Amazon Technologies, Inc.

Nikolaos Koulouris

Yannis Papakonstantinou

Gokul Soundararajan

Vuk Ercegovac

Sriram Krishnamurthy

George Constantin Caragea

Balakrishnan Narayanaswamy

Jiayuan Chen

A database system may use a machine learning model creation system to create a machine learning model from data stored in the database system responsive to a request from a client. The database system may obtain an executable version of the machine learning model, based on an uncompiled hardware agnostic version of the machine learning model, according to the hardware configuration of one or more computing resources selected by the database system to perform requests to the database system that invoke the machine learning model to generate predictions.

Dynamic compilation of machine learning models based on hardware configurations

A database system may include a machine learning model which may be used to perform various data analytics for data stored in the database system. In response to a request to invoke the machine learning model to generate a prediction from data stored in the database system, the database system may perform one or more optimization operations, as part of a query plan, to prepare the data to make it suitable for use by the machine learning model.

Integrating query optimization with machine learning model prediction

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San Francisco, CA, United States of America

Nikolaos Koulouris