Microsoft Azure Instance Types Explained

StarAgilecalenderMay 05, 2022book10 minseyes2038

In recent years, we've witnessed an increase in the number of firms adopting the Azure methodology, which has resulted in an increase in the demand for the jobs related to Microsoft Azure. Today, we'll shed some light on the subject and discover everything there is to know about Microsoft Azure and Azure instance types. The use of Microsoft Azure in diverse teams is undoubtedly increasing, and the functions of Microsoft Azure have become increasingly important as a result. You will have a good understanding of this field after finishing this page, and you will be able to choose a better job for yourself with the best Microsoft Azure training and have a bright future. But first, let us learn the fundamentals of Microsoft Azure and various instance types in azure and gain a thorough understanding of it.

What are Azure instance types?

Microsoft Azure VMs come in a wide range, all of which are designed to fulfill specific requirements. Machine types vary by virtual CPU, storage capacity, and memory size, providing a variety of solutions to match any workload.

Finding the proper machine type for your workload might be difficult with so many options available, which is why we have put up this overview of azure VM instance types to make the work easy for you.

Microsoft Azure Instance Types:

Following are the main categories of Microsoft Azure which are sub categories further as

  • General purpose
  • Compute-optimized
  • Memory-optimized
  • Storage optimized
  • GPU optimized
  • High performance compute

 General-purpose VMs: B- and D-series instances

Generally purpose Virtual machines (VMs) contain a well-balanced CPU and memory, which make them ideal for testing and development purposes, from small to medium databases, and low-to-medium-traffic web servers: General-purpose virtual machines, such as those offered by Azure's D-series, aren't designed for specific use cases. For a variety of workload goals, users can choose among instances with various virtual CPU (vCPU), memory, and storage configurations as desired for their particular needs.

Compute Optimized

The CPU-to-memory ratio of compute optimized Azure VM types is very high. They are ideal for web servers with a low to moderate amount of traffic, network appliances, batch processing, and various application servers. The following series is categorized under compute-optimized azure instance types.


Fsv2 series VM types give up to twice the performance improvement for vector processing workloads, with a base core frequency of 3.4 GHz and a maximum single-core turbo frequency of 3.7 GHz. Not only do they provide excellent performance for every application, but the Fsv2 also provides the best value for money based on the Microsoft Azure Compute Unit (ACU) per vCPU ratio.

Memory-optimized VMs: E-, G- and M-series instances

Memory is valued more than CPU capability in some tasks and these workloads often pay a greater premium. Such workloads may necessitate a lot of content caching, relational database support, and in-memory analytics for the particular workload. Memory-optimized virtual machines have more memory than CPU and are ideally suited for relational database services, analytics, and larger caches. These are mainly E-, G- and M-series instances.

When a particular workload requires a high memory-to-processor ratio, Microsoft Azure customers can choose from a range of memory-optimized VMs available, such as the M-series. The Mv2-series instance type in azure has up to 12 TB of memory capacity. The G-series further enhances both memory and SSD storage, and the E-series instances are mainly two more memory-optimized instance types in Azure. Thus Memory-optimized VM types are higher in memory as opposed to CPU, and best suited for relational database services, analytics, and larger caches.

Storage-optimized VMs: Ls- and G-series instances

Storage requirements for big data initiatives, as well as SQL and NoSQL database and data warehousing implementations, can be very high. Cloud VMs configured for storage activity help workloads with high disc throughput or I/O requirements. On Microsoft Azure, these include the Ls-series and the G-series azure instance types, which are designed for both memory and storage.

GPU-optimized VMs: N-series instances

Graphics activities can put a lot of strain and stress on CPUs. Most of the processing work related to underlying math and rendering tasks is offloaded by most of the graphics processing units. GPUs are being used more and more for visualization, intensive analytics, and gaming and graphics applications.

The Nvidia Tesla P40, M60, and V100 GPUs are among the GPUs available in Azure's N-series instance types. To improve performance, GPU-optimized instances have high-bandwidth and more InfiniBand connectivity.

With the help of multiple GPUs, the N-series proves its worth in video editing, intense graphical features, graphics rendering, and cognitive computing. So it can opt as the best solution for predictive analytics, deep learning interpretations, and top-class visualization. The N-series comes in three different flavors, each of which serves a particular function. The NC-series is used for intensive computing tasks. The ND-series is for deep learning, whereas the NV-series is for streaming, gaming, encoding, and remote operations.

High-performance compute VMs: H-series instances

High-performance computing (HPC) tasks put a huge strain on processors and also more load on memory bandwidth. Fluid dynamics, finite element analysis, and weather modeling are examples of these types of workloads where azure instance types used are High-performance computing.

A number of Azure H-series instance types are highly optimized for HPC applications. The emphasis is on the selection and architecture of resources for HPC demands, rather than on the number of resources. H-series instances are distinguished by a combination of very high vCPU counts and plenty of memory. High memory bandwidth, high CPU clock speeds, huge vCPU cache per core, and high-performance SSD storage bandwidth are among the other prominent features of high-performance computing.

The A8, A9, A10, and A11 instance types from the A-series, which were designed for compute-intensive tasks that are for high-performance computing have been retired or vanished.

High-performance computation with optional high-throughput network ports is the finest solution for the fastest and most powerful virtual machines (RDMA).

Other VMs: A-, Bs- and E-series instances

Other instance types are also available in Microsoft Azure. The state of the economy Basic CPU and memory options are available in A-series instances. A-series instances, like general-purpose VMs, are very much ideal for jobs like software development and testing, low-traffic web servers, and tiny databases in azure instance types.

The Bs-series is a line of low-cost virtual machines designed to meet peak demand. Bs-series instances are mostly used in circumstances where processor consumption is uneven or unpredictable, as this may have an adverse effect on other VM kinds in azure instance types.

Finally, the E-series is designed for very complicated or very trending and demanding databases that require in-memory hyperthreading. To optimize it for memory-intensive workloads and high-performance cache and storage, the E-series has a high memory-to-processor ratio which makes these types of workloads very easy and efficient.

Final Word

When a person who has completed  Microsoft Azure certification joins the team, the dependencies in various tasks will be reduced, and the project manager will have fewer challenges and workloads to deal with. That person is very much valuable to the project manager as well as for the organization. The team will be able to learn more quickly about azure training from this person thus it enhances the team's productivity and efficiency. There are several possibilities for you to consider if you wish to pursue this career path in Microsoft Azure and get the azure certification. Microsoft Azure Team facilitators can work in a variety of different roles, and this path will be quite beneficial and the growth will be phenomenal for you.

With StarAgile, you may learn everything there is to know about Microsoft Azure instance types and all other numerous career opportunities. Here, you will discover committed professionals who can help you better adapt the technique to get certified for any particular course and also help you to determine what is best for you by mentoring your current profession and market needs. You may find the Microsoft Azure interview questions here. So don't simply think about it; now is the moment to take action to start your career and excel in your career.

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