arxiv
PublishedOctober 1, 2026 at 4:00 AM
—neutral
MoEless: Efficient MoE LLM Serving with Serverless Experts
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arXiv:2603.06350v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) increasingly adopt Mixture-of-Experts (MoE) architectures to scale efficiently under stringent resource constraints. However, MoE's sparse activation causes severe expert load imbalance, where a few experts become
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Originally published on arxiv ↗