The `StandardAutoscaler` is a component provided by the Python package `ray.autoscaler.autoscaler` which offers functionality for automatically scaling the resources of a Ray cluster according to the current workload. It dynamically adjusts the number of Ray worker nodes based on factors such as CPU and memory utilization, enabling efficient resource allocation and improved cluster performance. The `StandardAutoscaler` implementation follows standard autoscaling principles to ensure that the cluster is properly scaled up or down as needed, helping to optimize resource usage and maintain the desired level of performance for Ray applications.
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