How do I deploy Bifrost AI Gateway on Railway?

You can deploy Bifrost AI Gateway on Railway by clicking the "Deploy Now" button on this page. Railway will automatically set up all the necessary services and configurations for you.

What are the system requirements?

Railway handles all the infrastructure requirements. You only need a web browser to deploy and manage your application.

Is this template free to use?

Yes, this template is free to use within your existing Railway account.

Can I customize this template?

Yes, you can fully customize this template. After deployment, you will have full control of what you've deployed in your Railway project.

How do I get support for this template?

You can get support through our community forum: bifrost-ai-gateway-a6dee186, or click "Get template help" for this template for more assistance.

Deploy and Host Bifrost AI Gateway on Railway

Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.

About Hosting Bifrost AI Gateway

Hosting Bifrost involves running the gateway service as a containerised application and exposing its API and web dashboard. The gateway acts as an intermediary between applications and AI model providers, managing credentials, routing rules, and provider configuration. A persistent application data directory is required so configuration and runtime state survive restarts and deployments. After deployment, administrators access the dashboard to configure model providers, routing logic, and observability settings. An important post-installation step is enabling authentication for the dashboard by setting a username and password in the security settings, ensuring administrative access is protected before the gateway is used in production.

Common Use Cases

Unified API gateway for accessing multiple AI providers through a single endpoint
Centralised management of API keys, routing policies, and model selection
Monitoring, governance, and observability of AI usage across applications

Dependencies for Bifrost AI Gateway Hosting

Container runtime capable of running Docker-compatible images
Persistent storage for application configuration and runtime data

Deployment Dependencies

https://docs.getbifrost.ai
https://docs.getbifrost.ai/quickstart/gateway/setting-up-auth
https://github.com/maximhq/bifrost
https://railway.app

Implementation Details

Important post-install step

After deploying Bifrost, you must configure authentication for the dashboard.

Follow the official guide:
https://docs.getbifrost.ai/quickstart/gateway/setting-up-auth

In the dashboard:

Go to Security Settings

Configure security and access control settings.

Set up authentication credentials to protect your Bifrost dashboard.

This step secures administrative access to the dashboard and prevents unauthorised configuration changes.

Why Deploy Bifrost AI Gateway on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying Bifrost AI Gateway on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.