Coupang's ML Platform Overview

Coupang's Machine Learning (ML) platform enhances the development of ML models across various applications, including search, pricing, and inventory management. The platform is designed to streamline the ML lifecycle, from exploration to production deployment, thereby reducing the time required to bring models to market.

Key Features

• Notebooks & ML Pipeline Authoring: Offers managed Jupyter notebooks and a Python SDK for seamless pipeline creation.
• Feature Engineering: Utilizes a feature store for easy access to prepared features in both online and offline modes.
• Model Training: Supports diverse ML frameworks, optimizing resource use across CPUs and GPUs.
• Model Inference: Deploys models via Seldon on Kubernetes, ensuring scalability and integration with CI/CD.
• Monitoring & Observability: Provides dashboards for resource monitoring, anomaly detection, and error debugging.

The platform aims to foster ML adoption by improving developer productivity and managing compute resources effectively.