VRAM Is the New RAM — A Practical Guide to...

Your GPU has 8 GB of VRAM. The model you want to run needs 14 GB. What now? This is the most common wall people hit when running LLMs locally. Cloud APIs don't care about your hardware — local inference does. Understanding VRAM is the difference between smooth 40 tok/s responses and your system grinding to a halt. I've spent months optimizing local AI setups and building tools around Ollama. Here's everything I've learned about making large models fit on consumer hardware. Why VRAM Matters More