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HAL Training: Inference Optimization with NVIDIA TensorRT

Event Type
Conference/Workshop
Sponsor
Center for Artificial Intelligence Innovation
Date
Apr 13, 2022   3:00 - 5:00 pm  
Speaker
Nikil Ravi, Undergradrate, Mathematics & Pranshu Chaturvedi, Undergradrate, Computer Science
Views
66
Originating Calendar
Center for Artificial Intelligence Innovation

Join the Center for Artificial Intelligence Innovation at NCSA on Wednesday, April 13, from 3-5pm via Zoom for an online training session to help users get started with deep learning learning projects on HAL. These sessions are designed for novice users to learn about the system and start building deep neural network models. To sign up for training, just request a HAL account prior to the training session and mention "spring training" when describing how the system will be used in your project. 

View Trainings here: https://go.ncsa.illinois.edu/CAIIHALTraining

April 13: Inference Optimization with NVIDIA TensorRT 

In many applications of deep learning models, we would benefit from reduced latency (time taken for inference). This tutorial will introduce NVIDIA TensorRT, an SDK for high-performance deep learning inference. We will go through all the steps necessary to convert a trained deep learning model to an inference-optimized model on HAL.

 

View previous trainings here: https://ai.ncsa.illinois.edu/hal-trainings/ 

Sessions will be recorded and made available on the CAII website after the training. 

link for robots only