specification: FinOps Framework
specificationVersion: '1.0'
schema: https://www.finops.org/framework/
provider: CUDO Compute
providerId: cudo-compute
created: '2026-06-21'
modified: '2026-06-21'
reconciled: false
tags:
- GPU
- Cloud Compute
- Infrastructure
- Virtual Machines
- Marketplace
- FinOps
- Cost Management
- FOCUS
description: >-
  FinOps view of CUDO Compute spend. CUDO bills usage-based, per-resource-hour
  rates: per GPU-hour (by GPU model and data center), per vCPU-hour, per GiB of
  memory-hour, per GiB of storage, plus public IP and network charges. Reserved
  Capacity and committed contracts lower effective rates; bare metal and cluster
  capacity is priced by quote. The Billing API exposes spend details, invoices,
  outstanding balances, credit balances, and per-account hourly/monthly spend
  limits for cost governance.
notes: >-
  Per-GPU and per-resource rates vary by data center and change over time;
  verify against the live machine-type-prices endpoint and the pricing page
  during reconciliation.
sources:
- https://www.cudocompute.com/pricing
- https://www.cudocompute.com/docs/api
- https://focus.finops.org/focus-specification/v1-3/
alignedWith:
  framework: FinOps Foundation Framework
  frameworkUrl: https://www.finops.org/framework/
  dataSpec: FOCUS
  dataSpecVersion: '1.3'
  dataSpecUrl: https://focus.finops.org/focus-specification/v1-3/
publisherName: CUDO Compute
serviceCategory: Compute
billingModel:
  pricingCategory: Usage-Based
  billingFrequency: Monthly
  billingCurrency: USD
  chargeCategories:
  - Usage
  - Purchase
  - Adjustment
  - Credit
focusColumns:
  ServiceName: CUDO Compute
  ServiceCategory: Compute
  ProviderName: CUDO Compute
  PublisherName: CUDO Compute
  InvoiceIssuerName: CUDO Compute
  BillingCurrency: USD
  ChargeCategory: Usage
  PricingCategory: Usage-Based
meters:
- name: gpu_hours
  description: GPU-hours consumed by virtual machines, billed per GPU model and data center.
  unit: gpu_hours
  aggregation: sum
  dimensions:
  - billingAccount
  - project
  - dataCenter
  - gpuModel
- name: vcpu_hours
  description: vCPU-hours consumed by virtual machines, billed per CPU model and data center.
  unit: vcpu_hours
  aggregation: sum
  dimensions:
  - billingAccount
  - project
  - dataCenter
  - cpuModel
- name: memory_gib_hours
  description: Memory GiB-hours allocated to virtual machines, billed per data center.
  unit: gib_hours
  aggregation: sum
  dimensions:
  - billingAccount
  - project
  - dataCenter
- name: storage_gib_month
  description: Block and object storage GiB-months, billed per storage class and data center.
  unit: gib_month
  aggregation: sum
  dimensions:
  - billingAccount
  - project
  - dataCenter
  - storageClass
- name: network_hours
  description: Network and v-router hours plus public IP charges.
  unit: hours
  aggregation: sum
  dimensions:
  - billingAccount
  - project
  - dataCenter
- name: reserved_capacity
  description: Committed/reserved GPU capacity billed at discounted contract rates.
  unit: gpu_hours
  aggregation: sum
  dimensions:
  - billingAccount
  - commitmentTerm
- name: credit_balance
  description: Prepaid credit balance applied against usage charges.
  unit: usd
  aggregation: sum
  dimensions:
  - billingAccount
principles:
- name: Visibility
  description: Pull spend details, invoices, and credit-balance transactions via the Billing API; inspect per-project and per-data-center resource burn.
- name: Allocation
  description: Tag workloads by project and billing account; map machine types and data centers to internal cost centers.
- name: Optimization
  description: Use Reserved Capacity and commitment terms for steady GPU workloads; right-size machine types; pick cheaper GPU models and data centers; stop or terminate idle VMs and detach unused disks.
- name: Accountability
  description: Set hourly and monthly spend limits and billing thresholds per billing account; review invoices and outstanding balances against budget.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com