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存储优化虚拟机大小Storage optimized virtual machine sizes

存储优化 VM 大小可提供较高的磁盘吞吐量和 IO,非常适合于大数据、SQL、NoSQL 数据库、数据仓库和大型事务数据库。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. 示例包括 Cassandra、MongoDB、Cloudera 和 Redis。Examples include Cassandra, MongoDB, Cloudera, and Redis. 本文介绍 vCPU、数据磁盘和 NIC 的数量以及每个优化大小的本地存储吞吐量和网络带宽。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.

Lsv2 系列的特点为:高吞吐量、低延迟、在 AMD EPYCTM 7551 处理器上运行的直接映射的本地 NVMe 存储、所有核心提升为 2.55GHz、最大提升为 3.0GHz。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. Lsv2 系列 VM 提供同时进行的多线程配置中的 8 到 80 个 vCPU。The Lsv2-series VMs come in sizes from 8 to 80 vCPU in a simultaneous multi-threading configuration. 每个 vCPU 有 8 GiB 内存,每 8 个 vCPU 有一个 1.92TB 的 NVMe SSD M.2 设备,并且在 L80s v2 上可以使用最多 19.2TB (10x1.92TB)。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.

其他大小Other sizes

后续步骤Next steps

了解有关 Azure 计算单元 (ACU) 如何帮助跨 Azure SKU 比较计算性能的详细信息。Learn more about how Azure compute units (ACU) can help you compare compute performance across Azure SKUs.

了解如何针对 WindowsLinux 优化 Lsv2 系列虚拟机上的性能。Learn how to optimize performance on the Lsv2-series virtual machines for Windows or Linux.

有关 Azure 如何命名其 VM 的详细信息,请参阅 Azure 虚拟机大小命名约定For more information on how Azure names its VMs, see Azure virtual machine sizes naming conventions.