Retrain ML Models with Modzy and Label Studio

Overview

Modzy is a single platform for developers and data scientists to build and manage AI-powered solutions using any model, with any data, on any infrastructure – including cloud, on-premise, or the edge.

Modzy maintains an open source project called Chassis, which turns ML models into containerized prediction APIs. Chassis picks up where training leaves off and builds containers for various target architectures. This means that after completing a single Chassis job, you can run your models in the cloud, on-premise, or on a fleet of edge devices (Raspberry Pi, NVIDIA Jetson Nano, Intel NUC, etc.).

Benefits

• Ease of Deployment: Modzy’s MLOps tooling allows for the smooth deployment of ML workflows with low latency and increased security.
• Fully-Managed Infrastructure: Modzy provides an end-to-end solution for the model lifecycle, from training to deployment.
• Flexibility of Tech Stack: With a wide range of integrations across data engineering, infrastructure, and further developer tools and resource.