checkpointing
AI infra interview questions tagged checkpointing, across every topic.
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Concepts behind "checkpointing"
The curriculum that explains the ideas these questions test.
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Checkpointing and Resumption at ScaleA training checkpoint at frontier scale is terabytes of sharded optimizer state that must be written often enough to bound lost work and fast enough not to stall the job. The interval is a formula in the failure rate and the write cost, and asynchronous sharded writes are what turn it from a 15% tax into a 3% one.🕸️ Distributed Training🔒 Premium
Advanced
Checkpoint I/OA checkpoint of a 70B model's training state is 1.13 TB, and a 405B model's is 6.5 TB. Written synchronously every half hour, it stalls thousands of GPUs for as long as the slowest rank takes to reach the disk. The design that scales writes each rank's shard in parallel, copies it off the GPU to host memory first so the run resumes in seconds, and drains it to durable storage in the background. The arithmetic is bytes per rank against the bandwidth of each hop, and the goal is a checkpoint that costs the run under 1% of its time.🔌 Networking & Storage🔒 Premium
