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- 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.
- Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
- Add Google Cloud Platform support to Terraform
- Marketing Analytics Jumpstart consists of an easy, extensible and automated implementation of an end-to-end solution that enables Marketing Technology teams to store, transform, enrich with 1PD and analyze marketing data, and programmatically send predictive events to Google Analytics 4 to support conversion optimization and remarketing campaigns.
- FaaS (Function as a service) framework for writing portable Java functions
- A Kubernetes Operator to automatically configure secure connections to Cloud SQL
- 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.
- Deploy an enterprise developer platform on Google Cloud
- The Cloud Storage Connector for PyTorch is an effort to improve ML-training efficiency when using data stored in GCS for training datasets. Using the Connector for PyTorch for training is up to 3X faster when the dataset consists of many small files (e.g., 100 - 500 KB).
- A collection of Java libraries for connecting securely to Cloud SQL
- Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI