Recover training state faithfully

Specify which state a checkpoint represents, make distributed writes recoverable, and verify resumed training under changed topology and partial failure.

10 published lessons1 module250 min of guided study
  1. 01
    Recover training state faithfullyadvanced · 10 lessons

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Recover training state faithfully

Specify which state a checkpoint represents, make distributed writes recoverable, and verify resumed training under changed topology and partial failure.

  1. 01

    Complete training-state inventory

    Define the state needed to reproduce the next training transition, rather than equating model weights with a resumable experiment.

    25 min
  2. 02

    Consistent checkpoint-cut selection

    Choose a logical update boundary and preserve its causal dependencies before asynchronous serialization begins.

    25 min
  3. 03

    Distributed checkpoint manifests

    Use metadata to prove logical coverage, bind shard identities, and reject incomplete generations before restoration.

    25 min
  4. 04

    Asynchronous checkpoint staging

    Separate immutable capture from background persistence, and bound source lifetimes, staging memory, and outstanding work.

    25 min
  5. 05

    Sharded checkpoint resharding

    Reconstruct destination tensor regions from logical identities and source intersections rather than reassigning rank filenames.

    25 min
  6. 06

    Incremental checkpoints and deduplication

    Reduce repeated storage only while preserving exact reconstruction, live dependency closure, and safe garbage collection.

    25 min
  7. 07

    Checkpoint commit and atomic promotion

    Turn completed immutable payloads into an unambiguous recovery generation with crash-safe publication and retry semantics.

    25 min
  8. 08

    Optimizer, RNG, and data-cursor recovery

    Restore the hidden histories that determine the next update and distinguish a saved generator state from a repeated initial seed.

    25 min
  9. 09

    Topology-changing training resume

    Separate supported state redistribution from preserving effective batch semantics, numerical behavior, and data ownership after scaling.

    25 min
  10. 10

    Checkpoint corruption and restore drills

    Detect broken payloads, validate trusted provenance, and prove recovery with staged structural and next-update oracles.

    25 min
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