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GPU Scheduling and AI Batch Workloads on Kubernetes

Run real queues, quotas and gang scheduling on simulated GPUs

고급 · Lessons 25 · Lab 7

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Curriculum

What a device plugin writes on the node

DRA: which device, not how many

Kueue: the queue admits, the scheduler places

Kueue: borrow, reclaim, preempt

JobSet: distributed training as one unit

LeaderWorkerSet: one inference engine across nodes

KAI-Scheduler: deciding at placement time

How Dynamo runs on Kubernetes

Seeing it in layers, then fixing it upstream

Reference docs