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2017 GTC San Jose

S7849 - Deep Learning Lifecycle: A Better Approach to GPU Scaling (Presented by Dell)

Session Speakers
Session Description

Explore new techniques in developing an end to end application life cycle for deep learning in the Enterprise space. We'll cover numerous use cases, and summarize studies done by Dell EMC and Bitfusion on high performance heterogeneous elastic rack of Dell C4130 with NVIDIA P100 GPU. Some of the use cases that will be talked about in detail will, ability to bring on-demand GPU acceleration beyond the rack across the enterprise with easy attachable elastic GPUs for deep learning development, as well as the creation of a cost effective software defined high performance elastic multi-GPU system combining multiple Dell C4130 servers at runtime for deep learning training.


Additional Session Information
All
Talk
Deep Learning and AI Performance Optimization
Hardware / Semiconductor
50 minutes
Session Schedule