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Mobiinfer-Android

MobiInfer runs 35B-A3B-class MoE models fully on-device on the Qualcomm Hexagon NPU, streaming experts from flash with lookahead scheduling (LES) and DSpark speculation.

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GITHUB · launched Oct 15, 2026 · 29 upvotes (top 51%)

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Could you build this?

No This is cutting-edge systems and compiler research implementing speculative decoding and flash memory streaming for MoE models directly on Qualcomm Hexagon NPU hardware.

What it would actually take: Building this requires embedded systems and hardware-accelerated ML compiler expertise targeting Qualcomm's proprietary QNN/Hexagon SDK. It implements novel low-level systems algorithms: Lookahead Scheduling (LES) to prefetch MoE weights from flash storage to limited NPU SRAM, combined with DSpark speculative decoding algorithms written in C++/assembly. Substantial low-level knowledge of memory bandwidth hierarchies, DMA transfers, and quantization kernels is indispensable.

Competitors

Other products that read as similar to this one : 70 launches clear the similarity bar, closest 8 shown.

Attention rank: #32 of 71 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 308 days after the earliest competitor.

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