Route inference requests to the best available model with sub-second latency
Route inference requests to the best available model with sub-second latency. LLM inference load balancer with Ollama model pool, Redis request queue, and Prometheus-driven autoscaling. Built on ubuntu-24.04 with 10 pre-configured features including ssh, headless, docker.
Deploying local LLM inference at scale with intelligent request routing, model health monitoring, automatic failover between models, and real-time throughput dashboards
Production inference gateway that receives API requests, routes them to the optimal local LLM based on real-time latency and load metrics, and auto-scales model loading to match demand patterns