Multi-Instance GPU Partitioning
Multi-Instance GPU (MIG) iNVIDIA tekinoroji inocheka imwechete yemuviri GPU kuita akawanda ega Hardware partitions.
Pfupiso
It matters because it lets one expensive accelerator serve many small workloads at once without them interfering with each other.
Kudzika Kwakadzika
Yakaunzwa neNVIDIA A100 (Ampere) uye yakaenderera mberi paH100 uye nyowani data-center GPUs, MIG inoveza GPU muzviitiko zvinomwe zvakazvimirira. Kusiyana nesoftware nguva-kucheka, MIG inopa yechokwadi hardware yekuzviparadzanisa: imwe neimwe chiitiko inowana yayo yakatsaurirwa kutenderera multiprocessors (SMs), L2 cache zvimedu, memory controllers, uye yakagadziriswa chidimbu cheyakakwira-bandwidth memory. Iyo A100 ine 40GB inogona kupatsanurwa kuita manomwe 5GB zviitiko, kana mashoma makuru. Chikamu chega chega chinoita seGPU diki yakamira, saka basa rine ruzha kana kuparara mune imwe nguva harigone kufa nenzara kana kukanganisa imwe. Iyi yakavimbiswa yemhando-ye-sevhisi inoita kuti MIG ive yakanaka kune inferensi yekushandira, akawanda-anoroja masumbu, uye nharaunda dzekusimudzira uko vashandisi vazhinji vanogovana kadhi rimwe.
Technical Insight
MIG inoshanda nekugezera iyo GPU yemukati muchinjiko kuitira kuti imwe neimwe nhanho ine nzira yakamisikidzwa kune yayo yega memory slice uye SMs. NVIDIA inotsanangura maprofayiri sezvikamu zvakaita se1g.5gb (imwe compute slice, 5GB) kusvika pa7g.40gb. A GPU Instance inochengetedza ndangariro uye SMs; mukati mayo Compute Instance inoparadzanisa maSMs zvakare. Nekuti zvikamu zvacho ndezve-hardware-enforced, zvikanganiso, ECC zvikanganiso, uye memory bandwidth inogara yakavharirwa kune imwechete muenzaniso.
Strategic Impact
Mutengo uye bhajeti
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
Sarudzo dzakajeka
Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
Kudzora kwemhando yepamusoro
Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Ramangwana reMulti-Instance GPU Partitioning
Sezvo maGPU anokura kusvika ku80GB, 141GB, uye nekupfuura, kupatsanura kunowedzera kutaridzika nekuti mamodheru ega haawanzoda kadhi rese rekufungidzira. Tarisira yakasimba Kubernetes uye kubatanidzwa kwegore, kupatsanurwa kune simba pasina kudhiza node, uye maprofiles akakwenenzverwa. Vatengesi vanokwikwidza vari kutevera yakafanana SR-IOV-maitiro GPU virtualization, uye serverless inference mapuratifomu anowedzera kuvimba nekuparadzanisa kurongedza akawanda mamodheru uye kucheka tsvina isina basa.
Real-World Implementation
Mupi wegore anotsemura imwe A100 kuita zviitiko zvinomwe kuitira kuti vatengi vanomwe mumwe nemumwe awane yakavimbiswa, yakasarudzika GPU chidimbu chekufungidzira.
Sangano rekutsvagisa yunivhesiti rinopa mudzidzi wega wega wePhD 10GB MIG muenzaniso weprototyping pachinzvimbo chekutonga makadhi akazara.
Sevhisi yekufungidzira inotakura akati wandei mitauro midiki uye echiono modhi pane imwe H100, imwe neimwe muchikamu chayo ine inofanotaurwa latency.
A Kubernetes cluster inoshambadza MIG zviitiko sezvishandiso zvinorongwa saka mapods anokumbira 'nvidia.com/mig-1g.5gb' senge chero imwe sosi.
Njodzi & Guardrails
Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.
Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.
Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.
Implementation Roadmap
Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
Benchmark pasi pechokwadi mutoro uye data mamiriro.
Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Ramba Uchiongorora
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What is Multi-Instance GPU Partitioning?
Multi-Instance GPU (MIG) iNVIDIA tekinoroji inocheka imwechete yemuviri GPU kuita akawanda ega Hardware partitions. Izvo zvine basa nekuti inoita kuti imwe inodhura accelerator ishumire akawanda madiki ebasa kamwechete pasina ivo kupindirana.
Ndeupi rudzi rwekuzviparadzanisa nevamwe rwunopihwa neMIG pakati pezviitiko?
MIG inomanikidza kuzviparadzanisa muhardware, kutsaurira maSM, L2 cache zvimedu, uye ndangariro kune yega yega chiitiko kuitira kuti mitoro yebasa isakanganise.
Ndeipi NVIDIA yekuvakisa yakatanga kuunzwa MIG?
MIG yakatanga neAmpere-based A100 uye yakaenderera mberi paH100 uye gare gare data-center GPUs.
Ndeipi nhamba yepamusoro yezviitiko iyo MIG-inokwanisa GPU inogona kupatsanurwa kuita?
Iyo MIG-inokwanisa GPU senge iyo A100 inogona kupatsanurwa kusvika kune manomwe akazvimirira zviitiko.
Mune chimiro cheMIG se'1g.5gb', '5gb' inomiririrei?
Iyo mbiri inoisa compute zvimedu (1g) uye yakatsaurirwa ndangariro (5GB) yakapihwa kumuenzaniso.
Ndeupi mutoro webasa unonyanya kukodzera MIG?
MIG inopenya kana akawanda madiki, akaremerwa ega mabasa (senge inference) achigovera kadhi rimwe chete neakavimbiswa mhando yebasa.