This tutorial provides an introduction to deep learning using high performance computing. This workshop will cover accessing deep learning containers, resource allocation and helpful tools, how to choose a GPU, and deep learning slurm scripts.

This tutorial provides a practical introduction to building artificial neural networks using PyTorch, a powerful and flexible deep learning framework. The course covers the fundamentals of PyTorch, including tensors, automatic differentiation, and model building.

This tutorial is an introduction to running large language models on UVA's HPC system.

This tutorial is an introduction to multi-GPU strategies for large language model (LLM) inference using tools like Accelerate, DeepSpeed, and vLLM.