Paper ID: 2210.14665

Desiderata for next generation of ML model serving

Sherif Akoush, Andrei Paleyes, Arnaud Van Looveren, Clive Cox

Inference is a significant part of ML software infrastructure. Despite the variety of inference frameworks available, the field as a whole can be considered in its early days. This position paper puts forth a range of important qualities that next generation of inference platforms should be aiming for. We present our rationale for the importance of each quality, and discuss ways to achieve it in practice. We propose to focus on data-centricity as the overarching design pattern which enables smarter ML system deployment and operation at scale.

Submitted: Oct 26, 2022