Hot AI in Cold Space: Thermal-Crosstalk-Aware Scheduling for Sustainable Orbital AI Clusters
arXiv 2606.26150•2b9e52dcb04e48904fa7b99f801120a8738a83475aacf9ac0257eeb09c567dfa
Byzantine-fault-toleranceDAG-consensusDoSFinWhaleGPU-interconnectKV-cacheLLM-trainingMoE-servingQAOA-simulatorRolloutPipeXsimconsensus-protocolsheterogeneous-infrastructuremodel-poisoning-riskmodel-schedulingorbital-data-centersquantum-simulatorreinforcement-learning-pipelinesresource-exhaustionruntime-parallelism-switchserverless-pricing-faaSsimulationtensor-reshardingthermal-crosstalkthermal-management
Paper metadata
- arXiv ID
- 2606.26150
- 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
- 2b9e52dcb04e48904fa7b99f801120a8738a83475aacf9ac0257eeb09c567dfa
- Enrichment time
- 2026-06-26T08:52:22Z
- AI-assisted enrichment
- Yes
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