The dashboard is at valkyrieapp.azumo.com and the
API base is
https://valkyrie-back.azumo.com. If your organization runs a separate
environment, use its hosts instead.1. Create an account and fund your wallet
- Sign in at valkyrieapp.azumo.com.
- You land on Home. Open Wallet and check (or top up) your balance. Your balance is also shown in the Balance chip in the top bar. Valkyrie is prepaid and billed per use, your balance is what your deployments and jobs draw against. See Wallet & billing.
2. Create an API key
Machine access uses an API key sent in theX-API-Key header.
- Open API keys from the sidebar, then the Deployment Keys tab.
- Click Create API key and copy it, you won’t be able to see it again. Choose Account-wide if you haven’t deployed anything yet; to scope a key to one endpoint, create it once that endpoint is starting or running.
3. Deploy a model
You can deploy any Hugging Face model directly, or deploy a model you’ve fine-tuned on Valkyrie.- Open Endpoints and click Deploy a base model. To deploy a fine-tuned model instead, open it on Models, select a completed version, and click Deploy.
- Choose a preset (for example, a Qwen chat model) or enter any Hugging Face model path.
- Launch the deployment. Valkyrie provisions a GPU on demand, starts the serving engine, and health-checks it before marking it Running.
4. Call your model
Valkyrie speaks the OpenAI Chat Completions API. Point any OpenAI client at your deployment’s base URL and use your API key.Next steps
Fine-tune a model
Train an open model on your own dataset.
Fine-tune with the AI assistant
Attach a spreadsheet, say what to predict, and confirm.
Connect to Claude Code
Use your Valkyrie model from your coding agent.
Automate with MCP
Provision and operate models from an AI agent.
Understand billing
How the prepaid wallet and per-use pricing work.