Release version 3.7.1

CHANGELOG.md

@@ -1,5 +1,32 @@
 # Changelog
 
+## v3.7.1 (2026-04-08)
+
+### New Instance Type Support
+- Add g7e instance types to HyperPod helm chart values (nvidia/EFA device plugins) (#380)
+- Add g7e instance types to Python constants and CLI (#385, #390)
+- Add g7e instance types to health-monitoring-agent node affinity (#381)
+- Add B300 MIG profiles to GPU operator ConfigMap (#396)
+- Add MIG profile support for ml.p6-b300.48xlarge (Blackwell Ultra) (#398)
+
+### Inference Operator
+- CRD updates: BYO certificate, RequestLimitsConfig, Custom Kubernetes support (#402)
+- Bump hyperpod-inference-operator subchart to v2.1.0 with image tag v3.1 (#402)
+
+### Enhancements
+- Support AWS_REGION env var, cluster context fallback, centralize boto3 client creation (#395)
+- Handle pagination in cluster stack listing (#394)
+- Require --instance-type when specifying accelerator resources (#393)
+
+### Bug Fixes
+- Fix EFA field naming in PyTorch job template v1.1: `efa_interfaces` -> `efa`, `efa_interfaces_limit` -> `efa_limit` (#392)
+- Fix deep health check nodeSelector label to `sagemaker.amazonaws.com/deep-health-check-status: Passed` (#386)
+- Remove non-EFA instance types from EFA device plugin nodeAffinity to prevent CrashLoopBackOff (#389)
+- Add missing instance types and fix EFA/memory resource specs (#385)
+
+### Health Monitoring Agent
+- Release Health Monitoring Agent 1.0.1434.0_1.0.388.0 (#388)
+
 ## v3.7.0 (2026-03-02)
 
 Space CLI

hyperpod-pytorch-job-template/CHANGELOG.md

@@ -1,3 +1,9 @@
+## v1.4.1 (2026-04-08)
+
+### Bug Fixes
+* Fix EFA field naming: `efa_interfaces` -> `efa`, `efa_interfaces_limit` -> `efa_limit` (#392)
+* Fix deep health check nodeSelector label to `sagemaker.amazonaws.com/deep-health-check-status: Passed` for v1.0 and v1.1 (#386)
+
 ## v1.4.0 (2026-01-27)
 
 ### Features

hyperpod-pytorch-job-template/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "hyperpod-pytorch-job-template"
-version = "1.4.0"
+version = "1.4.1"
 readme = "README.md"
 authors = [{name = "Amazon Web Services"}]
 license = {text = "Apache-2.0"}

pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "setuptools.build_meta"
 [project]
 dynamic = ["dependencies"]
 name = "sagemaker-hyperpod"
-version = "3.7.0"
+version = "3.7.1"
 description = "Amazon SageMaker HyperPod SDK and CLI"
 readme = "README.md"
 requires-python = ">=3.8"

setup.py

@@ -47,7 +47,7 @@
 setup(
     data_files=sagemaker_hyperpod_recipes,
     name="sagemaker-hyperpod",
-    version="3.7.0",
+    version="3.7.1",
     description="Amazon SageMaker HyperPod SDK and CLI",
     long_description=open("README.md").read(),
     long_description_content_type="text/markdown",