Abstract: Approaches presented herein provide for automated management of operational systems, such as cooling and power systems, for a computing environment such as a data center. A secondary coolant distribution unit (CDU) can be connected to a cooling loop to allow for cutover from coolant flow from a primary CDU, which can allow for tasks such as coolant cleaning or replacement without having to power down the electronic components being cooled by the coolant flow. The cooling system can also be used to cure thermal interface materials (TIMs) by heating the flow of liquid through the cooling system to at least one target temperature over a period of time according to a curing profile.

Abstract: Approaches presented herein provide for automated management of operational systems, such as cooling and power systems, for a computing environment such as a data center. A secondary coolant distribution unit (CDU) can be connected to a cooling loop to allow for cutover from coolant flow from a primary CDU, which can allow for tasks such as coolant cleaning or replacement without having to power down the electronic components being cooled by the coolant flow. The cooling system can also be used to cure thermal interface materials (TIMs) by heating the flow of liquid through the cooling system to at least one target temperature over a period of time according to a curing profile.

Abstract: Approaches presented herein provide for automated management of operational systems, such as cooling and power systems, for a computing environment such as a data center. A secondary coolant distribution unit (CDU) can be connected to a cooling loop to allow for cutover from coolant flow from a primary CDU, which can allow for tasks such as coolant cleaning or replacement without having to power down the electronic components being cooled by the coolant flow. The cooling system can also be used to cure thermal interface materials (TIMs) by heating the flow of liquid through the cooling system to at least one target temperature over a period of time according to a curing profile.

Abstract: Systems and methods are directed a leak detection system that incorporates one or more chemical sensors to detect small quantities of leaks. The leak detection system may localized chemical sensors to detect leakage within a specific sub-volume of an enclosure. The one or more chemical sensors may be configured to detect an additive incorporated into cooling fluid.

Abstract: Approaches presented herein provide for the automated detection of physical state information for a set of components, such as those present in a datacenter. The physical state information can be obtained by using one or more sensors (e.g., cameras) to capture visual or other physical data for one or more components. The captured sensor data can be analyzed to determine physical state aspects for various components. This observed state can be compared, using an artificial intelligence (AI) model trained on physical language, to a typical set of state data to attempt to identify any anomalies. If any anomalies are identified, an AI actor can determine whether any of those anomalies are related to a current or potential problem, and if so, can generate some type of notification or alarm to cause the problem to be investigated.

Abstract: Systems and methods are directed to a multi-layered tubular that can detect leaks. The multi-layered tubular can include sensing layers that generate an electrical signal in response to encountering a leak. The multi-layered tubular sends an electrical signal to a controller which can take responsive action. The controller may determine the location of the leak based on the electrical signal.

Abstract: Systems and methods are directed to a leak detection system that incorporates non-contact sensors to detect leaks. The leak detection system may include local power supplies that may provide operational power to the non-contact sensors when remaining components, such as those associated with racks or electronic systems, are shipped, stored, or otherwise not provided with an external power supply. Low-powered non-contact sensors may particularly target small viewing areas for leak detection.

Abstract: Systems and methods are directed toward multi-layer tubular arrangements that include a flow restrictive material between a first layer and a second layer. The first layer may be associated with a flow bore and may be surrounded, at least partially, by a flow restrictive material. The flow restrictive material may also be surrounding by a second layer. If an opening or hole forms in either the first or second layers, the flow restrictive material may block fluid ingress/egress to maintain operation of the multi-layer tubular until maintenance or repairs can be scheduled.

Abstract: Some embodiments described herein provide intelligent movable racks for a data center and a central system for monitoring and directing the positioning of such racks within the data center. For example, a rack may include computing equipment as well as a power system, a cooling system, and a cabling system (e.g., for data communication). The rack may include a controller in communication with the computing equipment, the power system, the cooling system, and the cabling system. The rack may also include a rack interface for physically supporting the rack and operatively connecting the systems of the rack to power, cooling, and cabling infrastructure of the data center. The rack interface may receive an autonomous robot for moving the rack within the data center. The controller may control the power system and the cooling system based in part on the autonomous movement of the rack.

Abstract: Some embodiments described herein provide intelligent movable racks for a data center and a central system for monitoring and directing the positioning of such racks within the data center. For example, a rack may include computing equipment as well as a power system, a cooling system, and a cabling system (e.g., for data communication). The rack may include a controller in communication with the computing equipment, the power system, the cooling system, and the cabling system. The rack may also include a rack interface for physically supporting the rack and operatively connecting the systems of the rack to power, cooling, and cabling infrastructure of the data center. The rack interface may receive an autonomous robot for moving the rack within the data center. The controller may control the power system and the cooling system based in part on the autonomous movement of the rack.

Abstract: Devices, apparatuses, and systems for thermal management in networking and computing systems are provided. An example in-rack thermal management system includes a cooling distribution unit (CDU) that includes a housing that defines a fluid inlet and a fluid outlet, thermal management components supported by the housing, and direct mechanical connections coupled with the fluid inlet and the fluid outlet. The in-rack thermal management system includes a fluid distribution system that includes a primary fluid channel directly coupled with the direct mechanical connection of the fluid inlet, and a secondary fluid channel directly coupled with the direct mechanical connection of the fluid outlet. In operation, the thermal management components dissipate heat of a fluid received by the CDU via the fluid inlet. The direct mechanical connections directly interface with the fluid distribution system to provide fluid communication between the CDU and the fluid distribution system to maximize dimensions of the housing.

Abstract: Systems, methods, and computer program products are provided for asset identification and visualization. An example method includes receiving a request for asset visualization that is associated with a plurality of distributed datacenter computing components associated with disparate physical datacenter installations and determining location data for the distributed datacenter computing components. The method further includes generating the asset visualization for presentation to a user associated with the request. The asset visualization is a digital representation of the disparate physical datacenter installations including a visual representation of a presence of the distributed datacenter computing components associated with each disparate physical datacenter installation. The method may render the asset visualization in a virtual reality (VR) environment and/or as an augmented reality (AR) overlay via a user device associated with the user.

Abstract: Thermal management systems and associated methods are provided with acoustic isolation. An example system includes a computing device that defines a first housing supporting one or more processing units and a thermal management system. The thermal management system includes a pressure generation mechanism and one or more cooling conduits operably coupled with the pressure generation mechanism, and the one or more cooling conduits provide fluid communication between the computing device and the pressure generation mechanism. The pressure generation mechanism causes circulation of cooling fluid to the computing device via the one or more cooling conduits so as to dissipate heat generated by the one or more processing units, and the pressure generation mechanism is acoustically isolated from the computing device.

Abstract: Some embodiments described herein provide intelligent movable racks for a data center and a central system for monitoring and directing the positioning of such racks within the data center. For example, a rack may include computing equipment as well as a power system, a cooling system, and a cabling system (e.g., for data communication). The rack may include a controller in communication with the computing equipment, the power system, the cooling system, and the cabling system. The rack may also include a rack interface for physically supporting the rack and operatively connecting the systems of the rack to power, cooling, and cabling infrastructure of the data center. The rack interface may receive an autonomous robot for moving the rack within the data center. The controller may control the power system and the cooling system based in part on the autonomous movement of the rack.