Optimized for in-memory hyper-threaded applicationsThe E-series Azure virtual machines are optimized for heavy in-memory applications such as SAP HANA. These VMs are configured with high memory-to-core ratios, which makes them well-suited for relational database servers, with medium to large caches, and in-memory analytics. The Ev3-series VMs range from 2 to 64 vCPUs and 16-432 GiB of RAM, respectively.
The Ea_v4 and Eas_v4 Azure VM-series feature AMD’s EPYC™ 7452 processor and also provide up to 96 vCPUs, 672 GiBs of RAM and 2,400 GiBs of SSD-based temporary storage.
The Es and the Eas VM series both support Azure Premium SSDs.
Example use cases include SAP HANA, SAP S/4 HANA, SQL Hekaton and other large in-memory business critical workloads.
Storage optimized virtual machinesThe latest Lsv2-series features high throughput, low latency, directly mapped local NVMe storage. The Lsv2 VMs run on the AMD EPYC™ 7551 processor with an all core boost of 2.55GHZ up to a 3.0GHz single core boost. The Lsv2 series VMs offer up to 80 vCPUs in a hyper-threaded configuration, with 8 GiB of memory per vCPU and up to 19.2TB (10x1.92TB) available directly to the VM.
The Ls-series VMs are storage optimized. These are ideal for applications requiring low latency, high throughput, and large local disk storage. These VMs are built on Intel Haswell processor technology, specifically E5 Xeon v3 processors with 4, 8, 16, and 32 core VM sizes. Ls-series VMs support up to 6 TB of local SSD and offer unmatched storage I/O performance.
Example use cases include NoSQL databases such as Cassandra, MongoDB, Cloudera, and Redis. Data warehousing applications and large transactional databases are great use cases as well.
Memory optimized virtual machinesThe M-series family of Azure virtual machines are memory optimized and are ideal for heavy in-memory workloads such as SAP HANA. The M-Series offer up to 4 TB of RAM on a single VM. In addition, these VMs offer a virtual CPU count of up to 128 vCPUs on a single VM to enable high performance parallel processing.
Example use cases include SAP HANA, SAP S/4 HANA, SQL Hekaton and other large in-memory business critical workloads requiring massive parallel compute power