This article explores the specifications and features of various NVIDIA GPUs, focusing on models with 12 GB of memory. It covers key details like architecture, memory type and bandwidth, CUDA cores, Tensor Cores, power requirements, and other essential features. The article also discusses the suitability of these GPUs for different applications, including deep learning, scientific computing, gaming, and rendering. Readers will find valuable insights to help them select the right NVIDIA GPU based on their specific needs and budget.

Also a podcast based on the article created by NotebookLM is available. In addition, I shared my experience of building an AI Deep learning workstation in⁠⁠⁠⁠⁠ ⁠another article⁠⁠⁠⁠⁠⁠. If the experience of a DIY workstation peeks your interest, I am working on ⁠⁠⁠a web app to compare NVIDIA GPUs data aggregated from Amazon ⁠⁠⁠⁠.