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cloud desktop H Series virtual machine

High Performance Computing virtual machines
The HB-series VMs are optimized for HPC applications driven by memory bandwidth, such as fluid dynamics, explicit finite element analysis, and weather modeling. HB VMs feature 60 AMD EPYC 7551 processor cores, 4 GB of RAM per CPU core, no hyperthreading, and up to 4 Managed Disks. The AMD EPYC platform provides more than 260 GB/sec of memory bandwidth.

The HC-series VMs are optimized for HPC applications driven by intensive computation, such as implicit finite element analysis, reservoir simulation, and computational chemistry. HC VMs feature 44 Intel Xeon Platinum 8168 processor cores, 8 GB of RAM per CPU core, no hyperthreading, and up to 4 Managed Disks. The Intel Xeon Platinum platform supports Intel’s rich ecosystem of software tools and features an all-cores clock speed of 3.4 GHz for most workloads.

Example use cases include fluid dynamics, finite element analysis, seismic processing, reservoir simulation, risk analysis, electronic design automation, rendering, Spark, weather modeling, quantum simulation, computational chemistry, heat transfer simulation.

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cloud desktop F Series virtual machine

Compute optimized virtual machines
F-series VMs feature a higher CPU-to-memory ratio. They are equipped with 2 GB RAM and 16 GB of local solid state drive (SSD) per CPU core, and are optimized for compute intensive workloads. The Fsv2-series features 2 GiB RAM and 8 GB of local temporary storage (SSD) per vCPU. The Fsv2-series is hyper-threaded and based on the 2.7 GHz Intel Xeon® Platinum 8168 (SkyLake) processor, which can achieve clock speeds as high as 3.7 GHz with the Intel Turbo Boost Technology 2.0.

Example use cases include batch processing, web servers, analytics, and gaming.

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cloud desktop Ls Series virtual machine

Storage optimized virtual machines
The 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.

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cloud desktop M Series virtual machine

Memory optimized virtual machines
The 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

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cloud desktop Mv2 Series virtual machine

Largest memory optimized virtual machines
The Azure Mv2-series virtual machines are hyper-threaded and feature Intel® Xeon® Platinum 8180M 2.5GHz (Skylake) processors, offering up to 416 vCPU on a single VM and offer 3TB, 6 TB and 12 TB memory configurations. This is by far the largest-memory virtual machine offered on Azure and provide unparalleled computational performance to support large in-memory databases.

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.

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cloud desktop Bs Series virtual machine

Economical burstable VMs
Bs-series are economical virtual machines that provide a low-cost option for workloads that typically run at a low to moderate baseline CPU utilization, but sometimes need to burst to significantly higher CPU utilization when the demand rises.

Example use cases include development and test servers, low-traffic web servers, small databases, micro services, servers for proof-of-concepts, build servers.