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This guide takes you from a new account to a live model responding to an API call.
Replace https://YOUR-VALKYRIE-DASHBOARD below with your organization’s Valkyrie dashboard URL, and https://valkyrie-back.azumo.com with your API base URL if it differs. Ask your administrator if you’re unsure which hosts to use.

1. Create an account and fund your wallet

  1. Sign in to the Valkyrie dashboard.
  2. Open Quota and check (or top up) your balance. Valkyrie is prepaid and billed per use, your balance is what your deployments and jobs draw against. See Quota & billing.

2. Create an API key

Machine access uses an API key sent in the X-API-Key header.
  1. Open API Keys from the sidebar, then the Deployment Keys tab.
  2. Create a key and copy it, you won’t be able to see it again.
Treat API keys like passwords. Store them in a secret manager or environment variable, never in source control.

3. Deploy a model

You can deploy any Hugging Face model directly, or deploy a model you’ve fine-tuned on Valkyrie.
  1. Open Models → Deploy.
  2. Choose a base model (for example, a Qwen chat model) or one of your fine-tuned models.
  3. Launch the deployment. Valkyrie provisions a GPU on demand, starts the serving engine (vLLM or Ollama), and health-checks it before marking it ready.
When the deployment is ready it exposes an OpenAI-compatible endpoint. See Deploy a model for the full walkthrough.

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.
Prefer a stable, readable URL? Attach an alias to your deployment and call /{account_slug}/{alias}/v1/chat/completions instead of the raw deployment slug. See Aliases.

Next steps

Fine-tune a model

Train an open model on your own dataset.

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.