Machine learning has achieved significant progress in recent years, with systems achieving human-level performance in diverse tasks. However, the main hurdle lies not just in developing these models, but in deploying them optimally in practical scenarios. This is where machine learning inference becomes crucial, emerging as a primary concern for re