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Azure
Kubernetes AI Toolchain Operator
**Reason for Change**: **Requirements** - [ ] added unit tests and e2e tests (if applicable). **Issue Fixed**: **Notes for Reviewers**:
**Reason for Change**: Added debug flag and tuning /metrics endpoint
Bumps [github.com/onsi/gomega](https://github.com/onsi/gomega) from 1.33.1 to 1.34.1. Release notes Sourced from github.com/onsi/gomega's releases. v1.34.1 1.34.1 Maintenance Use slices from exp/slices to keep golang 1.20 compat [5e71dcd] v1.34.0 1.34.0 Features Add RoundTripper...
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot] avatar"){kind=avatar}
Bumps [github.com/aws/karpenter-provider-aws](https://github.com/aws/karpenter-provider-aws) from 0.36.2 to 0.37.0. Release notes Sourced from github.com/aws/karpenter-provider-aws's releases. v0.37.0 Note: This release adds a readiness condition to the EC2NodeClass. A CRD upgrade will be required. Please...
Bumps [github.com/Azure/karpenter-provider-azure](https://github.com/Azure/karpenter-provider-azure) from 0.5.0 to 0.5.1. Release notes Sourced from github.com/Azure/karpenter-provider-azure's releases. v0.5.1 What's Changed chore(deps): bump the action-deps group across 1 directory with 2 updates by @dependabot in Azure/karpenter-provider-azure#378...
Bumps [github.com/samber/lo](https://github.com/samber/lo) from 1.45.0 to 1.46.0. Release notes Sourced from github.com/samber/lo's releases. v1.46.0 What's Changed fix: chunk memory leak, bug fix by @mihir20 in samber/lo#491 feat: add WaitForWithContext by @ccoVeille...
**Reason for Change**: Begin adding minimum amount of per GPU memory required for fine-tuning
Bumps [k8s.io/kubernetes](https://github.com/kubernetes/kubernetes) from 1.30.1 to 1.30.2. Release notes Sourced from k8s.io/kubernetes's releases. Kubernetes v1.30.2 See kubernetes-announce@. Additional binary downloads are linked in the CHANGELOG. See the CHANGELOG for more details....
**Reason for Change**: Update base image from dockerhub to MCR base image
Add code for tuning input dataset format validation