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GTC ON-DEMAND

Artificial Intelligence and Deep Learning
Presentation
Media
Deep Learning Application Development on Multi-GPU/ Multi-Node Environment
Abstract:
We'll show a brief overview of our deep learning applications such as image recognition and taxi demand forecasts and how we have accelerated our development using NVIDIA Docker, the NVIDIA DGX-1 AI supercomputer, and tens of GPU servers. As deep learning applications become widespread, it becomes more essential for engineers to quickly adapt deep learning to new data and to efficiently seek optimal configurations. To improve the development speed by engineers on the shared GPU resources, we developed a job management system, which provides the separated learning environment for each engineer using NVIDIA Docker and queuing functions on the multi-GPU/multi-node system. This system helps us improve our productivity and create more sophisticated solutions to offer better services.
 
Topics:
Artificial Intelligence and Deep Learning, Accelerated Data Science
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7554
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