102. Design a GPU Cluster Scheduler for Training Jobs
Thousands of GPUs shared by many teams: gang admission, topology-aware placement, quotas with lending, checkpointed preemption and failure recovery.
ClassicMedium
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103. Design Model Weight Distribution to a GPU Fleet
A 500 GB model on 1,000 GPU servers in minutes: chunks and hashes, a topology-aware swarm, signed manifests, bandwidth budgets and waves.
ClassicMedium117. Design a Self-Healing GPU Fleet
Detect, classify and repair failing GPU nodes (Xid errors, ECC, NVLink and EFA faults, stragglers, silent corruption) without draining the fleet.
ClassicMedium