Machine learning has made remarkable strides in recent years, with algorithms achieving human-level performance in various tasks. However, the true difficulty lies not just in developing these models, but in deploying them efficiently in everyday use cases. This is where inference in AI becomes crucial, emerging as a critical focus for researchers