Scaling LLMs with Golang: How we serve millions of LLM requests
(assembled.com)
While the LLM ecosystem is overwhelmingly Python-first, we've found Go to be exceptionally well-suited for production deployments. Our Go-based infrastructure handles millions of monthly LLM requests with minimal performance tuning. Beyond Go's well-documented advantages (see Rob Pike’s excellent distillation of Go's benefits), three capabilities have proven particularly valuable for LLM workloads: static type checking for handling model outputs, goroutines for managing concurrent API calls, and interfaces for building composable response pipelines.
While the LLM ecosystem is overwhelmingly Python-first, we've found Go to be exceptionally well-suited for production deployments. Our Go-based infrastructure handles millions of monthly LLM requests with minimal performance tuning. Beyond Go's well-documented advantages (see Rob Pike’s excellent distillation of Go's benefits), three capabilities have proven particularly valuable for LLM workloads: static type checking for handling model outputs, goroutines for managing concurrent API calls, and interfaces for building composable response pipelines.