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articles/virtual-machines/sizes/fpga-accelerated/np-series.md

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**Q:** How to request quota for NP VMs?
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**A:** Follow this page [Increase VM-family vCPU quotas](../azure-portal/supportability/per-vm-quota-requests.md). NP VMs are available in East US, West US2, SouthCentral US, West Europe, SouthEast Asia, Japan East, and Canada Central.
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**A:** Follow this page [Increase VM-family vCPU quotas](../../../azure-portal/supportability/per-vm-quota-requests.md). NP VMs are available in East US, West US2, SouthCentral US, West Europe, SouthEast Asia, Japan East, and Canada Central.
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**Q:** What version of Vitis should I use?
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**A:** Xilinx recommends [Vitis 2022.1](https://www.xilinx.com/products/design-tools/vitis/vitis-platform.html), you can also use the Development VM marketplace options (Vitis 2022.1 Development VM for Ubuntu 18.04, Ubuntu 20.04, and CentOS 7.8)
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**Q:** Do I need to use NP VMs to develop my solution?
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**A:** No, you can develop on-premises and deploy to the cloud. Make sure to follow the [attestation documentation](./field-programmable-gate-arrays-attestation.md) to deploy on NP VMs.
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**A:** No, you can develop on-premises and deploy to the cloud. Make sure to follow the [attestation documentation](../../field-programmable-gate-arrays-attestation.md) to deploy on NP VMs.
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**Q:** What shell version is supported and how can I get the development files?
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articles/virtual-machines/sizes/gpu-accelerated/includes/ncv2-series-summary.md

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---
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> [!IMPORTANT]
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> NCv2 series Azure virtual machines (VMs) will be retired on September 6, 2023. For more information, see the [NCv2 retirement information](ncv2-series-retirement.md). For how to migrate your workloads to other VM sizes, see the [GPU compute migration guide](n-series-migration.md).
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> NCv2 series Azure virtual machines (VMs) will be retired on September 6, 2023. For more information, see the [NCv2 retirement information](../../../ncv2-series-retirement.md). For how to migrate your workloads to other VM sizes, see the [GPU compute migration guide](../../../n-series-migration.md).
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>
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> This retirement announcement doesn't apply to NCv3, NCasT4v3 and NC A100 v4 series VMs.
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articles/virtual-machines/sizes/gpu-accelerated/includes/ncv3-series-summary.md

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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.
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> [!IMPORTANT]
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> For this VM series, the vCPU (core) quota in your subscription is initially set to 0 in each region. [Request a vCPU quota increase](../azure-portal/supportability/regional-quota-requests.md) for this series in an [available region](https://azure.microsoft.com/regions/services/). These SKUs aren't available to trial or Visual Studio Subscriber Azure subscriptions. Your subscription level might not support selecting or deploying these SKUs.
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> For this VM series, the vCPU (core) quota in your subscription is initially set to 0 in each region. [Request a vCPU quota increase](../../../../azure-portal/supportability/regional-quota-requests.md) for this series in an [available region](https://azure.microsoft.com/regions/services/). These SKUs aren't available to trial or Visual Studio Subscriber Azure subscriptions. Your subscription level might not support selecting or deploying these SKUs.
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>
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articles/virtual-machines/sizes/gpu-accelerated/includes/ndasra100v4-series-summary.md

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---
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The ND A100 v4 series virtual machine(VM) is a new flagship addition to the Azure GPU family. It's designed for high-end Deep Learning training and tightly coupled scale-up and scale-out HPC workloads.
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The ND A100 v4 series virtual machine(VM) is a new flagship addition to the Azure GPU family. These sizes are designed for high-end Deep Learning training and tightly coupled scale-up and scale-out HPC workloads.
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The ND A100 v4 series starts with a single VM and eight NVIDIA Ampere A100 40GB Tensor Core GPUs. ND A100 v4-based deployments can scale up to thousands of GPUs with an 1.6 TB/s of interconnect bandwidth per VM. Each GPU within the VM is provided with its own dedicated, topology-agnostic 200 GB/s NVIDIA Mellanox HDR InfiniBand connection. These connections are automatically configured between VMs occupying the same VM scale set, and support GPUDirect RDMA.
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The ND A100 v4 series starts with a single VM and eight NVIDIA Ampere A100 40GB Tensor Core GPUs. ND A100 v4-based deployments can scale up to thousands of GPUs with an 1.6 TB/s of interconnect bandwidth per VM. Each GPU within the VM is provided with its own dedicated, topology-agnostic 200 GB/s NVIDIA Mellanox HDR InfiniBand connection. These connections are automatically configured between VMs occupying the same Azure Virtual Machine Scale Set, and support GPU Direct RDMA.
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Each GPU features NVLINK 3.0 connectivity for communication within the VM, and the instance is backed by 96 physical 2nd-generation AMD Epyc™ 7V12 (Rome) CPU cores.
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Each GPU features NVLINK 3.0 connectivity for communication within the VM with 96 physical 2nd-generation AMD Epyc™ 7V12 (Rome) CPU cores behind them.
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These instances provide excellent performance for many AI, ML, and analytics tools that support GPU acceleration 'out-of-the-box,' such as TensorFlow, Pytorch, Caffe, RAPIDS, and other frameworks. Additionally, the scale-out InfiniBand interconnect is supported by a large set of existing AI and HPC tools that are built on NVIDIA's NCCL2 communication libraries for seamless clustering of GPUs.
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These instances provide excellent performance for many AI, ML, and analytics tools that support GPU acceleration 'out-of-the-box,' such as TensorFlow, Pytorch, Caffe, RAPIDS, and other frameworks. Additionally, the scale-out InfiniBand interconnect supports a large set of existing AI and HPC tools that are built on NVIDIA's NCCL2 communication libraries for seamless clustering of GPUs.
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articles/virtual-machines/sizes/gpu-accelerated/includes/ndma100v4-series-summary.md

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The NDm A100 v4 series virtual machine(VM) is a new flagship addition to the Azure GPU family. It's designed for high-end Deep Learning training and tightly coupled scale-up and scale-out HPC workloads.
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The NDm A100 v4 series virtual machine(VM) is a new flagship addition to the Azure GPU family. These sizes are designed for high-end Deep Learning training and tightly coupled scale-up and scale-out HPC workloads.
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The NDm A100 v4 series starts with a single VM and eight NVIDIA Ampere A100 80GB Tensor Core GPUs. NDm A100 v4-based deployments can scale up to thousands of GPUs with an 1.6 TB/s of interconnect bandwidth per VM. Each GPU within the VM is provided with its own dedicated, topology-agnostic 200 GB/s NVIDIA Mellanox HDR InfiniBand connection. These connections are automatically configured between VMs occupying the same VM scale set, and support GPUDirect RDMA.
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The NDm A100 v4 series starts with a single VM and eight NVIDIA Ampere A100 80GB Tensor Core GPUs. NDm A100 v4-based deployments can scale up to thousands of GPUs with an 1.6 TB/s of interconnect bandwidth per VM. Each GPU within the VM is provided with its own dedicated, topology-agnostic 200 GB/s NVIDIA Mellanox HDR InfiniBand connection. These connections are automatically configured between VMs occupying the same Azure Virtual Machine Scale Set, and support GPU Direct RDMA.
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Each GPU features NVLINK 3.0 connectivity for communication within the VM, and the instance is backed by 96 physical 2nd-generation AMD Epyc™ 7V12 (Rome) CPU cores.
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Each GPU features NVLINK 3.0 connectivity for communication within the VM with 96 physical 2nd-generation AMD Epyc™ 7V12 (Rome) CPU cores behind them.
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These instances provide excellent performance for many AI, ML, and analytics tools that support GPU acceleration 'out-of-the-box,' such as TensorFlow, Pytorch, Caffe, RAPIDS, and other frameworks. Additionally, the scale-out InfiniBand interconnect is supported by a large set of existing AI and HPC tools that are built on NVIDIA's NCCL2 communication libraries for seamless clustering of GPUs.
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These instances provide excellent performance for many AI, ML, and analytics tools that support GPU acceleration 'out-of-the-box,' such as TensorFlow, Pytorch, Caffe, RAPIDS, and other frameworks. Additionally, the scale-out InfiniBand interconnect supports a large set of existing AI and HPC tools that are built on NVIDIA's NCCL2 communication libraries for seamless clustering of GPUs.

articles/virtual-machines/sizes/gpu-accelerated/includes/nv-series-summary.md

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> [!IMPORTANT]
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> 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](nv-series-retirement.md). For how to migrate your workloads to other VM sizes, see the [NV and NV_Promo series migration guide](nv-series-migration-guide.md).
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> 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](../../../nv-series-retirement.md). For how to migrate your workloads to other VM sizes, see the [NV and NV_Promo series migration guide](../../../nv-series-migration-guide.md).
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> This retirement announcement doesn't apply to NVv3 and NVv4 series VMs.
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articles/virtual-machines/sizes/gpu-accelerated/nc-family.md

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title: NC family VM size series
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description: List of sizes in the NC family.
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ms.service: virtual-machines
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ms.service: azure-virtual-machines
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### NCads_-_H100_v5-series
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[!INCLUDE [ncads_-_h100_v5-series-summary](./includes/ncadsh100v5-series-summary.md)]
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[View the full NCads_-_H100_v5-series page](./ncadsh100-v5.md).
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[View the full NCads_-_H100_v5-series page](./ncadsh100v5-series.md).
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[!INCLUDE [ncads_-_h100_v5-series-specs](./includes/ncadsh100v5-series-specs.md)]
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### NCasT4_v3-series
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[!INCLUDE [ncast4_v3-series-summary](./includes/ncast4v3-series-summary.md)]
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[View the full NCasT4_v3-series page](./nct4v3-series.md).
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[View the full NCasT4_v3-series page](./ncast4v3-series.md).
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[!INCLUDE [ncast4_v3-series-specs](./includes/ncast4v3-series-specs.md)]
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articles/virtual-machines/sizes/gpu-accelerated/nd-family.md

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title: ND family virtual machine size series
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description: List of sizes in the ND family.
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ms.service: virtual-machines
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ms.service: azure-virtual-machines
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### ND_A100_v4-series
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[!INCLUDE [nd-a100-v4-series-summary](./includes/nd-a100-v4-series-summary.md)]
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[!INCLUDE [nd-a100-v4-series-summary](./includes/nda100v4-series-summary.md)]
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[View the full ND_A100_v4-series page](./nda100v4-series.md).
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[!INCLUDE [nd-a100-v4-series-specs](./includes/nd-a100-v4-series-specs.md)]
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[!INCLUDE [nd-a100-v4-series-specs](./includes/nda100v4-series-specs.md)]
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### NDm_A100_v4-series

articles/virtual-machines/sizes/gpu-accelerated/ng-family.md

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title: NG family VM size series
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## Series in family
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### NGads V620-series
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[!INCLUDE [ngads-v620-series-summary](./includes/ngads-v620-series-summary.md)]
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[!INCLUDE [ngads-v620-series-summary](./includes/ngadsv620-series-summary.md)]
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[View the full NGads v620-series page](../../ngads-v-620-series.md).
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[View the full NGads v620-series page](../../ngadsv620-series.md).
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[!INCLUDE [ngads-v620-series-specs](./includes/ngads-v620-series-specs.md)]
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[!INCLUDE [ngads-v620-series-specs](./includes/ngadsv620-series-specs.md)]
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### Previous-generation NG family series

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