Quickstart
Go from sign-up to your first API call in a few minutes.
Fine-tune with the AI assistant
Attach a spreadsheet or text, say what you need, and confirm.
Fine-tune a model
Train on your own examples and see how much better it got.
Core concepts
Deployments, fine-tuning, the wallet, aliases, and the MCP server.
Connect a model
Point Claude Code, Cursor, or any OpenAI-compatible client at your model.
MCP server
Let an AI agent run Valkyrie for you.
What you can do
- Fine-tune a model on your own examples so it answers the way you need, and see how much better it got against the original.
- Let the AI assistant turn a spreadsheet or text into training data and set up the fine-tune for you.
- Run an open model without setting up a single GPU.
- Serve any model behind a stable API and a friendly URL.
- Drive the whole thing from an AI agent through the MCP server.
- Pay only for what you use, from a prepaid balance. No seats, no idle GPU bills.
Who Valkyrie is for
Run a model for your own use
You want to use a capable open model and would rather not rent GPUs, install
serving software, or babysit infrastructure. Deploy one and start calling it.
Get better accuracy with fine-tuning
A general model gets you part of the way. Fine-tune it on your own examples and it
gets noticeably better at your specific task.
Keep your models private
For companies that want their own models running on dedicated instances, with data
and access under their control rather than sent to a third-party API.
New here? Start with the Quickstart, then read
Core concepts to see how the pieces fit together.