remove automatic runtime

Author: cloga

articles/machine-learning/prompt-flow/migrate-managed-inference-runtime.md

@@ -26,14 +26,6 @@ If the existing managed online endpoint/deployment runtime is used by yourself a
 - Create compute instance yourself or ask the workspace admin to create one for you. To learn more, see [Create and manage an Azure Machine Learning compute instance](../how-to-create-compute-instance.md).
 - Using the compute instance to create a runtime. You can reuse the custom environment of the existing managed online endpoint/deployment runtime. To learn more, see [Customize environment for runtime](how-to-customize-environment-runtime.md).
 
-## Migrate to automatic runtime
-
-If the existing managed online endpoint/deployment runtime is shared with other users, you must create a compute instance runtime for everyone. You can also try the new automatic runtime, which can be used in every workspace.
-
-When using the automatic runtime, you don't need to explicitly manage compute resource and environment. Each flow can specify python dependency in `requirements.txt` in `flow.dag.yaml`. You can also change the instance type when submitting the flow. Prompt flow will try its best to reuse the compute session if it requires the same instance type and python dependency.
-
-If the compute resource is idle for 30 minutes, it will automatically clean up. Other users can reuse the compute resource.
-
 ## Next steps
 
 - [Customize environment for runtime](how-to-customize-environment-runtime.md)