Artificial Intelligence has made remarkable strides in recent years, with algorithms achieving human-level performance in various tasks. However, the real challenge lies not just in training these models, but in deploying them efficiently in practical scenarios. This is where machine learning inference becomes crucial, arising as a key area for res

AI has achieved significant progress in recent years, with systems matching human capabilities in diverse tasks. However, the main hurdle lies not just in training these models, but in utilizing them efficiently in everyday use cases. This is where inference in AI comes into play, arising as a primary concern for researchers and tech leaders alike.