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GTC ON-DEMAND

Data Center & Cloud Infrastructure
Presentation
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Pooling and Orchestrating NVIDIA Jetson for AI and Deep Learning on the Edge
Abstract:
Attendees will learn how NVIDIA''s Jetson TX-series processors can be scaled out to create an adaptive HPC and Supercomputing platform for bespoke deployments and edge computing environments. Advancements in composable infrastructure technology now make it possible to pool and orchestrate Jetson processors for deployments with specialized parallel computing requirements. Use cases include Jetson deployments in non-embedded environments for edge computing where traditional HPC architectures are not hospitable. Clusters of NVIDIA Jetson TX- devices can be deployed in edge compute environments connected to arrays of sensors for neural net training, pattern recognition, and deep learning. Applications for autonomous transportation can also benefit from clustering massive numbers of Jetson TX- devices to simulate fleets of vehicles to train machine learning algorithms in parallel. Jetson use cases can be expanded well beyond embedded applications when deployed with PCIe-based fabric composable infrastructure technology, permitting 16x networking performance improvement over the embedded 1Gb Ethernet interface.
 
Topics:
Data Center & Cloud Infrastructure, Graphics and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8539
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