Equinix, Inc.

Mahendra Malviya

Vijaay Doraiswamy

Purvish Purohit

Kaladhar Voruganti

Guido Franciscus Wilhelmus Coenders

Ramchandra Jayateerth Koty

Manikandan Kaliyaperumal

Premkumar Soman

Mohit Mathur

Darel P Lasrado

In general, this disclosure describes a multi-zone secure AI exchange. The multi-zone secure AI exchange may be implemented in a multi-cloud, multi-data center environment, where each zone may be in a different cloud or data center. The multi-zone secure AI exchange may include a data repository, a data exchange, and shared services. The data repository may be configured to store algorithms and datasets, each having a respective owning user. The data exchange may receive datasets and algorithms from the data repository, and may perform the algorithms to produce output data. Each of the data repository, data exchange, and shared services may have a different level of security. The data repository may implement the highest level of security, allowing the owner user, and only the owning user, to control how their data and algorithms move in and out of the data repository, or are changed while in the data repository.

Multi-zone secure artificial intelligence exchange and hub

In some examples, an application programming interface (API) and services engine is configured to determine, in response to receiving a service request from an application, an application identifier for the service request based at least on an authorization token included in the service request, wherein the application identifier identifies an application that issued the service request; select, based at least on the application identifier, an application data store uniquely associated with the application that issued the service request; and process the service request using data stored by the selected application data store.

Application programming interface and services engine with application-level multi-tenancy

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San Jose, CA, United States of America

Mahendra Malviya