specification: FinOps Framework
specificationVersion: '1.0'
schema: https://www.finops.org/framework/
provider: DataCrunch
providerId: datacrunch
created: '2026-06-21'
modified: '2026-06-21'
reconciled: true
tags:
- GPU Cloud
- Infrastructure
- Compute
- Inference
- Serverless
- Europe
- FinOps
- Cost Management
- FOCUS
description: >-
  FinOps view of DataCrunch GPU cloud spend. DataCrunch bills per-GPU-per-hour
  (by the second) for on-demand instances, discounted reserved rates for
  long-term contracts, per-second container compute for autoscaling serverless
  deployments, and per-GB-per-month for block storage volumes. Spend is funded
  from a prepaid account balance, so cost control centers on right-sizing GPU
  types, scaling serverless replicas to zero, and reclaiming idle volumes.
notes: >-
  Per-GPU-hour rates are subject to change and reserved contracts are cheaper;
  verify against the DataCrunch pricing page during reconciliation. Provider is
  rebranding to Verda; api.datacrunch.io remains the API host.
sources:
- https://datacrunch.io/pricing
- https://docs.datacrunch.io/
- 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: DataCrunch
serviceCategory: Compute
billingModel:
  pricingCategory: Usage-Based
  billingFrequency: Prepaid
  billingCurrency: USD
  chargeCategories:
  - Usage
  - Purchase
  - Adjustment
focusColumns:
  ServiceName: DataCrunch GPU Cloud
  ServiceCategory: Compute
  ProviderName: DataCrunch
  PublisherName: DataCrunch
  InvoiceIssuerName: DataCrunch
  BillingCurrency: USD
  ChargeCategory: Usage
  PricingCategory: Usage-Based
meters:
- name: gpu_instance_hours
  description: On-demand GPU instance runtime billed per GPU per hour (by the second).
  unit: gpu_hours
  aggregation: sum
  dimensions:
  - account
  - instance_type
  - location
- name: reserved_gpu_hours
  description: Long-term/reserved contract GPU hours at discounted committed rates.
  unit: gpu_hours
  aggregation: sum
  dimensions:
  - account
  - instance_type
  - contract_period
- name: container_compute_seconds
  description: Serverless container active compute billed per second on the chosen compute size.
  unit: compute_seconds
  aggregation: sum
  dimensions:
  - account
  - deployment
  - compute_size
- name: volume_gb_months
  description: Block storage volume capacity billed per GB per month.
  unit: gb_months
  aggregation: sum
  dimensions:
  - account
  - volume_type
  - location
- name: account_balance
  description: Prepaid account balance drawn down by usage charges.
  unit: currency
  aggregation: last
  dimensions:
  - account
principles:
- name: Visibility
  description: Poll GET /balance and list instances/volumes/deployments to track live burn against prepaid credit.
- name: Allocation
  description: Tag instances and deployments by name/project; map GPU types and locations to internal cost centers.
- name: Optimization
  description: Right-size GPU type to the workload; use long-term contracts for steady demand; scale serverless replicas to zero between requests; delete idle volumes and empty trash.
- name: Accountability
  description: Assign owners per deployment/project; review prepaid balance draw-down and idle-resource reports regularly.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com