Developing Ray Applications on Google Cloud TPUs

Explore the development of applications using Ray on Google Cloud TPUs in this 15-minute discussion. Gain insights into creating performant, large-scale machine learning applications and enhancing ML productivity by leveraging Ray on Cloud TPUs. Learn about Tensor Processing Units (TPUs), Google's specialized chips for machine learning workloads available through Google Cloud Platform (GCP). Discover how to integrate Ray, the popular open-source framework for scaling AI workloads, with Cloud TPUs to optimize your machine learning projects. Access the accompanying slide deck for visual references and additional information. Understand the potential of combining Ray's distributed computing capabilities with the power of Google's TPUs to tackle ambitious AI workloads, including Generative AI, LLMs, and computer vision applications.

Developing Ray Applications on Google Cloud TPUs