This article offers a detailed guide to NVIDIA GPUs with 48GB of video RAM, designed to meet the demands of generative AI and deep learning applications. The GPUs are presented in a timeline, starting with older models and moving up to the latest releases. Each entry highlights essential specs like the GPU's architecture, memory, CUDA cores, Tensor cores, compute compatibility, power consumption, cooling system, and NVIDIA NVLink support.

The list showcases the evolving power and efficiency of NVIDIA's newer GPUs, demonstrating how each generation handles increasingly complex tasks with greater speed and flexibility. Whether you're an individual or part of an organization, this document is a valuable resource for helping you select the right GPU to power your AI and deep learning projects.

In addition, there is a Spotify podcast version generated by NotebookLM. Also, 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 site to compare GPUs aggregated from Amazon⁠⁠⁠⁠⁠.