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Ray, Knative, and Running Serverless Workloads in the Cloud

Offered By: Anyscale via YouTube

Tags

Machine Learning Courses Cloud Computing Courses Knative Courses Distributed Systems Courses Scalability Courses Serverless Computing Courses

Course Description

Overview

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Explore the world of serverless computing in this 25-minute conference talk that compares and contrasts Ray Serve and Knative Serving, two popular open source frameworks for running serverless workloads. Discover the different approaches each framework takes, with Ray focusing on serving machine learning models and Knative on building automatic HTTP services. Learn about best practices, potential pitfalls, and key pillars for the next generation of serverless applications. Gain insights into possible areas of collaboration between the Ray and Knative communities. Access the slide deck for a visual companion to the presentation. Delve into the world of AI application development with Anyscale, the company behind Ray, and learn how to leverage Ray for scaling and productionizing AI workloads, including Generative AI, LLMs, and computer vision.

Syllabus

Ray, Knative, and Running Serverless Workloads in the Cloud


Taught by

Anyscale

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