This article explores a range of powerful NVIDIA GPUs equipped with 24 GB of video memory, ideal for deep learning, AI, and high-performance computing. Each GPU is broken down by architecture—whether it’s Maxwell, Pascal, Turing, Ampere, or Ada Lovelace—along with key details such as memory type, bandwidth, CUDA cores, Tensor Cores, power consumption, and system connectivity. The article not only highlights the strengths of each model but also points out any limitations, offering a comprehensive guide to help you choose the best GPU for your specific needs and applications.

There is an accompanying podcast generated by NotebookLM on Shopify.