UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing
arXiv 2606.04101•eb498d74ad2e2ac5c673ad75c8442f24606a4edab4ea4d53a3e941b71d9a0514
AI-infrastructureBFT-consensusGPULLM-inferenceNPU-virtualizationarXivcompressioncomputer-science-researchdistributed-systemsfault-toleranceload-balancingperformance-optimizationsilent-errorsspeculative-decoding
Paper metadata
- arXiv ID
- 2606.04101
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
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Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- eb498d74ad2e2ac5c673ad75c8442f24606a4edab4ea4d53a3e941b71d9a0514
- Enrichment time
- 2026-08-16T13:05:53Z
- AI-assisted enrichment
- Yes
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