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2019 GTC San Jose

S9895 - Fast Neural Network Inference with TensorRT on Autonomous Vehicles

Session Speakers
Session Description

Autonomous driving systems use various neural network models that require extremely accurate and efficient computation on GPUs. This session will outline how Zoox employs two strategies to improve inference performance (i.e., latency) of trained neural network models without loss of accuracy: (1) inference with NVIDIA TensorRT, and (2) inference with lower precision (i.e., Fp16 and Int8). We will share our learned lessons about neural network deployment with TensorRT and our current conversion workflow to tackle limitations.


Additional Information
Autonomous Vehicles
Autonomous Vehicles
Automotive / Transportation
Advanced technical
Talk
50 minutes
Session Schedule