XWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy Farms

arXiv:2605.23348 · cs.DC, cs.AI, cs.NI · Submitted 2026-05-22 · Read on arXiv

cs.DC, cs.AI, cs.NI

Submitted: 2026-05-22

Updated: 2026-09-27

Code: https://github.com/Azure/AzurePublicDataset

Project page: https://microsoft.github.io/VirtualClient/docs/workloads/dcgmi

Terminology

• Trace — 18× in this paper · explained in 2 episodes
• Decode — 8× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Energy Efficiency — 2× in this paper · explained in 3 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Azure Modular Data Center — 1× in this paper
• Calibration — 1× in this paper · explained in 7 episodes
• Core — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Graceful Degradation — 1× in this paper · explained in 2 episodes
• Hysteresis — 1× in this paper · explained in 3 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Carbon-Aware Computing for Datacenters
• Artificial Intelligence Index Report 2025
• VoltanaLLM: Energy-Efficient and SLO-Aware Disaggregated LLM Serving via Adaptive Frequency Control and State-Space Routing

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