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GTC ON-DEMAND

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Abstract:

This session will give an overview on the performance and efficiency of running the Malong RetailAI® software stack on Dell EMC PowerEdge R7425 server for retail analytics. The objective is to show how the stack can deliver high throughput & low latency inferencing performance on Nvidia T4 GPU. We will look into some of the use cases that can be solved by running the algorithms developed by Malong in the area of product recognition. We will talk about Curriculum Net which is based on weakly supervised learning and how these algorithms are being run on Nvidia T4 GPU by taking advantage of TensorRT. The attendee will also get an understanding on how we take advantage of AMD CPU to deliver a higher throughput low latency solution. By taking advantage of multiple PCIe lanes we can provide a true scale-up intelligent video analytics solution with T4 GPU.

This session will give an overview on the performance and efficiency of running the Malong RetailAI® software stack on Dell EMC PowerEdge R7425 server for retail analytics. The objective is to show how the stack can deliver high throughput & low latency inferencing performance on Nvidia T4 GPU. We will look into some of the use cases that can be solved by running the algorithms developed by Malong in the area of product recognition. We will talk about Curriculum Net which is based on weakly supervised learning and how these algorithms are being run on Nvidia T4 GPU by taking advantage of TensorRT. The attendee will also get an understanding on how we take advantage of AMD CPU to deliver a higher throughput low latency solution. By taking advantage of multiple PCIe lanes we can provide a true scale-up intelligent video analytics solution with T4 GPU.

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Topics:
Intelligent Video Analytics
Type:
Talk
Event:
MWC
Year:
2019
Session ID:
mwcla924
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