What Makes Nvidia’s AI Accelerators Different From Regular GPUs? – BGR

A regular GPU is a visual problem solver at its core. It was built to draw frames quickly, handle textures and lighting, and make games look smooth. The same parallel math that makes those visuals possible also happens to be great for crunching huge numbers all at once. That is why people started using high-end graphics cards and general data center GPUs for heavy compute tasks. For a long time, that was enough firepower to push new ideas forward.

The catch is that a consumer or general compute GPU still carries a lot of hardware logic meant only for graphics. Its memory layout is tuned for feeding pixels to a screen rather than shuttling massive blocks of numbers around nonstop. You can definitely run advanced workloads on a…