Abstract: Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexboxes, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed at a lower cost at a flexible datacenter, the computational operation is instead routed to the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably shared a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions.

Abstract: Examples relate to adjusting load power consumption based on a power option agreement. A computing system may receive power option data that is based on a power option agreement and specify minimum power thresholds associated with time intervals. The computing system may determine a performance strategy for a load (e.g., set of computing systems) based on a combination of the power option data and one or more monitored conditions. The performance strategy may specify a power consumption target for the load for each time interval such that each power consumption target is equal to or greater than the minimum power threshold associated with each time interval. The computing system may provide instructions the set of computing systems to perform one or more computational operations based on the performance strategy.

Abstract: Examples relate to adjusting load power consumption based on a power option agreement. A computing system may receive power option data that is based on a power option agreement and specify minimum power thresholds associated with time intervals. The computing system may determine a performance strategy for a load (e.g., set of computing systems) based on a combination of the power option data and one or more monitored conditions. The performance strategy may specify a power consumption target for the load for each time interval such that each power consumption target is equal to or greater than the minimum power threshold associated with each time interval. The computing system may provide instructions the set of computing systems to perform one or more computational operations based on the performance strategy.

Abstract: A system includes a flexible datacenter and an energy storage unit that receives and stores power from one or more grid-scale power generation units. The energy storage unit and the flexible datacenter are connected behind-the-meter to the power generation unit(s) such that they are not typically subject to grid transmission and distribution fees. By various methods, behind-the-meter power is routed between the power generation unit(s), the energy storage unit, the flexible datacenter, and/or the grid based on a variety of conditions and operational directives.

Abstract: Examples relate to flexible datacenters or other power loads tolerant of intermittent operation and configured to use power received behind-the-meter. A system may include a set of computing systems powered by behind-the-meter power and a datacenter control system. The datacenter control system may be configured to monitor a set of conditions that includes behind-the-meter power availability at the set of computing systems and perform a weighted analysis using the set of monitored conditions. Based on the weighted analysis, the datacenter control system may be configured to modulate operating attributes of one or more computing systems of the set of computing systems. In some examples, the datacenter control system is a remote master control system in communication with a datacenter control system of a flexible datacenter housing the set of computing systems.

Abstract: Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexible datacenters, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed more efficiently or advantageously at a flexible datacenter, the computational operation is instead obtained by the flexible datacenters for performance The critical datacenter and flexible datacenters preferably share a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions. A queue system may be used to organize computational operations waiting for distribution to either the critical datacenter or the flexible datacenter.

Abstract: A system includes a flexible datacenter and an energy storage unit that receives and stores power from one or more grid-scale power generation units. The energy storage unit and the flexible datacenter are connected behind-the-meter to the power generation unit(s) such that they are not typically subject to grid transmission and distribution fees. By various methods, behind-the-meter power is routed between the power generation unit(s), the energy storage unit, the flexible datacenter, and/or the grid based on a variety of conditions and operational directives.

Abstract: Examples relate to flexible datacenters or other power loads tolerant of intermittent operation and configured to use power received behind-the-meter. A system may include a set of computing systems powered by behind-the-meter power and a datacenter control system. The datacenter control system may be configured to monitor a set of conditions that includes behind-the-meter power availability at the set of computing systems and perform a weighted analysis using the set of monitored conditions. Based on the weighted analysis, the datacenter control system may be configured to modulate operating attributes of one or more computing systems of the set of computing systems. In some examples, the datacenter control system is a remote master control system in communication with a datacenter control system of a flexible datacenter housing the set of computing systems.

Abstract: In an example embodiment, a distributed power control system can include a datacenter and a remote master control system. The datacenter can include (i) computing systems, (ii) a behind-the-meter power input system configured to receive power from a behind-the-meter power source and deliver power to the computing systems, and (iii) a datacenter control system configured to control the computing systems and the behind-the-meter power input system. The remote master control system can be configured to issue instructions to the datacenter that affect an amount of behind-the-meter power consumed by the datacenter. The datacenter control system can receive, from a local station control system configured to at least partially control the behind-the-meter power source, a directive for the datacenter to ramp-down power consumption, and in response to receiving the directive, cause the computing systems to perform a set of predetermined operations correlated with the directive.

Abstract: Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexible datacenters, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed more efficiently or advantageously at a flexible datacenter, the computational operation is instead obtained by the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably share a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions. In some situations, a computational operation is supported by multiple datacenters in a redundant arrangement, such as multiple flexible datacenters.

Abstract: Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexible datacenters, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed more efficiently or advantageously at a flexible datacenter, the computational operation is instead obtained by the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably share a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions. A queue system may be used to organize computational operations waiting for distribution to either the critical datacenter or the flexible datacenter.

Abstract: Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexible datacenters, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed more efficiently or advantageously at a flexible datacenter, the computational operation is instead obtained by the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably share a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions. A queue system may be used to organize computational operations waiting for distribution to either the critical datacenter or the flexible datacenter.

Abstract: A system includes a behind-the-meter vehicle charging station. The vehicle charging station includes a vehicle-charging interface configured to supply the vehicle-charging power to a vehicle. The vehicle charging station further includes a communication unit configured to trigger a notification in response to a change in power availability. Additionally, the system includes a control system configured to modulate power delivery to the behind-the-meter charging station based on one or more monitored power system conditions or an operational directive.

Abstract: In an example embodiment, a distributed power control system can include a datacenter and a remote master control system. The datacenter can include (i) computing systems, (ii) a behind-the-meter power input system configured to receive power from a behind-the-meter power source and deliver power to the computing systems, and (iii) a datacenter control system configured to control the computing systems and the behind-the-meter power input system. The remote master control system can be configured to issue instructions to the datacenter that affect an amount of behind-the-meter power consumed by the datacenter. The datacenter control system can receive, from a local station control system configured to at least partially control the behind-the-meter power source, a directive for the datacenter to ramp-down power consumption, and in response to receiving the directive, cause the computing systems to perform a set of predetermined operations correlated with the directive.

Abstract: Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexible datacenters, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed more efficiently or advantageously at a flexible datacenter, the computational operation is instead obtained by the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably share a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions. In some situations, a computational operation is supported by multiple datacenters in a redundant arrangement, such as multiple flexible datacenters.

Abstract: A method includes, by a scheduling controller, receiving from a user a request for an application to be executed by a computing system associated with a data center, wherein the application includes a plurality of tasks, and wherein the request includes an estimated execution time corresponding to an estimated amount of real-world time that the tasks will be actively running on the computing system to fully execute the application. The method includes receiving from the user a service level objective indicating a target percentage of a total amount of real-world time that the tasks will be actively running on the computing system and generating, in response to determining that the job can be completed according to the service level objective and the estimated execution time, a notification indicating acceptance of the job.

Abstract: In an example embodiment, a distributed power control system can include a datacenter and a remote master control system. The datacenter can include (i) computing systems, (ii) a behind-the-meter power input system configured to receive power from a behind-the-meter power source and deliver power to the computing systems, and (iii) a datacenter control system configured to control the computing systems and the behind-the-meter power input system. The remote master control system can be configured to issue instructions to the datacenter that affect an amount of behind-the-meter power consumed by the datacenter. The datacenter control system can receive, from a local station control system configured to at least partially control the behind-the-meter power source, a directive for the datacenter to ramp-down power consumption, and in response to receiving the directive, cause the computing systems to perform a set of predetermined operations correlated with the directive.

Abstract: Examples relate to a method includes monitoring a set of parameters. The set of parameters are associated with a first set of computing components and a second set of computing components. The first set of computing components is located in a first region and the second set of computing components is located in a second region. The first region is positioned proximate a generation station control system associated with a generation station and the second region is positioned remotely from the generation station control system. Each computing system of the second set of computing systems is configured to adjust power consumption during operation. The method also includes adjusting power consumption at one or more computing components of the second set of computing components based on the set of parameters.

Abstract: Examples relate to adjusting load power consumption based on a power option agreement. A computing system may receive power option data that is based on a power option agreement and specify minimum power thresholds associated with time intervals. The computing system may determine a performance strategy for a load (e.g., set of computing systems) based on a combination of the power option data and one or more monitored conditions. The performance strategy may specify a power consumption target for the load for each time interval such that each power consumption target is equal to or greater than the minimum power threshold associated with each time interval. The computing system may provide instructions the set of computing systems to perform one or more computational operations based on the performance strategy.

Abstract: A system includes a flexible datacenter and a power generation unit that generates power on an intermittent basis. The flexible datacenter is coupled to both the power generation unit and grid power through a local station. By various methods, a control system may detect a transition of the power generation unit into a stand-down mode and selectively direct grid power delivery to always-on systems in the flexible datacenter.