What service utilizes Amazon EC2 Spot instances to run training jobs instead of on-demand instances?

Managed Spot Training is a feature that specifically utilizes Amazon EC2 Spot instances to efficiently run machine learning training jobs. The service is designed to reduce costs by taking advantage of the lower prices associated with Spot instances, which are spare computing capacity offered at a significant discount compared to on-demand instances.

When using Managed Spot Training, users can set a maximum bid price for their Spot instances, and the service automatically handles interruptions by pausing the training job and resuming it once the Spot instances are available again. This capability is crucial for machine learning workloads that can tolerate some interruptions, allowing users to optimize their compute costs while still effectively training their models.

In contrast, while Amazon SageMaker Training can run training jobs on both on-demand and Spot instances, Managed Spot Training is specifically tailored for leveraging Spot instance pricing strategies, making it more efficient for budget-conscious projects. Other options like Amazon EC2 Auto Scaling and AWS Batch are not directly related to machine learning training jobs, as they serve different purposes within the AWS ecosystem. AWS Batch, for example, is designed for batch processing jobs and may not be as focused on the unique requirements of machine learning training compared to Managed Spot Training.

Thus, the utilization of Spot instances specifically for training jobs, with the added benefits of