AIGPU is the first blockchain to support the execution of decentralized AI models. It provides developers with a layer 1 network + a layer 2 network + free GPU computing power for AI system construction, which can reduce costs by 90% and shorten the development cycle, driving the development of the trillion-dollar decentralized AI market.

The total issuance of AIGPU tokens is 40 million
Token Usage: Supports AI GPU computing power and gas fees. Token destruction, staking for the development of DApps with large AI model capabilities, and governance voting.

Deflation model: By collecting free computing power mining tokens every day and destroying tokens through minting, long-term value is empowered.
Core features:
1) Based on Binance public chain + smart contracts
2) Privacy-focused AI deployment: Safely running decentralized AI models
3) Zero-cost GPU: Developers use 50% of the project's tokens to incentivize miners, subverting traditional cloud computing and allowing all miners around the world to participate in zero-cost computing power mining, creating global AIGPU miner traffic.
https://www.aigpu.club?inviteCode=jZWGxXZr

Growth Engines:
Integrate with Amazon Cloud and Google Cloud to expand global cloud GPU resources
Developers are pouring in + GPU network is expanding + token destruction is accelerating + ecological value is rising.

Future Potential:
As the infrastructure layer of decentralized AI, AIGPU establishes an AI explosion cycle and deflation model, and has long-term high growth potential.
Currently, AI GPU products have been fully deployed in the Chinese mainland market, with promotional tours and salons in full swing. According to the strategic plan, by the end of the first quarter of 2026, the number of operation centers in mainland China will exceed 10, forming a localized service network covering the core economic belt.
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2025-09-17 10 mins read 11784 Views
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2025-09-17 10 mins read 11784 Views
AIGPU is the first blockchain to support the execution of decentralized AI models. It provides developers with a layer 1 network + a