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GTC ON-DEMAND

Artificial Intelligence and Deep Learning
Presentation
Media
Training and Inferencing DL Models with NVIDIA GPU and MapR Kubernetes Volume Plugin
Abstract:

The audience will learn examples and common practices for using Kubernetes to leverage NVIDIA GPU computing power when building DL models. We use a converged data platform to serve as data infrastructure, providing distributed file system and key-value storage and streams. Kubernetes is an orchestration layer that manages containers to scale out the training and deployment of DL models using heterogeneous GPU clusters. We also leverage the ability to publish and subscribe to streams on the platform to build next-gen applications with DL models, and monitor the model performance and shift of feature distributions.

 
Topics:
Artificial Intelligence and Deep Learning, Data Center & Cloud Infrastructure
Type:
Talk
Event:
GTC Washington D.C.
Year:
2018
Session ID:
DC8138
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