Storage Optimized Vm Series Is Ideal For Medium To Large Caches

This article provides information about the number of vcpus data disks and nics as well as storage throughput and network bandwidth for each size in this grouping.

Storage optimized vm series is ideal for medium to large caches.

L series ls lsv2 lsv2. Great for relational database servers medium to large caches and in memory analytics. These vms are set up with high memory to core ratios which makes them well suited for relational database servers with medium to large caches and in memory analytics. Great for relational database servers medium to large caches and in memory analytics.

The m series family of azure virtual machines are memory optimized and are ideal for heavy in memory workloads such as sap hana. These vms are designed to have high disk throughput and io. Specialized virtual machines targeted for heavy graphic rendering and video editing. The m series offer up to 4 tb of ram on a single vm.

High disk throughput and io. This is a best value in a price performance and azure portal based on azure compute units which are acus. Great for relational database servers medium to large caches and in memory analytics. High disk throughput and io ideal for big data sql nosql databases data warehousing and large transactional databases.

Storage optimized virtual machine sizes. High disk throughput and io. 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. Available with single or multiple gpus.

Examples include cassandra mongodb cloudera and redis. Ideal for big data sql nosql databases data warehousing and large transactional databases. Specialized virtual machines targeted for heavy graphic rendering and video editing. Available with single or multiple gpus.

The fv2 series are based on intel xeon platinum 8168 processors. Azure e series optimized for in memory hyper threaded applications the e series family of azure virtual machines are optimized for heavy in memory applications such as sap hana. Ideal for big data sql and nosql databases. Medium to large caches and in memory analytics.

Azure has segmented its compute offering in several virtual machine types or series which represent a group of sizes with a similar compute purpose. In addition these vms offer a virtual cpu count of up to 128 vcpus on a single vm to enable high performance parallel processing. Ideal for vms running databases. Hc series vms are optimized for applications driven by dense computation such as implicit finite element analysis molecular dynamics and computational chemistry.

Ideal for big data sql and nosql databases. Gpu vms are specialized virtual machines targeted for heavy graphics rendering and video editing.