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- Add Google Cloud Platform support to Terraform
- 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.
- 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).
cloud-sql-go-connector
Public- The Prometheus monitoring system and time series database. GCP fork to export to Google Cloud Managed Service for Prometheus. Main branch is kept at parity with upstream - see branches or tags for Google's additions.
- 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.
- Google Cloud Managed Service for Prometheus libraries and manifests.
- Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
- Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
- Showcasing Google Cloud's generative AI for marketing scenarios via application frontend, backend, and detailed, step-by-step guidance for setting up and utilizing generative AI tools, including examples of their use in crafting marketing materials like blog posts and social media content, nl2sql analysis, and campaign personalization.
- Delete untagged image refs in Google Container Registry or Artifact Registry
- Identify and tokenize sensitive data automatically using Cloud DLP and Dataflow
- Retail banking sample application showcasing Kubernetes and Google Cloud