Fuel, not gold — from digital gold to AI fuel

The Bitcoin network consumes about 26 GW of electrical power – more than all Big Tech cloud data centers combined. Annually, this is approximately 150 TWh – comparable to the energy consumption of an entire Argentina (population 46 million). Each of these watts goes into computing SHA-256 hashes – mathematical puzzles that solve no real-world problems.

The only function of SHA-256 in Bitcoin is to prove that the miner expended energy. This is called Proof of Work: “I burned electricity → here’s my hash → I have the right to add a block.” In 15 years, Bitcoin has not produced a single useful computation. Not a single neural network response, not a single scientific calculation, not a single processed transaction (apart from its own). All energy is payment for network security, and nothing more.

The contrast is striking: this energy could train thousands of AI models, process billions of neural network queries, and accelerate scientific research. Instead, 26 GW every second turns into heat, performing meaningless arithmetic operations. It is this gap – between expended energy and zero utility – that makes Proof of Useful Work such an attractive alternative.

Gonka fundamentally rethinks mining: instead of meaningless hashes, the GPU performs real AI inference. Each neural network request simultaneously serves a user and confirms a block in the blockchain. This is not “mining + AI on the side” – it is a unified process where useful work and consensus are inseparable.

How it works in practice: a user sends a prompt – for example, “write Python code to parse CSV.” The GPU on the MLNode generates a response via the Qwen3-235B neural network. This inference (processing of the request) is proof of work. Sprint consensus records the result in the blockchain, PoC V2 verifies the integrity of computations through cross-verification. Result: 99% of network resources go to useful work (AI inference), 1% – to cryptographic security.

This is not a compromise between security and utility – it is their unification. Bitcoin separates work (hashing) and utility (no utility). Ethereum separates staking (security) and computations (separately). Gonka unites them: the same computation simultaneously serves a client, confirms a block, and earns GNK for the host. Three functions – one GPU action.

Open competition among miners is the most powerful engine of progress ever created by a market economy. In 15 years, Bitcoin has gone through four generations of equipment, increasing mining energy efficiency by 300,000 times:

• 2009: CPU – ordinary processors, kilohashes per second
• 2010: GPU – video cards, megahashes per second (~1,000x increase)
• 2011: FPGA – programmable chips (another ~10x)
• 2013: ASIC – specialized microchips (another ~30x)

This growth was not planned by any single company. It happened because thousands of independent miners competed for rewards – each looking for a way to mine more Bitcoin cheaper. Market competition = the most powerful engine for optimization.

The same mechanism works in Gonka, but with a fundamental difference. Hosts compete for AI tasks, optimizing: GPUs (transition to new generations H100 → H200 → B100), software (inferenced optimization, model quantization, FP8 inference), network infrastructure (reducing latency, increasing bandwidth). The difference is that every efficiency improvement in Bitcoin makes mining coins cheaper – but does not create value. Every improvement in Gonka makes AI cheaper for all users – real value for a real market.

Bitcoin proved that a decentralized network can store hundreds of billions of dollars. This is a colossal achievement — a digital asset without a central issuer, which stores value more reliably than many national currencies. But Bitcoin has a fundamental limitation: it stores value, but does not create it. BTC is digital gold: valuable because people believe in its value.

Gonka goes a step further. Every GNK is not faith, but payment for real AI inference: for the work of a neural network, for a response received by a specific user, for a solved problem. When a company pays GNK for code generation — this is a real economic transaction that creates value. GNK is fuel, not gold.

The AI computing market is estimated at over $150 billion and is growing by 30%+ annually. This is not a speculative market for crypto enthusiasts — it is a real economy: companies pay for AI because AI increases productivity, reduces costs, and creates products. GNK is tied to this market through simple mechanics: more AI requests → more demand for GNK → higher fundamental value.

Philosophical conclusion: Bitcoin convinced the world that decentralized networks can be secure. Gonka convinces the world that they can be useful. Storing value (Bitcoin) vs creating value (Gonka) — this is the difference between digital gold and digital fuel. Both are needed. But the fuel market has always been larger than the gold market.