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remove references to Pascal (#376)
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source/cloud/aws/ecs.md

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@@ -40,7 +40,7 @@ For Networking, select the default VPC and all the subnets available in that VPC
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Select "Amazon EC2 instances" for the Infrastructure type and configure your settings:
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- Operating system: must be Linux-based architecture
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- EC2 instance type: must support RAPIDS-compatible GPUs (Pascal or greater), e.g `p3.2xlarge`
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- EC2 instance type: must support RAPIDS-compatible GPUs ([see the RAPIDS docs](https://docs.rapids.ai/install#system-req))
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- Desired capacity: number of maximum instances to launch (default maximum 5)
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- SSH Key pair
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source/cloud/aws/sagemaker.md

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@@ -16,7 +16,7 @@ To get started head to SageMaker and create a [new SageMaker Notebook Instance](
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### Select your instance
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Select a [RAPIDS compatible GPU](https://medium.com/dropout-analytics/which-gpus-work-with-rapids-ai-f562ef29c75f) (NVIDIA Pascal or greater with compute capability 6.0+) as the SageMaker Notebook instance type (e.g., `ml.p3.2xlarge`).
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Select a RAPIDS-compatible GPU ([see the RAPIDS docs](https://docs.rapids.ai/install#system-req)) as the SageMaker Notebook instance type (e.g., `ml.p3.2xlarge`).
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![Screenshot of the create new notebook screen with a ml.p3.2xlarge selected](../../images/sagemaker-create-notebook-instance.png)
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source/examples/rapids-azureml-hpo/notebook.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"`size` describes the virtual machine type and size that will be used in the cluster. RAPIDS requires NVIDIA Pascal or newer architecture, so \n",
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"you will need to select compute targets from one of the \n",
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"[GPU virtual machines in Azure](https://docs.microsoft.com/en-us/azure/virtual-machines/sizes-gpu) provisioned with P40 and V100 GPUs : `NC_v2`, `NC_v3`, `ND` or `ND_v2` \n",
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"`size` describes the virtual machine type and size that will be used in the cluster. See \"System Requirements\" in the RAPIDS docs ([link](https://docs.rapids.ai/install#system-req)) and \"GPU optimized virtual machine sizes\" in the Azure docs ([link](https://learn.microsoft.com/en-us/azure/virtual-machines/sizes-gpu)) to identify an instance type.\n",
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"\n",
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"Let's create an `AmlCompute` cluster of `Standard_NC12s_v3` GPU VMs:"
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"Let's create an `AmlCompute` cluster of `Standard_NC12s_v3` (Tesla V100) GPU VMs:"
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]
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},
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{

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