How a 30B Model Runs on Your Laptop

Big tech companies spend tens of billions of dollars constructing data centers packed with high-end GPUs to train and serve large language models (LLMs). Yet a well-optimized laptop or ordinary PC can run many of the same models locally with usable interactive performance. The difference is not magic; it is a combination of aggressive but carefully engineered quantization, modern memory architectures, bandwidth-aware software kernels, and model designs that prioritize efficiency for single-user inference rather than massive concurrent serving or training.