DataCrunch · FinOps Profile

Datacrunch Finops

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.

Datacrunch Finops is the FinOps profile for DataCrunch on the APIs.io network, aligned with the FinOps Foundation Framework.

It defines 5 billable meters, billed in USD, on a prepaid cycle, and pricing category usage-based.

The profile maps 8 FOCUS columns for cost-allocation reporting.

Tagged areas include GPU Cloud, Infrastructure, Compute, Inference, and Serverless.

Category: Compute Pricing: Usage-Based Billing: Prepaid FOCUS v1.3
GPU CloudInfrastructureComputeInferenceServerlessEuropeFinOpsCost ManagementFOCUS

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

UsagePurchaseAdjustment

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Usage
InvoiceIssuerName
DataCrunch
PricingCategory
Usage-Based
ProviderName
DataCrunch
PublisherName
DataCrunch
ServiceCategory
Compute
ServiceName
DataCrunch GPU Cloud

Meters

gpu_instance_hours
Unit: gpu_hours
On-demand GPU instance runtime billed per GPU per hour (by the second).
reserved_gpu_hours
Unit: gpu_hours
Long-term/reserved contract GPU hours at discounted committed rates.
container_compute_seconds
Unit: compute_seconds
Serverless container active compute billed per second on the chosen compute size.
volume_gb_months
Unit: gb_months
Block storage volume capacity billed per GB per month.
account_balance
Unit: currency
Prepaid account balance drawn down by usage charges.

Sources

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