Name: Exploring the Ray Framework for accelerating AI/ML Applications
Start: 2024-12-05T18:00:00+08:00
End: 2024-12-05T21:00:00+08:00
Location: Red Hat Singapore, 88 Market Street, Level 45 CapitaSpring, Singapore 048948

Are you a machine learning engineer or an enthusiast looking to scale your model training and serving processes on Kubernetes? Are you an engineer or enthusiast working with distributed systems and high-performance computing? Join us for an insightful Meetup to explore how the **Ray framework** and **KubeRay** revolutionise distributed computing for model training and serving on Kubernetes clusters.

**Ray** is an open-source library that seamlessly allows developers to scale their Python code—from single machines to large clusters. **KubeRay** extends Ray’s capabilities by integrating it with Kubernetes, enabling you to run distributed Ray applications efficiently on Kubernetes infrastructure.

**Agenda**

6 pm to 7 pm – Networking with Drinks and Food.

7 pm to 8 pm – Introduction to Ray and its key components (Data/Train/Serve) - by Carlos Queiroz, PhD [\[1\]]()

8 pm to 9 pm – Deploying and managing Ray application on Kubernetes with KubeRay - by Chris Butler - Senior Principal Chief Architect at Red Hat [\[2\]]()

***

[\[1\]]() [https://www.linkedin.com/in/caxqueiroz/](https://www.linkedin.com/in/caxqueiroz/)
[\[2\]]() [https://www.linkedin.com/in/christopherjbutler](https://www.linkedin.com/in/christopherjbutler)

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Carlos Queiroz

Singapore Data & AI Engineering Meetup

Technology

Cloud Computing

Big Data

Functional Programming

High Scalability Computing

Machine Learning

Data Analytics

Artificial Intelligence

Exploring the Ray Framework for accelerating AI/ML Applications

AI/ML

High Performance Computing

Python

Kubernetes

Red Hat Singapore, 88 Market Street, Level 45 CapitaSpring, Singapore 048948

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Singapore Data & AI Engineering Meetup

Exploring the Ray Framework for accelerating AI/ML Applications

Singapore Data & AI Engineering Meetup

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