Optimize AI/ML workloads for sustainability: Part 2, model development

If you missed the first part of this series, we showed you how to examine your workload to help you 1) evaluate the impact of your workload, 2) identify alternatives to training your own model, and 3) optimize data processing. These rules monitor your workload and will automatically stop a training job

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