Launched in September 2025, the Mainnet now supports large models such as Qwen3-235B. Gonka operates as a Layer 1 blockchain network, and contributors are rewarded with GNK tokens.

The Vision of the Liberman Siblings and Investor Support

The project was founded by the Liberman siblings (David, Daniil, Anna, and Maria Liberman). The siblings previously sold a company to Snapchat for $60 million and founded Product Science, providing AI code optimization services for enterprises. They bring extensive entrepreneurial experience to Gonka.

Investors and Strategic Partners

Gonka has raised approximately $69 million in funding by the end of 2025. Notable investors include:

• Bitfury: $50 million investment in December 2025

• Coatue Management: Supports the project with OpenAI expertise

• Slow Ventures, K5, Hard Yaka: Additional investors strengthening the ecosystem

The funding supports network development and GPU provisioning.

Project Concept

Gonka’s core idea is to decentralize AI computation, making it both accessible and efficient. While most computing power in existing networks (e.g., Bitcoin mining) is wasted on meaningless consensus tasks, Gonka directs nearly all resources toward productive AI tasks, such as training and inference.

The project implements “Proof of Work 2.0”, maintaining blockchain security while providing developers with censorship-resistant, low-cost access. The goal is to make AI “unstoppable like Bitcoin” and to break the monopoly of tech giants such as OpenAI and Google.

How Gonka Works: Proof of Learning

Gonka operates via the Sprint mechanism. Every 10 minutes, Hosts solve Transformer-based tasks. Those producing results close to the target vector earn voting power and GNK rewards. During periods of low demand, dummy tasks keep computational resources engaged.

Training is conducted with DiLoCo distributed learning, where large model segments are shared across Hosts. Each Host trains its segment, enabling scalable and efficient network-wide AI computation. During each Sprint, participants attempt to find appropriate vectors using nonces, similar to Proof-of-Work, but the goal is AI model contribution, not block creation. Successfully generated vectors translate into GNK rewards and governance rights.

Security is ensured using random number generation, Threshold Cryptography, and Commit-Reveal mechanisms. Malicious activity is detected with state hashes and probabilistic validation, making the network secure and fair.

Governance

Gonka governance relies on Proof of Compute (PoC) weight. Each Host has a default 20% voting power, while the remaining 80% is activated through GNK collateral locking.

Decisions follow defined rules:

• Quorum: 33.4% participation

• Majority: >50% approval

• Veto: 33.4% disapproval

All proposals are on-chain, usually requiring collateral. The first 180 epochs are exempt from collateral requirements.

Roadmap 2026

Gonka plans to expand its network and ecosystem integration throughout 2026:

• Q1 2026: Testnet launch and first Proof-of-Learning Sprints

• Q2 2026: Mainnet launch and GNK token distribution completion

• Q3 2026: Sharding implementation and large model support

• Q4 2026: DApp integration and ecosystem partnerships expansion

GNK Token Utility

GNK tokens are used for:

• Rewards and incentives within the network

• Governance and voting rights

• Service access and AI model usage fees

Token Details

• Token Name: Gonka

• Symbol: GNK

• Total Supply: Fixed at 1 billion GNK

• Standard: ERC-20 or compatible

Token Distribution

• Core Incentive (Hosts): 680 million GNK (68%) – Epoch rewards for computation contributors

• Community Pool: 120 million GNK (12%) – For liquidity, ecosystem initiatives, and community programs

• Founders Allocation: 200 million GNK (20%) – Reserved for early founding team members

This distribution ensures sustainable growth while motivating both the community and founders.

Ecosystem

The Gonka ecosystem includes participants, validators, developers, and investors, providing:

• AI model training and validation

• Reward and governance systems

• DApp and third-party integrations

Designed as a transparent, secure, and sustainable distributed AI network.

Features

• Distributed AI Training: Large models trained across shared resources

• Proof-of-Learning: Measures and rewards computation contributions

• On-Chain Governance: Transparent blockchain-based management

• Sharding and DiLoCo: Model segments managed efficiently, enabling scalable training

• Security and Validation: Malicious contributions blocked via state hashes, probabilistic validation, and honeypots

Gonka aims to optimize AI computational resources, but technical challenges and optimizations continue. The network’s potential will be clearer as it scales and supports larger models.

Official Links

• Website
• Twitter
• Discord

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