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Zenqira

Zenqira is a decentralized computing platform that provides accessible AI training resources by connecting global computing providers with AI developers. The platform leverages technology and integrates with the to offer scalable and flexible computing solutions for AI applications. [1]

Overview

Zenqira offers decentralized computational power by interfacing with the , converting extensive computational bandwidth into FLOPS to provide scalable solutions for complex AI applications and technical tasks. This decentralized model ensures the availability of resources and reduces costs compared to centralized systems, meeting AI training demands efficiently. Zenqira’s community-driven platform rewards user contributions, fostering engagement and continuous data input for AI model refinement, making high-performance AI training accessible to a wider range of users. Security and transparency are ensured through technology, which provides secure, decentralized operations and clear, auditable records for compliance and accountability. [2][3]

ZENQ

ZENQ is the native of the Zenqira platform, used to reward and incentivize participants within its decentralized computing network. It enables users to access and contribute computational power to a global decentralized supercomputer, supporting advanced AI training and applications. Integrated with the , Zenqira optimizes the distribution and use of computing resources. Contributors of computational power to the network receive ZENQ tokens, promoting ongoing participation. ZENQ also facilitates transactions within the platform, allowing users to buy and sell computing power efficiently at low fees and high speed. [4]

Tokenomics

ZENQ has a total supply of 500M and has the following distribution: [5]

  • Ecosystem: 20%
  • CEX: 20%
  • Team: 20%
  • Marketing: 10%
  • Advisor: 10%
  • Multichain DEX: 6%
  • Development: 5%
  • Airdrop: 5%
  • Private Sale: 4%

Partnerships

  • Equinix
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  • Vtrading Global
  • CheersLand
  • Value
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Zenqira

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Edited On

September 5, 2024

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