This lesson is being piloted (Beta version)
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Setup
Episodes
Introduction to SMU SuperPOD
Working with Conda Environment
Using NGC Container in SuperPOD
Using Jupyter Lab in SuperPOD
Using Batch script in SuperPOD
Job queueing and control in SuperPOD
Data Science workflow with GPUs using RAPIDS
Sample Application of NEMO for Sentiment Analysis
Sample Applications of MultiGPUs for Computer Vision using Horovod
Using YOLOv5 for object detection
Using Transfer Learning with ResNet50
Using Stable Diffusion with SuperPOD
Using Pre-trained model from HuggingFace
All in one page (Beta)
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SMU SuperPOD 101
: Discussion
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