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Dev ToolsFreeOpen Source
NGINX
High-performance web server and reverse proxy
BSD-2-Clause
ABOUT
ML model serving endpoints need a production-grade HTTP layer that handles TLS termination, request routing, load balancing across model replicas, rate limiting to prevent abuse, and access logging — all without adding latency. NGINX provides an event-driven, non-blocking architecture that can handle tens of thousands of concurrent inference requests on a single machine, route requests to different model versions by URL path, and cache responses for stateless models. ML teams commonly deploy NGINX in front of Triton Inference Server, TorchServe, or custom FastAPI/Flask serving endpoints.
INSTALL
brew install nginxINTEGRATION GUIDE
1. Load balance inference requests across multiple model server replicas for high availability
2. Route requests to different model versions or serving backends by URL path
3. Terminate TLS and add rate limiting to protect model serving endpoints from abuse
4. Cache inference responses for stateless models to reduce serving latency
TAGS
web-serverreverse-proxyload-balancingapi-gatewaymodel-servinginfrastructure