Orbitalx, a pioneering platform in the realm of decentralized artificial intelligence, has announced the launch of its native token, $ORB. This groundbreaking development marks a significant milestone in the fusion of AI training and blockchain technology, offering a secure and efficient solution for AI model development without compromising data privacy. The $ORB joins the growing ecosystem of AI tokens, setting itself apart with its focus on GPU-powered decentralized computing.
The Technology Behind Orbitalx
At the heart of Orbitalx’s innovation lies a powerful combination of cutting-edge technologies. By harnessing Federated Learning, Multi-Party Computation (MPC), and Zero-Knowledge Proofs (ZKPs), Orbitalx has created a robust framework that enables AI models to be trained on a decentralized network of GPUs while maintaining the highest standards of data security. This approach allows users to tap into a global pool of computational resources without exposing sensitive information, addressing one of the most pressing concerns in the AI development landscape. The platform’s use of GPUs ensures high-performance computing for complex AI tasks.
$ORB Token: Powering the Orbitalx Ecosystem
The $ORB token is designed to be the lifeblood of the Orbitalx ecosystem, serving multiple critical functions and distinguishing itself among AI tokens:
- Rewards: GPU contributors are incentivized with $ORB tokens for their participation in the network, encouraging the growth of GPU resources.
- Staking: Token holders can stake their $ORB to support network security and earn additional rewards.
- Governance: $ORB empowers community members to have a voice in the platform’s future development.
- Transaction Fees: The token will be used to cover fees for various operations within the ecosystem.
Tokenomics and Distribution
Orbitalx has carefully structured the $ORB token economics to ensure long-term sustainability and value. The total supply is capped at 100 million tokens, with a thoughtful allocation strategy:
- 35% dedicated to network rewards, incentivizing GPU providers
- 20% allocated for ongoing development of AI and GPU-related features
- 15% reserved for liquidity provision
To maintain a deflationary mechanism, a portion of transaction fees will be systematically burned, potentially increasing the token’s value over time. This approach sets $ORB apart from many other AI tokens in the market.
Upcoming Mainnet Launch
As Orbitalx prepares for its mainnet launch, the platform is poised to redefine the landscape of decentralized AI development. The imminent release will provide developers, researchers, and enterprises with a powerful toolkit to leverage global GPU resources while adhering to the principles of data privacy and security that are fundamental to Web3 philosophy. The launch will showcase how AI tokens can be utilized to create a thriving ecosystem for decentralized computing.
About Orbitalx
Orbitalx stands at the forefront of the decentralized AI revolution, offering a unique blend of privacy-preserving technologies and blockchain innovation. By creating a secure environment for AI model training on distributed GPU networks, Orbitalx is democratizing access to advanced computational resources while safeguarding user data. The platform’s commitment to privacy, security, and decentralization positions it as a game-changer in the AI development space. The $ORB token exemplifies the potential of AI tokens to drive innovation and collaboration in the tech industry. Crypto enthusiasts, GPU owners, and AI aficionados alike are encouraged to visit Orbitalx’s official channels for an exclusive look into the future of decentralized artificial intelligence and to learn how they can participate in this GPU-powered, AI-driven ecosystem.
Follow Orbitalx: TW: x.com/orbitalx_fi TG: t.me/orbitalx_fi
Media Contact:
Company Name: Orbitalx
Contact Name: Marcus Tan Wei Sheng
Company Email: partners@orbitalx.fi
Location: Singapore
Company Website: https://orbitalx.fi/
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No journalist was involved in the writing and production of this article.
