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articles/cognitive-services/cognitive-services-container-support.md

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- **Control over data**: Choose where your data gets processed by Cognitive Services. This can be essential if you can't send data to the cloud but need access to Cognitive Services APIs. Support consistency in hybrid environments – across data, management, identity, and security.
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- **Control over model updates**: Flexibility in versioning and updating of models deployed in their solutions.
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- **Portable architecture**: Enables the creation of a portable application architecture that can be deployed on Azure, on-premises and the edge. Containers can be deployed directly to [Azure Kubernetes Service](../aks/index.yml), [Azure Container Instances](../container-instances/index.yml), or to 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).
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- **High throughput / low latency**: Provide customers the ability to scale for high throughput and low latency requirements by enabling Cognitive Services to run physically close to their application logic and data. Containers do not cap transactions per second (TPS) and can be made to scale both up and out to handle demand if you provide the necessary hardware resources.
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- **High throughput / low latency**: Provide customers the ability to scale for high throughput and low latency requirements by enabling Cognitive Services to run physically close to their application logic and data. Containers don't cap transactions per second (TPS) and can be made to scale both up and out to handle demand if you provide the necessary hardware resources.
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- **Scalability**: With the ever growing popularity of containerization and container orchestration software, such as Kubernetes; scalability is at the forefront of technological advancements. Building on a scalable cluster foundation, application development caters to high availability.
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## Containers in Azure Cognitive Services

articles/cognitive-services/containers/container-image-tags.md

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Release note for `2.15.0-amd64`:
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**Fixes**
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* Fix container start issue that may occur when customer run it in some RHEL environments.
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* Fix model download nil error issue in some cases when customer download customized models.
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* Fix container start issue that may occur when customers run it in some RHEL environments.
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* Fix model download nil error issue in some cases when customers download customized models.
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Release note for `2.14.0-amd64`:
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