Project Introduction

Gonka is a decentralized computing network designed specifically for AI reasoning and training. Contributors in the network earn GNK by providing GPU computing power to the network, developers can run AI applications without cloud restrictions or closed models, while users drive demand through reasoning.

Top Endorsements

The launch and development of the Gonka project are not without sources; it is backed by a strong founding team and industry ecosystem support. The project is incubated by the American AI developer Product Science Inc., founded by industry veterans from Web 2 and former Snap Inc. core product directors, the Liberman siblings.

Product Science has been a pioneer in the AI field since 2021, with clients including Walmart, JP Morgan Chase, and Airbnb among industry giants. In 2022, the company successfully raised $18 million, with a prestigious lineup of investors including a16z founder Marc Andressen, Chris Dixon, Arielle Zuckerberg, and Notion founder Akshay Kothary. The recognition from these top-tier capital and industry leaders has laid a solid foundation for Gonka's long-term development.

The early contributors to the project include well-known leaders in the Web 2-Web 3 space such as 6 blocks, Hard Yaka, Gcore, and Bitfury. The advisory team is equally impressive, featuring insights from Greg Kidd of Hard Yaka, Patrick Dai of Qtum, and Val Vavilov of Bitfury, providing valuable guidance for Gonka's strategic development.

Core Advantages

Gonka's innovation lies in its disruptive reconstruction of the traditional proof of work (PoW) mechanism. We firmly believe that PoW is the only consensus mechanism capable of incentivizing continuous improvement and efficiency in infrastructure, as evidenced by the development of Bitcoin. However, traditional PoW consumes computational power purely for network security, which is undoubtedly a massive waste.

Gonka's 'Sprint Consensus Protocol' perfectly addresses this pain point. It does not simply replace hash calculations with AI computations but deeply integrates network security with productive tasks. During the timed 'Sprint' phase, hosts prove their computational contribution by executing a Transformer model with parameters up to 20 billion. Voting weight is entirely dependent on computational workload, ensuring the fair principle of 'one unit of computing power, one vote.'

Project Vision

Gonka's vision is not just to provide computation. By combining user-friendly, performance-optimized, and decentralized infrastructure, the platform is committed to democratizing AI research and deployment. Small teams, independent developers, and even individual GPU owners can now participate in building and training AI models that were previously accessible only to large companies.

"This is not just about running AI tasks; it is about creating a network that drives innovation, improves hardware, and allows the AI ecosystem to evolve in ways that were previously impossible," Lieberman summarized.

With Gonka, truly decentralized high-performance artificial intelligence infrastructure is no longer a theoretical concept—it has become a reality, empowering developers and reshaping the AI landscape.