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NCA-ADS - Introductory MLOps Practices - Section 6.6

Benchmark workflows.

Benchmark data science workflows by measuring wall-clock time, GPU utilisation, and memory consumption before and after optimisation changes. Use repeatable benchmark conditions - fixed data sizes, warm-up passes, and isolated hardware - to produce comparable results.

More in this domain

Monitor data science pipelines.Section 6.1
Track experiments with MLflow and Weights & Biases.Section 6.2
Manage models, including saving and loading.Section 6.3
Monitor production models for drift.Section 6.4
Manage artefacts.Section 6.5

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