2025 AI Infrastructure Checklist
A senior architect's guide to identifying bottlenecks before they stall your training runs.
□ GPU Utilization Audit
Are your GPUs idling during data loading? Check your iowait metrics. If they are above 5%, your storage is starving your compute.
□ Spot Instance Orchestration
Are you still using On-Demand? Implement snapshot-aware checkpointing to move to Preemptible/Spot GPUs and save up to 70% instantly.
□ Fabric & RDMA Health
Run a pftests or ib_write_bw. Tail latency in your InfiniBand or RoCE fabric is often the hidden killer of distributed training scaling.
□ Artifact Lineage
Can you reproduce a model from 3 months ago? Ensure your model registry and dataset versioning are tightly coupled to your training manifests.
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