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 ...

If you’re on the hunt for a new graphics card, you’re likely looking at clock rates, how many shader cores, and how much VRAM it’s packing. But don’t underestimate memory bandwidth when shopping ...

The H200 features 141GB of HBM3e and a 4.8 TB/s memory bandwidth, a substantial step up from Nvidia’s flagship H100 data center GPU. ‘The integration of faster and more extensive memory will ...

In a bid to build better chips for gamers and other PC enthusiasts, Intel has announced the 8th-generation H-series mobile processors will have a feature that’s nothing short of astonishing: they’ll ...

Running large language models on your desktop depends as much on your accuracy needs as your GPU, and the key to performance is fitting the model into video memory. Recently, I have been doing a lot ...

AMD issued a blog post yesterday, right before the launch of the RTX 4070, subtly shredding NVIDIA’s “lackluster” GDDR6 and GDDR6X memory sizes on its RTX 30/40 series graphics cards. AMD says ...