CircleCI's shared workspaces functionality allows users to seamlessly integrate local and cloud CI/CD environments without the need for VPNs or additional infrastructure, facilitating data processing across hybrid setups. Users can run jobs on either CircleCI's managed cloud compute, which offers on-demand environments like Docker and virtual machines, or their own infrastructure with self-hosted runners, providing flexible execution tailored to specific hardware needs. This capability is particularly beneficial for tasks requiring intensive processing, such as machine learning, allowing data to be created or loaded in one environment and persisted to another without complex setups. The process involves using the persist_to_workspace and attach_workspace keys in the CircleCI configuration file to manage data transfer across jobs, ensuring efficient resource use and workflow execution. CircleCI's platform supports the automation of CI/CD workflows, offering up to 6,000 free build minutes monthly, and integrates with both local infrastructure and private or hybrid clouds for enhanced processing power.