Optimizing LLM Cloud Services

Optimizing LLM Cloud Services

A predictive framework for efficient LMaaS management

PreServe is a novel hierarchical prediction-based management system for Language-Model-as-a-Service (LMaaS) platforms that reduces serving latency while optimizing resource utilization.

  • Combines hierarchical load prediction with intelligent resource allocation
  • Achieves 25.5% latency reduction compared to conventional techniques
  • Enables dynamic scaling based on predicted query patterns
  • Maintains service level objectives (SLOs) while minimizing infrastructure costs

This engineering advancement addresses the growing challenge of efficiently managing cloud infrastructure for LLM services, enabling businesses to deliver responsive AI capabilities at scale while controlling operational costs.

Hierarchical Prediction-based Management for LMaaS Systems

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