Workshop: Running OpenClaw on Nebius
OpenClaw is powerful, but getting it into a usable, always on flow state takes more than just spinning it up.
In this workshop, we’ll walk through how to run OpenClaw on Nebius, connect it to Token Factory for fast inference, and extend it with your own models when you need more control. We’ll focus on the decisions you’ll actually face: OpenClaw or NemoClaw, choosing an open source model, local vs cloud hosting, using an inference provider vs using a dedicated GPU, how to connect and chat with your agent, and what changes when you move from a prototype to something you can rely on.
What you’ll learn
How to build and run OpenClaw on Nebius
How to connect OpenClaw to Token Factory (OpenAI-compatible inference)
How to bring in custom models for specific use cases
When to use Token Factory vs Serverless vs AI Cloud
How to deploy and run your own model workloads
Practical patterns for moving from prototype to production
Who this is for
Engineers and teams working with AI models who want a clearer, faster path from experimentation to real workloads without overcomplicating infrastructure
