Amazon SageMaker Service Update: This release 1) adds a new S3DataType Converse for SageMaker training 2)adds C8g R7gd M8g C6in P6 P6e instance type for SageMaker endpoint 3) adds m7i, r7i, c7i instance type for SageMaker Training and Processing.

Author: AWS

.changes/next-release/feature-AmazonSageMakerService-c2e077a.json

@@ -0,0 +1,6 @@
+{
+    "type": "feature",
+    "category": "Amazon SageMaker Service",
+    "contributor": "",
+    "description": "This release 1) adds a new S3DataType Converse for SageMaker training 2)adds C8g R7gd M8g C6in P6 P6e instance type for SageMaker endpoint 3) adds m7i, r7i, c7i instance type for SageMaker Training and Processing."
+}

services/sagemaker/src/main/resources/codegen-resources/service-2.json

@@ -33927,7 +33927,34 @@
         "ml.c6i.12xlarge",
         "ml.c6i.16xlarge",
         "ml.c6i.24xlarge",
-        "ml.c6i.32xlarge"
+        "ml.c6i.32xlarge",
+        "ml.m7i.large",
+        "ml.m7i.xlarge",
+        "ml.m7i.2xlarge",
+        "ml.m7i.4xlarge",
+        "ml.m7i.8xlarge",
+        "ml.m7i.12xlarge",
+        "ml.m7i.16xlarge",
+        "ml.m7i.24xlarge",
+        "ml.m7i.48xlarge",
+        "ml.c7i.large",
+        "ml.c7i.xlarge",
+        "ml.c7i.2xlarge",
+        "ml.c7i.4xlarge",
+        "ml.c7i.8xlarge",
+        "ml.c7i.12xlarge",
+        "ml.c7i.16xlarge",
+        "ml.c7i.24xlarge",
+        "ml.c7i.48xlarge",
+        "ml.r7i.large",
+        "ml.r7i.xlarge",
+        "ml.r7i.2xlarge",
+        "ml.r7i.4xlarge",
+        "ml.r7i.8xlarge",
+        "ml.r7i.12xlarge",
+        "ml.r7i.16xlarge",
+        "ml.r7i.24xlarge",
+        "ml.r7i.48xlarge"
       ]
     },
     "ProcessingJob":{
@@ -34661,7 +34688,46 @@
         "ml.r7i.12xlarge",
         "ml.r7i.16xlarge",
         "ml.r7i.24xlarge",
-        "ml.r7i.48xlarge"
+        "ml.r7i.48xlarge",
+        "ml.c8g.medium",
+        "ml.c8g.large",
+        "ml.c8g.xlarge",
+        "ml.c8g.2xlarge",
+        "ml.c8g.4xlarge",
+        "ml.c8g.8xlarge",
+        "ml.c8g.12xlarge",
+        "ml.c8g.16xlarge",
+        "ml.c8g.24xlarge",
+        "ml.c8g.48xlarge",
+        "ml.r7gd.medium",
+        "ml.r7gd.large",
+        "ml.r7gd.xlarge",
+        "ml.r7gd.2xlarge",
+        "ml.r7gd.4xlarge",
+        "ml.r7gd.8xlarge",
+        "ml.r7gd.12xlarge",
+        "ml.r7gd.16xlarge",
+        "ml.m8g.medium",
+        "ml.m8g.large",
+        "ml.m8g.xlarge",
+        "ml.m8g.2xlarge",
+        "ml.m8g.4xlarge",
+        "ml.m8g.8xlarge",
+        "ml.m8g.12xlarge",
+        "ml.m8g.16xlarge",
+        "ml.m8g.24xlarge",
+        "ml.m8g.48xlarge",
+        "ml.c6in.large",
+        "ml.c6in.xlarge",
+        "ml.c6in.2xlarge",
+        "ml.c6in.4xlarge",
+        "ml.c6in.8xlarge",
+        "ml.c6in.12xlarge",
+        "ml.c6in.16xlarge",
+        "ml.c6in.24xlarge",
+        "ml.c6in.32xlarge",
+        "ml.p6-b200.48xlarge",
+        "ml.p6e-gb200.36xlarge"
       ]
     },
     "ProductionVariantList":{
@@ -36735,7 +36801,7 @@
       "members":{
         "S3DataType":{
           "shape":"S3DataType",
-          "documentation":"<p>If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training. </p> <p>If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training. </p> <p>If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. <code>AugmentedManifestFile</code> can only be used if the Channel's input mode is <code>Pipe</code>.</p>"
+          "documentation":"<p>If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training. </p> <p>If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training. </p> <p>If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. <code>AugmentedManifestFile</code> can only be used if the Channel's input mode is <code>Pipe</code>.</p> <p>If you choose <code>Converse</code>, <code>S3Uri</code> identifies an Amazon S3 location that contains data formatted according to Converse format. This format structures conversational messages with specific roles and content types used for training and fine-tuning foundational models.</p>"
         },
         "S3Uri":{
           "shape":"S3Uri",
@@ -36766,7 +36832,8 @@
       "enum":[
         "ManifestFile",
         "S3Prefix",
-        "AugmentedManifestFile"
+        "AugmentedManifestFile",
+        "Converse"
       ]
     },
     "S3ModelDataSource":{
@@ -39575,7 +39642,34 @@
         "ml.r5.12xlarge",
         "ml.r5.16xlarge",
         "ml.r5.24xlarge",
-        "ml.p6-b200.48xlarge"
+        "ml.p6-b200.48xlarge",
+        "ml.m7i.large",
+        "ml.m7i.xlarge",
+        "ml.m7i.2xlarge",
+        "ml.m7i.4xlarge",
+        "ml.m7i.8xlarge",
+        "ml.m7i.12xlarge",
+        "ml.m7i.16xlarge",
+        "ml.m7i.24xlarge",
+        "ml.m7i.48xlarge",
+        "ml.c7i.large",
+        "ml.c7i.xlarge",
+        "ml.c7i.2xlarge",
+        "ml.c7i.4xlarge",
+        "ml.c7i.8xlarge",
+        "ml.c7i.12xlarge",
+        "ml.c7i.16xlarge",
+        "ml.c7i.24xlarge",
+        "ml.c7i.48xlarge",
+        "ml.r7i.large",
+        "ml.r7i.xlarge",
+        "ml.r7i.2xlarge",
+        "ml.r7i.4xlarge",
+        "ml.r7i.8xlarge",
+        "ml.r7i.12xlarge",
+        "ml.r7i.16xlarge",
+        "ml.r7i.24xlarge",
+        "ml.r7i.48xlarge"
       ]
     },
     "TrainingInstanceTypes":{