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News/DynaNDE: Dynamic Near-Data Expert Scheduling for Batched MoE Inference
arxiv
PublishedSeptember 2, 2026 at 4:00 AM
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DynaNDE: Dynamic Near-Data Expert Scheduling for Batched MoE Inference

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arXiv:2609.00407v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) models enable efficient scaling of large language model (LLM) inference but suffer from substantial data-movement overhead when deployed on neural processing unit (NPU)-based systems. Near-Data Processing (NDP) provides a pro

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