Features

Infrastructure-as-code starter kit

Grid Dynamics has developed and released a cloud-native starter kit for Google Cloud that accelerates the provision of a Machine Learning Platform with end-to-end capabilities, including feature catalog, model repository and CI/CD.

Introduce experiments tracking

A managed Machine Learning Platform on Google Cloud means you have a unified portal to manage experiments with the ability to track model-specific parameters, compare model versions and visualize model key attributes.

Production-ready Machine Learning Platform

Our Machine Learning Platform Starter Kit for Google Cloud provides a full spectrum of ML capabilities: feature store and model repository, experiments tracking, serving layer for batch and real-time inference, model CI/CD.  

The platform starter kit leverages Vertex AI for model development and testing, and provides the environment for runtime.

Use Cases

  • Build an ML Platform from scratch
  • Upgrade an existing ML Platform
  • Introduce new technical features
  • Migrate to the cloud
  • Reduce time-to-market
  • Adopt MLOps best practices

Industries

Benefits of an Analytics Platform in the cloud

How It Works

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