What Is VRAM and Why It Matters for AI?

VRAM is memory on a graphics card. For local AI, VRAM matters because model weights, context, and computation often need to fit on the GPU to run quickly.

In practice

More VRAM usually means you can run larger models, higher precision models, longer context, or faster inference. If a model does not fit in VRAM, it may run partly on system RAM and become slower.

What to watch

VRAM is only one part of performance. CPU, system RAM, disk speed, runtime settings, and model architecture also matter.