Dv2 和 DSv2 系列Dv2 and DSv2-series

Dv2 和 Dsv2 系列是原 D 系列的后续产品,具有更强大的 CPU 和最优 CPU 到内存配置,使其适合于大多数生产工作负荷。The Dv2 and Dsv2-series, a follow-on to the original D-series, feature a more powerful CPU and optimal CPU-to-memory configuration making them suitable for most production workloads. Dv2 系列比 D 系列快大约 35%。The Dv2-series is about 35% faster than the D-series. Dv2 系列在采用 Intel Turbo Boost Technology 2.0 的 Intel® Xeon® Platinum 8272CL (Cascade Lake)、Intel® Xeon® 8171M 2.1GHz (Skylake)、Intel® Xeon® E5-2673 v4 2.3 GHz (Broadwell) 或 Intel® Xeon® E5-2673 v3 2.4 GHz (Haswell) 处理器上运行。Dv2-series run on Intel® Xeon® Platinum 8272CL (Cascade Lake), Intel® Xeon® 8171M 2.1GHz (Skylake), Intel® Xeon® E5-2673 v4 2.3 GHz (Broadwell), or the Intel® Xeon® E5-2673 v3 2.4 GHz (Haswell) processors with the Intel Turbo Boost Technology 2.0. Dv2 系列的内存和磁盘配置与 D 系列相同。The Dv2-series has the same memory and disk configurations as the D-series.

Dv2 系列Dv2-series

Dv2 系列大小在采用 Intel Turbo Boost Technology 2.0的 Intel® Xeon® Platinum 8272CL (Cascade Lake)、Intel® Xeon® 8171M 2.1GHz (Skylake)、Intel® Xeon® E5-2673 v4 2.3 GHz (Broadwell) 或 Intel® Xeon® E5-2673 v3 2.4 GHz (Haswell) 处理器上运行。Dv2-series sizes run on Intel® Xeon® Platinum 8272CL (Cascade Lake), Intel® Xeon® 8171M 2.1GHz (Skylake) or the the Intel® Xeon® E5-2673 v4 2.3 GHz (Broadwell) or the Intel® Xeon® E5-2673 v3 2.4 GHz (Haswell) processors with Intel Turbo Boost Technology 2.0.

ACU:210-250ACU: 210-250

高级存储:不支持Premium Storage: Not Supported

高级存储缓存:不支持Premium Storage caching: Not Supported

实时迁移:支持Live Migration: Supported

内存保留更新:支持Memory Preserving Updates: Supported

大小Size vCPUvCPU 内存:GiBMemory: GiB 临时存储 (SSD) GiBTemp storage (SSD) GiB 最大临时存储吞吐量:IOPS/读取 MBps/写入 MBpsMax temp storage throughput: IOPS/Read MBps/Write MBps 最大数据磁盘数Max data disks 吞吐量:IOPSThroughput: IOPS 最大 NIC 数/预期网络带宽 (Mbps)Max NICs/Expected network bandwidth (Mbps)
Standard_D1_v2Standard_D1_v2 11 3.53.5 5050 3000/46/233000/46/23 44 4x5004x500 2/7502/750
Standard_D2_v2Standard_D2_v2 22 77 100100 6000/93/466000/93/46 88 8x5008x500 2/15002/1500
Standard_D3_v2Standard_D3_v2 44 1414 200200 12000/187/9312000/187/93 1616 16x50016x500 4/30004/3000
Standard_D4_v2Standard_D4_v2 88 2828 400400 24000/375/18724000/375/187 3232 32x50032x500 8/60008/6000
Standard_D5_v2Standard_D5_v2 1616 5656 800800 48000/750/37548000/750/375 6464 64x50064x500 8/120008/12000

DSv2 系列DSv2-series

DSv2 系列大小在采用 Intel Turbo Boost Technology 2.0 的 Intel® Xeon® Platinum 8272CL (Cascade Lake)、Intel® Xeon® 8171M 2.1GHz (Skylake)、Intel® Xeon® E5-2673 v4 2.3 GHz (Broadwell) 或 Intel® Xeon® E5-2673 v3 2.4 GHz (Haswell) 处理器上运行,并使用高级存储。DSv2-series sizes run on Intel® Xeon® Platinum 8272CL (Cascade Lake), Intel® Xeon® 8171M 2.1GHz (Skylake) or the the Intel® Xeon® E5-2673 v4 2.3 GHz (Broadwell) or the Intel® Xeon® E5-2673 v3 2.4 GHz (Haswell) processors with Intel Turbo Boost Technology 2.0 and use premium storage.

ACU:210-250ACU: 210-250

高级存储:支持Premium Storage: Supported

高级存储缓存:支持Premium Storage caching: Supported

实时迁移:支持Live Migration: Supported

内存保留更新:支持Memory Preserving Updates: Supported

大小Size vCPUvCPU 内存:GiBMemory: GiB 临时存储 (SSD) GiBTemp storage (SSD) GiB 最大数据磁盘数Max data disks 最大缓存吞吐量和临时存储吞吐量:IOPS/MBps(以 GiB 为单位的缓存大小)Max cached and temp storage throughput: IOPS/MBps (cache size in GiB) 最大非缓存磁盘吞吐量:IOPS/MBpsMax uncached disk throughput: IOPS/MBps 最大 NIC 数/预期网络带宽 (Mbps)Max NICs/Expected network bandwidth (Mbps)
Standard_DS1_v2Standard_DS1_v2 11 3.53.5 77 44 4000/32 (43)4000/32 (43) 3200/483200/48 2/7502/750
Standard_DS2_v2Standard_DS2_v2 22 77 1414 88 8000/64 (86)8000/64 (86) 6400/966400/96 2/15002/1500
Standard_DS3_v2Standard_DS3_v2 44 1414 2828 1616 16000/128 (172)16000/128 (172) 12800/19212800/192 4/30004/3000
Standard_DS4_v2Standard_DS4_v2 88 2828 5656 3232 32000/256 (344)32000/256 (344) 25600/38425600/384 8/60008/6000
Standard_DS5_v2Standard_DS5_v2 1616 5656 112112 6464 64000/512 (688)64000/512 (688) 51200/76851200/768 8/120008/12000

大小表定义Size table definitions

  • 存储容量的单位为 GiB 或 1024^3 字节。Storage capacity is shown in units of GiB or 1024^3 bytes. 比较以 GB(1000^3 字节)为单位的磁盘与以 GiB(1024^3 字节)为单位的磁盘时,请记住以 GiB 为单位的容量数显得更小。When you compare disks measured in GB (1000^3 bytes) to disks measured in GiB (1024^3) remember that capacity numbers given in GiB may appear smaller. 例如,1023 GiB = 1098.4 GB。For example, 1023 GiB = 1098.4 GB.

  • 磁盘吞吐量的单位为每秒输入/输出操作数 (IOPS) 和 MBps,其中 MBps = 10^6 字节/秒。Disk throughput is measured in input/output operations per second (IOPS) and MBps where MBps = 10^6 bytes/sec.

  • 数据磁盘可以在缓存或非缓存模式下运行。Data disks can operate in cached or uncached modes. 对于缓存数据磁盘操作,主机缓存模式设置为 ReadOnlyReadWriteFor cached data disk operation, the host cache mode is set to ReadOnly or ReadWrite. 对于非缓存数据磁盘操作,主机缓存模式设置为 NoneFor uncached data disk operation, the host cache mode is set to None.

  • 若要获得 VM 的最佳性能,应将数据磁盘数限制为每 vCPU 2 个磁盘。If you want to get the best performance for your VMs, you should limit the number of data disks to two disks per vCPU.

  • 预期的网络带宽是指跨所有 NIC 为每个 VM 类型分配的最大聚合带宽,适用于所有目标。Expected network bandwidth is the maximum aggregated bandwidth allocated per VM type across all NICs, for all destinations. 有关详细信息,请参阅虚拟机网络带宽For more information, see Virtual machine network bandwidth.

    无法保证上限。Upper limits aren't guaranteed. 限值用于在为目标应用程序选择适当的 VM 类型时提供指导。Limits offer guidance for selecting the right VM type for the intended application. 实际的网络性能将取决于多种因素,包括网络拥塞、应用程序负载和网络设置。Actual network performance will depend on several factors including network congestion, application loads, and network settings. 有关如何优化网络吞吐量的信息,请参阅为 Azure 虚拟机优化网络吞吐量For information on optimizing network throughput, see Optimize network throughput for Azure virtual machines. 若要在 Linux 或 Windows 中达到预期的网络性能,可能需要选择特定版本,或者需要优化 VM。To achieve the expected network performance on Linux or Windows, you may need to select a specific version or optimize your VM. 有关详细信息,请参阅带宽/吞吐量测试 (NTTTCP)For more information, see Bandwidth/Throughput testing (NTTTCP).

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.