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Storage for AI Training Clusters
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GUIDE teknik
Slurm njiitu liggéey la bu ubbeeku, mooy waajal ak doxal ay liggéey ci cluster ordinatër yu am doole, mu nekk tànneef biñ tànn ci tàggat IA yu mag.
Déglul tegtal biiIA-nettali · ~2 min
Dafa am solo ndax dafay séddale tàggat yaram yu bari ci ay junni GPU.
Slurm (Utilite Linux bu yomb ngir doxal ay jumtukaay) mingi cosaanoo ci super ordinatër te leegi mooy dooleel cluster yu gëna mag ci àdduna bi di tàggat IA. Jëfandikukat yi dañuy joxe script yu bari ak sbatch, laaj jumtukaay yu melni node ak GPU ak tegtal yu melni --gres = gpu: 8, ak raŋ Slurm, njëkkante, ak tàmbali liggéey bi. Launcher srun bi dafay jur ay liggéey yuñ boole ci node yi, yuy boole seen bopp ak kaadar yuñ séddale yu melni PyTorch DDP ak NCCL. Slurm dafay topp kontabilite ci jumtukaay yi, di tëral ay yamaleg séddoo ak xaaj, ba noppi di yoriinu kalendriye delloosi ngir dindi ay liggéey yu ndaw ci ay bërëb. Ci wàllu tàggat modelu frontiere, ekip yi dañuy wéeru ci Slurm ngir yor ay junni GPU, tàmbaliwaat ci checkpoint yi ginaaw bi node yi ñàkkee, ba noppi denc kàttan ngir daw ayu-bis yu bari.
Benn laboratoire frontier dafa tàmbali tàggat ayu-bis yu bari ci ay junni GPU ak benn script buy laaj téemeeri node.
Benn gëstukat dafa joxe 'srun --gres=gpu:8' ngir jël juróom ñatti GPU ci benn node ngir jàngat PyTorch DDP.
Backfill scheduling slots ab liggéeyu evaluation bu gàtt ci GPUs yu inaxul yi ci jamono ji ab tàggat yaram bu mag buñ denc di xaar ngir tàmbali.
Ginaaw bi node bi jàllul ci diggu run bi, Slurm dafay delloosi liggéey bi ba noppi mu dellu ci checkpoint bi mujjee ci barabu tàmbaliwaat.
Slurm mingi wéy di yokk cloud-bursting, jàppale conteneur jaaraleko ci Pyxis ak Enroot, ak man-mani GPU yu gëna dëgër. Bi clusters IA di yokk ba yegg ci 100,000-plus GPUs, xaar tolerans bu gëna am doole ci njuumte, boole checkpoint-tambaliwaat ci saa si, ak liggéey yu elastik yuy soppi dayo bi ginaaw bi ñu defee njuumte. Mbootaay yu bari leegi dañuy doxal Slurm ci wetu wala ci suufu Kubernetes, te scheduler hybrid yi dañu bëgga boole njariñu xeetu HPC ak neexaayu cloud-native ngir tàggat yaram yu gëna mag.
Bulletin bu amul fayda
Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.
Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.
Nattal sa bopp
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Slurm njiitu liggéey la bu ubbeeku, mooy waajal ak doxal ay liggéey ci cluster ordinatër yu am doole, mu nekk tànneef biñ tànn ci tàggat IA yu mag. Dafa am solo ndax dafay séddale tàggat yaram yu bari ci ay junni GPU.
sbatch dafay yónnee ab script batch buy leeral jumtukaay yi ak ndigal yi ngir ab liggéey ci rang Slurm.
Sistem Resource Generique (GRES) dafay may liggéey yi ñu laaj GPU ci anam wu leer, ci misaal --gres=gpu:8.
slurmctld mooy daemon biy doxal liggéey yi, fekk slurmd dafay daw ci node bu nekk ngir tàmbali liggéey yi.
srun launches task steps in the allocation and exposes Slurm task information; distributed frameworks may still require explicit rendezvous settings.
Backfill dafay gëna baaxal jëfandikoo gi ndax dafay boole ay liggéey yu ndaw ci ay bërëb yuñ tëral, lépp bëgg ñu baña delloo liggéey yiñ denc.
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Ci bi mu melGis bi ci topp
Storage for AI Training Clusters
Xarala