Download
Cog is an open source tool designed to package machine learning models into standardized, production-ready containers. It simplifies the process of deploying models by automatically generating Docker images based on a simple configuration file, eliminating the need to manually write complex Dockerfiles. Developers can define the runtime environment, dependencies, and Python versions required for their models, allowing Cog to build a consistent container environment that follows best practices. Cog also resolves compatibility issues between frameworks and GPU libraries by automatically selecting compatible combinations of CUDA, cuDNN, and machine learning frameworks such as PyTorch or TensorFlow. Cog automatically generates a RESTful HTTP API for running predictions, enabling models to be accessed programmatically through a built-in prediction server.
Features
- Packages machine learning models into reproducible Docker containers
- Generates container images from a simple configuration file
- Automatically resolves compatible CUDA and ML framework versions
- Creates a RESTful HTTP API for model predictions
- Includes a queue worker system for long-running inference jobs
- Supports deployment on any environment that runs Docker
Project Samples
