GAIB

• GAIB tokenises AI infrastructure such as GPUs and data centre equipment into yield-bearing on-chain assets.

• Investors finance real hardware and receive a share of the revenue it generates.

• GAIB is the protocol token.

• Total supply is 1 billion GAIB, with roughly 40% to core contributors and early backers vesting over three years, about 40% to growth and ecosystem, and the remainder to liquidity.

• Used for governance and access to financing products.

Pros:

• Financing productive hardware with identifiable revenue is more concrete than most yield sources.

• AI compute demand supports utilisation for the assets being financed.

• Combines real-world asset and AI themes with an actual underlying business.

Cons:

• GPU hardware depreciates rapidly as new generations release.

• Operator default leaves investors with physical assets that are hard to recover or resell.

• Utilisation assumptions may not hold if compute supply catches up with demand.

• Exposure to AI infrastructure financing with hardware backing.

• Revenue source is identifiable rather than abstract.

• Weigh depreciation and the practical difficulty of recovering physical collateral.

• Tokenised claims on the revenue of specific AI hardware, rather than generalised exposure to the AI theme.

• AI compute operators need capital for hardware and cannot access conventional equipment finance easily.

• On-chain financing supplies it, with investors taking hardware and utilisation risk directly.

• Founded by Kony Kwong and colleagues.

• Backed by Hack VC, Faction and Amber Group.

• No public ICO. Distributed through ecosystem and community allocations.

• GPU depreciation is rapid and accelerating.

• Physical collateral recovery is difficult across jurisdictions.

• Utilisation could fall if compute supply expands.

• Operator default is the primary loss scenario.