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Merge pull request #192982 from PatrickFarley/sa-updates
[cog svcs] Sa updates
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articles/cognitive-services/Computer-vision/spatial-analysis-container.md

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@@ -26,7 +26,7 @@ The Spatial Analysis container enables you to analyze real-time streaming video
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### Spatial Analysis container requirements
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To run the Spatial Analysis container, you need a compute device with a [NVIDIA Tesla T4 GPU](https://www.nvidia.com/en-us/data-center/tesla-t4/). We recommend that you use [Azure Stack Edge](https://azure.microsoft.com/products/azure-stack/edge/) with GPU acceleration, however the container runs on any other desktop machine that meets the minimum requirements. We will refer to this device as the host computer.
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To run the Spatial Analysis container, you need a compute device with an NVIDIA CUDA Compute Capable GPU 6.0 or higher (for example, [NVIDIA Tesla T4](https://www.nvidia.com/en-us/data-center/tesla-t4/), 1080Ti, or 2080Ti). We recommend that you use [Azure Stack Edge](https://azure.microsoft.com/products/azure-stack/edge/) with GPU acceleration, however the container runs on any other desktop machine that meets the minimum requirements. We will refer to this device as the host computer.
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#### [Azure Stack Edge device](#tab/azure-stack-edge)
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* 4 GB system RAM
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* 4 GB of GPU RAM
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* 8 core CPU
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* 1 NVIDIA CUDA Compute Capable devices 6.0 or higher ( e.g.: NVIDIA Tesla T4, 1080Ti, or 2080Ti )
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* 1 NVIDIA CUDA Compute Capable GPU 6.0 or higher (for example, [NVIDIA Tesla T4](https://www.nvidia.com/en-us/data-center/tesla-t4/), 1080Ti, or 2080Ti)
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* 20 GB of HDD space
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#### Recommended hardware
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* 32 GB system RAM
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* 16 GB of GPU RAM
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* 8 core CPU
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* 2 NVIDIA Tesla T4 GPUs
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* 2 NVIDIA CUDA Compute Capable GPUs 6.0 or higher (for example, [NVIDIA Tesla T4](https://www.nvidia.com/en-us/data-center/tesla-t4/), 1080Ti, or 2080Ti)
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* 50 GB of SSD space
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In this article, you will download and install the following software packages. The host computer must be able to run the following (see below for instructions):

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