Key Points Introduction to SMU SuperPOD SuperPOD 101 Working with Conda Environment Conda environment Using NGC Container in SuperPOD NGC Container Using Jupyter Lab in SuperPOD Jupter Lab, Port-Forwarding Using Batch script in SuperPOD Batch script, Computer Vision Job queueing and control in SuperPOD Job queue, control Data Science workflow with GPUs using RAPIDS NGC Container, RAPIDS, cudf, cuDask Sample Application of NEMO for Sentiment Analysis NGC Container, NEMO, Sentiment Analysis Sample Applications of MultiGPUs for Computer Vision using Horovod NGC Container, Horovod, Computer Vision Using YOLOv5 for object detection YOLOv5, object detection, inference Using Transfer Learning with ResNet50 ResNet50, object detection, transfer learning Using Stable Diffusion with SuperPOD Stable Diffusion, Prompt, HuggingFace Using Pre-trained model from HuggingFace Hugging Face, pre-trained, pipeline Using OpenAI Whisper OpenAI, whisper, gpu Using LLAMA3 Meta, LLAMA3, SuperPOD How to use Ollama with SuperPOD Meta, Ollama, SuperPOD How to use PaperQA with SuperPOD paperqa, Ollama, SuperPOD Glossary FIXME