The rapid development of artificial intelligence is pushing the demand for computing power to unprecedented heights, but the underlying infrastructure faces profound structural dilemmas. Whether it is the monopoly and high costs brought by centralized cloud service providers or the significant resource waste present in existing decentralized networks, these have become bottlenecks for industry development. Gonka was born to address this core contradiction, dedicated to building a truly efficient and decentralized AI computing network.

Gonka's core vision is to ensure that every unit of computing power is invested in meaningful AI tasks, rather than wasted on pointless hash calculations or staking games. In this ecosystem, hosts earn rewards by contributing GPU computing power; developers are freed from the constraints of centralized cloud services and closed-source LLMs; and users create network demand directly by initiating AI inference requests.

Core Advantage: Disrupting Traditional Proof of Work Mechanism to Maximize AI Computing Efficiency

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 enhancement of infrastructure, as evidenced by the development history of Bitcoin. However, traditional PoW consumes computing power purely for network security, which is undoubtedly a huge 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 time-limited "Sprint" phase, hosts prove their computing power contribution by executing a Transformer model with parameters up to 20 billion. Voting weight is entirely dependent on the computational workload, ensuring the fair principle of "one unit of computing power, one vote."

This fundamentally distinguishes Gonka from other decentralized computing networks:

• Compared to Bittensor: In Bittensor, up to 60% of rewards flow to stakers who do not contribute computing power, resulting in computing power providers (like Subnet 64, which contributes the most advanced GPUs) receiving only a small portion of network rewards. Gonka's model allocates almost all rewards directly to computing power contributors, eliminating this unfair resource mismatch.
• Compared to Akash Network: Most of Akash's rewards also flow to stakers, failing to effectively subsidize AI computing infrastructure. Gonka draws on the economic incentives of Bitcoin PoW, reducing AI computing costs by 90% or more through block subsidies, thereby continuously incentivizing the GPU hardware ecosystem to achieve higher efficiency and performance.

Additionally, Gonka employs a probabilistic verification and reputation system, reducing verification costs to as low as 1-10% while maintaining strong network security, fundamentally eliminating waste of computing power.

Top Endorsements: Team and Ecosystem

The launch and development of the Gonka project are not without foundation; 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, including former Snap Inc. core product directors the Liberman siblings.

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

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

Economic Model and Fair Launch: GNK Token

Gonka's native token GNK is a tangible representation of the future core asset of AI computing power. Its total supply is fixed at 1 billion tokens and follows a release schedule similar to Bitcoin, roughly halving every four years. This scarcity-driven economic model aims to create long-term sustainable value for the network.

Gonka adheres to the principle of Fair Launch, and the only way to acquire GNK tokens is by contributing GPU computing power to the network (mining) or purchasing from the community pool. "The future direction of the network will be entirely determined by the community," the team states.

Currently, the Gonka testnet is open and continuously growing, with connected GPU computing power increasing by 50% each month. The project has also passed Certik audits. Gonka is redefining the future of decentralized computing with its unique model, providing a solid infrastructure for the next leap in the AI industry.

About Gonka.ai

Gonka is a new generation of decentralized AI infrastructure, aimed at fundamentally solving the problem of low efficiency in blockchain computing power, making advanced AI accessible to everyone. Based on a unique Transformer-based PoW mechanism, Gonka transforms 100% of GPU computing power into meaningful AI training and inference tasks, allowing developers to freely build applications while ensuring fair returns for computing power contributors. Gonka is incubated by the American AI pioneer Product Science Inc., with early contributors including 6 blocks, Hard Yaka, Gcore, and Bitfury, and an advisory team featuring Greg Kidd from Hard Yaka, Patrick Dai from Qtum, and Val Vavilov from Bitfury.

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