Amazon SageMaker Service Update: Launched a new feature in SageMaker to provide managed MLflow Tracking Servers for customers to track ML experiments. This release also adds a new capability of attaching additional storage to SageMaker HyperPod cluster instances.

Author: AWS

.changes/next-release/feature-AmazonSageMakerService-9b2a00b.json

@@ -0,0 +1,6 @@
+{
+    "type": "feature",
+    "category": "Amazon SageMaker Service",
+    "contributor": "",
+    "description": "Launched a new feature in SageMaker to provide managed MLflow Tracking Servers for customers to track ML experiments. This release also adds a new capability of attaching additional storage to SageMaker HyperPod cluster instances."
+}

services/sagemaker/src/main/resources/codegen-resources/paginators-1.json

@@ -216,6 +216,12 @@
       "limit_key": "MaxResults",
       "result_key": "LineageGroupSummaries"
     },
+    "ListMlflowTrackingServers": {
+      "input_token": "NextToken",
+      "output_token": "NextToken",
+      "limit_key": "MaxResults",
+      "result_key": "TrackingServerSummaries"
+    },
     "ListModelBiasJobDefinitions": {
       "input_token": "NextToken",
       "output_token": "NextToken",