---
title: "Deploy Bifrost"
description: "Fastest enterprise AI gateway (50x faster than LiteLLM)."
category: "AI/ML"
url: https://railway.com/deploy/bifrost-1
---

# Deploy Bifrost

Fastest enterprise AI gateway (50x faster than LiteLLM).

**[Deploy Bifrost on Railway](https://railway.com/template/bifrost-1)**

- **Creator:** Tom
- **Category:** AI/ML
- **Total deploys:** 24

## Template content

### Bifrost https://framerusercontent.com/images/k49dViw06yckDjJt5uERdfTSjU.png

- **Image:** maximhq/bifrost@sha256:bf2208978308477a9f667dfc04cef3153197aeaca8618befefbecde3ed3378b7
- **Health check:** /health
- **Public domain:** Yes

## Documentation

# Deploy and Host Bifrost on Railway

## What is Bifrost?

Bifrost is an ultra-fast AI gateway that unifies 15+ LLM providers (OpenAI, Anthropic, AWS Bedrock, etc.) behind a single OpenAI-compatible API. Written in Go, it delivers 50x faster performance than alternatives with <100 µs overhead, featuring automatic failover, adaptive load balancing, semantic caching, and enterprise guardrails for production-scale AI applications.

## About Hosting Bifrost

Bifrost deploys as a containerized gateway that proxies requests to multiple AI providers while adding enterprise features like budget management and SSO. Deployment requires configuring provider API keys through the web UI or environment variables, setting up persistent storage for caching and logs, and optionally enabling clustering for high availability. The gateway supports 1000+ models with zero-configuration startup, offers built-in observability with Prometheus metrics, and includes guardrails for governance. Enterprise deployments can leverage HashiCorp Vault for secure key management and custom plugins for extensibility.

## Common Use Cases

- **Multi-provider AI gateway** with automatic failover and intelligent load balancing across OpenAI, Anthropic, and AWS Bedrock
- **Enterprise cost governance** with hierarchical budget controls, virtual keys, and usage tracking across teams and customers  
- **High-throughput AI infrastructure** handling 5,000+ RPS with semantic caching to reduce latency and API costs

## Dependencies for Bifrost Hosting

- Docker or compatible container runtime (NPX also available for quick starts)
- Persistent storage volume for configuration data, request logs, and semantic cache persistence

### Deployment Dependencies

- [Bifrost Documentation](https://docs.getbifrost.ai)
- [Docker Hub Image](https://hub.docker.com/r/maximhq/bifrost)
- [GitHub Repository](https://github.com/maximhq/bifrost)

### Implementation Details

```yaml
# docker-compose.yml for Railway deployment
services:
  bifrost:
    image: maximhq/bifrost@sha256:bf2208978308477a9f667dfc04cef3153197aeaca8618befefbecde3ed3378b7
    ports:
      - "8080:8080"
    volumes:
      - bifrost-data:/app/data
    environment:
      - BIFROST_LOG_LEVEL=info
      - BIFROST_ENABLE_UI=true

volumes:
  bifrost-data:
```

Quick start with Docker:
```bash
docker run -p 8080:8080 -v $(pwd)/data:/app/data maximhq/bifrost
```

## Why Deploy Bifrost 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 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.

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