⏰ 17:30: Doors open

⏰ 17:55: Doors close

⏰ 18:00: Welcome - Graham Polley, Thomas Hug, Filippo Broggini, and Marcin Orlinski (organisers)

⏰ 18:05: Talk 1: Enhancing Backend Workflows with Google Cloud Run Functions 101, Rachel Werner

⏰ 18:35: Talk 2: Introduction to Distributed ML workloads with Ray on Kubernetes, Abdel Sghiouar

⏰ 19:05: Apéro - sponsored by Google Cloud, DoiT & Zencore

***

Speaker form: https://docs.google.com/forms/d/e/1FAIpQLSeUUqeMrb6KD1zanhJ8ve5ZB-v7Z-VRHkxWVjA0NUwLyWavLg/viewform

****************

Title: Enhancing Backend Workflows with Google Cloud Run Functions 101

Speaker: Rachel Werner, Back End Developer

Description: Explore how Google Cloud Run Functions can streamline backend workflows and automate tasks without the need for server management. This session will cover various triggers, such as HTTP requests and cloud events, and demonstrate how to deploy a serverless function now within Cloud Run. Learn how to integrate Cloud Run Functions into your new or existing infrastructure to enhance efficiency and scalability in your backend processes.

***

Title: Introduction to Distributed ML workloads with Ray on Kubernetes

Speaker: Abdel Sghiouar, Google

Description: The rapidly evolving landscape of Machine Learning and Large Language Models demands efficient scalable ways to run distributed workloads to train, fine-tune and serve models. Ray is an Open Source framework that simplifies distributed machine learning, and Kubernetes streamlines deployment.

In this introductory talk, we'll uncover how to combine Ray and Kubernetes for your ML projects.

***

Hosted By

Graham Polley, Organizer

Thomas Hug, Organizer

Filippo Broggini, Organizer

Marcin Orlinski, Organizer