FairInference system offers strict latency isolation for LLM serving

Researchers have introduced FairInference, a novel system designed to provide strong latency isolation for multi-tenant LLM serving. Unlike previous solutions that focus on long-term throughput fairness, FairInference guarantees that a well-behaved client's token generation time will not exceed its isolated generation time by more than a specified delta ($\delta$). This is achieved by enforcing per-token deadlines and managing delays from shared GPU resources and KV caching, ultimately improving overall throughput while bounding latency spikes. AI

IMPACT Enhances the reliability and predictability of shared LLM inference services, crucial for real-time applications.

RANK_REASON The cluster contains an academic paper detailing a new system for LLM serving. [lever_c_demoted from research: ic=1 ai=1.0]

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• alphaXiv
• arXiv
• DagsHub
• FairInference
• graphics processing unit
• Hugging Face
• KV caching
• LLM

• infra
• paper

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