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- Google Secret Manager provider for the Secret Store CSI Driver.
- Builders and buildpacks designed to run on Google Cloud's container platforms
- PostgreSQL wire-protocol proxy for Cloud Spanner
- Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
- This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
- Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
- Deploy Privileged Access Manager
- The Dataflux Accelerated Dataloader for PyTorch with GCS is an effort to improve ML-training efficiency when using data stored in GCS for training datasets. Using the Dataflux Accelerated Dataloader for training is up to 3X faster when the dataset consists of many small files (e.g., 100 - 500 KB).
- Add Google Cloud Platform support to Terraform
- Microservice template for Cloud Run
- Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
- PerfKit Benchmarker (PKB) contains a set of benchmarks to measure and compare cloud offerings. The benchmarks use default settings to reflect what most users will see. PerfKit Benchmarker is licensed under the Apache 2 license terms. Please make sure to read, understand and agree to the terms of the LICENSE and CONTRIBUTING files before proceeding.