Abstract: The present disclosure provides for a modular design and build architecture, comprising: one or more integrated system module (ISMs) that are configured to be shipped and assembled on-site to construct an operational infrastructure for one or more application environments, wherein each of the ISMs comprises two or more different functional components that are integrated onto and/or supported by a common structural floor.

Abstract: Embodiments disclosed include data center infrastructure management (DCIM) systems and methods configured to collect data center compute systems, power systems, and facility systems data, trigger an action or actions based on a diagnosed or predicted condition according to the collected data, and thereby control via a compute, power, and facilities module, the compute systems, power systems and facility systems in the data center. According to an embodiment, the control via the compute, power, and facilities module comprises calibrating the compute, power, and facility systems based on an estimated compute requirement, and an associated power, cooling, and network data resource requirement. The estimated compute requirement comprises estimating compute density per real-time power wattage, and storage density per real-time power wattage.

Abstract: Waterborne data center facility systems and methods comprising a purpose-built marine vessel, a pre-fabricated data center facility structure, a plurality of computer systems, a plurality of energy-efficient water-based heat exchange systems, a plurality of energy efficient closed-loop cooling systems, a plurality of data center modules and a plurality of electrical power generators. Described systems and methods may be employed to quickly deploy an energy-efficient waterborne data center facility. Described waterborne data center facility is transportable and may be moved to areas where data center facility and data center type services are needed. Water-based heat exchange and closed-loop cooling system enable energy-efficient cooling to data center facility and the plurality of computing systems therein. Power generators may be used to provide power to data center facility.

Abstract: A submerged waterborne data center facility that employs a feedback-control system to control any one of a condensation function, depth function, and a wired or wireless data transfer function utilizing on-board and out-board sensors operatively coupled to an operational state change controller, controlling for a hygrostat-coupled heater, depth thruster, and, or a radio frequency modulation unit.

Abstract: Embodiments disclosed include methods and systems that adaptively, in real-time, evaluate data center performance, assess data center efficiency, data center sustainability, data center availability, compute performance, storage performance and provide data center customers with an overall data center performance rating, presented as a Total Resource Utilization Efficiency or TRUE score. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods. Other embodiments of the methods or systems include addition of newly defined metrics as categories or sub-categories to be used to calculate data center TRUE score.

Abstract: A cyber security system that uses artificial intelligence, such neural networks, to monitor the security of a computer network and take automated remedial action based on the monitoring. The security system autonomically learns behavior profiles, attack profiles and circumvention techniques used to target the network. The remedial action taken by the system includes isolating any misuse that has been identified, surveilling the misuse in the isolated environment, analyzing its behavior profile and reconfiguring the network to enhance security.

Abstract: Systems and methods disclose self-contained data center facility operations, management and build comprising, in the data center facility, installing a plurality of computer servers contained in a corresponding plurality of configurable rack mounted containers, a single or plurality of heat exchangers operatively coupled to the configurable rack mounted containers, and comprised in a thermal heat exchange system which further comprises a closed loop cooling unit. The closed loop cooling unit is caused to absorb heat from the single or plurality of heat exchangers.

Abstract: Systems and methods for intelligent data center power management and energy market disaster recovery comprised of data collection layer, infrastructure elements, application elements, power elements, virtual machine elements, analytics/automation/actions layer, analytics or predictive analytics engine, automation software, actions software, energy markets analysis layer and software and intelligent energy market analysis elements or software. Plurality of data centers employ the systems and methods comprised of a plurality of Tier 2 data centers that may be running applications, virtual machines and physical computer systems to enable data center and application disaster recovery from utility energy market outages.

Abstract: Methods and systems for autonomous computing comprising processing historical data to analyze a past performance, collecting data from a plurality of connected devices over a network, synchronizing the collected data from the plurality of connected devices with the processed historical data. Based on the synchronized data, methods and systems disclosed include detecting an alert (error/fault) condition in one or more of the plurality of connected devices, based on the detected alert condition, triggering the delivery of the detected alert condition to an automated network operations center (NOC), and matching the determined alert condition to a historical alert condition by the network operations center. Based on the matching, methods and systems include determining a corrective action, and based on the determined corrective action, assigning a virtual self-healing module from a plurality of virtual self-healing modules.

Abstract: The present invention relates to a cooling system and method for regulating environmental conditions of a racked server unit having a plurality of server modules. The system comprises of an inlet line connected to a plurality of circulation conduits, wherein the plurality of circulation conduits receive a cooling medium from the inlet line, and the circulation conduits circulates the cooling medium through the racked server unit. A plurality of cold plates are positioned within the racked server unit, wherein one or more of the plurality of cold plates are thermally coupled to each of the plurality of server modules, and the plurality of cold plates are connected to one or more of the plurality of circulation conduits. An outlet line is connected to the plurality of circulation conduits, wherein the outlet line receives the cooling medium circulated through the racked server unit from the plurality of circulation conduits.

Abstract: Embodiments disclosed include a heat exchange apparatus and method comprising, in an electronic device, a first heat exchanger for exchanging heat with the device wherein the heat exchanger comprises a flow duct for receiving a fluid, and at least a portion of the flow duct is arranged for thermal communication with the device. Preferred embodiments include a pressure reducing unit comprising a pump associated with the flow duct and a Venturi tube configured for reducing the pressure of the fluid in the portion of the flow duct arranged in thermal communication with the device and less than the pressure external to the duct. An embodiment includes a fluid reservoir, and a second heat exchanger for removing heat from the fluid reservoir wherein the second heat exchanger comprises an evaporator in a refrigerant system through which refrigerant is passed in a closed loop via an expansion valve from a gas cooler and back into a compressor.

Abstract: Embodiments disclosed include a data center comprising a first reconfigurable utility module comprising interfaces for facilitating electrical power supply, data connectivity, and cooling media supply, and further comprising a plurality of interfaces through which components may be connected to said first reconfigurable utility module. Additionally, a plurality of server modules are connected to the reconfigurable utility module through the interfaces, each of said server modules comprising one or more racks of servers, each of said server modules receiving said power supply, said data connectivity, and said cooling media through an interface through which it is connected to said reconfigurable utility module.

Abstract: A cyber security system that uses artificial intelligence, such neural networks, to monitor the security of a computer network and take automated remedial action based on the monitoring. The security system autonomically learns behavior profiles, attack profiles and circumvention techniques used to target the network. The remedial action taken by the system includes isolating any misuse that has been identified, surveilling the misuse in the isolated environment, analyzing its behavior profile and reconfiguring the network to enhance security.

Abstract: The thermal containment system generally includes an enclosure, a vertical enclosure, a cable management system, integrated cooling unit, a plurality of quick connect couples for the cooling unit, a plurality of VFD fans, a plurality of recessed wheels, a plurality of wireless sensors and a quick lock system for securing the thermal containment system. The thermal containment system may be employed to control air flow in the data center, isolating hot air expelled by a plurality of computer systems therein and conditioning the hot air with integrated cooling units that may be connected to a closed loop geothermal cooling system. The wireless sensors may be employed to collect data for a data center infrastructure management (DCIM) system that may monitor and manage elements of the thermal containment system.

Abstract: Systems and methods for intelligent data center power management and energy market disaster recovery comprised of data collection layer, infrastructure elements, application elements, power elements, virtual machine elements, analytics/automation/actions layer, analytics or predictive analytics engine, automation software, actions software, energy markets analysis layer and software and intelligent energy market analysis elements or software. Plurality of data centers employ the systems and methods comprised of a plurality of Tier 2 data centers that may be running applications, virtual machines and physical computer systems to enable data center and application disaster recovery from utility energy market outages.

Abstract: Embodiments disclosed include data center infrastructure management (DCIM) systems and methods configured to, collect data center compute systems, power systems, and facility systems data, trigger an action or actions based on a diagnosed or predicted condition according to the collected data, and thereby control via a compute, power, and facilities module, the compute systems, power systems and facility systems in the data center. According to an embodiment, the control via the compute, power, and facilities module comprises calibrating the compute, power, and facility systems based on an estimated compute requirement, and an associated power, cooling, and network data resource requirement. The estimated compute requirement comprises estimating compute density per real-time power wattage, and storage density per real-time power wattage.

Abstract: Waterborne data center facility systems and methods comprising a purpose-built marine vessel, a pre-fabricated data center facility structure, a plurality of computer systems, a plurality of energy-efficient water-based heat exchange systems, a plurality of energy efficient closed loop cooling systems, a plurality of data center modules and a plurality of electrical power generators. Described systems and methods may be employed to quickly deploy an energy-efficient waterborne data center facility. Described waterborne data center facility is transportable and may be moved to areas where data center facility and data center type services are needed. Water-based heat exchange and closed-loop cooling system enable energy-efficient cooling to data center facility and the plurality of computing systems therein. Power generators may be used to provide power to data center facility.

Abstract: A cooling apparatus and method comprising a heat exchanger in thermal communication with a plurality of computing devices, a single or plurality of filtered coolant intake pipes and corresponding coolant exhaust pipes in thermal communication with the heat exchanger via a configurable filtration unit. The apparatus and method includes a geothermal heat sink comprised in a geothermal field, structured to transport heat away from the heat exchanger via the filtered coolant intake and exhaust pipes, and a coolant pump operatively coupled to the coolant intake and coolant exhaust pipes in a coolant circuit and configured to transport heat absorbed by the heat exchanger to the geological heat sink comprised in the geothermal field.

Abstract: A computer system that uses artificial intelligence based neural networks, to monitor the security and cooling system of a computer network and to take automated remedial action based on the monitoring. The computer system autonomically learns behavior profiles of the cooling system, attack profiles and circumvention techniques used to target the network. The remedial action taken by the computer system includes calibrating the cooling system to maximize efficiency, isolating any misuse that has been identified, surveilling the misuse in the isolated environment, analyzing its behavior profile and reconfiguring the network to enhance security.

Abstract: Systems and methods for intelligent data center power management and energy market disaster recovery comprised of data collection layer, infrastructure elements, application elements, power elements, virtual machine elements, analytics/automation/actions layer, analytics or predictive analytics engine, automation software, actions software, energy markets analysis layer and software and intelligent energy market analysis elements or software. Plurality of data centers employ systems and methods comprising a plurality of Tier 2 data centers that may be running applications, virtual machines and physical computer systems to enable data center and application disaster recovery from utility energy market outages.