⚙️ The value of AI infrastructure is being underestimated, and @GAIB AI is redefining the price discovery of 'computing power assets'.
In the past, GPUs were just hardware.
But in the AI era, GPUs are productivity, sources of cash flow, and financial assets.
The goal of GAIB is to make all of this 'visible, priced, and usable' on the blockchain.
Key breakthroughs of GAIB:
• Computing power utilization → Revenue circulation
The computational gains from AI training tasks are brought onto the blockchain, allowing them to be split, staked, and traded.
• Mapping traditional AI infrastructure to on-chain asset models
The capacity of data centers and the utilization rate of GPU clusters, which were difficult to financialize, can now be standardized through the AID system.
• Building a real-time market for AI × finance
Utilizing on-chain transparency, create a revenue market that reflects the real GPU usage, allowing investors to gain immediate exposure to the AI economy.
• Lowering the funding threshold for AI institutions
Due to $GAIB
providing capital solutions, AI service providers can more easily scale their clusters without bearing huge upfront costs.
GAIB is not 'issuing tokens',
it is transforming AI computing power into a new asset class.
As the world enters the era of 'computing power competition',
GAIB is elevating the value of GPUs from the hardware layer to the financial layer, making AI computing a tradable liquid asset.
