# GPU Instance Pricing - Documentation

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Source: /docs/guides/gpu-instance-pricing

# GPU Instance Pricing

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[​](#on-demand-pricing)

On-Demand Pricing

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[​](#introduction)

Introduction

On-Demand Pricing is designed to offer users the flexibility to access computational resources without any long-term commitments or upfront costs. This pricing model is ideal for users who require compute power on an as-needed basis, whether for short-term projects, variable workloads, or unpredictable processing demands.

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[​](#billing-structure-of-on-demand-pricing)

Billing Structure of On-Demand Pricing

Includes “computing resources” and “storage resources”, you can view the billing details on the [Billing Explore](https://novita.ai/gpu-instance/console/billing).

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[​](#1-computing-resources)

1. Computing Resources

Cost = Instance Unit Price × Billing Duration × Number of Cards

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Billing duration is accurate to the second and settled hourly;

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You can view the unit prices of various instance specifications on the [GPU Instance Explore](https://novita.ai/gpu-instance/console);

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The billing start time is when the instance is successfully created and enters the pulling state, and the billing stop time is when the instance is stopped.

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[​](#2-storage-resources)

2. Storage Resources

Billing ItemBilling MethodExplanationBilling LogicContainer DiskPay-as-you-goSupports 60GB free quota, charges for the excess based on capacity and usage duration.Unit price for the excess capacity: $0.005/GB/dayVolume DiskPay-as-you-goCharges based on capacity and usage duration.Unit price: $0.005/GB/dayNetwork VolumePay-as-you-goCharges based on capacity and usage duration.Unit price: $0.002/GB/day

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[​](#advantages-of-on-demand-pricing-for-different-scenarios)

Advantages of On-Demand Pricing for Different Scenarios

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Short-Term Projects: For projects with a limited duration, On-Demand Pricing allows you to align your compute costs with the project timeline.

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Variable Workloads: If your workloads fluctuate, On-Demand Pricing provides the flexibility to scale up or down as needed without incurring fixed costs.

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Testing and Development: For testing new applications or developing code, On-Demand Pricing offers a cost-effective way to access necessary compute resources without long-term financial commitments.

Last modified on January 21, 2025