US-12621964-B2 - Interchangeable coolant-calibrated in-rack coolant distribution units in datacenter cooling systems

US12621964B2US 12621964 B2US12621964 B2US 12621964B2US-12621964-B2

Abstract

Systems and methods for cooling a datacenter are disclosed. In at least one embodiment, a plurality of in-rack coolant distribution units (IRCDUs) include a first IRCDU and a second IRCDU that are interchangeable within a rack depending on a type of coolant to be provided to a rack from a coolant distribution unit (CDU), so that a first IRCDU that is calibrated to a first coolant can distribute a first coolant and a second IRCDU that is calibrated to a second coolant can distribute a second coolant to a rack manifold of a rack.

Inventors

Jeremy Rodriguez
Ali Heydari

Assignees

NVIDIA CORPORATION

Dates

Publication Date: 20260505
Application Date: 20220104

Claims (11)

1 . A datacenter cooling system, comprising: a first glycol-based coolant and a second glycol-based coolant, wherein the second glycol-based coolant is different from the first glycol-based coolant; a first coolant distribution unit (CDU) remote from a first datacenter rack, wherein the first CDU is configured to provide the first glycol-based coolant based in part on a first type of coolant to be provided to the first datacenter rack; a first modular in rack coolant distribution unit (IRCDU) disposed in the first datacenter rack, the first modular IRCDU comprising first components calibrated to the first glycol-based coolant, the first modular IRCDU being configured to receive the first glycol-based coolant from the first CDU via a first plug-in connection disposed within the first datacenter rack and to distribute the first glycol-based coolant to a first rack manifold of the first datacenter rack; and a second modular IRCDU disposed in a second datacenter rack, the second modular IRCDU comprising second components calibrated to the second glycol-based coolant, the second modular IRCDU being configured to receive the second glycol-based coolant from a second CDU remote from the second datacenter rack via a second plug-in connection disposed within the second datacenter rack based in part on a second type of coolant to be provided to the second datacenter rack, and the second modular IRCDU to distribute the second glycol-based coolant to a second rack manifold of the second datacenter rack, wherein the first and second modular IRCDUs are interchangeable via the first plug-in connection and the second plug-in connection.
2 . The datacenter cooling system of claim 1 , further comprising: at least one processor to be associated with a plurality of flow controllers of the first modular IRCDU and the second modular IRCDU, the at least one processor to determine a cooling requirement associated with at least one computing device and to cause one or more of the plurality of flow controllers to distribute the first coolant or the second coolant for one or more cold plates associated with the cooling requirement.
3 . The datacenter cooling system of claim 1 , further comprising: at least one processor to be associated with a plurality of ingredient canisters comprising different coolant ingredients, individual ones of the different coolant ingredients to be calibrated to the first glycol-based coolant or the second glycol-based coolant.
4 . The datacenter cooling system of claim 1 , further comprising: at least one processor to be associated with a plurality of ingredient canisters comprising different coolant ingredients calibrated for the first glycol-based coolant or the second glycol-based coolant and to be located in the first modular IRCDU or the second modular IRCDU, the at least one processor to determine a chemical or physical property of the first glycol-based coolant or the second glycol-based coolant and to dispense an individual one of the different coolant ingredients to the first glycol-based coolant or the second glycol-based coolant.
5 . The datacenter cooling system of claim 1 , further comprising: a plurality of first sensors within the first modular IRCDU and a plurality of second sensors within the second modular IRCDU, the plurality of first sensors calibrated to the first glycol-based coolant and the plurality of second sensors calibrated to the second glycol-based coolant to enable determination of a chemical or physical property of the first glycol-based coolant or the second glycol-based coolant.
6 . The datacenter cooling system of claim 5 , further comprising: at least one processor to receive sensor inputs from the plurality of first sensors and the plurality of second sensors, the at least one processor to determine the chemical or physical property of the first glycol-based coolant or the second glycol-based coolant and to dispense an individual one of different coolant ingredients, from one or more first ingredient canisters of the first modular IRCDU to the first glycol-based coolant or from one or more of second ingredient canisters for the second glycol-based coolant.
7 . The datacenter cooling system of claim 6 , further comprising: one or more neural networks to receive the sensor inputs and to infer the chemical or physical property of the first glycol-based coolant or the second glycol-based coolant.
8 . The datacenter cooling system of claim 5 , further comprising: at least one processor to receive sensor inputs from the plurality of first sensors and from the plurality of second sensors, the at least one processor to determine the chemical or physical property of the first glycol-based coolant or the second glycol-based coolant and to enable a flow rate for the first glycol-based coolant or the second glycol-based coolant in response to a cooling requirement associated with at least one cold plate.
9 . The datacenter cooling system of claim 1 , further comprising: a plurality of first sensors in the first modular IRCDU and a plurality of second sensors in the second modular IRCDU, the plurality of first sensors calibrated for first chemical and physical properties of the first glycol-based coolant and the plurality of second sensors second calibrated for second chemical and physical properties of the second glycol-based coolant.
10 . The datacenter cooling system of claim 9 , wherein the first chemical and physical properties and the second chemical and physical properties comprise one or more of: a pH property, a composition, a viscosity, a specific gravity, a specific heat, a reserve alkalinity, a freezing point, a boiling point, and a density.
11 . The datacenter cooling system of claim 1 , further comprising: a plurality of modular IRCDUs, wherein the plurality of modular IRCDUs comprises at least the first modular IRCDU and the second modular IRCDU.

Description

FIELD At least one embodiment pertains to cooling systems, including systems and methods for operating those cooling systems. In at least one embodiment, such a cooling system can be utilized in a datacenter containing one or more racks or computing servers. BACKGROUND Datacenter cooling systems use fans to circulate air through server components. Certain supercomputers or other high capacity computers may use water or other cooling systems instead of air-cooling systems to draw heat away from the server components or racks of the datacenter to an area external to the datacenter. The cooling systems may include a chiller within the datacenter area, which may include area external to the datacenter itself. Further, the area external to the datacenter may include a cooling tower or other external heat exchanger that receives heated coolant from the datacenter and that disperses the heat by forced air or other means to the environment (or an external cooling medium). The cooled coolant is recirculated back into the datacenter. The chiller and the cooling tower together form a chilling facility. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 illustrates an exemplary datacenter cooling system subject to improvements described in at least one embodiment; FIG. 2 illustrates server-level features associated with interchangeable coolant-calibrated in-rack coolant distribution units for a datacenter cooling system, according to at least one embodiment; FIG. 3 illustrates rack-level features associated with interchangeable coolant-calibrated in-rack coolant distribution units for a datacenter cooling system, according to at least one embodiment; FIG. 4 illustrates datacenter-level features associated with interchangeable coolant-calibrated in-rack coolant distribution units for a datacenter cooling system, according to at least one embodiment; FIG. 5 illustrates a method associated with a datacenter cooling system of FIGS. 2-4, according to at least one embodiment; FIG. 6A illustrates inference and/or training logic, according to at least one embodiment; FIG. 6B illustrates inference and/or training logic, according to at least one embodiment; FIG. 7 illustrates training and deployment of a neural network, according to at least one embodiment; FIG. 8 illustrates an example data center system, according to at least one embodiment; FIG. 9 is a block diagram illustrating a computer system, according to at least one embodiment; FIG. 10 is a block diagram illustrating a computer system, according to at least one embodiment; FIG. 11 illustrates a computer system, according to at least one embodiment; FIG. 12 illustrates a computer system, according to at least one embodiment; FIG. 13A illustrates a computer system, according to at least one embodiment; FIG. 13B illustrates a computer system, according to at least one embodiment; FIG. 13C illustrates a computer system, according to at least one embodiment; FIG. 13D illustrates a computer system, according to at least one embodiment; FIGS. 13E and 13F illustrate a shared programming model, according to at least one embodiment; FIG. 14 illustrates exemplary integrated circuits and associated graphics processors, according to at least one embodiment; FIGS. 15A, 15B illustrate exemplary integrated circuits and associated graphics processors, according to at least one embodiment; FIGS. 16A, 16B illustrate additional exemplary graphics processor logic according to at least one embodiment; FIG. 17 illustrates a computer system, according to at least one embodiment; FIG. 18A illustrates a parallel processor, according to at least one embodiment; FIG. 18B illustrates a partition unit, according to at least one embodiment; FIG. 18C illustrates a processing cluster, according to at least one embodiment; FIG. 18D illustrates a graphics multiprocessor, according to at least one embodiment; FIG. 19 illustrates a multi-graphics processing unit (GPU) system, according to at least one embodiment; FIG. 20 illustrates a graphics processor, according to at least one embodiment; FIG. 21 is a block diagram illustrating a processor micro-architecture for a processor, according to at least one embodiment; FIG. 22 illustrates a deep learning application processor, according to at least one embodiment; FIG. 23 is a block diagram illustrating an example neuromorphic processor, according to at least one embodiment; FIG. 24 illustrates at least portions of a graphics processor, according to one or more embodiments; FIG. 25 illustrates at least portions of a graphics processor, according to one or more embodiments; FIG. 26 illustrates at least portions of a graphics processor, according to one or more embodiments; FIG. 27 is a block diagram of a graphics processing engine of a graphics processor in accordance with at least one embodiment; FIG. 28 is a block diagram of at least portions of a graphics processor core, according to at least one embodiment; FIGS. 29A, 29B illustrate thread execution logic including