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

Desiderata for next generation of ML model serving