Machine learning has advanced considerably in recent years, with models matching human capabilities in various tasks. However, the true difficulty lies not just in training these models, but in deploying them efficiently in practical scenarios. This is where inference in AI becomes crucial, emerging as a critical focus for researchers and innovator