Selecting Sizes for virtual machines in Azure
This tutorial explains the available sizes and options for the Azure virtual machines which can be use to run your apps and workloads. It also provides deployment considerations to be aware of when you’re planning to use these resources.
| Type | Sizes | Description |
|---|---|---|
| General purpose | B, Dsv3, Dv3, Dasv4, Dav4, DSv2, Dv2, Av2, DC, DCv2, Dv4, Dsv4, Ddv4, Ddsv4 | Balanced CPU-to-memory ratio. Ideal for testing and development, small to medium databases, and low to medium traffic web servers. |
| Compute optimized | F, Fs, Fsv2 | High CPU-to-memory ratio. Good for medium traffic web servers, network appliances, batch processes, and application servers. |
| Memory optimized | Esv3, Ev3, Easv4, Eav4, Ev4, Esv4, Edv4, Edsv4, Mv2, M, DSv2, Dv2 | High memory-to-CPU ratio. Great for relational database servers, medium to large caches, and in-memory analytics. |
| Storage optimized | Lsv2 | High disk throughput and IO ideal for Big Data, SQL, NoSQL databases, data warehousing and large transactional databases. |
| GPU | NC, NCv2, NCv3, ND, NDv2 (Preview), NV, NVv3, NVv4 | Specialized virtual machines targeted for heavy graphic rendering and video editing, as well as model training and inferencing (ND) with deep learning. Available with single or multiple GPUs. |
| High performance compute | HB, HBv2, HC, H | Our fastest and most powerful CPU virtual machines with optional high-throughput network interfaces (RDMA). |
You also need to study in detail about – REST API, ACU, Benchmark scores and Manage costs.
Reference documentation – Sizes for virtual machines in Azure