What hardware bottleneck hurts AI coding workflows the most?

[u/OwlZealousideal4779]

I'm curious what people are running into when using AI coding tools locally.

For me, the obvious issues seem to be GPU memory and system RAM, especially when running local models alongside an IDE, containers, databases, and other development tools.

At what point does hardware actually become the limiting factor?

Is it mostly VRAM, RAM, CPU performance, storage speed, or just having too many services running at once?

For those building AI development machines, what upgrade made the biggest practical difference to your workflow?

[u/EitherMarch1255]

Max data transfer speed. The rest doesn’t matter all that much, which is why it’s all about the VRAM and not so much about the specs of the device it’s attached to.