Cirrus
A serverless machine learning framework that scales algorithms across cloud lambda functions.
What is Cirrus?
Cirrus is a serverless machine learning framework that provides scalable ML algorithms designed to run across cloud-based serverless functions like AWS Lambda. It solves the problem of executing machine learning workflows without managing dedicated servers, enabling elastic and cost-efficient ML processing. The framework is built on research from UC Berkeley, focusing on optimizing serverless ML workflows.
Machine learning engineers and data scientists who need to deploy scalable ML algorithms in serverless cloud environments, particularly those using AWS Lambda or similar platforms.
Developers choose Cirrus for its research-backed approach to serverless ML, offering pre-optimized algorithms that automatically scale across lambda functions without infrastructure management. Its unique selling point is bridging academic research on serverless ML workflows with practical, scalable implementations.
Overview
Serverless ML Framework
Use Cases
Best For
- Running machine learning algorithms on AWS Lambda at scale
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