Practical · gpu
GPU scheduling and resource management
You will know how Kubernetes discovers GPUs, when to share them, and how to plan tensor and pipeline parallelism.
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0 / 3 lessons
- 01GPU discovery on KubernetesHow the cluster learns what hardware it actually has3 min
- 02Scheduling, MIG, and Dynamic Resource AllocationHow to share scarce GPUs without ruining anyone's latency4 min
- 03Multi-GPU inference: tensor and pipeline parallelismWhen one GPU is not enough, how do many cooperate?4 min
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GPU sharing for a mixed workload
A shared GPU cluster supports both production inference and best-effort tuning experiments.
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