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

Scott Soutter
Global Product Manager, PowerAI (Deep Learning), IBM

Website

Scott Soutter is a global offering manager with the IBM Cognitive Systems business, with responsibility for solutions in deep learning and artificial intelligence and high-performance computing. Within this role, Scott has helped governmental agencies, scientific and research communities, and commercial customers incorporate novel approaches to applied artificial intelligence to the most complex compute problems globally. Previously, Scott was a global technical sales manager with IBM’s Software Defined Infrastructure business, where he led a team of global solution architects with expertise in cluster computing, high-performance filesystems, and complex industry architectures. During his 20-year career with IBM, Scott has been a global cluster sales executive for high-performance and technical computing, a technical architect for IBM Unix systems sales, and a business development executive who helped build IBM’s largest x86 OEM customer. Scott holds a BA in anthropology and an MBA with a focus on organizational change. Scott resides in Portland, Oregon, with his family. In his spare time he enjoys fly fishing, amateur photography, and recreational swimming.

Sessions

3:30pm4:00pm Tuesday, July 17, 2018
TensorFlow
Location: B115-116
Tags: tensorflow
Average rating: ****.
(4.00, 1 rating)
Data scientists and model developers routinely trade off data size or model complexity in order to fit within limited GPU memory resources. Scott Soutter and Jason Furmanek discuss IBM's updates to TensorFlow, which dramatically increase memory and model size. This technique, which is being upstreamed to the open source community, provides the ability to load the entire model in system memory. Read more.