Optimize for minimal response time and understand the performance characteristics of your inference stack
Start here to understand the fundamentals of the RECON framework and how it enables low-latency inference.
Explore each layer of the RECON framework to understand how to optimize every component for minimal latency.
Load balancing strategies for inference workloads
vLLM, TensorRT-LLM, and inference runtime optimizations
KV cache, prefix caching, and memory optimization strategies
Service deployment, autoscaling, and infrastructure management
GPU architectures, memory hierarchies, and capacity planning
Deploy production-ready infrastructure with these reference architectures and templates.
AWS Labs reference architecture for deploying inference workloads on EKS
CDK template for optimized single-region inference
Interactive tools to simulate, calculate, and visualize inference performance.