Core Scientific, Inc.

Core Scientific Operating Company

Kristy-Leigh Anne Minehan

Ganesh Balakrishnan

Evan Adams

Ian Ferreira

Carla Cortez

Thomas Fuller

Chandra Ponneganti

Gabrielle Gordon

A method for automated switching of workloads on computing devices to increase returns such as rewards or transaction fees in a cryptocurrency blockchain network is disclosed. A plurality of signals impacting the profitability of mining for a plurality of different cryptocurrencies and plurality of different mining pools are monitored. In response to the plurality of signals indicating a different cryptocurrency and mining pool combination is more profitable, the computing device workload is automatically switched. Switching cost may be calculated and used to prevent unprofitable switches. The signals may be used to train a machine learning model that may be used to predict future profitability for automatic switching.

Switching of workloads according to switchover cost

A datacenter including a first voltage sensor and/or first amperage sensor along with a second voltage sensor and/or second amperage sensor. The first amperage and voltage sensors are associated with a first computing device (FCD) and the second amperage and voltage sensors are associated with a second computing device (SCD). The datacenter also includes an electronic control unit (ECU) that communicates with the FCD and the SCD. The ECU is configured to receive FCD energy consumption information and additional updated FCD energy consumption information via the first voltage and/or amperage sensor(s). FCD energy consumption information is associated with energy consumed by the FCD during a first customer billing cycle. The ECU is also configured to divide a first blockchain mining reward into a first customer portion and a first datacenter portion and withhold the first customer portion when the first datacenter portion is less than a first minimum threshold.

Computing system and method

A system and method for participating in and operating a distributed computing pool are disclosed. Computing pools combine computational resources from a plurality of computing devices over a network by splitting jobs into smaller jobs and distributing those smaller jobs to the computing devices so that they can be solved in parallel with little or no overlap in the work performed. The computing devices attempt to find solutions to the smaller jobs. Solutions found are signed and submitted back to the pool. The pool uses the signature to confirm the true origin of the solution and that the solution has not been tampered with.

Work provenance in computing pools

Systems and methods for reporting health status for a plurality of computing devices such as within a data center are disclosed. A management device connected to the computing devices via a network executes a management application that periodically requests and receives status data from the computing devices. A pool checker may be used to track corresponding pool status data, and an environment checker may periodically request and receive environmental data from environmental sensors for temperature, humidity, and audio. A report generator creates health reports and assigns device health classifications based on the device status data, the environmental data, and the pool health data. The data may be associated with one or more locations and customers, permitting filtering of the report.

Health reporting for computing devices

A system and method for easily managing a data center with multiple computing devices such as cryptocurrency miners from different manufactures is disclosed. A first computer includes a management application to manage the selected computing devices and periodically read and store status information from them into a database. Controls are presented to enable selection of one or more of the devices and to apply an operating mode, including manual, semi-automatic, automatic, and intelligent modes. Machine learning may be used to determine recommended settings for the selected set of computing devices.

System and method for managing computing devices

A system and method for managing large numbers of computing devices such as cryptocurrency miners in a data center are disclosed. A three-dimensional (3D) model of the data center is created using machine-readable codes. The 3D model includes device and bin location information. Status data is captured from the computing devices, associated with location, stored in a database, and used to populate the 3D model, which is rendered in various two-dimensional and 3D views to provide the user with information helpful in managing the data center.

System and method for visually managing computing devices in a data center

A system and method for utilizing the processing power of computing devices such as smart devices are provided. The system includes one or more distributed smart devices and a management server that communicates with the smart devices in order to determine whether they are idle and whether viable compute tasks are present that can be performed on the smart devices based on the smart device's status, configuration, utility and network parameters, and availability. Some tasks may be performed in low power mode to save energy.

Growing community of inventors

Bellevue, WA, United States of America

Kristy-Leigh Anne Minehan