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Azure Virtual Desktop Pricing

In this guide, you'll learn how AVD pricing works, discover key cost optimization strategies, and use two pricing calculators to estimate your expenses.

Amol Dalvi | May 2, 2025

Your Guide to AVD Costs

Azure Virtual Desktop offers you a flexible and cost-effective solution for deploying and managing virtual desktops and applications in the cloud. As shown above, there are three main components: virtual machines, storage accounts, and network connections and we’ll dive into each of these later on. 

This page will guide you through the key aspects of Azure Virtual Desktop cost, including:

  • Pricing model: Understand the different factors that contribute to your costs.
  • Cost optimization strategies: Learn how to optimize your AVD environment for cost efficiency.
  • Pricing calculators: Use the best Azure pricing calculators to estimate your costs.

What are the main components of AVD pricing?

AVD's pricing model is based on consumption, meaning you only pay for what you use. This makes it a cost-effective alternative to traditional on-premises VDI solutions, which often require significant upfront investment and ongoing maintenance costs.

Pricing components

Azure Virtual Desktop's pricing encompasses two main parts:

1) User access rights: These entitle your end-users to access the Azure Virtual Desktop service. The specific licensing requirements depend on whether you're providing AVD access for internal or external users.

  • Internal users: For internal end-users (employees within your organization), you'll need eligible Microsoft 365 or Windows licenses that include the rights to use virtual desktops. Common examples include Microsoft 365 E3/E5, Microsoft 365 Business Premium, and Windows 10/11 Enterprise E3/E5.
  • External users: For external end-users (partners, contractors, etc.), you'll need to enroll in per-user access pricing, which allows you to pay a fixed monthly fee per user for access.

2) Azure infrastructure costs: These costs are associated with running and maintaining your AVD deployment in Microsoft Azure. This includes the consumption-based costs for:

  • Compute for session host VMs: This refers to the cost of the virtual machines (VMs) that host your desktops and applications. The compute cost is determined by the size and type of VM you choose, as well as the duration of its usage.
  • Storage for OS and user profiles: This covers the cost of storing your data and applications in Azure. The storage cost depends on the amount of storage you use and the type of storage you select (e.g., standard or premium).
  • Networking for connectivity: This includes the cost of data transfer within Azure and between Azure and your on-premises network. The networking cost is based on the amount of data transferred.

In a typical AVD deployment, the relative proportions of compute, storage, and networking costs are shown below. As you can see, compute often dominates the costs, especially if you're running demanding workloads or haven't optimized VM sizing and utilization.

How does per-user access pricing work for AVD?

In addition to the consumption-based costs, AVD also offers per-user access pricing for external users. This allows you to pay a fixed monthly fee per user for accessing, regardless of their usage. This can be a cost-effective option for organizations that need to provide access to a large number of external users, such as partners or contractors.

What is the Azure Hybrid Benefit and how can it be used with AVD?

If you have existing Windows Server licenses with Software Assurance, you can leverage the Azure Hybrid Benefit to significantly reduce your compute costs. This benefit allows you to use your existing licenses to run Windows Server VMs in Azure, reducing your overall expenses.

What are Reserved Instances in Azure and how do they apply to AVD?

For predictable workloads, you can further optimize your costs by using Azure Reserved Instances. Reserved Instances allow you to pre-pay for your VM usage for a one-year or three-year term, providing significant discounts compared to pay-as-you-go pricing.

Know the TCO

This step-by-step wizard tool gives you the total cost of ownership for AVD in your organization.

How can I optimize the cost of my AVD deployment? 

Optimizing your Azure Virtual Desktop costs is crucial for maximizing the value of your investment. Here are some effective strategies to help you reduce your expenses:

1. Right-size Your VMs

Choosing the right VM size for your workloads is essential for cost efficiency. Avoid over-provisioning VMs with more resources than necessary. Analyze your users' needs, such as how often they’ll be connecting to AVD, and select VM sizes that adequately support their workloads without wasting resources.

2. Leverage multi-session Windows 10

Windows 10 multi-session allows multiple users to connect to a single VM, optimizing resource utilization and reducing costs. This is particularly beneficial for users with similar workloads, as it allows you to consolidate users onto fewer VMs.

3. Utilize Azure Hybrid Benefit

If you have existing Windows Server licenses with Software Assurance, take advantage of the Azure Hybrid Benefit. This allows you to use your existing licenses to run Windows Server VMs in Azure, significantly reducing your compute costs.

4. Optimize auto-scaling

Configure auto-scaling to automatically adjust the number of VMs in your host pool based on user demand. This ensures that you only pay for the resources you need, scaling up during peak usage and scaling down during off-peak hours.

5. Use reserved instances

For predictable workloads, consider using Azure Reserved Instances to pre-pay for your VM usage and secure significant discounts compared to pay-as-you-go pricing.

6. Monitor and analyze costs

Regularly monitor your costs using Azure Cost Management and Billing tools. Analyze your spending patterns to identify areas for optimization and ensure that you're staying within your budget.

Know the TCO

This step-by-step wizard tool gives you the total cost of ownership for AVD in your organization.

How can I estimate my AVD costs using a pricing calculator?

Estimating your Azure Virtual Desktop costs can be complex, as various factors influence the final price. To help you get a clearer picture of potential expenses, we offer here two AVD Pricing Calculators for you to explore.

Both tools allow you to customize your AVD environment based on your specific needs and provide an estimated monthly cost. You can adjust parameters such as:

  • Number of users: Specify the number of users who will access AVD.
  • Operating system: Choose between Windows 10, Windows 11, or Windows Server.
  • VM size: Select the appropriate VM size based on your users' workloads.
  • Storage: Define the amount of storage required for user data and applications.
  • Networking: Estimate the network bandwidth needed for your AVD environment.
  • Reserved instances: Indicate whether you'll be using reserved instances to optimize costs.

1) Nerdio’s Azure Cost Estimator

While Microsoft's Azure Pricing Calculator offers a basic estimate of AVD costs, Nerdio's AVD pricing calculator provides a more comprehensive and accurate picture for several reasons:   

  • More detailed: Includes user profiles, apps, and Nerdio features.
  • Optimization tips: Suggests ways to reduce costs.
  • Nerdio savings: Factors in Nerdio's cost optimizations.
  • Clear breakdown: Provides a transparent cost breakdown.

Access the Nerdio Azure Cost Estimator

2) Microsoft’s Azure Pricing Calculator

Access Microsoft’s Azure Cost Estimator

(Note: select “Compute” in the left-hand nav)

Frequently Asked Questions

Learn more about Azure Virtual Desktop

About the author

Amol Dalvi

VP, Product

Software product executive and Head of Product at Nerdio, with 15+ years leading engineering teams and 9+ years growing a successful software startup to 20+ employees. A 3x startup founder and angel investor, with deep expertise in Microsoft full stack development, cloud, and SaaS. Patent holder, Certified Scrum Master, and agile product leader.

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