Model latency and performance depend on various factors:

  • Input/output prompt lengths
  • Model quantization
  • Model sharding
  • Disaggregated prefill processes
  • Hardware configuration
  • Multiple layers of caching
  • Fire optimizations
  • LoRA adapters (Low-Rank Adaptation)

Our team specializes in personalizing model performance. We work with you to understand your traffic patterns and create customized deployment templates that maximize performance for your use case.