Broadcast Date: September 30, 2019
With different versions of frameworks, libraries, and drivers for CPUs and GPUs, developers and data scientists spend a lot of time ensuring deep learning software stacks work well together during upgrades and system changes. In this tech talk, we'll take a look at how container technologies can address these challenges by providing training and inference environments that are lightweight, portable, consistent, and scalable. Through code examples, we'll take a closer look at how to integrate AWS Deep Learning Containers into your development and deployment workflows, as well as how to run large scale deep learning workloads on Amazon EKS.
- Understand how containers can help address challenges in deploying deep learning environments
- Learn about how to use AWS Deep Learning Containers
- Take away code samples to help you get started quickly
Who Should Attend?
Developers, DevOps, Data Engineers, Data Scientists
Service How To
December 19th, 2018 | 1:00 PM PT
Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.