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Quantization-Enabled Demand Response for Data Centers with LLM Inference
The growth of LLM inference workloads is increasing data center energy demands, challenging existing energy management under stricter grid and demand response conditions. A new approach using quantization enables more flexible demand response beyond traditional workload shifting and energy asset sc...
As LLM inference scales, data centers must adapt energy management to meet grid constraints and demand response needs. Quantization-based methods offer a promising way to improve energy flexibility and efficiency in these environments.
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Score 81
Source Type arxiv
Reposts 0
Topic Quality 54
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