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Release version 3.7.1 (#404)
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CHANGELOG.md

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

hyperpod-pytorch-job-template/CHANGELOG.md

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

hyperpod-pytorch-job-template/pyproject.toml

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[project]
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name = "hyperpod-pytorch-job-template"
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version = "1.4.0"
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version = "1.4.1"
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readme = "README.md"
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authors = [{name = "Amazon Web Services"}]
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license = {text = "Apache-2.0"}

pyproject.toml

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[project]
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dynamic = ["dependencies"]
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name = "sagemaker-hyperpod"
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version = "3.7.0"
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version = "3.7.1"
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description = "Amazon SageMaker HyperPod SDK and CLI"
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readme = "README.md"
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requires-python = ">=3.8"

setup.py

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

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