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merge upstream #4
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* add -y for apt-get install to prevent image build failure * sign * sign * sign * fix tensorflow_mnist_train_distributed tutorial
* Update DWS-examples README to use latest Kueue version, delete Kueue manifest file * Update tutorials-and-examples/workflow-orchestration/dws-examples/README.md Co-authored-by: Aldo Culquicondor <[email protected]> * Add link to Kueue's installation documentation --------- Co-authored-by: Aldo Culquicondor <[email protected]>
…702) * Add admission label selectors and e2e test script * Edit log msgs
* Adding CSV output pushed by the Locust master * Piping in output bucket * removing gcs bucket
* Move webhook folder to ray-on-gke/tpu * Change webhook path
* first commit * remove terraform.tfvar * refactoring * remove hardcoding * remove bash_equivalent
* first commit * Update README.md
* Updated terraform providers * Standardized GitOps scripts and added Kueue * Added initial test harness * Added h100 DWS node pool * Add notebook packaging guide to docs (#690) add notebook packaging guide * Added enhancements to the dataprocessing use cases * Updated Kueue to use the 0.7.0 manifests * Increased the cluster resource limits * Added products and features outline * Added Secret Manager add-on to the cluster * Changed configsync git respository name to allow for easier use of multiple environments * Added a GitLab project module * Standardized git variables to support GitHub or GitLab * Added a100 40GB node pools * Moved cpu node pool from n2 to n4 machines * Add environment_name to the Ray dashboard endpoint * Removed fleet level configmanagement and Google service accounts for each namespace to allow for multiple environments in a single project * Added Config Controller Terraform module * Added NVIDIA DCGM * Added allow KubeRay Operator to the namespace network policy --------- Co-authored-by: Kent Hua <[email protected]> Co-authored-by: Jun Sheng <[email protected]> Co-authored-by: Ishmeet Mehta <[email protected]> Co-authored-by: Kavitha Rajendran <[email protected]> Co-authored-by: kenthua <[email protected]>
* first commit * terraform fmt * Update README.md * prometheus adapter module in main * remove apply.sh * typo * terraform fmt * large cleanup and validation * moved fields and made module variables consistent with example variables * parameterized accelerator selectors * parameterize metrics scrape interval * fmt * fmt * load parameters parameterization and multiple hpa resources * fmt * parameterized model name * update readme and validators * changes to jetstream module deployment readme * terraform fmt * accelerator_memory_used_percentage -> memory_used_percentage * changes to READMEs * tweaks * metrics port optional * sample tfvars no longer includes autoscaling config * example autoscaling config * Update README.md * Update README.md * Update README.md * strengthen hpa config validation * More updates to readmes * tweak to readme * typo * missing kubectl apply * typos
* Enable Ray Autoscaler for the Rag example application * Update the ray application template
* Update finetune.yaml
…#712) * Add HuggingFace support for automated inference checkpoint conversion * Add HuggingFace support for inference checkpoint conversion * fix llama checkpoint names * update containers to v0.2.3 / v0.2.2 * update containers to v0.2.3 / v0.2.2
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