The NC and NV sizes are also known as GPU-enabled instances. These are specialized virtual machines that include NVIDIA's GPU cards, optimized for different scenarios and use cases. The NV sizes are optimized and designed for remote visualization, streaming, gaming, encoding and VDI scenarios utilizing frameworks such as OpenGL and DirectX. The NC sizes are more optimized for compute-intensive and network-intensive applications and algorithms, including CUDA- and OpenCL-based applications and simulations.

The NV instances are powered by NVIDIA’s Tesla M60 GPU card and NVIDIA GRID for desktop accelerated applications and virtual desktops where customers will be able to visualize their data or simulations. Users will be able to visualize their graphics intensive workflows on the NV instances to get superior graphics capability and additionally run single precision workloads such as encoding and rendering. The Tesla M60 delivers 4096 CUDA cores in a dual-GPU design with up to 36 streams of 1080p H.264.

The NC instances are powered by NVIDIA’s Tesla K80 card. Users can now crunch through data much faster by leveraging CUDA for energy exploration applications, crash simulations, ray traced rendering, deep learning and more. The Tesla K80 delivers 4992 CUDA cores with a dual-GPU design, up to 2.91 Teraflops of double-precision and up to 8.93 Teraflops of single-precision performance.

NV instances

Size CPU cores Memory: GiB Local SSD: GiB GPU Maximum data disks
Standard_NV6 6 56 380 1 8
Standard_NV12 12 112 680 2 16
Standard_NV24 24 224 1440 4 32

1 GPU = one-half M60 card.

NC instances

Size CPU cores Memory: GiB Local SSD: GiB GPU Maximum data disks
Standard_NC6 6 56 380 1 8
Standard_NC12 12 112 680 2 16
Standard_NC24 24 224 1440 4 32
Standard_NC24r* 24 224 1440 4 32

1 GPU = one-half K80 card.

*RDMA capable

Supported operating systems

For supported operating systems and driver requirements, see N-series driver setup for Windows.

Size table definitions

  • Storage capacity is shown in units of GiB or 1024^3 bytes. When comparing 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.
  • Maximum network bandwidth is the maximum aggregated bandwidth allocated and assigned per VM type. The maximum bandwidth provides guidance for selecting the right VM type to ensure adequate network capacity is available. When moving between Low, Moderate, High and Very High, the throughput will increase accordingly. Actual network performance will depend on many factors including network and application loads, and application network settings.

General considerations for N-series VMs

  • For availability of N-series VMs, see Products available by region.

  • N-series VMs can only be deployed in the Resource Manager deployment model.

  • When creating an N-series VM using the Azure portal, on the Basics blade, select a VM disk type of HDD. To choose an available N-series size, on the Size blade, click View all.

  • N-series VMs do not support VM disks that are backed by Azure premium storage.

  • If you want to deploy more than a few N-series VMs, consider a pay-as-you-go subscription or other purchase options. If you're using an Azure free account, you can use only a limited number of Azure compute cores.

  • You might need to increase the cores quota (per region) in your Azure subscription and the separate quota for NC or NV cores. To request a quota increase, open an online customer support request at no charge. Default limits may vary depending on your subscription category.

Other sizes

Next steps

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