nwere ike itinye GPU niile ebe ndị ọzọ na-eche n'ahịrị.
Kubernetes na ndị otu mgbawa ugwu-haziri ọrụ ọzụzụ 32-GPU nke mere na onye ọrụ ọ bụla na-amalite ozugbo, na-egbochi mmechi nke oke akụkụ.
Onye na-ahazi ihe na-ebu ụzọ anwale nnwale dị ala, na-enyocha ya, ma na-ahapụ GPU maka ọsọ azụghachi mmepụta ngwa ngwa.
Ebe Topology maara nke ọma na-achọta ọkwa asatọ n'otu ọnụ njikọ NVLink iji mee ka gradient niile belata.
Ihe ize ndụ & okporo ụzọ nche
Ịkwalite otu akara ngosi nwere ike zoo adịghị ike sistemụ sara mbara.
A na-eledakarị ihe akụrụngwa na ụgwọ ọrụ anya.
Ọdịiche nchekwa na nleba anya nwere ike itolite ka sistemu na-adịwanye mgbagwoju anya.
Map mmejuputa
Kọwaa latency, ịdịmma na ebumnuche ọnụ ahịa tupu mmejuputa ya.
Benchmark n'okpuru ibu dị adị na ọnọdụ data.
Nleba anya akụrụngwa maka mperi, ịkpafu na mmetụta onye ọrụ.
Kwadebe ụzọ nzaghachi azụghachi azụ na ihe omume tupu ịchachaa.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Ịhazi ọnụ ọgụgụ mmụta
Ajụjụ a na-ajụkarị
What is GPU Scheduling and Cluster Orchestration?
Ịhazi oge GPU na-ekpebi ọrụ ndị na-arụ ọrụ ngwa ngwa na mgbe, ebe nhazi na-ahazi ọrụ ndị a n'ofe ụyọkọ igwe. Ha jikọtara ọnụ na-eme ka GPU dị oke ọnụ na-arụsi ọrụ ike, ziri ezi na ntụkwasị obi maka ọtụtụ ndị ọrụ na ibu ọrụ.
Kedu ihe kpatara nhazi oge ndị otu ji dị mkpa maka ọrụ ọzụzụ ekesa?
Ọzụzụ kesara chọrọ ọkwa niile na-agba ọsọ n'otu oge; usoro ndị otu na-enweghị ihe ọ bụla ma ọ bụ ihe ọ bụla na-egbochi oke oke nke kwụgidere.
Kedu ka ndị na-eme nhazi na-esi emepụta GPU dị ka ihe enyemaka?
A na-elekarị GPU dị ka nkeji dum nwere ike ịgụta ọnụ, n'adịghị ka mbak CPU nke enwere ike igburi ya n'amaghị ama.
Kedu ihe nhazi nhazi nke topology na-agbalị ịkwalite?
Ọ na-ejikọta ọkwa na-agbanwe data ka ha jiri njikọ bandwit dị elu, na-ebelata ihe niile na-ebelata nzikọrịta ozi.
Kedu ihe mgbakwunye a na-ejikarị na Kubernetes maka nhazi nhazi na nhazi nke ọrụ AI?
Volcano (na Kueue) na-agbakwunye batch na ikike ịhazi ndị otu nke vanilla Kubernetes enweghị maka ibu ọrụ AI.
Kedu ihe a na-eji preemption maka onye nhazi GPU?
Nkwụsịtụ ma ọ bụ nleba anya ọrụ ndị dị obere mkpa dị ngwa ngwa, ọrụ dị elu nwere ike ị nweta GPU.