IP Library Granted Patent US 12669787
Granted Patent B1
US 12669787 · App. 18/111,009 · Granted Jun 30, 2026

Control systems for enhanced data center cooling system power efficiency

Inventors: Ali Heydari (Napa, CA); Pardeep Shahi (Arlington, TX)
Assignee: NVIDIA Corporation
G05B13/027H05K7/20836G05B2219/2614
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Quick Facts
Patent No.
US 12669787
App. No.
18/111,009
Granted
Jun 30, 2026
Kind
B1
Abstract

Processors, systems and methods are described that control, using one or more neural networks based at least in part on a set of parameters associated with one or more servers of a data center, operation of a coolant distribution unit and one or more flow control valves of a cooling system of the data center.

Claims (42)

1 . A processor comprising:

one or more circuits to control, using one or more neural networks based at least in part on a set of parameters indicative of a change in differential pressure associated with a change to utilization of one or more servers of a data center, a set of operating settings of a cooling system of the data center to address the change in differential pressure, wherein controlling the set of operating settings of the cooling system to address the change in differential pressure comprises:

adjusting a rotational frequency of a pump of a coolant distribution unit from a first rotational frequency to a second rotational frequency different from the first rotational frequency, wherein the first rotational frequency and the second rotational frequency each have a non-zero magnitude; and

controlling at least one of:

one or more server-level flow control valves of the cooling system of the data center to achieve one or more respective target server-level flow rates with respect to the one or more servers; or

one or more rack-level flow control valves of the cooling system of the data center to achieve one or more respective target rack-level flow rates with respect to one or more server racks.

2 . The processor of claim 1 , wherein the one or more circuits are further to:

obtain data associated with the data center; and

determine the set of parameters based on the data associated with the data center.

3 . The processor of claim 2 , wherein the data associated with the data center comprises at least one of:

server data for the one or more servers;

server rack data for one or more server racks of the data center; or

flow control valve data for the one or more flow control valves.

4 . The processor of claim 2 , wherein the one or more circuits are further to obtain the data associated with the data center by receiving sensor data from one or more sensors.

5 . A system comprising:

one or more processors to control, using one or more neural networks based at least in part on a set of parameters indicative of a change in differential pressure associated with a change to utilization of one or more servers of a data center, a set of operating settings of a cooling system of the data center to address the change in differential pressure, wherein controlling the set of operating settings of the cooling system to address the change in differential pressure comprises:

adjusting a rotational frequency of a pump of a coolant distribution unit from a first rotational frequency to a second rotational frequency different from the first rotational frequency, wherein the first rotational frequency and the second rotational frequency each have a non-zero magnitude; and

controlling at least one of:

one or more server-level flow control valves of the cooling system of the data center to achieve one or more respective target server-level flow rates with respect to the one or more servers; or

one or more rack-level flow control valves of the cooling system of the data center to achieve one or more respective target rack-level flow rates with respect to one or more server racks.

6 . The system of claim 5 , wherein the one or more processors are further to:

obtain data associated with the data center; and

determine the set of parameters based on the data associated with the data center.

7 . The system of claim 6 , wherein the data associated with the data center comprises at least one of:

server data for the one or more servers;

server rack data for one or more server racks of the data center; or

flow control valve data for the one or more flow control valves.

8 . The system of claim 6 , wherein the one or more processors are further to obtain the data associated with the data center by receiving sensor data from one or more sensors.

9 . A method comprising:

controlling, using one or more neural networks based at least in part on a set of parameters indicative of a change in differential pressure associated with a change to utilization of one or more servers of a data center, a set of operating settings of a cooling system of the data center to address the change in differential pressure, wherein controlling the set of operating settings of the cooling system to address the change in differential pressure comprises:

adjusting a rotational frequency of a pump of a coolant distribution unit from a first rotational frequency to a second rotational frequency different from the first rotational frequency, wherein the first rotational frequency and the second rotational frequency each have a non-zero magnitude; and

controlling at least one of:

one or more server-level flow control valves of the cooling system of the data center to achieve one or more respective target server-level flow rates with respect to the one or more servers; or

one or more rack-level flow control valves of the cooling system of the data center to achieve one or more respective target rack-level flow rates with respect to one or more server racks.

10 . The method of claim 9 , further comprising:

obtaining data associated with the data center; and

determining the set of parameters based on the data associated with the data center.

11 . The method of claim 10 , wherein the data associated with the data center comprises at least one of:

server data for the one or more servers;

server rack data for one or more server racks of the data center; or

flow control valve data for the one or more flow control valves.

12 . The method of claim 11 , wherein obtaining the data associated with the data center further comprises receiving sensor data from one or more sensors.