公开(公告)号：US12206748B2

公开(公告)日：2025-01-21

申请号：US17958139

申请日：2022-09-30

Applicant: NVIDIA Corporation

Inventor： Siddha Ganju ,  Elad Mentovich ,  Michael Balint ,  Eitan Zahavi ,  Michael Sabotta ,  Michael Norman ,  Ryan Wells

IPC: G06F11/30 ,  H04L41/16 ,  H04L67/60

Abstract: A method includes receiving, using a processing device, a first condition associated with an operation at a data center, where the operation at the data center pertains to a first location at the data center, the first location corresponding to a first parameter value. The method further includes providing the first condition as an input to a machine learning model. The method also includes performing one or more reinforcement learning techniques using the machine learning model to cause the machine learning model to output an indication of a final location associated with the operation, where the final location corresponds to a final parameter value that is closer to a target than the first parameter value corresponding to the first location at the data center.

公开(公告)号：US20240129380A1

公开(公告)日：2024-04-18

申请号：US17958139

申请日：2022-09-30

Applicant: NVIDIA Corporation

Inventor： Siddha Ganju ,  Elad Mentovich ,  Michael Balint ,  Eitan Zahavi ,  Michael Sabotta ,  Michael Norman ,  Ryan Wells

IPC: H04L67/60 ,  G06F11/30 ,  H04L41/16

CPC classification number: H04L67/60 ,  G06F11/3062 ,  H04L41/16

Abstract: A method includes receiving, using a processing device, a first condition associated with an operation at a data center, where the operation at the data center pertains to a first location at the data center, the first location corresponding to a first parameter value. The method further includes providing the first condition as an input to a machine learning model. The method also includes performing one or more reinforcement learning techniques using the machine learning model to cause the machine learning model to output an indication of a final location associated with the operation, where the final location corresponds to a final parameter value that is closer to a target than the first parameter value corresponding to the first location at the data center.