NVv3-series

Applies to: ✔️ Linux VMs ✔️ Windows VMs ✔️ Flexible scale sets ✔️ Uniform scale sets

The NVv3-series virtual machines are powered by NVIDIA Tesla M60 GPUs and NVIDIA GRID technology with Intel E5-2690 v4 (Broadwell) CPUs and Intel Hyper-Threading Technology. These virtual machines are targeted for GPU accelerated graphics applications and virtual desktops where customers want to visualize their data, simulate results to view, work on CAD, or render and stream content. Additionally, these virtual machines can run single precision workloads such as encoding and rendering. NVv3 virtual machines support Premium Storage and come with twice the system memory (RAM) when compared with its predecessor NV-series.

Each GPU in NVv3 instances comes with a GRID license. This license gives you the flexibility to use an NV instance as a virtual workstation for a single user, or 25 concurrent users can connect to the VM for a virtual application scenario.

Premium Storage: Supported
Premium Storage caching: Supported
Ultra Disks: Supported (Learn more about availability, usage and performance)
Live Migration: Not Supported
Memory Preserving Updates: Not Supported
VM Generation Support: Generation 1 and 2
Accelerated Networking: Supported
Ephemeral OS Disks: Supported

Size vCPU Memory: GiB Temp storage (SSD) GiB GPU GPU memory: GiB Max data disks Max uncached disk throughput: IOPS/MBps Max NICs / Expected network bandwidth (Mbps) Virtual Workstations Virtual Applications
Standard_NV12s_v3 12 112 320 1 8 12 20000/200 4 / 6000 1 25
Standard_NV24s_v3 24 224 640 2 16 24 40000/400 8 / 12000 2 50
Standard_NV48s_v3 48 448 1280 4 32 32 80000/800 8 / 24000 4 100

1 1 GPU = one-half M60 card.

Supported operating systems and drivers

To take advantage of the GPU capabilities of Azure N-series VMs, NVIDIA GPU drivers must be installed.

The NVIDIA GPU Driver Extension installs appropriate NVIDIA CUDA or GRID drivers on an N-series VM. Install or manage the extension using the Azure portal or tools such as Azure PowerShell or Azure Resource Manager templates. See the NVIDIA GPU Driver Extension documentation for supported operating systems and deployment steps. For general information about VM extensions, see Azure virtual machine extensions and features.

If you choose to install NVIDIA GPU drivers manually, see N-series GPU driver setup for Windows or N-series GPU driver setup for Linux for supported operating systems, drivers, installation, and verification steps.

Size table definitions

  • Storage capacity is shown in units of GiB or 1024^3 bytes. 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. For example, 1023 GiB = 1098.4 GB.

  • Disk throughput is measured in input/output operations per second (IOPS) and MBps where MBps = 10^6 bytes/sec.

  • Data disks can operate in cached or uncached modes. For cached data disk operation, the host cache mode is set to ReadOnly or ReadWrite. For uncached data disk operation, the host cache mode is set to None.

  • To learn how to get the best storage performance for your VMs, see Virtual machine and disk performance.

  • Expected network bandwidth is the maximum aggregated bandwidth allocated per VM type across all NICs, for all destinations. For more information, see Virtual machine network bandwidth.

    Upper limits aren't guaranteed. Limits offer guidance for selecting the right VM type for the intended application. Actual network performance will depend on several factors including network congestion, application loads, and network settings. For information on optimizing network throughput, see Optimize network throughput for Azure virtual machines. To achieve the expected network performance on Linux or Windows, you may need to select a specific version or optimize your VM. For more information, see Bandwidth/Throughput testing (NTTTCP).

Other sizes and information

Pricing Calculator : Pricing Calculator

For more information on disk types, see What disk types are available in Azure?

Next steps

Learn more about how Azure compute units (ACU) can help you compare compute performance across Azure SKUs.