Machine learning has made remarkable strides in recent years, with systems matching human capabilities in numerous tasks. However, the true difficulty lies not just in training these models, but in deploying them optimally in everyday use cases. This is where inference in AI becomes crucial, emerging as a primary concern for scientists and industry

Machine learning has achieved significant progress in recent years, with algorithms surpassing human abilities in diverse tasks. However, the real challenge lies not just in training these models, but in utilizing them effectively in real-world applications. This is where AI inference comes into play, surfacing as a key area for researchers and inn