Silicon vendors and mobile operating system developers are fundamentally altering chip design and memory architecture to support local execution of small language models. The integration of dedicated Neural Processing Units into flagship mobile processors marks a shift away from cloud-dependent mobile AI processing.
Memory and Power Constraints
Running 3-billion-parameter models directly on device requires unified memory bandwidth exceeding 100 GB/s and optimized dynamic power distribution. Original equipment manufacturers are increasing baseline RAM specifications on flagship devices to 16GB to accommodate reserved OS-level memory allocations for continuous background inference tasks.