Artificial Intelligence has made remarkable strides in recent years, with algorithms achieving human-level performance in diverse tasks. However, the true difficulty lies not just in training these models, but in implementing them efficiently in real-world applications. This is where machine learning inference comes into play, surfacing as a critic