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NVv4 系列NVv4-series

NVv4 系列虚拟机由 Amd Radeon INSTINCT MI25 GPU 和 Amd EPYC 7V12 ( (罗马) cpu)提供支持。The NVv4-series virtual machines are powered by AMD Radeon Instinct MI25 GPUs and AMD EPYC 7V12(Rome) CPUs. Azure 通过 NVv4 系列引入使用部分 GPU 的虚拟机。With NVv4-series Azure is introducing virtual machines with partial GPUs. 从 GPU 的 1/8 开始,为 GPU 加速图形应用程序和虚拟桌面选取适当大小的虚拟机,并将 2 GiB 帧缓冲到带有 16 GiB 帧缓冲区的完整 GPU。Pick the right sized virtual machine for GPU accelerated graphics applications and virtual desktops starting at 1/8th of a GPU with 2 GiB frame buffer to a full GPU with 16 GiB frame buffer. NVv4 虚拟机目前只支持 Windows 来宾操作系统。NVv4 virtual machines currently support only Windows guest operating system.


ACU:230-260ACU: 230-260
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:不支持Live Migration: Not Supported
内存保留更新:不支持Memory Preserving Updates: Not Supported
VM 代系支持:第 1 代和第 2 代VM Generation Support: Generation 1 and 2
加速网络:支持Accelerated Networking: Supported
临时 OS 磁盘:不支持Ephemeral OS Disks: Not Supported

大小Size vCPUvCPU 内存:GiBMemory: GiB 临时存储 (SSD) GiBTemp storage (SSD) GiB GPUGPU GPU 内存:GiBGPU memory: GiB 最大数据磁盘数Max data disks 最大 NIC 数/预期网络带宽 (MBps)Max NICs / Expected network bandwidth (MBps)
Standard_NV4as_v4Standard_NV4as_v4 44 1414 8888 1/81/8 22 44 2 / 10002 / 1000
Standard_NV8as_v4Standard_NV8as_v4 88 2828 176176 1/41/4 44 88 4 / 20004 / 2000
Standard_NV16as_v4Standard_NV16as_v4 1616 5656 352352 1/21/2 88 1616 8 / 40008 / 4000
Standard_NV32as_v4Standard_NV32as_v4 3232 112112 704704 11 1616 3232 8 / 80008 / 8000

1 NVv4 系列 VM 功能 AMD 并发多线程技术1 NVv4-series VMs feature AMD Simultaneous multithreading Technology

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.

  • 若要了解如何为 Vm 获得最佳存储性能,请参阅 虚拟机和磁盘性能To learn how to get the best storage performance for your VMs, see Virtual machine and disk performance.

  • 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).

支持的操作系统和驱动程序Supported operating systems and drivers

若要利用运行 Windows 的 Azure NVv4 系列 Vm 的 GPU 功能,必须安装 AMD GPU 驱动程序。To take advantage of the GPU capabilities of Azure NVv4-series VMs running Windows, AMD GPU drivers must be installed.

若要手动安装 AMD GPU 驱动程序,请参阅适用于 Windows 的 N 系列 AMD gpu 驱动程序设置 以获取支持的操作系统、驱动程序、安装和验证步骤。To install AMD GPU drivers manually, see N-series AMD GPU driver setup for Windows for supported operating systems, drivers, installation, and verification steps.

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.