Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...

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 ...

New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...

Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...

Modern compute-heavy projects place demands on infrastructure that standard servers cannot satisfy. Artificial intelligence ...

Business owners that need to perform graphics-intensive tasks such as video editing or 3D modeling with their computers often buy high-end PCs with discrete video cards that have built-in, dedicated ...

Gigabyte CEO Eddie Lin says the revenue contributed per gigabyte of GDDR7 on Nvidia graphics cards will be the key measure ...

Last Friday, we published a report that the GTX 970 could suffer crippling performance slowdowns thanks to an asymmetric memory configuration. Here, we examine that issue in more detail -- and whether ...

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 ...