1.25.0

1.25.0

New Features

• ML Job: Added support for creating ML job definitions and launching jobs with different
  arguments without re-uploading payloads.

• Inference Autocapture (PuPr): The create_service API will now accept autocapture as a new argument to indicate
  whether inference data will be captured.

• Model serving: Introduced the min_instances field in the mv.create_service() and
  HuggingFacePipelineModel.log_model_and_create_service() APIs (defaulting to 0). The service now launches
  with the min_instances and automatically scales between min_instances and max_instances based on
  traffic and hardware utilization. When min_instances is set to 0, the service will automatically suspend
  if no traffic is detected for a period of time.

Bug Fixes

Behavior Changes

• Inference Autocapture (PuPr): list_services() now shows autocapture_enabled column to indicate if model
  service has autocapture enabled.

• Model serving: The mv.create_service() and HuggingFacePipelineModel.log_model_and_create_service() APIs now
  include a min_instances field (defaulting to 0). When these APIs are called without specifying min_instances,
  the system will now launch the service with 1 instance and enable auto scaling. This replaces the previous behavior,
  where min_instances was automatically set to match max_instances, resulting in the immediate launch of the
  maximum number of instances.

Deprecations