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2017 GTC San Jose

S7554 - Deep Learning Application Development on Multi-GPU/ Multi-Node Environment

Session Speakers
Session Description

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.


Additional Session Information
All
Talk
Accelerated Analytics Deep Learning and AI
Internet / Telecommunications
25 minutes
Session Schedule