moving include file

Author: aahill

articles/cognitive-services/text-analytics/how-tos/text-analytics-how-to-install-containers.md

@@ -46,6 +46,17 @@ You must meet the following prerequisites before using Text Analytics containers
 
 [!INCLUDE [Host Computer requirements](../../../../includes/cognitive-services-containers-host-computer.md)]
 
+### Container requirements and recommendations
+
+The following table describes the minimum and recommended specifications for the Text Analytics containers. At least 2 gigabytes (GB) of memory are required, and each CPU core must be at least 2.6 gigahertz (GHz) or faster. The allowable Transactions Per Section (TPS) are also listed.
+
+|  | Minimum host specs | Recommended host specs | Minimum TPS | Maximum TPS|
+|---|---------|-------------|--|--|
+| **Language detection, key phrase extraction**   | 1 core, 2GB memory | 1 core, 4GB memory |15 | 30|
+| **Sentiment Analysis v3**   | 1 core, 2GB memory | 4 cores, 8GB memory |15 | 30|
+
+CPU core and memory correspond to the `--cpus` and `--memory` settings, which are used as part of the `docker run` command.
+
 ## Get the container image with `docker pull`
 
 [!INCLUDE [Tip for using docker list](../../../../includes/cognitive-services-containers-docker-list-tip.md)]
@@ -142,7 +153,7 @@ For more information about these options, see [Configure containers](../text-ana
 In this article, you learned concepts and workflow for downloading, installing, and running Text Analytics containers. In summary:
 
 * Text Analytics provides three Linux containers for Docker, encapsulating various capabilities:
-   * *Sentiment Analysis *
+   * *Sentiment Analysis*
    * *Key Phrase Extraction (preview)* 
    * *Language Detection (preview)*
 

articles/cognitive-services/text-analytics/includes/docker-run-sentiment-analysis-container.md

@@ -24,6 +24,6 @@ ApiKey={API_KEY}
 This command:
 
 * Runs a *Sentiment Analysis* container from the container image
-* Allocates one CPU core and 4 gigabytes (GB) of memory
+* Allocates one CPU core and 8 gigabytes (GB) of memory
 * Exposes TCP port 5000 and allocates a pseudo-TTY for the container
 * Automatically removes the container after it exits. The container image is still available on the host computer.

includes/cognitive-services-containers-host-computer.md

@@ -12,14 +12,3 @@ The host is a x64-based computer that runs the Docker container. It can be a com
 * [Azure Container Instances](../articles/container-instances/index.yml).
 * A [Kubernetes](https://kubernetes.io/) cluster deployed to [Azure Stack](/azure-stack/operator). For more information, see [Deploy Kubernetes to Azure Stack](/azure-stack/user/azure-stack-solution-template-kubernetes-deploy).
 
-### Container requirements and recommendations
-
-The following table describes the minimum and recommended specifications for the Text Analytics containers. At least 2 gigabytes (GB) of memory are required, and each CPU core must be at least 2.6 gigahertz (GHz) or faster. The allowable Transactions Per Section (TPS) are also listed.
-
-|  | Minimum host specs | Recommended host specs | Minimum TPS | Maximum TPS|
-|---|---------|-------------|--|--|
-| **Language detection, key phrase extraction**   | 1 core, 2GB memory | 1 core, 4GB memory |15 | 30|
-| **Sentiment Analysis v3**   | 1 core, 2GB memory | 4 cores, 8GB memory |15 | 30|
-
-CPU core and memory correspond to the `--cpus` and `--memory` settings, which are used as part of the `docker run` command.
-