Put open source to work
July 16–17, 2018: Training & Tutorials
July 18–19, 2018: Conference
Portland, OR
Tommy Li

Tommy Li
Software Developer, IBM

Tommy Li is a software developer at IBM focusing on cloud, container, and infrastructure technology. He’s worked on various developer journeys that provide use cases on cloud-computing solutions, such as Kubernetes, microservices, and hybrid cloud deployments. He’s passionate about machine learning and big data.

Sessions

11:00am–11:40am Wednesday, July 18, 2018
Deploy and use a multiframework distributed deep learning platform on Kubernetes (sponsored by IBM)
Kubernetes, Sponsored
 Location: E147/148
Animesh Singh (IBM), ATIN SOOD (IBM), Tommy Li (IBM)
Animesh Singh, Atin Sood, and Tommy Li demonstrate how to leverage Fabric for Deep Learning to execute distributed deep learning training for models written using multiple frameworks, using GPUs and object storage constructs. They then explain how to take models from IBM's Model Asset Exchange, train them using FfDL, and deploy them on Kubernetes for serving and inferencing. Read more.