Archive / Openclaw
You can run a simple AI agent on a Raspberry Pi, but for serious, always-on agents, a VPS is the better choice due to superior processing power, reliable uptime, and easier maintenance.
A Raspberry Pi is a fantastic single-board computer for learning, prototyping, and running lightweight tasks. You can install frameworks like LangChain or Ollama and run a basic AI agent. It's a low-cost way to understand the components.
Its hardware imposes strict limits for any non-trivial agent:
Note
For a fun weekend project running a local chatbot, a Raspberry Pi 5 works. For an agent that needs to be reliable and responsive, you'll quickly hit its limits.
A Virtual Private Server (VPS) provides a remote, dedicated slice of a powerful server. For running AI agents that you or others depend on, it's the better platform. The main advantages are resources and reliability.
Hostinger's 2025 benchmark shows their KVM-based VPS plans provide the isolated, performant environment needed for consistent AI agent performance, which is why I use one.
Setting up an AI agent on a VPS is straightforward. Once you have your server, the process is similar to a local setup but with more power.
For a managed solution, you can also deploy agent frameworks on a Hostinger VPS using their application installer or Docker, which handles much of the setup.
Choose based on your agent's purpose and your own tolerance for maintenance.
| Use Case | Best Platform | Reason |
|---|---|---|
| Learning, prototyping, local tinkering | Raspberry Pi | Hands-on, low-cost, good for understanding fundamentals. |
| Personal, low-traffic chatbot or automator | Raspberry Pi (with caveats) | Possible if lightweight; be prepared for slow responses and manual recovery from outages. |
| Reliable, always-on agent for tasks or a small team | VPS | Essential for uptime, performance, and remote access. |
| Agent using larger models or complex workflows | VPS | The RAM and CPU of a VPS are necessary to run efficiently. |
Think of the Raspberry Pi as a testbed. When your agent concept works and you need it to be dependable, migrate it to a VPS. The transition in performance and reliability is significant.
You can run the API client on a Raspberry Pi, but the model itself runs on OpenAI's servers. The Pi would just handle the API calls and agent logic. For running large models locally (like Llama 3), a Pi lacks the necessary RAM and compute power.
Focus on RAM first (at least 4GB, 8GB+ is better for comfort), then CPU cores (2-4 modern cores), and fast NVMe SSD storage. A KVM virtualized plan provides better performance isolation than older OpenVZ setups. You can start small and upgrade most plans as needed.
Initially, yes—a VPS has a monthly fee while a Pi is a one-time hardware cost. However, the VPS cost covers professional infrastructure, uptime, and your home electricity savings. For a few dollars a month, the reliability and time saved on maintenance make a VPS the cost-effective choice for any serious use.
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Ready to get started? Check out Hostinger's plans.