Where does GNK token value come from

Every AI request in Gonka is paid for in GNK. This isn't an option — it's the only way to use the network; the token is baked into the protocol at the architectural level. The distribution mechanics:

• 80% of the payment goes to the host that processed the request — a direct reward for computational work.
• 20% of the payment goes to the community pool — a fund for ecosystem development.

The community pool is not a "founders' pocket." Its funds go toward: developer bounties (payment for bug fixes, new features, documentation), training new AI models (DiLoCo — distributed training across the network), and ecosystem grants (tools, integrations, SDKs).

AI request pricing is dynamic: the price is recalculated every block based on network load. Under high load (many requests, few free GPUs) the price is higher. Under low load it's cheaper. This is a market mechanism: hosts compete for tasks, and users get the optimal price. As a result, the cost of inference through Gonka comes to around $0.0069/1M tokens — roughly 720 times cheaper than $5/1M with OpenAI GPT-5.5.

The key principle: the more users send AI requests, the more GNK is needed to pay for them, the higher the demand for the token. This is a direct link between product usage and demand for the asset — something most cryptocurrencies lack.

A concrete example: a developer builds a customer support chatbot. Through OpenAI GPT-5.5 it costs $5—30/1M tokens (input/output). Through Gonka — $0.0069—$0.021/1M. At a volume of 100M tokens per month, the savings come to $500—3,000 (at September 2026 prices) — enough to cover a developer's salary. This savings is why businesses will switch to Gonka, and that business migration is why demand for GNK will grow.

Another factor: token velocity. GNK doesn't just "sit in a wallet" — it constantly circulates: users buy GNK for AI requests, and hosts earn GNK for their work. This active circulation creates constant market demand, unlike tokens that people buy and hold in hopes of price appreciation.

The global AI computing market is estimated at over $150 billion (2025) and is growing by 30%+ annually. This is not a forecast—it’s a trend confirmed by the spending of the world's largest corporations:

• Project Stargate (SoftBank + OpenAI): hundreds of billions of dollars for building giant data centers in the US.
• Microsoft: $80+ billion for AI infrastructure in fiscal year 2025 alone.
• Google, Meta, Amazon: each spends tens of billions annually on GPU clusters.

The problem: H100 generation GPUs become outdated in ~2 years with the release of H200, B100, B200. But corporations amortize them over 5-6 years, creating an accounting illusion of profitability. The real cost of AI computing is hidden behind accounting tricks. OpenAI's projected losses are $112 billion by 2030.

Gonka does not build data centers—it unifies existing GPUs worldwide. No hundreds of billions in capital expenditures. No amortization stretched over 6 years. If a GPU becomes obsolete, the host simply replaces it with a new one, and the risk is borne by the equipment owner, not the network. The distributed model scales without debt and without a bubble.

Important for investors: the demand for AI computing is not a forecast, but a fact. Every year, millions of new AI applications enter the market: chatbots, content generation, data analysis, medical diagnostics, autonomous agents. Each such application is a potential consumer of computing power. The market is not just growing—it's accelerating. And the more applications there are, the greater the demand for GNK as fuel for their operation.

A specific indicator: according to McKinsey, generative AI will add $2.6—4.4 trillion to the global economy annually. Every dollar of this value requires computing power. Gonka can provide some of this power—and every processed request generates demand for GNK.

It is important to understand: the more hosts connect to the network, the higher the competition for rewards in each sprint—early participants gain an advantage with fewer competitors.

A total of 1 billion GNK will ever be issued — a hard cap fixed in the code. There will never be more. Distribution:

• 800M (80%) — to hosts for real work (AI request computation). This is the reward for providing GPU power to the network.
• 200M (20%) — reserved for the founders with vesting. Vesting means gradual unlocking on a schedule — founders can't sell all their tokens at once.

Where fees go: as of network update v0.2.16 (October 2026), transfers, delegation and other standard transactions pay a fee — no less than 1 ngonka per unit of gas, about 0.0002 GNK for a regular transfer. The collected fees accumulate in the network's service account (fee_collector): the protocol neither burns them nor distributes them to validators. Burning happened once — in update v0.2.14: at that time the balance of this account, accumulated from erroneously credited inflation, was burned.

After the London upgrade (EIP-1559) in Ethereum (2021), part of the fees (the base fee) began to be burned. During periods of high activity the network burns more ETH than it issues — the token becomes deflationary (supply decreases). Gonka has no such mechanism: GNK's supply is limited by the issuance cap, not by burning.

How this differs from most cryptocurrencies: demand for meme coins and many DeFi tokens rests on expectations of price growth. GNK's demand is utilitarian — payment for AI requests — and its issuance is limited: together these form a fundamental economic model, not a speculative one.

For comparison: Bitcoin also has no burning — its supply is limited by the emission cap (21M) and halving every 4 years. GNK's issuance cap is 1 billion tokens. As use of the AI network grows, demand for the token grows while supply stays limited.

Current project metrics:

• GNK Price: ~$0.22 (SafeTrade, HEX OTC). There is no listing on major CEX (Binance, Coinbase) yet—TGE and Tier-1 listings are on the roadmap.
• Network: 584 GPUs, participants in the epoch: 22, MLNodes: 121.
• Inference cost: ~$0.0069 per million tokens. Comparison: OpenAI GPT-5.5 — $5/1M input (~720 times more expensive).
• Investments: ~$80M from Coatue, Bitfury ($50M Series B), Slow Ventures, K5, Insight Partners, Benchmark.
• Audit: CertiK — a leading company in Web3 security.
• Code: open source on GitHub (github.com/gonka-ai/gonka).
• Mainnet: launched in August 2025.

Prospects: TGE + Tier-1 CEX listings on the horizon. Governments (Uzbekistan, Bhutan) are considering integrating state data centers. The AI computing market is growing at 30%+ per year. The roadmap, approved by network voting, includes simplifying host connection and Confidential Computing—private inference in a secure environment.

Disclaimer: nothing in this article is financial advice. The price of GNK can go up or down. Only invest spare funds.

Investor context: GNK is at an early stage, similar to ETH in 2016–2017 or SOL in 2020–2021. The project has a working product, serious investors, and a functioning network—but it is not yet traded on major exchanges. Where you can buy the token today and how to withdraw it to your wallet is explained in the guide "How to buy GNK token". Historically, such projects have shown the most growth upon listing on Tier-1 CEXs. However, past performance does not guarantee future results. This is an early stage with associated risks.

For comparison with similar projects: Bittensor (TAO) — $2B market cap, but 60% of rewards go to stakers, not compute providers. Render (RNDR) — billions in market cap, but tied to the 3D rendering market, not AI. GNK is still in the early stages but is tied to the fastest-growing segment—AI inference.