Applies to: ✔️ Linux VMs ✔️ Windows VMs ✔️ Flexible scale sets ✔️ Uniform scale sets
NCv3-series VMs are powered by NVIDIA Tesla V100 GPUs. These GPUs can provide 1.5x the computational performance of the NCv2-series. Customers can take advantage of these updated GPUs for traditional HPC workloads such as reservoir modeling, DNA sequencing, protein analysis, Monte Carlo simulations, and others. The NC24rs v3 configuration provides a low latency, high-throughput network interface optimized for tightly coupled parallel computing workloads. In addition to the GPUs, the NCv3-series VMs are also powered by Intel Xeon E5-2690 v4 (Broadwell) CPUs.
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: Not Supported
Ephemeral OS Disks: Supported
Nvidia NVLink Interconnect: Not Supported
Nested Virtualization: Not Supported
For this VM series, the vCPU (core) quota in your subscription is initially set to 0 in each region. Request a vCPU quota increase for this series in an available region. These SKUs aren't available to trial or Visual Studio Subscriber Azure subscriptions. Your subscription level might not support selecting or deploying these SKUs.
|Size||vCPU||Memory: GiB||Temp storage (SSD) GiB||GPU||GPU memory: GiB||Max data disks||Max uncached disk throughput: IOPS/MBps||Max NICs|
1 GPU = one V100 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
- General purpose
- Memory optimized
- Storage optimized
- GPU optimized
- High performance compute
- Previous generations
Pricing Calculator : Pricing Calculator
For more information on disk types, see What disk types are available in Azure?
Learn more about how Azure compute units (ACU) can help you compare compute performance across Azure SKUs.