Local AI laptops split around VRAM and shared memory capacity

Local AI laptops are turning memory capacity into a core buying criterion. The queued StorageReview payload says discrete Nvidia RTX PRO systems deliver the fastest text-generation performance, but model size is limited by available graphics memory. In the tested field, that VRAM range is described as 8GB to 24GB. The alternative path is shared or unified memory. StorageReview points to AMD Ryzen AI Max+ and Intel Core Ultra shared LPCAMM2 platforms as designs where the GPU can draw from system memory, allowing larger models to run even when raw speed is lower. For RamTrend, this is a client-memory demand signal. Local AI is pushing laptop buyers to evaluate RAM, VRAM, and LPCAMM2 capacity as part of AI performance, not just general multitasking. It does not prove a near-term component shortage, but it shows why high-capacity mobile memory configurations may remain important in premium AI PCs.