3 projects
PARK Stack
The PARK Stack is a machine learning infrastructure stack consisting of PyTorch (deep learning framework), AI Frontier Models (state-of-the-art LLMs and ML models), Ray (distributed computing framework), and Kubernetes (container orchestration). It provides a complete ecosystem for developing, training, and deploying scalable AI applications in production environments.
165,386 contributors
$6B
Most contributors
Kubernetes
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications.
Contributors
116,640
Organizations
22,001
Software value
$5.8B
PyTorch
PyTorch is an open source machine learning framework that accelerates the path from research prototyping to production deployment.
Contributors
39,781
Organizations
5,648
Software value
$127M
Ray
Ray is an open-source unified framework for scaling AI and Python applications. It provides a simple, universal API for building distributed applications and includes libraries for machine learning, serving, streaming, and more. Ray enables developers to parallelize single-machine code with minimal code changes and scale applications from a laptop to a cluster.
Contributors
8,965
Organizations
1,525
Software value
$52M