Course overview
Deep dive into Kubernetes for GPU workloads: Kubernetes primitives for AI services, GPU scheduling, NVIDIA GPU Operator and GPU telemetry/failure modes. Practical guidance for running GPU clusters in production.
Introduces Kubernetes primitives relevant to AI services: Deployments, StatefulSets, Services and AI-focused CRDs.
Covers GPU scheduling strategies: node pools, taints and tolerations for correct workload placement.
Describes the NVIDIA GPU Operator to manage drivers and GPU components declaratively.
Covers GPU telemetry: key metrics, common failure modes and practical investigation techniques.
4lessons
4lessons
20activities
0exercises
3videos
Skills and topics covered
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