Distributed Computing

What is Ray, and How to Deploy It in an Enterprise Data Stack?

Last updated on
April 10, 2025
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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

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Why is Ray better on Shakudo?

Why is Ray better on Shakudo?

Core Shakudo Features

Own Your AI

Keep data sovereign, protect IP, and avoid vendor lock-in with infra-agnostic deployments.

Faster Time-to-Value

Pre-built templates and automated DevOps accelerate time-to-value.
integrate

Flexible with Experts

Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.

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Neal Gilmore
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