Key Points
Introduction to SMU SuperPOD |
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Working with Conda Environment |
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Using NGC Container in SuperPOD |
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Using Jupyter Lab in SuperPOD |
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Using Batch script in SuperPOD |
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Job queueing and control in SuperPOD |
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Data Science workflow with GPUs using RAPIDS |
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Sample Application of NEMO for Sentiment Analysis |
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Sample Applications of MultiGPUs for Computer Vision using Horovod |
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Using YOLOv5 for object detection |
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Using Transfer Learning with ResNet50 |
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Using Stable Diffusion with SuperPOD |
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Using Pre-trained model from HuggingFace |
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Glossary
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