In this conversation with Charles Frye, Developer Advocate at Modal, listeners gain insights into the intricate world of GPUs and their critical role in AI and LLM development. Charles explains the importance of VRAM and how memory can become a bottleneck. They tackle practical strategies for optimizing GPU usage, from fine-tuning to training large models. The discussion also highlights a GPU Glossary that simplifies complex concepts for developers, along with insights on quantization and the economic considerations in using modern hardware for efficient AI workflows.