Checkpointed Vast.ai Training Run

Overview

Treat a training run as a recoverable state machine, not an SSH session. Bind code and image identity, select an offer through policy, persist checkpoints outside the disposable root disk, export final evidence, and destroy.

Prerequisites

• Immutable image and code revision with deterministic training command
• GPU, VRAM, disk, reliability, geography, and price policy
• Checkpoint destination, resume test, runtime deadline, and cleanup owner

Instructions

Step 1: Freeze the run manifest

Record code revision, image digest, dataset version, command, seed, expected checkpoint cadence, budget, and output destination.

Step 2: Select and create