Distributed Computing

Easiest Way to Deploy Ray on Your Data Stack

No items found.

What is Ray?

Ray is an open-source distributed computing framework designed to make it easy to build distributed applications and run them at scale. It's written in C++ for maximum performance but has a native Python interface that makes it easy to use and integrate with existing Python code. Ray is particularly well-suited for handling complex data processing patterns and both streaming and batch workloads, making it a versatile choice for a wide range of use cases.

Use cases for Ray

Detect Hidden Red Flags in Company Data

Personalize Learning Pathways with Adaptive AI Algorithms

Improve Air Traffic Control with Advanced Pattern Recognition

See all use cases >

Why is Ray better on Shakudo?

Why is Ray better on Shakudo?

Core Shakudo Features

Secure infrastructure

Deploy Shakudo easily on your VPC, on-premise, or on our managed infrastructure, and use the best data and AI tools the next day.
integrate

Integrate with everything

Empower your team with seamless integration to the most popular data & AI framework and tools they want to use.

Streamlined Workflow

Automate your DevOps completely with Shakudo, so that you can focus on building and launching solutions.

Get a personalized demo

Ready to see Shakudo in action?

Neal Gilmore