WhatAn inference SDK that brings MoE expert-streaming techniques to mobile GPUs (Adreno, Mali, Apple A-series), enabling usable on-device inference of large models on phones and tablets.
SignalUsers running inference on mobile GPUs report painfully slow speeds of 2-3 tokens per second and are explicitly asking for someone to adapt these SSD-streaming and sparse activation techniques to mobile hardware.
Why NowMobile SoCs now have fast UFS 4.0 storage and improving GPU compute, on-device AI is a top priority for phone OEMs, and privacy regulations are pushing inference to the edge.
MarketMobile app developers, phone OEMs, edge AI companies; mobile AI inference market projected at $10B+; Qualcomm AI Engine and Apple CoreML exist but don't optimize for large MoE model streaming.
MoatPer-chipset kernel optimization and OEM partnerships create a fragmented landscape where deep mobile GPU expertise is the moat — first mover with validated mobile MoE inference wins distribution.
Flash-MoE: Running a 397B Parameter Model on a LaptopView discussion ↗ · Article ↗ · 365 pts · March 22, 2026
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