Neuromorphic Computing for On-Device LLM Inference: Why the Three-Layer Integration Gap Matters More Than the Algorithm Layer
Spiking neural networks (SNNs) on neuromorphic hardware are routinely proposed as the path to energy-efficient on-device inference for language models. The framing usually treats this as a single technical question. It is not. There are…
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