Nscale · FinOps Profile

Nscale Finops

FinOps view of Nscale spend. Nscale bills usage-based per-token rates for serverless text inference (input and output), per-megapixel rates for image generation, and per-GPU-hour rates for compute instances, nodes, and clusters. Reserved capacity and enterprise commitments reduce effective GPU-hour rates.

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

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

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

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

Category: AI and Machine Learning Pricing: Usage-Based Billing: Monthly FOCUS v1.3
AIGPUInferenceServerlessCloud ComputeFinOpsCost ManagementFOCUS

Framework Alignment

Framework
Data Spec

Charge Categories

UsagePurchaseAdjustment

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Usage
InvoiceIssuerName
Nscale
PricingCategory
Usage-Based
ProviderName
Nscale
PublisherName
Nscale
ServiceCategory
AI and Machine Learning
ServiceName
Nscale Serverless Inference and GPU Compute

Meters

input_tokens
Unit: tokens
Tokens sent in serverless chat / completions requests, billed per 1M tokens per model.
output_tokens
Unit: tokens
Tokens generated by serverless inference, billed per 1M tokens per model.
embedding_tokens
Unit: tokens
Tokens embedded via the embeddings endpoint, billed per 1M tokens per model.
image_megapixels
Unit: megapixels
Megapixels of generated imagery, billed per megapixel and scaled by diffusion steps.
gpu_hours
Unit: gpu_hours
GPU-hours consumed by compute instances, nodes, and clusters, billed per accelerator type.

Sources