Google Cloud GPU compute cost tracking
GPU and TPU spend on GCP, attributed to the models using it.
How does Camaze work with Google Cloud GPU compute?
Camaze connects to Google Cloud 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 Google Cloud GPU compute
GPU and TPU spend on Google Cloud is attributed to the models and endpoints consuming it, expressed as cost per million tokens served, and reported with utilization so under-used reserved capacity is visible.
- 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 Google Cloud GPU compute spend in context.
Book a walkthrough and we will show you Google Cloud 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 Google Cloud 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 Google Cloud GPU compute usage.
Read moreQuestions people ask
What access does Camaze need for Google Cloud 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 Google Cloud 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 Google Cloud GPU compute spend by team or project?
Yes. Map keys, projects, workspaces or tags to your own org structure once, and every Google Cloud GPU compute charge is attributed from then on. See cost allocation.
Do we have to use Google Cloud GPU compute exclusively?
No. Camaze is built for the opposite case. Google Cloud 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 Google Cloud GPU compute is the only thing you run: see single-provider visibility.