'NV' sub-family GPU accelerated VM size series
Applies to: ✔️ Linux VMs ✔️ Windows VMs ✔️ Flexible scale sets ✔️ Uniform scale sets
The 'NV' family of VM size series are one of Azure's GPU-accelerated VM instances, specifically designed for graphics-intensive applications such as graphics rendering, simulation, and virtual desktops. Equipped with NVIDIA GPUs, NV-series VMs provide a robust platform for rendering and processing graphics-heavy tasks, making them ideal for organizations that require virtual workstations with powerful graphical capabilities. These VMs support scenarios where remote visualization, real-time collaboration, and 3D visualization are necessary, allowing users to efficiently run graphic-intensive applications directly from Azure's cloud environment.
Workloads and use cases
Virtual Desktop Infrastructure (VDI): NV-family VMs are well-suited for virtual desktops that require GPU capabilities for tasks such as graphic design, video editing, and CAD applications. They provide the graphical performance necessary for smooth operation in remote desktop scenarios.
3D Visualization: NV-family VMs are ideal for running 3D applications that demand high-performance rendering, such as architectural visualizations, medical imaging, and other professional-grade graphics tasks.
Remote Graphics Work: NV-series VMs are beneficial for industries that rely on graphics-intensive software, allowing professionals to access and use applications like Adobe Photoshop, Autodesk AutoCAD, or Dassault SOLIDWORKS remotely with near-native performance.
High-Resolution Image Processing: NV-series VMs are ideal for handling extremely large vRAM applications such as high-resolution image processing and analysis. This includes tasks in fields like geospatial analysis, satellite image processing, and professional photo editing, where handling massive image files and performing complex manipulations in real-time are crucial for productivity and performance.
Video Streaming: NV-family VMs are suitable for streaming high-resolution video content, including training videos and virtual events, ensuring high-quality delivery without local hardware constraints.
Series in family
NV-series V1
Important
NV and NV_Promo series Azure virtual machines (VMs) will be retired on September 6, 2023. For more information, see the NV and NV_Promo retirement information. For how to migrate your workloads to other VM sizes, see the NV and NV_Promo series migration guide.
This retirement announcement doesn't apply to NVv3 and NVv4 series VMs.
The NV-series virtual machines are powered by NVIDIA Tesla M60 GPUs and NVIDIA GRID technology for desktop accelerated applications and virtual desktops where customers are able to visualize their data or simulations. Users are 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. NV-series VMs are also powered by Intel Xeon E5-2690 v3 (Haswell) CPUs.
Each GPU in NV 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.
| Part | Quantity Count Units |
Specs SKU ID, Performance Units, etc. |
|---|---|---|
| Processor | 6 - 24 vCPUs | Intel Xeon E5-2690 v3 (Haswell) [x86-64] |
| Memory | 56 - 224 GiB | |
| Local Storage | 1 Disk | 340 - 1440 GiB |
| Remote Storage | 24 - 64 | |
| Network | 1 - 4 NICs | |
| Accelerators | 1/2 - 2 GPUs | Nvidia Tesla M60 GPU (16GB) |
NVv3-series
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.
View the full NVv3-series page.
| Part | Quantity Count Units |
Specs SKU ID, Performance Units, etc. |
|---|---|---|
| Processor | 12 - 48 vCPUs | Intel Xeon E5-2690 v4 (Broadwell) [x86-64] |
| Memory | 112 - 448 GiB | |
| Local Storage | 1 Disk | 320 - 1280 GiB |
| Remote Storage | 12 - 32 Disks | |
| Network | 4 - 8 NICs | 6000 - 24000 Mbps |
| Accelerators | 1 - 4 GPUs | Nvidia Tesla M60 GPU (16GB) |
NVv4-series
The NVv4-series virtual machines are powered by AMD Radeon Instinct MI25 GPUs and AMD EPYC 7V12(Rome) CPUs with a base frequency of 2.45GHz, all-cores peak frequency of 3.1GHz and single-core peak frequency of 3.3GHz. With NVv4-series Azure is introducing virtual machines with partial GPUs. 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 virtual machines currently support only Windows guest operating system.
View the full NVv4-series page.
| Part | Quantity Count Units |
Specs SKU ID, Performance Units, etc. |
|---|---|---|
| Processor | 4 - 32 vCPUs | AMD EPYC 7V12 (Rome) [x86-64] |
| Memory | 14 - 112 GiB | |
| Local Storage | 1 Disk | 88 - 704 GiB |
| Remote Storage | 4 - 32 Disks | 6400 - 51200 IOPS 96 - 768 MBps |
| Network | 2 - 8 NICs | 1000 - 8000 Mbps |
| Accelerators | 1/8 - 1 GPUs | AMD Instinct MI25 GPU (16GB) |
NVads-A10 v5-series
The NVadsA10v5-series virtual machines are powered by NVIDIA A10 GPUs and AMD EPYC 74F3V(Milan) CPUs with a base frequency of 3.2 GHz, all-cores peak frequency of 4.0 GHz. With NVadsA10v5-series Azure is introducing virtual machines with partial NVIDIA GPUs. Pick the right sized virtual machine for GPU accelerated graphics applications and virtual desktops starting at 1/6th of a GPU with 4-GiB frame buffer to a full A10 GPU with 24-GiB frame buffer. Each virtual machine instance in NVadsA10v5-series 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.
View the full NVads-A10 v5-series page.
| Part | Quantity Count Units |
Specs SKU ID, Performance Units, etc. |
|---|---|---|
| Processor | 6 - 72 vCPUs | AMD EPYC 74F3v (Milan) [x86-64] |
| Memory | 55 - 880 GiB | |
| Local Storage | 1 Disk | 180 - 2880 GiB |
| Remote Storage | 4 - 32 Disks | 6400 - 80000 IOPS 100 - 1200 MBps |
| Network | 1 - 8 NICs | 5000 - 80000 Mbps |
| Accelerators | 1/6 - 2 GPUs | Nvidia A10 GPU (24GB) |
NVads-v710 v5-series
The NVads V710 v5-series virtual machines are powered by AMD Radeon™ Pro V710 GPUs and AMD EPYC™ 9V64 F (Genoa) CPUs with a base frequency of 3.95 GHz and all-cores peak frequency of 4.3 GHz. VMs take advantage of the AMD Simultaneous Multithreading technology to assign dedicated vCPU threads to each VM. Both Windows and Linux VMs are supported.
The series provides five options ranging from 1/6 of a GPU with 4-GiB frame buffer to a full V710 GPU with 24-GiB frame buffer. No other GPU licensing is required for use of AMD GPU-based VMs. The NVads V710 v5 VMs also support NVMe for ephemeral local storage capability. The NVads V710 v5-series enables right-sizing for demanding GPU-accelerated graphics applications and cloud-based virtual desktops to provide a seamless end user experience while providing a cost-effective choice for a full range of graphics-enabled virtual desktop experiences. The VMs are also sized to deliver high-quality, interactive gaming experiences in the cloud, optimized for rendering and streaming complex graphics.
The NVads V710 v5-series virtual machines also support small to medium AI/ML inference workloads such as Small Language Model (SLMs), recommendation systems and semantic indexing, by taking advantage of the computational IP blocks in the Radeon Pro V710 GPUs.
View the full NVadsv710 v5-series page.
| Part | Quantity Count Units |
Specs SKU ID, Performance Units, etc. |
|---|---|---|
| Processor | 4 - 28 vCPUs | AMD EPYC 9V64 F (Genoa) [x86-64] |
| Memory | 16 - 160 GiB | |
| Local Storage | 2 - 14 Disks | 256 - 1536 GiB IOPS (RR) MBps (RR) |
| Remote Storage | 2 - 14 Disks | 7600 - 5320 IOPS 180 - 1260 MBps |
| Network | 2 - 8 NICs | 3300 - 20000 Mbps |
| Accelerators | None |
Previous-generation NV family series
For older sizes, see previous generation sizes.
Other size information
List of all available sizes: Sizes
Pricing Calculator: Pricing Calculator
Information on Disk Types: Disk Types
Next steps
Learn more about how Azure compute units (ACU) can help you compare compute performance across Azure SKUs.
Check out Azure Dedicated Hosts for physical servers able to host one or more virtual machines assigned to one Azure subscription.
Learn how to Monitor Azure virtual machines.