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Cudo Compute is a GPU cloud that bills compute by the hour and storage by the GiB-hour, per project. CostGraph reads Cudo Compute as FOCUS 1.2 records at a grain of one record per project per resource charge per day.

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Choose how the data reaches us

CostGraph pulls it

You supply read-only credentials and we call Cudo Compute once a day. Nothing to run.

You push it

You send us FOCUS records over the API. Credentials never leave your infrastructure.

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Before you begin

  • In the Cudo Compute console, create an API key. The connect form links to the guide.
  • If the key can see more than one billing account, note the id of the one to export. Leave it empty when there is only one.

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Let CostGraph pull

  1. Open Settings > Integrations and pick Cudo Compute.
  2. Name the connection and pick the tenant these charges belong to.
  3. Enter the values you copied. The form lists what Cudo Compute needs and marks the optional ones.
  4. Select Connect.
CostGraph verifies the credentials with a short fetch before saving, so a wrong value or a missing permission fails while you are still on the form.
Credentials are encrypted at rest and used only to read billing data. Revoke them in Cudo Compute at any time and the connection stops; nothing else is affected.

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Push it yourself

Send the charges to CostGraph as FOCUS records instead. Push FOCUS data covers the connection id, the focus:write key, and the request shape.

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Run the exporter

Rather than build that request yourself, run our exporter. It reads Cudo Compute on a schedule and pushes the records for you, wherever you want to run it: a container, a Kubernetes CronJob, or a binary on a machine you already have.
Your Cudo Compute credential stays where you put it, and only the finished FOCUS records reach CostGraph. Run the exporter covers the three ways to run it and the variables it reads.

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What CostGraph does with it

Records land as raw billing rows, are normalised into line items, and roll up into daily cost. From there Cudo Compute spend appears in Cost Overview and in anomaly detection alongside every other provider. Compute and storage cost are on separate lines.