Abstract: In accordance with embodiments of the present disclosure, a controller may include one or more environmental sensor inputs configured to receive data from one or more environmental sensors integral to an information handling system and a microcontroller unit communicatively coupled to the one or more environmental sensor inputs. The microcontroller unit may be configured to monitor the one or more environmental sensor inputs for one or more reliability-impacting events affecting or likely to affect operability of the information handling system and in response to an occurrence of a reliability-impacting event, apply an event-based policy affecting operation of one or more components of the information handling system.

Abstract: An information handling system and method of a master baseboard management controller election and replacement sub-system (MBMCERS) enables decentralized resource management control via the elected master baseboard management controller (BMC). The information handling system includes a plurality of server nodes, each having a BMC capable of controlling a plurality of shared common resources among the plurality of server nodes. Each BMC has a unique BMC identification. A master register stores BMC identification that has been elected as the master BMC to control the shared common resources. The master BMC relinquishes control of the shared common resources when the master register is placed in the reset state. When the master register is in the reset state, any one of the BMCs can elect to become a replacement master BMC.

Abstract: Baseboard management systems and methods with distributed intelligence for multi-node platforms. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a plurality of modules, each of the plurality of modules including a plurality of nodes, each of the plurality of nodes including a system-on-chip (SoC), each of the plurality of SoCs including an integrated management controller (iMC), each of the plurality of iMCs configured to implement a first intelligent platform management interface (IPMI) stack having a first architecture; and a plurality of baseboard management controllers (BMCs), each of the BMCs disposed on a corresponding one of the plurality of modules, each of the BMCs coupled to the plurality of iMCs on the corresponding one of the plurality of modules, each of the plurality of iMCs configured to implement a second IPMI stack having a second architecture different from the first architecture.

Abstract: A computer-implemented method enables rack-level predictive power capping and power budget allocation to processing nodes in a rack-based IHS. A rack-level management controller receives node-level power-usage data and settings from several block controllers, including current power consumption and an initial power budget for each node. A power consumption profile is generated based on the power-usage data for each node. A total available system power of the IHS is identified. A system power cap is determined based on the power consumption profiles and the total available system power. A current power budget is determined for each node based on an analysis of at least one of the power consumption profile, the initial power budget, the current power consumption, the system power cap, and the total available system power. A power subsystem regulates power budgeted and supplied to each node based on the power consumption profiles and the system power cap.

Abstract: A Rack Information Handling System (RIHS) has a liquid cooling subsystem that provides cooling liquid to liquid cooled (LC) nodes received in chassis-receiving bays of a rack. Leak collection structures are positioned to receive cooling liquid that leaks from the liquid cooling subsystem. Liquid sensors detect a presence of leaked cooling liquid in the leak collection structures. A leak detection subsystem responds to a detected presence of liquid by providing a leak indication. In one or more embodiments, the liquid cooling subsystem has a liquid rail formed by more than one rack interconnections vertically aligned in a rear section of the rack that are connected by modular rail conduits for node-to-node fluid transfer. The leak collection structures include a pipe cover received over at least one modular rail conduit. A liquid cavity of each pipe cover spills over into another lower pipe cover at a rate that can be correlated to severity of the leak.

Abstract: A computer-implemented method controls liquid cooling of a direct injection liquid-cooled (DL) rack information handling system (RIHS). The method includes receiving, at a liquid cooling control subsystem, an incoming cooling liquid supply flow rate corresponding to an incoming cooling liquid supply being supplied to the DL RIHS. A maximum flow rate cap is calculated for each of the LC nodes. The maximum flow rate cap is transmitted to a controller for each of the LC nodes. The controller triggers each of the LC nodes to adjust the associated flow rate for that LC node to correspond to the received maximum flow rate cap for that node.

Abstract: A method provides a service mode within a direct-injection liquid-cooled (DL) Rack Information Handling System (RIHS) having at least one liquid-cooled (LC) node. The method includes: in response to detecting selection of the service mode trigger, transmitting a first control signal to cause a proportional valve to move to an open position for enhanced cooling of the node; monitoring a temperature being sensed in the node; and in response to the temperature reaching a pre-established service mode temperature: forwarding a second control signal, to cause the proportional valve to move to a fully closed position; and generating a notification of an entry of the RIHS into a service mode during which an LC node can be re-engaged with the supply and return port, without affecting an operational on-state of the RIHS and without incurring significant hydraulic pressure when re-engaging the LC node with the liquid cooling system.

Abstract: A computer-implemented method enables global throttling of processing nodes in a rack-configured information handling system (RIHS). A rack-level management controller receives power-usage data and operating parameters associated with processing nodes within separately-controlled blocks of the RIHS. A power subsystem of the RIHS regulates an amount of power supplied to the processing nodes of the RIHS based on the power-usage data and operating parameters for the processing nodes and a total amount of available power for distribution within the RIHS. In response to detecting a condition that reduces the total amount of available power for distribution within the IHS, the management controller autonomously initiates global throttling of the processing nodes within the IHS to reduce power consumption by at least one of the processing nodes. The global throttling is completed via a signal transfer over a select Ethernet cable wire to connected block controllers that control the processing nodes.

Abstract: A scalable power and management module (PMM) includes a chassis configured to be slideably inserted into a power and management bay within a rack. The PMM provides scalable power distribution and rack-level management functions that are shared by several information technology (IT) gear. Several power supply units (PSUs) are mounted in the chassis. The number of PSUs is scalable based on the number of IT gear. A management controller is mounted in the chassis to provide rack-level management of the IT gear and at least one associated block controller within the rack. A power controller is mounted in the chassis and is communicatively coupled to the PSUs and the management controller. The power controller controls power functions of the PMM.

Abstract: Baseboard management systems and methods with distributed intelligence for multi-node platforms. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a plurality of modules, each of the plurality of modules including a plurality of nodes, each of the plurality of nodes including a system-on-chip (SoC), each of the plurality of SoCs including an integrated management controller (iMC), each of the plurality of iMCs configured to implement a first intelligent platform management interface (IPMI) stack having a first architecture; and a plurality of baseboard management controllers (BMCs), each of the BMCs disposed on a corresponding one of the plurality of modules, each of the BMCs coupled to the plurality of iMCs on the corresponding one of the plurality of modules, each of the plurality of iMCs configured to implement a second IPMI stack having a second architecture different from the first architecture.

Abstract: An information handling system and method of a master baseboard management controller election and replacement sub-system (MBMCERS) enables decentralized resource management control via the elected master baseboard management controller (BMC). The information handling system includes a plurality of server nodes, each having a BMC capable of controlling a plurality of shared common resources among the plurality of server nodes. Each BMC has a unique BMC identification. A master register stores BMC identification that has been elected as the master BMC to control the shared common resources. The master BMC relinquishes control of the shared common resources when the master register is placed in the reset state. When the master register is in the reset state, any one of the BMCs can elect to become a replacement master BMC.

Abstract: A scalable power and management module (PMM) includes a chassis configured to be slideably inserted into a power and management bay within a rack. The PMM provides scalable power distribution and rack-level management functions that are shared by several information technology (IT) gear. Several power supply units (PSUs) are mounted in the chassis. The number of PSUs is scalable based on the number of IT gear. A management controller is mounted in the chassis to provide rack-level management of the IT gear and at least one associated block controller within the rack. A power controller is mounted in the chassis and is communicatively coupled to the PSUs and the management controller. The power controller controls power functions of the PMM.

Abstract: A modular, scalable and expandable (MSE) rack-based information handling system (RIHS) includes: a rack assembly having a frame that defines: a front bay chassis with height, depth and width dimensions that enable insertion of a plurality of different sizes of IT gear; and a rear bay that accommodates power and cooling components to support operation of the different sizes of IT gear. The power and cooling for the IT gear are provided from the rear bay and are separate from and independent of the IT gear installed within the front bay chassis. The rack assembly further includes a power and management chassis in which is inserted a power and management module having power and management components located thereon to provide rack-level power and management. A modular configuration of fan modules are inserted within fan receptacles within the rear bay to provide block level cooling of adjacent blocks of IT gear.

Abstract: An immersion cooling tank comprises: a dielectric liquid disposed within a lower volume of the tank; at least one electronic equipment immersed within the dielectric liquid and which requires electrical power to operate; and at least one power distribution unit and/or a bus bar distribution system submerged beneath a surface of the dielectric liquid and providing electrical power to the at least one electronic equipment. The immersion cooling tank further includes a condenser located vertically above the dielectric fluid and the at least one electronic equipment, and through which is flowing a condensation fluid that has a lower density than the dielectric liquid. A leak of the condensation fluid into the tank volume results in the condensation fluid floating atop the dielectric liquid and prevents the condensation liquid from coming into contact with the power distribution unit. The bus bar distribution system enables blind mating of inserted electronic components.

Abstract: A modular, scalable and expandable (MSE) rack-based information handling system (RIHS) includes: a rack assembly having a frame that defines: a front bay chassis with height, depth and width dimensions that enable insertion of a plurality of different sizes of IT gear; and a rear bay that accommodates power and cooling components to support operation of the different sizes of IT gear. The power and cooling for the IT gear are provided from the rear bay and are separate from and independent of the IT gear installed within the front bay chassis. The rack assembly further includes a power and management chassis in which is inserted a power and management module having power and management components located thereon to provide rack-level power and management. A modular configuration of fan modules are inserted within fan receptacles within the rear bay to provide block level cooling of adjacent blocks of IT gear.

Abstract: A rack-based information handling system (IHS) includes a rack having a modular structure that supports insertion from a front of the rack of different numbers and sizes of information technology (IT) gear to create one or more IT nodes. Power bay chassis is received in the rack with a power distribution unit directed towards a rear of the rack. A modular busbar assembly is attached to the rear of the rack. A first vertical busbar segment is in direct electrical connection with the power distribution unit and spans one or more nodes to provide hot pluggable electrical power to an aft-directed connection of an IT node inserted into the rack. A second busbar segment can be attached to the first vertical busbar to electrically communicate with the power distribution unit and span an additional node adjacent to the one or more nodes to provide electrical power to the adjacent node.

Abstract: A power switching system, a method, and an information handling system (IHS) enables selective activation and de-activation of respective alternating current (AC) outlets of a plurality of AC outlets within an AC switch (ACS). The AC switch includes a decoder circuit that is couple via a control interface to a management controller (MC) and receives control commands from the control interface. In response to receipt of the control command, the decoder circuit decodes the command in order to provide control signals to one or more of a number of serial voltage relays, which are each respectively coupled to the AC outlets. The AC switch utilizes the decoder circuit to respectively configure the serial voltage relays using the control signals. By configuring the serial voltage relays, the MC provides and/or removes respective connections between AC inputs and AC outlets, which selectively activates and/or de-activates respective AC outlets.

Abstract: A computer-implemented method enables global throttling of processing nodes in a rack-configured information handling system (RIHS). A rack-level management controller receives power-usage data and operating parameters associated with processing nodes within separately-controlled blocks of the RIHS. A power subsystem of the RIHS regulates an amount of power supplied to the processing nodes of the RIHS based on the power-usage data and operating parameters for the processing nodes and a total amount of available power for distribution within the RIHS. In response to detecting a condition that reduces the total amount of available power for distribution within the IHS, the management controller autonomously initiates global throttling of the processing nodes within the IHS to reduce power consumption by at least one of the processing nodes. The global throttling is completed via a signal transfer over a select Ethernet cable wire to connected block controllers that control the processing nodes.

Abstract: A computer-implemented method enables rack-level predictive power capping and power budget allocation to processing nodes in a rack-based IHS. A rack-level management controller receives node-level power-usage data and settings from several block controllers, including current power consumption and an initial power budget for each node. A power consumption profile is generated based on the power-usage data for each node. A total available system power of the IHS is identified. A system power cap is determined based on the power consumption profiles and the total available system power. A current power budget is determined for each node based on an analysis of at least one of the power consumption profile, the initial power budget, the current power consumption, the system power cap, and the total available system power. A power subsystem regulates power budgeted and supplied to each node based on the power consumption profiles and the system power cap.

Abstract: A rack-based information handling system (IHS) includes a rack having a modular structure that supports insertion of different numbers and sizes of information technology (IT) gear to create one or more IT nodes. A fan bay module is attached to the rack and supports insertion of multiple different fan configurations in more than one fan receptacle. At least one fan is inserted within corresponding at least one fan receptacle of the fan bay module to conform to at least a first fan configuration. A block controller is configurable to control each of the different fan configurations and which, in response to detecting the first fan configuration of the at least one fan inserted within the fan bay module, activates a corresponding first control algorithm that enables the detected first fan configuration to be utilized to provide rack-level cooling for one or more of the IT nodes inserted within the rack.