Ep. 637: Plan AI development cycles with Amazon EC2 Capacity Blocks for ML
Episode summary
Deep Dive
Tune in to listen to Jillian Forde and Jake Siddall (AWS Senior Product Manager) dive deep into a new service called Amazon EC2 Capacity Blocks for ML. EC2 Capacity Blocks enable you to reserve GPU instances in Amazon EC2 UltraClusters to run ML workloads.
Hosts
Jillian Forde
Host
Jillian Forde is a Sr. Solutions Architect who works with startups to help them grow their businesses using the AWS cloud. Jillian did not have a tech background prior to joining AWS. As a host of The Official AWS podcast she strives to help people new to the tech industry and cloud computing learn technical concepts essential to a thriving career. Follow her on Twitter.
Jake Siddall
Guest
Jake Siddall is an AWS Senior Product Manager for Elastic Compute Cloud (EC2). Within EC2, Jake works on products that help customers strike the right balance between capacity assurance, elasticity, and performance, including the new EC2 Capacity Blocks product which makes it easy for customers of any size to access precious GPU resources for machine learning workloads. Jake attended the University of Michigan twice: once for his bachelor’s degree in mechanical engineering and again for his MBA.
About The Official AWS Podcast
The Official AWS Podcast is a podcast for developers and IT professionals looking for the latest news and trends in storage, security, infrastructure, serverless, and more. Join Simon Elisha and Jillian Forde for regular updates, deep dives, launches, and interviews. Whether you’re training machine learning models, developing open source projects, or building cloud solutions, The Official AWS Podcast has something for you.
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