Qubic is a next-generation blockchain platform built from the ground up to power artificial intelligence. In simple terms, Qubic is a decentralized network (a Layer-1 blockchain) that not only handles digital transactions without any fees, but also uses its computing power to train AI models for the pursuit of artificial general intelligence (AGI)
This ambitious goal is spearheaded by Qubic’s native AI project called Aigarth, which runs on top of the network. Together, Qubic and Aigarth form a symbiotic system: Qubic provides the high-speed, scalable infrastructure and economic incentives, while Aigarth focuses on evolving intelligent algorithms towards human-level AI.
Qubic uses a set of unique innovations: a new consensus method that relies on a group (or quorum) of nodes, a novel “Useful” Proof of Work (uPOW) that does meaningful computations, a deflationary economic model, and even running its software directly on hardware for maximum performance.
Star fact: Qubic has demonstrated a peak throughput of 15.5 million transactions per second on its mainnet, certified by security firm CertiK. This makes it the fastest blockchain ever recorded.
Key details of Qubic
| Topic | Summary |
|---|---|
| What is Qubic? | A Layer 1 blockchain that also powers AI training. It helps build decentralized Artificial General Intelligence (AGI). |
| When was Qubic first mentioned? | Qubic was first mentioned in 2012 in a bitcointalk.org by its founder Come-From-Beyond. |
| When was Qubic mainnet launched? | April 2022. |
| Who is the founder of Qubic? | Sergey Ivancheglo, Also known as Come-From-Beyond or simply CFB. He also founded NXT and IOTA. He created the first DAG protocol. And also one of many suspected candidate who could be Satoshi Nakamoto. |
| Unique Features | Feeless transfers, fast speeds, Useful Proof of Work, quorum consensus, bare-metal deployment, deflationary coin model. |
| Main Use | Handles transactions and also trains AI models via its own network. |
| Core Technology | Uses 676 validators (called Computors). At least 451 must agree to confirm a tick (like a block). |
| Useful PoW (UPoW) | Miners use computing power to train AI instead of solving random math. Energy is used for good. |
| Bare-Metal Deployment | Runs directly on hardware with no operating system. More secure and faster. |
| Token (QUBIC) | Used to reward validators and AI miners. Includes coin burns to reduce supply over time. |
| Transaction Fees | Zero fees for sending QUBIC coins between users. |
| Speed | Sub-second finality. Tested peak: 15.5 million transactions per second. |
| Energy Use | Energy powers AI development, not wasted mining puzzles. |
| Smart Contracts | Yes. Includes AI tools and oracles for real-world data. |
| Vs. Bitcoin | Bitcoin is slow, has high fees, and uses wasteful mining. Qubic is fast, feeless, and mining is useful for AI. |
| Vs. Ethereum | Ethereum uses staking and gas fees. Qubic uses quorum voting and has no fees. |
| Aigarth | The AI project built on Qubic. Uses evolution and self-modifying models to reach AGI. |
| AGI Target | Aigarth aims to reach Artificial General Intelligence by 2027. |
| Use Cases | AI training, smart insurance, micropayments, decentralized apps, feeless tipping, IoT payments. |
Qubic vs. Bitcoin vs. Ethereum
To understand Qubic’s uniqueness, it helps to stack it against the two most famous blockchains, Bitcoin and Ethereum. The table below highlights key differences:
| Feature | Bitcoin | Ethereum | Qubic |
|---|---|---|---|
| Launch Year | 2009 | 2015 | 2022 |
| Created By | Satoshi Nakamoto (pseudonym) | Vitalik Buterin & team | Sergey “CfB” Ivancheglo |
| Consensus Mechanism | Proof of Work (miners solving puzzles) | Proof of Stake (validators locking ether) | Quorum-Based Consensus (451 of 676 nodes must agree)+ Useful PoW for AI |
| Transaction Fees | Yes – can be high during congestion | Yes – gas fees vary, often high | Feeless for Qubic-to-Qubic transfers (no fees on basic transactions) |
| Speed & Finality | 7 TPS (transactions per second); 10 min to confirm | 15–30 TPS on mainnet; 12 sec block time (PoS finality ~minutes) | Ultra-fast: sub-second finality, tested up to 15.5 million TPS peak. |
| Smart Contracts | Limited scripting (no Turing-complete dApps) | Yes – supports complex dApps (Solidity on EVM) | Yes – supports advanced smart contracts and AI-driven apps (with built-in oracles) |
| Energy Use | Very high (miners use ~nation-scale electricity) | Low per transaction (validators use minimal energy) | Used for AI training (energy productive, not wasted) |
| Economic Model | Fixed supply cap (21 million BTC; deflationary after mining ends) | No hard cap (ETH supply varies; some ETH burned each tx) | Emission + Burns: New QUBIC issued to reward network, but coin burns gradually reduce supply over time. Max Supply 200 Trillion. |
| Unique Focus | Digital gold (store of value) | General-purpose platform (DeFi, NFTs, etc.) | AI supercomputer + blockchain: trains AI as it processes transactions. |
Potential Real-World Impact and Use Cases
- Decentralized AI Research
- Democratizing AGI Development
- Feeless Finance and Micropayments
- Smart Contracts with AI Oracles
- High-Performance Decentralized Apps
The project is still young and evolving, but its potential use cases stretch across both the blockchain realm (DeFi, NFTs, Web3 apps) and the AI realm (machine learning, robotics, data analysis) or even the intersection of the two (AI-driven decentralized finance, etc.).
Potetial Real-World Example: Think about healthcare research. Hospitals around the world could use Qubic to share the task of training an AI that detects diseases in X-ray images. Each hospital’s data stays local (for privacy), but miners in the Qubic network collectively train a global model by processing anonymized fragments of the task. The quorum consensus ensures results from different nodes agree, and the best model updates are accepted. No single hospital or company controls it, and every contributor is rewarded in QUBIC tokens for the compute they provided. The end result might be a highly accurate diagnosis AI accessible to all hospitals without any one entity having monopolized the training process. This kind of collaborative AI training simply isn’t possible on Bitcoin or Ethereum, but Qubic is built to handle it.
Qubic’s Aigarth
| Topic | Description |
|---|---|
| What is Aigarth? | Aigarth is Qubic’s native AI project designed to achieve decentralized Artificial General Intelligence (AGI). |
| Main Function | Uses Qubic’s Useful PoW to train and evolve AI models through global miner contributions. |
| Computing Model | Inspired by evolution and biology. Builds intelligence from simple “intelligent tissue” that evolves over time. |
| Learning Method | Self-modifying AI networks evolve using fitness scores and asynchronous updates (like digital natural selection). |
| Unique Feature | Uses ternary logic (-1, 0, +1) instead of binary to process information more efficiently in certain tasks. |
| Decentralization | Any miner can participate in training AI. No single company or lab owns or controls the AGI process. |
| Security & Validation | AI tasks and training results are validated through Qubic’s quorum consensus, ensuring accuracy and transparency. |
| Goal | To achieve AGI by 2027 through decentralized, community-driven intelligence development. |
Qubic Tokenomics
| Topics | Details |
|---|---|
| Token Name | QUBIC |
| Maximum Supply | 200 trillion QUBIC (200,000,000,000,000) |
| Unit Comparison | 1 QUBIC is designed to be as small and divisible as 1 Satoshi (Bitcoin’s smallest unit) |
| Use Cases | Network rewards, AI computation incentives, smart contract execution, potential governance roles |
| Transaction Fees | Zero fees for transfers between Qubic accounts |
| Reward Model | New QUBIC tokens are emitted regularly and given to Computors based on performance and consensus |
| Mining Rewards | Miners get rewarded indirectly by supporting Computors with AI computation power |
| Emission Control | Emission schedule is flexible and can be reduced through governance decisions |
| Deflationary Mechanism | QUBIC tokens can be burned via smart contracts and halving events to reduce total supply |
| Economic Goal | Balance inflation for rewards and deflation for scarcity, to support long-term token value |
References
DataGlobeHub makes use of the best available data sources to support each publication. We prioritize sources of good reputation, like government sources, authoritative sources, expert sources, and well-researched publications. When citing our sources, we provide the report title followed by the publication name. Where not applicable, we provide just the publication name.
- Performance Analysis Report For Qubic Mainnet – Certik
- A New Record in Blockchain Performance – Certik on X
- Qubic – Quorum-Based Coin – Bitcointalk
- Qubic Whitepaper – Qubic
- Qubic AGI Journey Human and Artificial Intelligence: Toward an AGI with Aigarth – ResearchGate
- How Qubic Ditched Blockchain’s Baggage To Achieved 40 Million TPS – The Crypto Times