Machine learning has made remarkable strides in recent years, with algorithms achieving human-level performance in diverse tasks. However, the main hurdle lies not just in training these models, but in utilizing them efficiently in real-world applications. This is where machine learning inference becomes crucial, surfacing as a key area for experts