Run Your Workloads in Minutes on Infrastructure That Scales to Your Needs with Azure Virtual Machines

Azure Virtual Machines is an on-demand compute service that lets you spin up Windows and Linux servers in seconds, without buying hardware. From general-purpose workloads to high-performance computing and GPU-based AI, you choose the right size for every scenario and pay only for the time you use.

Start Your Compute Journey

What Is an Azure Virtual Machine?

An Azure Virtual Machine is a virtualized server created on demand in Microsoft's global data centers. Without investing in physical hardware, you allocate the CPU, memory, storage and networking resources you need within minutes, and run any operating system and software on top of them. In this sense, it is the fundamental building block of the cloud's infrastructure (IaaS) layer.

There is a VM family for every need, from general-purpose applications and memory-intensive databases to high-performance computing and GPU-based AI workloads. With Pargesoft, a team specialized in Azure cloud solutions, you choose the right size, region and pricing model, striking the balance between performance and cost.

  • Provisioning in Seconds Instead of waiting weeks to procure a server, you bring the machine you need online in minutes and shut it down when you are done.
  • Freedom of Windows and Linux Choose from Windows Server, a wide range of Linux distributions and ready-made application images, and carry your existing software investments over as they are.
  • Pay-As-You-Go Flexibility With per-second billing, you pay only for running machines and eliminate the cost of idle resources.
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flexible pricing models
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savings with Reserved Instances
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instances in a single scale set (VMSS)
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single-instance SLA availability

The Right Size and Virtual Machine Family for Every Workload

A one-size-fits-all server cannot run every job efficiently, which is why Azure offers specialized VM families side by side. The main ones include the general-purpose D-series for balanced workloads, the memory-optimized E and M-series for databases that need large amounts of memory, the compute-optimized F-series for CPU-intensive tasks, the storage-optimized L-series for applications that demand low-latency disk access, and the GPU-based N-series for AI and graphics workloads. For interruptible development scenarios, the economical B-series comes into play. You can configure each family in a wide range of sizes, simplify storage with managed disks and snapshots, and re-size as your workload changes to keep the right balance between performance and cost at all times.

Windows and Linux Support

Run Windows Server and leading Linux distributions. Use ready-made images or your own custom images to quickly replicate machines from a standard template.

Managed Disks and Snapshots

Build durable storage with managed disk options including Premium SSD. Minimize the risk of data loss with snapshots and backups.

Choose the Pricing Model That Best Fits Your Workload

What really drives virtual machine cost is matching the right pricing model to the workload. For short-lived and unpredictable jobs, pay-as-you-go offers per-second flexibility. For steady, predictable workloads, Reserved Instances deliver savings of up to 72 percent, and compute savings plans provide a similar commitment-based discount.

For interruptible scenarios such as batch jobs, testing and rendering, Spot Virtual Machines let you use Azure's spare capacity at very low prices. The Azure Hybrid Benefit, which lets you bring your existing Windows Server and SQL Server licenses, adds further savings on top of these models. With the right combination, you significantly lower cost without compromising performance.

A Gartner® Leader: Microsoft is positioned as a Leader in the Gartner® Magic Quadrant™ for Strategic Cloud Platform Services, with the cloud infrastructure services that also underpin virtual machines.

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End-to-End Scenarios from Server Migration to AI

Azure Virtual Machines are not tied to a single way of working. From migrating your existing servers to development environments, from high-performance computing to scalable web applications, you run all of these scenarios on the same flexible compute foundation.

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Lift-and-Shift Migration

Move your on-premises servers to the cloud, in most cases without code changes. Use Azure Migrate to run the process from discovery to migration in a planned, low-risk way.

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Development and Test Environments

Spin up environments on demand and shut them down when the work is done. Keep costs under control with auto-shutdown schedules and dev/test pricing.

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High-Performance Computing

Run CPU and GPU-intensive workloads such as simulation, rendering and scientific computing on powerful VM families with high-speed networking support.

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Scalable Web Applications

Build highly available application tiers that automatically scale out and in with traffic, using Virtual Machine Scale Sets (VMSS) and load balancers.

Run AI Workloads with the Power of GPUs

Model training and inference require specialized hardware beyond standard servers. Azure's GPU-based virtual machines let you take your AI projects into production without buying your own infrastructure.

As you move from a pilot to enterprise scale, you keep the following capabilities at your fingertips:

GPU-Powered AI and ML With ND and NC-series machines based on NVIDIA H100 and A100, you run large-scale model training and inference at high performance, without building your own data center.
Elastic Training with Scale Sets With Virtual Machine Scale Sets, you automatically scale out distributed training jobs on demand and release resources when the work is done, optimizing cost.
Secure AI with Confidential Computing With confidential computing capabilities, you protect your data at the hardware level not only at rest but also while it is being processed, running sensitive AI workloads with confidence.

Frequently Asked Questions (FAQ)

What is an Azure Virtual Machine and when should I choose it?
An Azure Virtual Machine is a virtualized server you create on demand in the cloud, and it is the foundation of the infrastructure (IaaS) layer. It is the best option when you need full control at the operating system level, when you want to move your existing applications to the cloud without code changes (lift-and-shift), or when third-party software and custom configurations are required. You manage the server; Azure operates only the underlying physical hardware and virtualization layer.
Which VM family and size should I choose?
The choice depends on the character of your workload. The general-purpose D-series suits balanced applications, the E or M-series fit databases that need large memory, the F-series is for CPU-intensive tasks, the L-series for low-latency disk access, and the GPU-based N-series for AI and graphics. For interruptible development and testing, the economical B-series stands out. It is important to base sizing decisions on monitoring data and to re-size as the workload changes.
How do I lower my virtual machine cost?
The biggest savings come from matching the pricing model to the workload correctly. Reserved Instances provide up to 72 percent discount for always-on workloads, while Spot Virtual Machines offer much lower cost for interruptible jobs. If you have existing Windows Server and SQL Server licenses, the Azure Hybrid Benefit gives you additional savings. On top of these, right-sizing machines, shutting down unused resources and setting auto-shutdown schedules lower cost on a lasting basis.
How are my virtual machines protected and how is high availability ensured?
On the security side, you protect your machines in a multi-layered way with Trusted Launch, disk encryption, Microsoft Entra ID based access and Microsoft Defender for Cloud. On the availability side, Availability Zones distribute your workloads across physically separate facilities, while Virtual Machine Scale Sets (VMSS) and load balancers provide automatic scaling and uninterrupted service based on demand. This design prevents a single hardware failure from bringing down your service.

Design Your Virtual Machine Infrastructure Right with Pargesoft

The value of a virtual machine environment is measured not by how easy it is to set up, but months later: is performance meeting expectations, is cost under control, are security and availability sufficient? Pargesoft designs your Azure Virtual Machine infrastructure to answer these long-term questions from the very beginning. From choosing the right VM family and size to optimizing the pricing model, from security configuration to high availability and scaling architecture, we design every step together, helping you migrate your workloads with confidence and reach an agile compute foundation that is ready for AI.

Start Your Compute Journey on the Right Foundation

Whether you are moving to the cloud for the first time or looking to mature your existing virtual machine environment, Pargesoft's senior cloud experts shape your VM sizing, security configuration and cost model around your business. Talk to us to migrate your server workloads with confidence and build a compute layer that is ready for AI.

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