Tabby with Replicas and a Reverse Proxy | Tabby AI coding assistant

Tabby operates as a single process, typically utilizing resources from a single GPU.This setup is usually sufficient for a team of ~50 engineers. However, if you wish to scale this for a larger team, you'll need to harness compute resources from multiple GPUs. One approach to achieve this is by creating additional replicas of the Tabby service and employing a reverse proxy to distribute traffic among these replicas.This guide assumes that you have a Linux machine with Docker, CUDA drivers, and the nvidia-container-toolkit already installed.Let's dive in!Creating the Caddyfile​Before configuring our services, we need to create a Caddyfile that will define how Caddy should handle incoming requests and reverse proxy them to Tabby:http://*:8080 {

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