Features

Infrastructure-as-code starter kit

Grid Dynamics has built and published a cloud-native starter kit on AWS Marketplace that accelerates the development and deployment of a modernized Machine Learning Platform. The starter kit enables rapid provisioning of the Machine Learning Platform, provides a CI/CD framework and sample models for reference.

Introduce experiments tracking

A managed Machine Learning Platform on AWS 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 AWS 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 Sagemaker for model development, Mlflow for experiments tracking, S3 as a feature store, EKS or Sagemaker for real-time serving and Amazon EMR (Elastic MapReduce) for batch serving. CI/CD automation is implemented on top of CodeBuild and Lambda, and platform deployment is fully automated on CloudFormation.

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 DataOps best practices

Industries

Benefits of an Analytics Platform in the cloud

How It Works

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