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Azure Container Apps

A collection of 4 posts

Azure Container Apps with DeepSeek-R1

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Azure Container Apps with DeepSeek-R1

The DeepSeek-R1 Large Language Model can easily run on Azure Container Apps for as low compute as 3 CPU cores and 6GB of RAM for a fast experience with the 1.5billion parameter model. You can opt for more CPU and RAM if you choose. The DeepSeek-R1 model comes in

Azure Container Apps Dapr State Store

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Azure Container Apps Dapr State Store

When attempting to connect an Azure Container App to different services in Azure with multiple containers with code, this can prove to be challenging. Dapr is suited for cases like these where it allows us to achieve the communication of data between our different services without needing to specifically write

Azure Container Apps with Ollama for general AI inference

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Azure Container Apps with Ollama for general AI inference

An Azure Container Apps instance can run multiple containers under a construct of a main application container that is supported by other 'sidecar' containers. It gives us the perfect environment to create, for example, a web app that has a complimentary Small Language model inference engine in the

Scheduled Azure Container App Job Example

Azure Container Apps

Scheduled Azure Container App Job Example

Azure Container App Jobs are designed to execute for a short period of time as part of your containerised workload in an Azure Container App Environment. They exist as separate entities from your Azure Container App but live in the same Azure Container App Environment to share resources. They can

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