About 3 Trademarks found for “HYPERPOD”

Carbon dioxide detectors; electromagnetic frequency detectors; electromagnetic measuring detectors; light diodes; light emitting diodes; light meters; light-emitting diodes; light-emitting diodes [LED]; lighting ballasts; lighting control panels; motion detectors; organic light-emitting diodes; quantum dot light-emitting diodes [QLED]

Aquarium led underwater lights; aquarium lights; halogen light bulbs; led landscape lights; led luminaires; led underwater lights for aquariums; lighting fixtures; luminaires

Data center modules and computer room infrastructure equipment comprised of uninterruptable power supplies, power supplies, electrical switchgear, electrical switchboards, electrical distribution boards, electrical panelboards, electrical controls, electrical power distribution units, electrical ducts, electrical cables and electrical connectors, featuring cooling and ventilation components for hot-aisle and cold-aisle containment and exhaust, all of the modules and components of which are integrated with site-built construction; Rack enclosure for storing computer and power protection equipment and accessories; Power protection devices for sensitive electronic equipment, namely, uninterruptible power supplies, surge suppressors, electronic power transformers, inverters for power supply, power amplifiers, voltage regulators for electric power and voltage stabilizing power supply and rack enclosure for storing computer and power protection accessories; Data centers comprising of uninterruptable power supplies, power supplies, modular power supplies, AC power supplies, DC power supplies, DC-DC converters, inverters, batteries, transformers, rack enclosures, cabinets, IT pods, curtains, doors, frames, containment panels for use with computer systems, electrical ducts, cantilevers and related accessories to facilitate mounting of electric cables, electric power devices in the nature of electric power converters, electrical power connectors, power wires, power cables and power connectors, electrical panelboards, busway, copper wires and electrical distribution devices; Power protection devices, namely, uninterruptible power supplies, surge suppressors, power conditioners & monitoring accessories for sensitive electronic equipment; Software for controlling & monitoring power protection devices, namely, uninterruptible power supplies, surge suppressors, electronic power transformers, inverters for power supply, power amplifiers, voltage regulators for electric power and voltage stabilizing power supply; Computer software for use in monitoring and managing the lifecycle of physical datacenter infrastructure assets through implementation of specialized software, hardware and sensors; Computer software in the field of infrastructure management of a data center.

Downloadable computer software for machine learning and deep learning for training models using managed, persistent clusters; Downloadable computer software for machine learning and deep learning for experimentation, training, developing, building, testing, installing frameworks, and deploying software and applications; Downloadable computer software for machine learning and deep learning for training models with interactive debugging, start and stopping jobs with low latency, and retaining the same set of instance across training runs; Downloadable computer software for machine learning and deep learning for reducing foundation model training time; Downloadable computer software for machine learning and deep learning for streamlined distributed training for large training clusters; Downloadable computer software for machine learning and deep learning for a resilient training environment; Downloadable computer software for machine learning and deep learning for optimized utilization of cluster compute, memory, and network resources; Downloadable computer software for developing, deploying, updating and monitoring the performance of machine learning, deep learning and artificial intelligence applications.

Software as a service (SAAS) services featuring software for machine learning and deep learning for training models using managed, persistent clusters; Software as a service (SAAS) services featuring software for machine learning and deep learning for experimentation, training, developing, building, testing, installing frameworks, and deploying software and applications; Software as a service (SAAS) services featuring software for machine learning and deep learning for reducing foundation model training time; Software as a service (SAAS) services featuring software for machine learning and deep learning for streamlined distributed training for large training clusters; Software as a service (SAAS) services featuring software for machine learning and deep learning for a resilient training environment; Software as a service (SAAS) services featuring software for machine learning and deep learning for optimized utilization of cluster compute, memory, and network resources; Providing online non downloadable software for machine learning and deep learning for training models with interactive debugging, start and stopping jobs with low latency, and retaining the same set of instance across training runs; Providing online non downloadable software using data science, namely, artificial intelligence (AI), machine learning, deep learning, statistical learning and data mining, for experimentation, training, developing, building, testing, installing frameworks, and deploying software and applications; Software as a service (SaaS) services featuring software for developing, deploying, updating and monitoring the performance of machine learning, deep learning and artificial intelligence applications.