Patents Assigned to OctoML, Inc.
  • Optimizing machine learning models
    Patent number: 11886963
    Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: January 30, 2024
    Assignee: OctoML, Inc.
    Inventors: Matthew Welsh, Jason Knight, Jared Roesch, Thierry Moreau, Adelbert Chang, Tianqi Chen, Luis Henrique Ceze, An Wang, Michal Piszczek, Andrew McHarg, Fletcher Haynes
  • Optimizing machine learning models
    Patent number: 11816545
    Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.
    Type: Grant
    Filed: November 9, 2021
    Date of Patent: November 14, 2023
    Assignee: OCTOML, INC.
    Inventors: Matthew Welsh, Jason Knight, Jared Roesch, Thierry Moreau, Adelbert Chang, Tianqi Chen, Luis Henrique Ceze, An Wang, Michal Piszczek, Andrew McHarg, Fletcher Haynes
  • Optimizing machine learning models with a device farm
    Patent number: 11348036
    Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: May 31, 2022
    Assignee: OctoML, Inc.
    Inventors: Matthew Welsh, Jason Knight, Jared Roesch, Thierry Moreau, Adelbert Chang, Tianqi Chen, Luis Henrique Ceze, An Wang, Michal Piszczek, Andrew McHarg, Fletcher Haynes
  • Optimizing machine learning models with a device farm
    Patent number: 11315042
    Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: April 26, 2022
    Assignee: OctoML, Inc.
    Inventors: Matthew Welsh, Jason Knight, Jared Roesch, Thierry Moreau, Adelbert Chang, Tianqi Chen, Luis Henrique Ceze, An Wang, Michal Piszczek, Andrew McHarg, Fletcher Haynes
  • Optimizing machine learning models
    Patent number: 11216752
    Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: January 4, 2022
    Assignee: OctoML, Inc.
    Inventors: Matthew Welsh, Jason Knight, Jared Roesch, Thierry Moreau, Adelbert Chang, Tianqi Chen, Luis Henrique Ceze, An Wang, Michal Piszczek, Andrew McHarg, Fletcher Haynes