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A training container must run reproducibly with its required libraries on a managed training service. Which approach best fits?
Published
- Use monitored stopping criteria and evaluate whether additional training is justified.
- Package dependencies in a versioned compatible training image.
- Benchmark representative data and record quality, throughput, and cost.
- Use durable training checkpoints and verify resume behavior.
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