Operationalizing Large Scale Machine Learning on Cloud TPUs with Google Kubernetes Engine

Discover how to operationalize large-scale machine learning models using Cloud TPUs with Google Kubernetes Engine (GKE) in this 33-minute conference talk. Explore the challenges of efficiently training and operationalizing large-scale models, and learn how companies leverage Cloud TPUs for training generative models. Gain insights into using Cloud TPUs in GKE to create state-of-the-art infrastructure for the full machine learning lifecycle. Delve into topics such as the importance of large models, orchestrators, TPU integration, Cloud TPU MultiSlice, and recent biases. Watch a demo and hear from speakers Vaibhav Singh, Yoav HaCohen, and Matt Hoffman as they share valuable knowledge on unlocking game-changing capabilities for end users through large-scale machine learning.

Introduction
Agenda
Why large models
Orchestrators
TPU Integration
Demo
Cloud TPU MultiSlice
Cloud TPU in GKE
Lightrix
Recent Biases