Patents by Inventor Saumitra Vikram

Saumitra Vikram has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Machine learning using serverless compute architecture
    Patent number: 11805027
    Abstract: A serverless computing system is configured to provide access to a machine learning model by at least associating an endpoint, comprising code that accesses the machine learning model, with an extension that interfaces between a serverless compute architecture and the endpoint. A request to perform an inference is received by the system and processed by using the serverless compute architecture to execute a compute function. The compute function cases the extension to interface with the endpoint to cause the machine learning model to perform the inference.
    Type: Grant
    Filed: March 31, 2022
    Date of Patent: October 31, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Maximiliano Maccanti, Gowda Dayananda Anjaneyapura Range, Rishabh Ray Chaudhury, Michael Pham, Shruti Sharma, Saumitra Vikram, James Alan Sanders, Mihir Sathe
  • MACHINE LEARNING USING SERVERLESS COMPUTE ARCHITECTURE
    Publication number: 20230171164
    Abstract: A serverless computing system is configured to provide access to a machine learning model by at least associating an endpoint, comprising code that accesses the machine learning model, with an extension that interfaces between a serverless compute architecture and the endpoint. A request to perform an inference is received by the system and processed by using the serverless compute architecture to execute a compute function. The compute function cases the extension to interface with the endpoint to cause the machine learning model to perform the inference.
    Type: Application
    Filed: March 31, 2022
    Publication date: June 1, 2023
    Inventors: Maximiliano Maccanti, Gowda Dayananda Anjaneyapura Range, Rishabh Ray Chaudhury, Michael Pham, Shruti Sharma, Saumitra Vikram, James Alan Sanders, Mihir Sathe
  • MACHINE LEARNING USING A HYBRID SERVERLESS COMPUTE ARCHITECTURE
    Publication number: 20230169396
    Abstract: A system is configured to provide access to a machine learning model by using a hybrid configuration comprising a dedicate server on which an instance of a model server is installed, and a serverless compute architecture that interfaces with an instance of the model server using an extension. A first portion of requests directed to the model server are processed by the dedicated server, and a second portion of the requests is processed by the serverless compute architecture.
    Type: Application
    Filed: March 31, 2022
    Publication date: June 1, 2023
    Inventors: Maximiliano Maccanti, Gowda Dayananda Anjaneyapura Range, Rishabh Ray Chaudhury, Michael Pham, Shruti Sharma, Saumitra Vikram, James Alan Sanders, Mihir Sathe