The RTX 3090 has aged beautifully for local AI, thanks to its solid performance and VRAM ...

Understanding GPU memory requirements is essential for AI workloads, as VRAM capacity--not processing power--determines which models you can run, with total memory needs typically exceeding model size ...

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Getting LLMs to run at home.

An unreleased RTX 3080 Ti 20GB prototype has been tested, revealing cut-down RTX 3090 hardware, lower performance, and ...

GPU memory allocation is a hot-button topic right now, with both AMD and Nvidia being accused of not providing gamers enough of this precious resource. Though AMD is usually more generous along these ...

A new report citing sources at Intel is saying that the company has canceled the Intel Arc B770 in favor of the workstation, AI-focused Arc Pro B70.

To truly grasp why your powerful new GPU is suddenly choking on VRAM, we must look at the convergence of five powerful technological and economic forces that have created this crisis simultaneously.

The best graphics cards are much more complex processors than their predecessors as they perform a wide variety of tasks that were previously limited in scope or done by the CPU. They do this because ...

If you want to know the difference between shared GPU memory and dedicated GPU memory, read this post. GPUs have become an integral part of modern-day computers. While initially designed to accelerate ...