How to Simplify Cloud-Native Model Training and Validation with CodeFlare - A Hands-On Demo

Explore a hands-on demonstration of the CodeFlare-SDK, an open-source project designed to streamline cloud-native data pre-processing, model training, and validation. Learn how to leverage an intuitive Python interface to Ray, PyTorch/TorchX, and Kubernetes for efficient cloud resource management, job submission, and status monitoring. Follow along as Mustafa Eyceoz and Atin Sood guide you through the CodeFlare-SDK workflow, from resource allocation to ML job submission and monitoring. Discover how to train large-scale models, including foundation models, in the cloud with ease using CodeFlare-SDK. Gain insights into simplifying DevOps and cloud infrastructure complexities, making cloud-native model training more accessible and manageable for developers.

How to simplify execution of cloud-native model training & validation with CodeFlare: A HandsOn Demo