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US 12,193,196 B2Granted
Predictive control using one or more neural networks
AssigneeNVIDIA Corporation
InventorsAli Heydari, Vladimir Troy
Life of this patent
Estimating the term…
Abstract
Systems and methods for cooling a computer environment are disclosed. In at least one embodiment, one or more neural networks can be used to determine one or more temperature control settings associated with one or more servers.
Claims25
A processor, comprising:
- one or more circuits to use one or more neural networks associated with one or more different hardware components of a data center to solve a fluid mechanics problem based on an input comprising temperature data and the fluid flow data to predict future fluid flows and future temperatures for a plurality of locations of the data center, the one or more circuits to adjust one or more temperature control settings associated with one or more servers of the data center based on at least one of the future fluid flows or the future temperatures, wherein a first neural network of the one or more networks that is associated with a first type of hardware component is different from a second neural network of the one or more neural networks that is associated with a second type of hardware component.
A system comprising:
- one or more processors to use one or more neural networks to solve a fluid mechanics problem based on an input comprising temperature data, pressure data and fluid flow data to predict future fluid flows, future pressures and future temperatures for a plurality of locations of a data center, the one or more processors to adjust one or more temperature control settings associated with one or more servers of the data center based on at least one of the future fluid flows, the future pressures or the future temperatures;
- and
- a plurality of different data center hardware components, wherein a first neural network of the one or more neural networks that is associated with a first type of data center hardware component is different from a second neural network of the one or more neural networks that is associated with a second type of data center hardware component.
A method comprising:
- using one or more neural networks associated with one or more different hardware component of a data center to solve a fluid mechanics problem based on an input comprising temperature data and fluid flow data to predict future fluid flows and future temperatures for a plurality of locations of the data center, wherein a first neural network of the one or more neural networks that is associated with a first type of data center hardware component is different from a second neural network of the one or more neural networks that is associated with a second type of data center hardware component;
- and
- adjusting one or more temperature control settings associated with one or more servers of the data center based on at least one of the future fluid flows or the future temperatures.
A non-transitory machine-readable medium having stored thereon a set of instructions, which if performed by one or more processors, cause the one or more processors to at least:
- use one or more neural networks associated with one or more different hardware components of a data center to solve a fluid mechanics problem based on an input comprising temperature data and fluid flow data to predict future fluid flows and future temperatures for a plurality of locations of the data center, wherein a first neural network of the one or more neural networks that is associated with a first type of data center hardware component is different from a second neural network of the one or more neural networks that is associated with a second type of data center hardware component;
- and
- adjust one or more temperature control settings associated with one or more servers of the data center based on at least one of the future fluid flows or the future temperatures.
A data center cooling system, comprising:
- one or more cooling systems associated with one or more servers;
- one or more processors to use one or more neural networks to solve a fluid mechanics problem based on an input comprising the temperature data and the fluid flow data to predict future fluid flows and future temperatures for the plurality of locations of the data center, the one or more processors to adjust one or more temperature control settings for the one or more cooling systems based on at least one of the future fluid flows or the future temperatures;
- a plurality of different data center hardware components, wherein a first neural network of the one or more neural networks that is associated with a first type of data center hardware component is different from a second neural network of the one or more neural networks that is associated with a second type of data center hardware component;
- and
- memory for storing network parameters for the one or more neural networks.
2 more elements
Dependencies are inferred from the claim text.