# Underutilized Azure virtual machine | Cloud Efficiency Hub

Canonical: https://www.pointfive.co/efficiency-hub/inefficiencies/underutilized-azure-virtual-machine

Azure VMs are frequently provisioned with more vCPU and memory than needed, often based on template defaults or peak demand assumptions.

By: Taylor Houck

Updated: 2026-09-28

[Cloud Efficiency Hub](https://www.pointfive.co/efficiency-hub) 

# Underutilized Azure Virtual Machine

The short version

Azure VMs are frequently provisioned with more vCPU and memory than needed, often based on template defaults or peak demand assumptions.

[Taylor Houck](https://www.linkedin.com/in/twhouck/)

Cloud FinOps Specialist @ PointFive

Azure service

[Azure Virtual Machines](https://www.pointfive.co/efficiency-hub/cloud-services/azure-virtual-machines)

Category

[Compute](https://www.pointfive.co/efficiency-hub/service-category/compute)

Reference

CER-0045

Type

Overprovisioned Resource

## Explanation

Why the waste happens and who it affects.

When a VM operates well below its capacity for an extended period, it presents an opportunity to reduce costs through rightsizing. Without regular usage reviews, these inefficiencies can persist indefinitely.

## Billing model

The pricing dimensions that drive this cost.

Azure VMs are billed based on:

- VM size and family - Larger or more powerful VMs incur higher per-hour rates

- Uptime - Charged for the number of full minutes the VM runs; extra seconds are not billed

- Managed disk and network usage

## How to detect

5 checks to find it in your estate.

- Analyze average CPU and memory utilization of running VM's to determine

- Review whether application requirements justify the current VM size

- Evaluate if the workload would perform similarly on a lower SKU within the same VM series

- Confirm that performance, licensing, or compatibility constraints don't require oversizing

- Validate with stakeholders whether the VM can be resized without impact

## How to fix

How to remove the waste.

Resize the VM to a smaller SKU that aligns with observed usage. For unpredictable workloads, consider implementing VM scale sets or burstable VM types (e.g., B-series). Periodically audit VM sizing as part of environment hygiene.

## Documentation

Vendor references for pricing and configuration.

- [Pricing - Linux Virtual Machines  azure.microsoft.com](https://azure.microsoft.com/en-us/pricing/details/virtual-machines/linux/)

- [Resize a virtual machine  learn.microsoft.com](https://learn.microsoft.com/en-us/azure/virtual-machines/sizes/resize-vm)

## Related inefficiencies

[Browse the library](https://www.pointfive.co/efficiency-hub)

- Azure Virtual Machines  CER-0289

### [Underutilized Azure Savings Plan Due to Overly Narrow Scope](https://www.pointfive.co/efficiency-hub/inefficiencies/underutilized-azure-savings-plan-due-to-overly-narrow-scope)

An Azure Savings Plan is scoped too narrowly relative to where eligible compute usage actually runs. When usage is spread across multiple subscriptions or fluctuates significantly (for example, development and test workloads that are...

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- Azure Virtual Machines  CER-0240

### [Azure Hybrid Benefit Not Enabled on Virtual Machines](https://www.pointfive.co/efficiency-hub/inefficiencies/azure-hybrid-benefit-not-enabled-on-virtual-machines-a8f4b)

Many organizations purchase Software Assurance or subscription-based Windows and SQL Server licenses that entitle them to use Azure Hybrid Benefit. However, if the setting is not applied on eligible resources, Azure continues charging...

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- Azure Virtual Machines  CER-0104

### [Suboptimal Architecture Selection for Azure Virtual Machines](https://www.pointfive.co/efficiency-hub/inefficiencies/suboptimal-architecture-selection-for-azure-virtual-machines)

Azure offers x86-64 VMs (Intel and AMD) and Arm64 VMs (Ampere Altra and Azure Cobalt 100), but default provisioning often leans toward Intel-based SKUs due to inertia or pre-configured templates. AMD and ARM alternatives offer lower list...

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Source: the public page above. Product screenshots and illustrative interfaces are examples, not live customer data.

