PolyQ: Codesigning End-to-End Quantization Framework for Scalable Edge CPU LLM I
CPUs are the most universal target for on-device LLM inference, but existing low-bit quantization methods offer either coarse operating points or fine-grained mixed precision that is difficult to execute efficiently on CPUs. We present Poly
https://arxiv.org/abs/2607.14618v1 ↗Thesis fit
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Within your typical scope; diligence still required.
In your usual scope
Idea match
Light
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llm, ai
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Unknown
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Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
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