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Freshness update for overview.md . . .
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articles/machine-learning/data-science-virtual-machine/overview.md

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@@ -8,7 +8,6 @@ ms.service: data-science-vm
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ms.custom: linux-related-content
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author: jesscioffi
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ms.author: jcioffi
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ms.reviewer: mattmcinnes
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ms.topic: overview
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ms.reviewer: franksolomon
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ms.date: 04/26/2024
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### Deep learning with GPUs
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In the DSVM, your training models can use deep learning algorithms on graphics processing unit (GPU)-based hardware. If you take advantage of the VM scaling capabilities of the Azure platform, the DSVM helps you lever GPU-based hardware in the cloud, according to your needs. You can switch to a GPU-based VM when you train large models, or when you need high-speed computations while you keep the same OS disk. You can choose any of the N series GPU-enabled virtual machine SKUs with DSVM. Azure free accounts don't support GPU-enabled virtual machine SKUs.
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In the DSVM, your training models can use deep learning algorithms on graphics processing unit (GPU)-based hardware. If you take advantage of the VM scaling capabilities of the Azure platform, the DSVM helps you lever GPU-based hardware in the cloud, according to your needs. You can switch to a GPU-based VM when you train large models, or when you need high-speed computations while you keep the same OS disk. You can choose any of the N series GPU-enabled virtual machine SKUs with DSVM. Azure free accounts don't support GPU-enabled virtual machine SKUs.
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A Windows-edition DSVM comes preinstalled with GPU drivers, frameworks, and GPU versions of deep learning frameworks. On the Linux editions, deep learning on GPUs is enabled on the Ubuntu DSVMs.
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