AINeutralarXiv – CS AI · Apr 146/10
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A-IO: Adaptive Inference Orchestration for Memory-Bound NPUs
A-IO addresses critical memory-bound bottlenecks in LLM deployment on NPU platforms like Ascend 910B by tackling the 'Model Scaling Paradox' and limitations of current speculative decoding techniques. The research reveals that static single-model deployment strategies and kernel synchronization overhead significantly constrain inference performance on heterogeneous accelerators.