Microsoft Azure Machine Learning Finops

Name: Microsoft Azure Machine Learning Finops
Creator: Azure Machine Learning
Keywords: AI, Azure, Machine Learning, MLOps, Model Deployment, Model Training, FinOps, Cost Management, FOCUS

FinOps framework definition for the Azure Machine Learning API surface. Provides a FOCUS-aligned mapping for cost allocation, usage measurement, and unit-economics reporting across the provider's APIs.

Microsoft Azure Machine Learning Finops is the FinOps profile for Azure Machine Learning on the APIs.io network, aligned with the FinOps Foundation Framework.

It defines 3 billable meters, billed in USD, on a monthly cycle, and pricing category usage-based.

The profile maps 9 FOCUS columns for cost-allocation reporting.

Tagged areas include AI, Azure, Machine Learning, MLOps, and Model Deployment.

Category: API Pricing: Usage-Based Billing: Monthly FOCUS v1.3

AIAzureMachine LearningMLOpsModel DeploymentModel TrainingFinOpsCost ManagementFOCUS

Framework Alignment

Framework

FinOps Foundation Framework

Data Spec

FOCUS v1.3

Charge Categories

UsagePurchaseTaxCreditAdjustment

FOCUS Columns

BillingCurrency

USD

ChargeCategory

Usage

InvoiceIssuerName

Azure Machine Learning

PricingCategory

Usage-Based

PricingUnit

request

ProviderName

Azure Machine Learning

PublisherName

Azure Machine Learning

ServiceCategory

Developer Tools / API

ServiceName

Azure Machine Learning

Meters

api_requests

Unit: request

Count of billable API requests

data_egress

Unit: GB

Bytes returned over the network in API responses

compute_seconds

Unit: second

Server-side compute consumed by the request, where applicable