Machine learning has advanced considerably in recent years, with models achieving human-level performance in various tasks. However, the true difficulty lies not just in developing these models, but in deploying them efficiently in everyday use cases. This is where inference in AI comes into play, emerging as a primary concern for experts and innov

Artificial Intelligence has made remarkable strides in recent years, with models 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, surfacing as a key area for research