Intel has introduced a new tool designed to simplify the deployment of multiple large language models (LLMs) in a cloud-native environment. According to Intel, the tool enables developers to manage and scale multiple LLMs efficiently, reducing the complexity associated with running multiple models simultaneously. The solution is built with cloud-native principles in mind, allowing for seamless integration with existing cloud infrastructure. This development is part of Intel's broader strategy to support the growing demand for AI workloads in cloud environments. The tool is intended to help organizations optimize resource usage and improve performance when deploying multiple LLMs. Intel said the solution supports various deployment scenarios, making it adaptable to different use cases. By streamlining the deployment process, the tool aims to lower the barrier to entry for organizations looking to leverage multiple LLMs. *Source: [intel](https://medium.com/intel-tech/easily-deploy-multiple-llms-in-a-cloud-native-environment-c7b47511ac15?source=rss----bcaa5b033cbb---4)*