Training interruptions should not mean starting over.

Relixa enables unfinished AI training jobs to resume on a different compute provider, preserving progress across infrastructure changes.

Resume anywhere. Lose no training progress.

AI training progress is valuable state.

Relixa packages that progress into portable, verifiable checkpoint bundles, making it possible to preserve and move training state without rebuilding everything from scratch.

Progress should be portable.

Moving AI training between networks requires more than transferring model weights.

Relixa enables the transfer of model weights, optimizer state, and training progress so long-running jobs can continue from where they stopped.

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