#gaib As an ordinary user, GAIB impresses me the most by not engaging in AI concept hype, but by allowing everyone to share the real AI infrastructure dividends with low barriers to entry—core assets like NVIDIA GPUs and robots that used to cost millions of dollars can now be invested in for just a few dozen dollars. By 'tokenizing + on-chain', it has turned enterprise-level hardware from over 10 global Nvidia cloud partners (such as Siam.AI, GMI Cloud) into income-generating assets accessible to ordinary people. The platform's TVL has now exceeded 86 million dollars, which shows market recognition.

The way to participate is particularly simple: deposit USDT/USDC to exchange for AID synthetic stablecoins, 100% backed by US Treasury bonds + cash flow from GPU rentals. By staking to become sAID, you can earn dual returns—4-5% basic return from US Treasury bonds + hardware rental share, with debt-type annualized returns of 10-20%, and equity-type returns reaching over 40%. Meanwhile, assets like GPUs have a return cycle of only 12-18 months, with annualized ROI potentially reaching 100%.

What’s even more considerate is the flexibility and security: it supports over 13 public chains, and sAID can be unstaked after a 14-day cooling period, and can also be traded on DeFi protocols; Binance has already launched relevant trading pairs. The platform has 1.3-1.5 times over-collateralization, partners are rigorously vetted by Nvidia, with real-time audits on-chain, and funds are allocated by smart contracts, eliminating intermediary risks.

These types of infrastructure projects that connect the entire 'financing - construction - income - distribution' chain are often undervalued in short-term speculation-dominated markets: they do not chase hot topics or create artificial emotional consensus; they focus solely on building a solid underlying architecture, using transparent on-chain data, excessive collateral mechanisms, and traceable cash flows to construct a bridge between AI and Web3. @GAIB AI$GAIB #GAIB