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Multi-Instance GPU Partitioning
NVIDIA Multi-Instance GPU partitions supported GPUs into instances with assigned compute and memory resources.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
It can improve sharing for smaller workloads, but profile support and isolation boundaries depend on the GPU and configuration.
Kudzika Kwakadzika
MIG was introduced with the NVIDIA A100 and is supported on selected later GPUs. A GPU Instance groups compute and dedicated memory resources, including assigned paths through cache and memory hardware. On an A100 40 GB, supported layouts can provide up to seven small GPU Instances or fewer larger ones. Compute Instances can further divide compute resources inside a GPU Instance while sharing its memory resources. This differs from ordinary software time slicing, but does not imply immunity from every device-level fault or interference in the wider host and service. Workload capacity, supported profiles, and operational constraints should be tested on the actual GPU.
Kuitwa muNyika yeChokwadi
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.
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.
Kuzvishandisa
Nei zvichikosha
- 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.
Chenjera
- 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.
Matanho anotevera
- 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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Take the Multi-Instance GPU Partitioning quiz
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Mibvunzo inowanzo bvunzwa
What is Multi-Instance GPU Partitioning?
NVIDIA Multi-Instance GPU partitions supported GPUs into instances with assigned compute and memory resources. It can improve sharing for smaller workloads, but profile support and isolation boundaries depend on the GPU and configuration.
Which resource boundary distinguishes separate MIG GPU Instances from software time slicing?
MIG assigns hardware resource slices. Compute Instances within a shared GPU Instance have a different boundary, and device-level faults are not universally eliminated.
Ndeipi NVIDIA yekuvakisa yakatanga kuunzwa MIG?
MIG yakatanga neAmpere-based A100 uye yakaenderera mberi paH100 uye gare gare data-center GPUs.
On an A100 40 GB using supported small-instance profiles, how many GPU Instances can a layout provide?
The A100 supports layouts of up to seven GPU Instances. Maximum counts and profiles should not be generalized to all GPU models.
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.
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