Azure GPU compute cost tracking
NC and ND series GPU spend, split by workload.
How does Camaze work with Azure GPU compute?
Camaze connects to Azure GPU compute with read-only credentials and pulls spend and usage into the same view as every other place you pay for AI.
What Camaze pulls from Azure GPU compute
NC and ND series GPU spend is separated from the rest of the Azure bill, attributed to the models and endpoints it serves, and reported as cost per million tokens served with utilization alongside it.
- Compute spend, split out of the wider cloud or platform bill
- Which models and endpoints that compute is serving
- Utilization, so an idle dedicated endpoint is visible as an opportunity
- Cost per million tokens served, comparable to hosted providers
See your Azure GPU compute spend in context.
Book a walkthrough and we will show you Azure GPU compute costs next to everything else you pay for AI.
Keep reading
Every integration
The full list of providers, tools, self-hosted sources and destinations Camaze connects to.
Read moreSpend visibility
How Azure GPU compute spend joins every other source on one cost basis, in one number.
Read moreCost optimization
The standing list of what to cut, including findings specific to Azure GPU compute usage.
Read moreQuestions people ask
What access does Camaze need for Azure GPU compute?
Read-only billing and usage credentials. Nothing that can spend money, change a deployment, or read your prompts and completions. Details are on the security page.
Does it backfill historical Azure GPU compute spend?
Yes. Camaze pulls the available history on connection, typically the last twelve months, so you start with a trend rather than an empty chart.
Can we split Azure GPU compute spend by team or project?
Yes. Map keys, projects, workspaces or tags to your own org structure once, and every Azure GPU compute charge is attributed from then on. See cost allocation.
Do we have to use Azure GPU compute exclusively?
No. Camaze is built for the opposite case. Azure GPU compute sits alongside every other provider, tool and self-hosted model in the same view, on the same cost basis. It is equally useful if Azure GPU compute is the only thing you run: see single-provider visibility.