Vetted Consumer

A new guide from Vetted Consumer identifies six bottlenecks that slow local large language models, ranked by impact, with the top cause being the model not fitting in fast memory, which can drop speed…

NPUs in modern laptops and mini-PCs are low-power chips designed for small, steady AI tasks like background blur and voice detection, but they will not speed up local LLM token generation, which is li…

A new Local LLM Hardware Calculator helps users estimate memory requirements for running large language models on their own hardware, factoring in weights, KV cache, and overhead. The tool also compar…