Graphics processing units ​(GPUs) play a⁤ vital role ​in deep ⁢learning and ​artificial intelligence. Their highly ‍parallel architecture enables​ them to efficiently carry out the extensive⁣ mathematical computations needed for training ⁣and inference in deep neural​ networks. When it comes to local generative AI tools like Stable Diffusion, ⁤selecting ‌the appropriate GPU ‍can significantly impact the performance of your⁢ AI applications. This guide will delve into the essential ‍factors to consider‍ when choosing a ⁤GPU for AI and deep learning and examine some of the leading options ⁣available today.