Jobs and Job Runs are introduced in Data Science

The jobs feature enables you to define and run a repeatable machine learning task on a fully managed infrastructure. Jobs enable custom tasks, so you can apply almost any use case you may have like data preparation, model training, hyperparameter optimization, batch inference, and so on.

Jobs enable you to easily and cost-efficiently run compute workloads on Oracle Cloud Infrastructure. Oracle Data Science jobs automatically provisions the required compute resources (CPU or GPU), block volume, shape, and network configuration of the job submitted.

With Data Science jobs, there is no need to install and manage compute, server clusters, or software that run your jobs, allowing you to focus on your use cases, and solving your business problems.

For more information, see Data Science and Data Science API. Take a look at our Data Science blog.