The cost and power needed to run AI on your own device.
It is like shoving a party pizza into a toaster oven. The pizza is great, but the oven says no, so you cook slices one by one.
It decides whether a local model runs well. You meet it in home AI setups. You meet it in offline assistants. Companies meet it on private office networks.
Local-LLM
The hardware barrier limits how many people can use Local-LLMs.
GPU
GPU power often decides whether local AI feels smooth.
VRAM
VRAM size often decides whether the model fits on your device.
Quantization
Quantization shrinks the model and lowers the hardware barrier.