
    Amazon Bedrock now supports importing and deploying Qwen 2 and 2.5 models, enabling organizations to use advanced AI capabilities across coding, multimodal, and language tasks in a fully managed, serverless environment.


<div>
<p>
AWS has announced support for Qwen models through Amazon Bedrock Custom Model Import, enabling organizations to deploy and use advanced AI models in a fully managed, serverless environment.
</p>
<ul>
<li>Supports Qwen 2, 2.5 Coder, and VL models ranging from 0.5B to 72B parameters</li>
<li>Allows importing custom Qwen model weights directly into Amazon Bedrock</li>
<li>Provides two primary use cases demonstrated:
<ul>
<li>Coding assistant with Qwen2.5-Coder</li>
<li>Image understanding with Qwen2.5-VL</li>
</ul>
</li>
<li>No charge for model import, with usage-based inference pricing</li>
<li>Enables serverless AI deployment without managing infrastructure</li>
</ul>
<p>
This feature allows organizations to leverage state-of-the-art AI capabilities within AWS infrastructure, providing flexibility and ease of use for generative AI applications.
</p>
</div>


Related articles