Azure Virtual Machine Size
VM size is also an important factor on which the working of our virtual machine depends. As we mentioned above that the VM size depends on the type of workload we are working on. If the workload is very large so according to it we have to choose more VM sizes so that working should be smooth and workable.
Different factors such as the capacity of our storage, and processing power depend on the size of our VM. The large the VM size is the better and more workable we have these factors.
Hourly charges are paid to Azure which is based on the operating system and also VM Size.
Type | Sizes | Description |
---|---|---|
General Purpose | B-series, D-series, E-series | Having a balanced CPU-to-memory ratio, general-purpose virtual machines are appropriate for a variety of workloads, including web servers, small- to medium-sized databases, and development and test environments. |
Compute Optimized | F-series, H-series, M-series |
Compute Optimized VMs have a greater CPU-to-memory ratio, making them suited for CPU-intensive activities including batch processing, video encoding, and high-performance computing. |
Memory Optimized | M-series, G-series, GS-series | For memory-intensive tasks like big databases, in-memory analytics, and machine learning, Memory Optimized VMs offer a higher ratio of memory to CPU. |
Storage Optimized | L-series and H-series | Storage The greater storage to CPU and memory ratio offered by optimized VMs makes them appropriate for storage-intensive tasks like big data analytics, data warehousing, and massive NoSQL databases. |