Why Won’t My AI Model Fit in Memory?
An AI model needs memory for its weights and working data. Learn how context length, simultaneous requests, and available RAM or VRAM affect whether it can run.
What Is Model Quantization?
Model quantization reduces memory requirements by using lower-precision values. Learn how it affects local AI model size, output quality, performance, and compatibility.
What Is VRAM?
VRAM is the memory used by your GPU. Learn how it affects local AI model capacity, performance, and hardware planning.