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WebAssembly-Based FaaS Framework with Distributed Machine Learning Capabilities

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

WebAssembly Courses Artificial Intelligence Courses Machine Learning Courses Go Courses Cloud Computing Courses Rust Courses Distributed Computing Courses Serverless Architectures Courses

Course Description

Overview

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Explore a cutting-edge FaaS platform that leverages WebAssembly for secure and lightweight Machine Learning tasks, particularly inference jobs. Discover how the integration of WebAssembly with Ray, a popular framework for scaling AI and Python applications, creates a powerful FaaS platform with distributed Machine Learning capabilities. Learn about Ray's advanced features, including distributed scheduling, object storage, and inter-task communication, and how they contribute to an ML-enabled FaaS platform that unifies resource abstraction and eliminates barriers between different FaaS functions. Understand the benefits of integrating WebAssembly with Ray, such as making tasks more lightweight and expanding support for programming languages like Rust, Go, and JavaScript, simplifying the process of porting existing applications.

Syllabus

WebAssembly-Based FaaS Framework with Distributed Machine Learning... - Wilson Wang & Michael Yuan


Taught by

CNCF [Cloud Native Computing Foundation]

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