FinOps scope · AI
FinOps for AI: tokens and GPUs.
GitHub Copilot, OpenAI, Anthropic Claude, Cursor — plus Azure OpenAI deployments, GPU SKUs, fine-tuning, and vector stores. AI is the fastest-growing line on the cloud bill. CloudMonitor governs all of it.
The problem
AI cost is different.
Token-based pricing is opaque.
Per-1k-token charges from OpenAI, Anthropic, Cohere — across multiple endpoints — don't aggregate cleanly.
GPU SKUs are expensive and prone to idle.
A forgotten A100 burns budget overnight.
Workloads bypass FinOps governance.
AI teams move fast and don't want gates.
How CloudMonitor answers
What CloudMonitor does for AI.
Per-deployment token tracking.
Costs aggregated by Azure OpenAI deployment, model, and endpoint.
GPU idle detection.
Surface GPU VMs and ND SKUs that are idle. Recommend deallocate or downsize.
AI cost group templates.
Pre-built AI cost-group templates so AI workloads get governance from day one.
AI cost in CloudMonitor
The opaque AI bill, aggregated.
Token spend and GPU usage land in the same cost analysis and recommendation surfaces as the rest of your Azure estate.
Per-deployment cost
Token spend that finally aggregates.
Group AI cost by deployment, model, and endpoint in the same cost analysis used for the rest of Azure — so per-1k-token charges roll up to a number you can defend.
GPU idle detection
Idle GPUs flagged before they burn the budget.
Idle GPU VMs and ND SKUs surface in the recommendation queue with deallocate-or-downsize actions, so a forgotten A100 shows up in hours, not on next month's invoice.
AI connectors
Connect your AI providers.
GitHub Copilot
Seat allocation, per-user acceptance rates, and completion volume by editor, language, and model. Business and Enterprise plans.
OpenAI
Token usage and dollar cost across Chat, Embeddings, Images, Audio, Vector Stores, and Code Interpreter. Hourly polling.
Anthropic Claude
Uncached input, cache writes, cache reads, and output tokens — by workspace and model. Service tier exposes the 50% batch discount.
Cursor
Paid seat count, per-developer model mix, and included vs overage split. Business or Enterprise plan required.
Outcomes
AI cost outcomes.
Per-model
Cost attribution for OpenAI deployments
Idle GPUs
Detected in under 24h
Templates
For common AI workload patterns
Other FinOps Scopes
Where FinOps extends.
FinOps for Cloud
Azure-native FinOps — purpose-built for the Microsoft Azure bill.
FinOps for Data Centers
Hybrid and on-prem footprint costed alongside cloud spend.
FinOps for Licensing
Azure Hybrid Benefit, BYOL, M365, Power BI, and marketplace licences.
FinOps for SaaS
Govern the third-party SaaS your teams buy on credit cards — Datadog, Snowflake, Notion, Figma.
Source: this page interprets the FinOps Scopes published by the FinOps Foundation, licensed under CC BY 4.0. The wording, examples, and product mapping on this page are CloudMonitor’s own.
Govern your AI cloud spend.
Live demo includes Azure OpenAI cost tracking and GPU idle detection.
