Explore GPU-acceleration for PyTorch on M1 Macs in this informative 19-minute video. Learn about the importance of GPU hardware for running large deep learning models and discover how to implement the new PyTorch v1.12 integration for M1 machines. Follow along as the video covers topics such as installing ARM Python, using PyTorch with GPU, running BERT on PyTorch GPU, and the best practices for training large language models on Mac. Gain insights into potential buffer size bugs and understand when to utilize Mac M1 GPU for deep learning tasks. The video also includes links to supplementary resources, code notebooks, and a discounted NLP course for further learning.