Brought to you by NumFOCUS Foundation and O’Reilly Media Inc.
The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY
Tim Gasper

Tim Gasper
Director of Product, data.world

Website | @timgasper

Tim Gasper is Director of Product at data.world, the cloud data catalog company and largest open data community in the world. With over a decade of experience in product management, Tim has spent his entire career helping companies gain value from their data. He previously ran data product management for Janrain (now Akamai Identity Cloud), led product and marketing for Bitfusion, an artificial intelligence (AI) software company, led product for Rackspace’s Hadoop and NoSQL as a Service, and managed global offerings for CSC (now known as DXC) Big Data & Analytics business unit. Prior to that he was VP of Product at Infochimps, an enterprise big data cloud services company, acquired by CSC in 2013. Tim is a Case Western Reserve University alumnus, and writes and speaks on entrepreneurship, big data, data governance, and AI.

Sessions

1:50pm–2:30pm Thursday, August 24, 2017
Deep learning and Elastic GPUs using Jupyter
Kernels
 Location: Murray Hill Level: Intermediate
Tim Gasper (data.world), Subbu Rama (Bitfusion)
Average rating: **...
(2.00, 1 rating)
Combined with GPUs, Jupyter makes for fast development and fast execution, but it is not always easy to switch from a CPU execution context to GPUs and back. Tim Gasper and Subbu Rama share best practices for doing deep learning with Jupyter and explain how to work with CPUs and GPUs more easily by using Elastic GPUs and quick-switching between custom kernels. Read more.