Nvidia Corporation

William Ryan Weese

Ryan Kelsey Albright

William Andrew Mecham

Aaron Richard Carkin

Michael Thompson

Benjamin Goska

Elad Mentovich

Tahir Cader

Siddha Ganju

Jordan Levy

Elijah Chen

Fred Devoir

A method includes determining, using a processing device, a set of observations from coolant data, the coolant data being received from one or more sensors in an environment associated with a coolant. The method further includes determining, using a machine learning model and the set of observations, a contamination level of the coolant. The method also includes initiating an operation, using the processing device, responsive to determining the coolant contamination level.

Fluid inspection using machine learning

Methods, devices, and systems automatically monitor and mitigate contamination caused by particulate in air that enters a server enclosure during operation. A particulate sensor detects an amount of particulate in the air and, when the amount exceeds a predetermined particulate limit value, a filter is automatically moved into an airflow path between an environment outside of the server enclosure and an environment inside the server enclosure. In this position, air entering the server enclosure is caused to pass through the filter when the predetermined particulate limit value is exceeded. In addition to active filtering, detected contamination across several units of scale is mapped to generate an air quality trend. The air quality trend provides information to technical personnel about contamination events and can aid in addressing the source of contamination before damage occurs to a server.

Server dust sensor and filter mechanism

Apparatuses, systems, and methods for communication interfaces of a programmable part. In at least one embodiment, one or more communication interfaces are secured to a top side of a programmable part to provide programmable access to the programmable part after installation on a printed circuit board (PCB), the one or more communication interfaces to be selectively disabled based, at least in part, on a status of the programmable part.

Selective communication interfaces for programmable parts

Apparatuses, systems, and methods for verifying fingerprints associated with components to be installed on printed circuit boards (PCBs). In at least one embodiment, one or more processors determine whether a component fingerprint associated with a component to be installed on the PCB corresponds to an expected fingerprint, the component fingerprint based, at least in part, on a firmware version associated with the component.

Sparse programming image validation

Devices and methods for physical chip security are disclosed. In at least one embodiment, a security module is secured to a board to restrict physical access to an integrated circuit mounted on the security module and provides one or more contacts enabling data access to the integrated circuit.

Integrated circuit physical security device having a security cover for an integrated circuit

Devices and methods to update semiconductor components are disclosed. In at least one embodiment, a device updates semiconductor components independent of a semiconductor component operational state.

Semiconductor component update device

Configurations for interface panels are disclosed. In at least one embodiment, an interface panel includes removable receptacles to provide communication to rack components.

Modular interface patch panel

Configurations for communication interfaces are disclosed. In at least one embodiment, a processor includes one or more circuits to determine a firmware configuration for one or more server components and to transmit the firmware configuration at startup.

Run-time configuration loading

Configurations for rack connection systems are disclosed. In at least one embodiment, installation locations for one or more cables are determined and one or more indicators corresponding to installation locations are activated.

Cable identification and guided connections

Configurations for data center component monitoring are disclosed. In at least one embodiment, movement of a server component is determined based on sensor data and the movement is used to diagnose a root cause for a server component failure.

Movement data for failure identification

Systems and methods for datacenter are disclosed. In at least one embodiment, a system or method herein causes a process for a structure that includes a component tracking system, where such a system includes individual components within individual servers or individual racks, the process being based in part on at least location information and configuration information from one or more of an optical sensor or a radio sensor associated with a motile-support that is adapted for at least three dimensional (3D) movement in a space having the individual servers or the individual racks.

Growing community of inventors

Portland, OR, United States of America

William Ryan Weese