Azure Virtual Machines for high-performance computing: A Practical Step-by-Step Guide

Step 1: Log in to the Azure portal

  • Open a web browser and navigate to https://portal.azure.com

  • Click on the “Sign in” button in the top-right corner of the page.
  • Enter your Microsoft account credentials (email address and password) or organizational credentials if your organization uses Azure Active Directory.
  • If prompted, complete any additional authentication steps, such as multi-factor authentication (MFA).
  • Navigate to the Azure Portal dashboard Azure Virtual Machineafter the authentication. Authentication is the first step toward empowering your organization with cloud capabilities.

Step 2: Create a Resource Group

  • To configure a new resource group, please go to “Resource groups” on the left bar at the bottom of the screen by clicking it.

  • Locate the “+ Create” button at the top right corner of the page by clicking on the screen.
  • In the “Create a resource group” blade, provide a name for your resource group and select the desired region. The region determines the physical location where your resources will be hosted.

  • Click “Review + create” and then “Create” to deploy the new resource group.

Step 3: Deploy a Virtual Machine

  • In the Azure Portal, click on “Create a resource” in the top-left corner of the dashboard.

  • Search for “Virtual machine” and select the appropriate option (e.g., “Virtual Machine” or “Virtual Machine (classic)”).

  • Click “Create” to start the virtual machine creation process.

How To Use Azure Virtual Machines For High-Performance Computing ?

Through Azure Virtual Machines, HPC jobs can take advantage of the platform’s powerful and scalable nature, which is offered in the cloud environment. The possibility to boot virtual machines chosen for compute-intensive purposes helps to execute, e.g., simulations and big data analysis with ease. From one-node Batch compute virtual machines to fine-tuned compute pipe using Azure Batch or Azure CycleCloud solutions, you may choose between the broadest range of computing infrastructure for your HPC needs. Azure provides a large number of VM sizes with full cores CPU, and high-end memory configuration to handle even the toughest computational tasks.

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What is Azure Virtual Machine?

Azure VM is a virtualized compute unit provided as a service by Microsoft Azure, its cloud computing platform. It is a tool for users to create and control virtual machines in Microsoft’s data centers, thus satisfying the needs of the Two platforms for cloud computing and giving at the same time the possibilities of a physical server....

Azure Virtual Machines for high-performance computing: A Practical Step-by-Step Guide

Step 1: Log in to the Azure portal...

Follow the step-by-step wizard, configuring the virtual machine settings

Choose the appropriate VM image (e.g., Windows Server or Ubuntu Server) Select the VM size based on your HPC requirements (CPU cores, RAM, GPU, etc.)...

Advantages of Azure Virtual Machines for High-Performance Computing:

Azure Virtual Machines (VMs) offer several advantages for high-performance computing (HPC) workloads:...

Disadvantages of Azure Virtual Machines for High-Performance Computing:

While Azure Virtual Machines offer several advantages for high-performance computing (HPC) workloads, there are also some potential disadvantages to consider:...

Conclusion

In summary, the Azure Virtual Machines offer a robust and scalable HPC in the cloud, which enable the scientific computing systems to run high- performance workloads without any interruption. Azure’s high-end computing instances, high-performance storage, and network technology removes the need for expensive and heavy computing users to cover the fog. To have your Azure VMs for HPC jobs selected wisely, it is crucial that you are very choosy with respect to the VM family and settings which you find important to your workload. The HBv3 type, HBv_migrated instances, and ND-series VMs are developed for HPC purposes and they are used for the compute, memory, and GPU computing acceleration purposes....

Azure Virtual Machines – FAQ’s

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