EUTM file information

018442215

NVIDIA DOCA


March 29, 2021

Trademark Summary

The trademark application NVIDIA DOCA was filed by NVIDIA Corporation, a U.S. corporation (the "Applicant"). The application was published for oppositions on April 28, 2021, and it was registered by office on August 5, 2021 without any oppositions.

The application was filed in English (Italian was selected as the second language).

Change of name and professional address of the trademark registration was recorded on October 13, 2021.


Goods And Services

  • The mark was filed in class 9 with following description of goods:
    1. Software
    2. Software development kits (SDKs)
    3. Software development tools
    4. Software for use as an application programming interface (API) for use in building software applications
    5. Software for facilitating data transmission, data collection, data analysis, and decision-making
    6. Software for simulation, modeling and data processing for use in data visualization, data analysis, data mining, data interpretation, predictive analytics, accessing and editing large-scale data, interactive visual computing, design of information graphics, and maximizing graphics processing and performance
    7. Software for use in general purpose computation, manipulation of collections of data, data analysis, image content analysis, information analysis, data transformation, data input/output, communications, speech recognition, graphics display, modeling and testing for use in the fields of artificial intelligence, deep learning, high performance computing, distributed computing, virtualization and machine learning
    8. Software for data management, analytics and pattern and activity recognition
    9. Software that assists computers in deploying parallel applications and performing parallel computations
    10. Software for data centers for use in collecting, analyzing and reporting of computer network data
    11. Software, namely, knowledge-based artificial intelligence platforms, data analytics platforms, and automation platforms for use in the fields of advanced visualization, data acquisition, data analysis, data integration, artificial intelligence, machine learning, deep learning, high performance computing, distributed computing
    12. Software, namely, knowledge-based artificial intelligence platforms, data analytics platforms, and automation platforms for use in the fields of virtualization, natural language generation, statistical learning, supervised learning, un-supervised learning, data mining, predictive analytics, business intelligence, and computer vision
    13. Software for managing large scale data centers, data analysis, data storage, and storage system performance analysis
    14. Software for enhancing computer performance and for operation of integrated circuits, semiconductors, computer chipsets, micro-processors, graphics processing units, and data processing units
    15. Software for managing computer networks
    16. Software for deploying, distributing, configuring, testing, installing, upgrading, updating, customizing, debugging, and managing other software
    17. Software for data and application migration
    18. Software for accessing, browsing, sharing, defining, maintaining, virtualizing and communicating information over computer networks and servers
    19. Software for data storage and backup, database management, virtualization, networking, collaboration, remote access, remote support, cloud computing, data sharing, data security, access, administration and management of computer applications and computer hardware, and computer application distribution
    20. Software for scalable application and data management, for migration of applications and data, and for data backup, data restoration, and disaster recovery
    21. Software for the storage of electronic data
    22. Software for the collection, managing, editing, organizing, modifying, transmission, and sharing of data and information
    23. Software for artificial intelligence, machine learning, deep learning, natural language generation, statistical learning, supervised learning, un-supervised learning, data mining, predictive analytics, business intelligence, and computer vision.
  • The mark was filed in class 42 with following description of goods:
    1. Non-downloadable software
    2. Non-downloadable software development kits (SDKs)
    3. Non-downloadable software development tools
    4. Non-downloadable software for use as an application programming interface (API) for use in building software applications
    5. Non-downloadable software for facilitating data transmission, data collection, data analysis, and decision-making
    6. Non-downloadable software for simulation, modeling and data processing for use in data visualization, data analysis, data mining, data interpretation, predictive analytics, accessing and editing large-scale data, interactive visual computing, design of information graphics, and maximizing graphics processing and performance
    7. Non-downloadable software for use in general purpose computation, manipulation of collections of data, data analysis, image content analysis, information analysis, data transformation, data input/output, communications, speech recognition, graphics display, modeling and testing for use in the fields of artificial intelligence, deep learning, high performance computing, distributed computing, virtualization and machine learning
    8. Non-downloadable software for data management, analytics and pattern and activity recognition
    9. Non-downloadable software that assists computers in deploying parallel applications and performing parallel computations
    10. Non-downloadable software for data centers for use in collecting, analyzing and reporting of computer network data
    11. Non-downloadable software, namely, knowledge-based artificial intelligence platforms, data analytics platforms, and automation platforms for use in the fields of advanced visualization, data acquisition, data analysis, data integration, artificial intelligence, machine learning, deep learning, high performance computing, distributed computing
    12. Non-downloadable software, namely, knowledge-based artificial intelligence platforms, data analytics platforms, and automation platforms for use in the fields of virtualization, natural language generation, statistical learning, supervised learning, un-supervised learning, data mining, predictive analytics, business intelligence, and computer vision
    13. Non-downloadable software for managing large scale data centers, data analysis, data storage, and storage system performance analysis
    14. Non-downloadable software for enhancing computer performance and for operation of integrated circuits, semiconductors, computer chipsets, micro-processors, graphics processing units, and data processing units
    15. Non-downloadable software for managing computer networks
    16. Non-downloadable software for deploying, distributing, configuring, testing, installing, upgrading, updating, customizing, debugging, and managing other software
    17. Non-downloadable software for data and application migration
    18. Non-downloadable software for accessing, browsing, sharing, defining, maintaining, virtualizing and communicating information over computer networks and servers
    19. Non-downloadable software for data storage and backup, database management, virtualization, networking, collaboration, remote access, remote support, cloud computing, data sharing, data security, access, administration and management of computer applications and computer hardware, and computer application distribution
    20. Non-downloadable software for scalable application and data management, for migration of applications and data, and for data backup, data restoration, and disaster recovery
    21. Non-downloadable software for the storage of electronic data
    22. Non-downloadable software for the collection, managing, editing, organizing, modifying, transmission, and sharing of data and information
    23. Non-downloadable software for artificial intelligence, machine learning, deep learning, natural language generation, statistical learning, supervised learning, un-supervised learning, data mining, predictive analytics, business intelligence, and computer vision.
Trademarkers