Azure Machine Learning public preview announcements – August 2021
Published date: 12 August, 2021
Cross Location Compute (CLC), allows the users to create clusters in locations that are different from the location of the workspace. With CLC, users can maximise idle capacity allocation and space efficiency, utilise VM SKUs that are only available in a specific regionand ensure that they create two workspaces in two different locations, just to make sure that they use their quota.
Hierarchical Time Series eliminates the need for you to manually create individual models to produce forecasts for your hierarchy data, and aims to generate hierarchy-aware and consistent forecasts at all levels of your hierarchy.
Compute instance and auto-shutdown/auto-start provides users with a streamlined way to control and optimise operating costs in an automated fashion, enhancing general governance of the AML workspace.
Learn to create compute clusters.