FastAPI-Ready VPS Hosting for Python Applications

FastAPI on VPS — The Ideal Setup for Development and Production

FastAPI is a modern, high-performance web framework for building asynchronous REST APIs with Python. It's perfect for microservices, ML/AI backends, and frontend integrations. With built-in support for type hints, Pydantic, and OpenAPI, FastAPI runs on high-speed ASGI servers like Uvicorn, Hypercorn, or Gunicorn — all of which demand a reliable and flexible VPS environment.

With bit.hosting, you get full root access, support for Python 3.10–3.12, deployment with Uvicorn, Gunicorn, or Docker, PostgreSQL and Redis setup, CI/CD workflows, and performance monitoring.

Why Use VPS for FastAPI?

Our VPS solutions give you everything you need to host modern Python APIs:

• Support for any Python version and virtual environments (venv, poetry, pipenv);
• Custom reverse proxy configuration (NGINX, Traefik);
• Deployment via Gunicorn/Uvicorn using systemd or Docker;
• Database support: PostgreSQL, MongoDB, Redis, RabbitMQ, and more;
• CI/CD automation with GitHub Actions, GitLab CI, and webhook-based deploys;
• WebSocket support, background tasks, OAuth2 and JWT authentication.

Who Should Use FastAPI VPS Hosting?

Our VPS is ideal for:

• Python developers building backend APIs and web apps;
• ML and Data Science teams deploying predictive models and REST endpoints;
• SaaS platforms with microservice-based architecture;
• DevOps teams using CI/CD pipelines for FastAPI services with Docker;
• Freelancers and integrators delivering custom APIs for mobile or SPA frontends;
• Startups needing secure, scalable, and lightning-fast Python hosting.

Infrastructure & Global Availability

Our servers are located across Germany, France, the Netherlands, Canada, the UK, and the USA. All VPS plans feature:

• KVM virtualization with NVMe SSDs and up to 10 Gbps network speed;
• DDoS protection, backups, real-time monitoring, and firewall management;
• SSH root access, full control, and 24/7 support included;
• Optimized for production workloads with Docker/Kubernetes deployment options.