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Create article nvv3-retirement
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articles/virtual-machines/TOC.yml

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href: nv-series-migration-guide.md
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- name: NVv3 series
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href: ./sizes/gpu-accelerated/nvv3-series.md
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- name: NVv3 series retirement
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href: ./sizes/gpu-accelerated/nvv3-series-retirement.md
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- name: NVv4 series
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href: ./sizes/gpu-accelerated/nvv4-series.md
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- name: NVv4 series retirement
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---
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# Required metadata
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# For more information, see https://learn.microsoft.com/en-us/help/platform/learn-editor-add-metadata
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# For valid values of ms.service, ms.prod, and ms.topic, see https://learn.microsoft.com/en-us/help/platform/metadata-taxonomies
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title: NVv3 series retirement
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description: 'This article contains the details of the NVv3-series retirement. '
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author: yangnicole-ml # GitHub alias
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ms.author: yangnicole
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ms.service: azure-virtual-machines
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ms.topic: article
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ms.date: 06/13/2025
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---
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# Migrate your NVv3-series virtual machines by September 30, 2026
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> [!NOTE]
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> 1-year and 3-year RI purchases for the NVv3-series will end September 30, 2025.
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On September 30, 2026, Microsoft Azure will retire the Standard_NV12s_v3, Standard_NV24s_v3, Standard_NV24ms_v3, Standard_NV32ms_v3, and Standard_NV48s_v3 virtual machines (VMs) in the NVv3-series virtual machines (VMs). To avoid any disruptions to your service, we recommend that you change the VM sizing for your workloads from the current NVv3-series VMs to the newer VM series in the same NV product line.
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Microsoft is recommending the Azure [NVadsA10_v5-series](/azure/virtual-machines/sizes/gpu-accelerated/nvadsa10v5-series?tabs=sizebasic) VMs, which offer greater GPU memory bandwidth per GPU. With the NVadsA10_v5-series VMs, Azure introduces VMs with partial NVIDIA GPUs and each VM instance 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. These VMs are targeted for GPU accelerated graphics applications, virtual desktops, visualizations, or small AI workloads.
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Depending on the workload being run, regional affinity, and cost preferences, other VMs that may be migrated to from the NVv3-series VMs include [NCasT4_v3](/azure/virtual-machines/sizes/gpu-accelerated/ncast4v3-series?tabs=sizebasic) and [NVadsV710_v5](/azure/virtual-machines/sizes/gpu-accelerated/nvadsv710-v5-series?tabs=sizebasic):
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|Workload|Recommended SKU to Migrate to|
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| -------- | -------- |
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|GPU accelerated graphics applications, virtual desktops, visualizations, or small AI workloads. |NVadsA10_v5|
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|Offline inferencing workloads where latency is not a primary concern, and there is an interest in purchasing smaller VM SKUs or reducing costs. |NCasT4_v3|
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|Graphics, visualization, or small AI workloads such as SLM inferencing and semantic search where optimal performance is not a priority or there is an interest in reducing costs.|NVadsV710_v5|
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## How does the retirement of the NVv3-series virtual machines affect me?
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**After September 30th, 2026, any remaining NVv3-series virtual machines (VMs) subscriptions will be set to a deallocated state. They'll stop working and no longer incur billing charges. NVv3 will no longer be under SLA or have support included.**
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> [!NOTE]
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> This retirement only impacts the virtual machine sizes in the NVv3-series powered by NVIDIA Tesla M60 GPUs. For NVv4-series virtual machines, please refer to the NVv4-series virtual machines retirement guide. This retirement announcement does not apply to NVadsA10_v5 or NVadsV710_v5 series virtual machines.
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## What action do I need to take before the retirement date?
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You need to resize or deallocate your NVv3-series VMs. We recommend that you change VM sizes for these workloads from the original NVv3-series VMs to the NVadsA10_v5-series VMs (or an alternative).
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The [NVadsA10_v5-series](/azure/virtual-machines/sizes/gpu-accelerated/nvadsa10v5-series?tabs=sizebasic) is powered by NVIDIA A10 GPUs and AMD EPYC™ 74F3V(Milan) processors. The VMs feature up to 2 NVIDIA A10 GPUs with 24GB memory each, up to 72 non-multithreaded AMD EPYC 74F3V processor cores and 880 GiB of system memory. Check [Azure Regions by Product page](https://azure.microsoft.com/explore/global-infrastructure/products-by-region/) for region availability. Visit the [Azure Virtual Machine pricing page](https://azure.microsoft.com/pricing/details/virtual-machines/) for pricing information.
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## Steps to change VM size
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1. Choose a series and size. Refer to the above tables for Microsoft’s recommendation. You can also file a support request if more assistance is needed.
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1. [Request quota for the new target VM](/azure/azure-portal/supportability/per-vm-quota-requests).
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1. You can [resize the virtual machine](/azure/virtual-machines/resize-vm).
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## Help and support
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If you have a support plan and you need technical help, create a [support request](https://portal.azure.com/).
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1. Under *Issue type*, select **Technical**.
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1. Under *Subscription*, select your subscription.
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1. Under *Service*, click **My services**.
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1. Under *Service type*, select **Virtual Machine running Windows/Linux**.
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1. Under *Summary*, enter the summary of your request.
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1. Under *Problem type*, select **Assistance with resizing my VM.**
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1. Under *Problem subtype*, select the option that applies to you.
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