Storage optimized virtual machine sizes

Storage optimized VM sizes offer high disk throughput and IO, and are ideal for Big Data, SQL, NoSQL databases, data warehousing, and large transactional databases. Examples include Cassandra, MongoDB, Cloudera, and Redis. This article provides information about the number of vCPUs, data disks, and NICs as well as local storage throughput and network bandwidth for each optimized size.

The Lsv2-series features high throughput, low latency, directly mapped local NVMe storage running on the AMD EPYCTM 7551 processor with an all core boost of 2.55GHz and a max boost of 3.0GHz. The Lsv2-series VMs come in sizes from 8 to 80 vCPU in a simultaneous multi-threading configuration. There is 8 GiB of memory per vCPU, and one 1.92TB NVMe SSD M.2 device per 8 vCPUs, with up to 19.2TB (10x1.92TB) available on the L80s v2.

Other sizes

Next steps

Learn more about how Azure compute units (ACU) can help you compare compute performance across Azure SKUs.

Learn how to optimize performance on the Lsv2-series virtual machines for Windows or Linux.

For more information on how Azure names its VMs, see Azure virtual machine sizes naming conventions.