Draft:Huge Data
| Submission declined on 8 May 2024 by Grabup (talk). This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of websites). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia.
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Comment: Independent reliable sources needed to establish notablity. Grabup (talk) 02:41, 8 May 2024 (UTC)
Huge Data by Qubik
Huge Data is an innovative technology exclusively developed and managed by Qubik, enabling rapid access to extremely large datasets. For example, it can quickly retrieve a specific puzzle pattern from a dataset containing over 32 decillion (32 x 10^33) different patterns in less than 1/100 of a second. This dataset surpasses the total data stored on all hard disks worldwide, including every data center.
The technology utilizes a patent-pending puzzle (Patent 18/676,001) similar to the Rubik’s Cube, along with a proprietary algorithm and dataset technology. This system can retrieve any selected puzzle based on the minimum number of moves required to solve it, with the number of puzzles for each move count being known and selectable.
Qubik employs this technology to train, benchmark, and evaluate the reliability of artificial intelligence (AI) systems using unbiased data, making it ideal for machine learning and benchmarking applications. Qubik showcased this technology at the TECHSPO San Diego 2024 Technology Expo, highlighting its potential to industry leaders and tech enthusiasts. The company is officially registered and holds a business license in Carlsbad, CA. Additionally, Qubik is a member of the Microsoft for Startups Founders Hub, which provides support and resources to promising startups.
For more information, visit Qubik.AI.