v1.3

Quick start solutions

1. Add finetuning gemma on GKE with L4 GPUs example (#697)
2. Jetstream autoscaling guide (#703)
3. Enable Ray autoscaler for RAG example application (#722)
4. Fix GKE training tutorial (#706)
5. Update Kueue to 0.7.0 (#707)

ML Platform release (#715)

• Documentation
  1. Add notebook packaging guide to docs (#690)
  2. Added enhancements to the data processing use cases
• Infrastructure
  1. Added H100 and A100 40GB DWS node pools
  2. Moved cpu node pool from n2 to n4 machines
  3. Updated Kueue to 0.7.0
  4. Added initial test harness
• Configuration Management
  1. ConfigSync git repository name allows for easier use of multiple environments. Standardized GitOps scripts
  2. Added a GitLab project module and allowed users to choose between GitHub and GitLab
• Observability
  1. Added NVIDIA DCGM
  2. Added environment_name to the Ray dashboard endpoint
  3. Added Config Controller Terraform module
• Security
  1. Added allow KubeRay Operator to the namespace network policy
  2. Added Secret Manager add-on to the cluster

TPU Provisioner

1. Add admission label selectors and e2e test script (#702)

Benchmarking

1. Add temperature and power usage DCGM metrics (#710)
2. Support for csv output (#705)

General

Add custom metrics stackdriver adapter Terraform module (#718)
Add prometheus adapter Terraform module (#716)
Add Jetstream MaxText Terraform module (#719)