Source published November 9, 2026, at 19:00 (UTC+8). This article reflects the figures and developments reported at that time, not current market conditions. Original analysis: @PinkBrains_io; Chinese translation and compilation: AididiaoJP, Foresight News.
GPU-backed lending connects two very different timelines: computing businesses need years to repay hardware loans, while token holders may want their money back much sooner. USD.AI attempts to bridge that gap using stablecoin funding, loans secured by graphics processing units, and a marketplace for selling loans to other lenders.
For readers following its tokens, the important distinction is between USDai, sUSDai and CHIP. They occupy different positions in the financing structure, and growth in GPU lending does not automatically translate into a higher token price.
Why GPU operators seek onchain credit
The source describes a financing gap among smaller “neoclouds”—cloud businesses focused on renting out GPUs. Large operators can obtain bank financing, while businesses with only a few hundred GPUs often cannot.
According to American Compute, 110 publicly disclosed GPU and data-center financing transactions had raised $197 billion since 2023, with 92% raised during 2025 and 2026. Banks dominated: of 49 transactions identifying their lenders since July 2025, 32 were led by JPMorgan, Goldman Sachs, Morgan Stanley or MUFG.
The economics of reviewing a loan help explain the gap. Citing The Token Dispatch, the source notes that bank due-diligence costs do not fall proportionately with transaction size. Costs that are manageable on a $1 billion loan can make a $30 million transaction unattractive.
Demand for computing capacity nevertheless remained strong in the reported period. Silicon Data’s neocloud index showed hourly B200 rental prices rising from $5.78 on September 28 to $6.47 on October 27. H100 rental prices were reportedly 45% above the previous December’s level, despite newer Nvidia chip generations becoming available.
That combination—rental demand, expensive hardware and uneven access to bank credit—created an opening for stablecoin-funded lenders.
How USD.AI’s loans work
USD.AI uses stablecoin deposits to finance loans secured by GPUs and rental contracts. Its October report listed 20 financings totaling $531 million, ranging from several hundred thousand dollars to $128.9 million.
The borrower typically places the GPUs in a special-purpose vehicle, or SPV: a separate legal entity holding the equipment and associated obligations. USD.AI holds a first-priority lien over the servers and the SPV’s equity, giving it a senior claim on that collateral.
Loans generally cover 70%–80% of hardware costs. Borrowers supply the balance, and funds remain in escrow until server installation is verified. Rental income then services the debt.
The offer is principally access and speed, rather than cheaper borrowing. USD.AI said loans could close within seven days. Its published pricing ranged from 7% for investment-grade rental contracts to 15% for deployments without contracts. Among 15 loans tracked from January through August 2026, rates ranged from 10% to 15%, with a 12% median. The source put comparable fixed-rate bank borrowing for below-investment-grade borrowers at roughly 9%–10%.
If a borrower defaults, the first options are to replace the operator within the SPV or sell the operation as a whole. Selling individual servers through an IT asset-disposal firm is a fallback.
The source likens this to vehicle financing rather than a mortgage: GPUs can become outdated within two or three years. USD.AI loans typically run for about three years. Its listed eligible collateral included B200, B300, GB200, GB300 and VR200 chips, plus AMD’s MI455X and MI430X. A residual-value warranty costs 150 basis points annually—1.5 percentage points—deducted from yield to cover part of the resale risk.
Three tokens, three different roles
USDai: the non-interest-bearing token
The source describes USDai as backed 1:1 by PYUSD, whose reserves include US Treasuries. USDai itself does not earn interest.
That backing arrangement is distinct from the GPU loan exposure associated with staking.
sUSDai: exposure to lending income and credit risk
Staking USDai produces sUSDai. The associated vault finances loans and accumulates interest. According to the source, sUSDai holders—not holders of unstaked USDai—bear the GPU credit risk.
Redemptions are processed in batches every 30 days and depend on available liquidity. This is important because the underlying loans typically last around three years: a redemption window is not the same as a guarantee that all holders can exit immediately.
The stated yield target, called the CHIP Hurdle Rate, was 7%. On November 1, sUSDai’s annualized yield stood at 6.53%; USD.AI contributed approximately 128,000 USDai to bring it to 7%. Average yield from January through early June 2026 was reported as 7.0%. These figures describe a target and historical outcomes, not a guaranteed return.
Why did borrowers pay a median of roughly 12% while depositors earned around 7%? The source identifies three factors:
- The annual 150-basis-point residual-value warranty cost.
- A protocol charge equal to 10% of interest.
- Cash awaiting deployment earning Treasury rates rather than GPU loan rates.
DefiLlama showed October fees of $4.87 million and protocol revenue of $487,000, consistent with that 10% share.
CHIP: a token linked to a buyback mechanism
CHIP’s connection to the lending business comes through purchases funded by protocol income. The source says 100% of the sUSDai net interest margin, after CHIP Foundation costs, was allocated to programmatic CHIP purchases.
There was no fixed purchase amount or timetable. Origination fees remained with USD.AI Inc., although surplus funds could be used to purchase CHIP. The fee switch for USDai was not activated.
These arrangements describe a token-purchase mechanism. They do not establish a guaranteed payment to CHIP holders, and the supplied report does not specify equity ownership or governance rights attached to CHIP.
GLX: selling loans to recycle capital
Holding a three-year loan ties up capital and retains its default risk. It also creates a mismatch with depositors’ 30-day redemption cycle. A queue can slow withdrawals, but it cannot eliminate that mismatch.
GLX, launched on October 1, was designed to recycle funding. A loan initially funded through sUSDai can establish a record of timely repayments and then be sold, freeing cash for another loan. Outside lenders can also participate at origination.
On October 29, Silver Point Capital and Victory Park Capital joined USD.AI in a $106 million, four-year loan to NexGen Cloud for 1,728 B300 GPUs in Finland. The source reported more than $200 million in cumulative GLX volume.
The sale rules matter for understanding where value goes:
- The normal minimum sale price is par, quoted as 100.
- A price of 100.5 or above is commercial guidance, not a mandatory minimum.
- A 99.5 floor is permitted only when redemption requests still exceed available cash after the 30-day queue.
- Loan-sale gains are split 60% to USD.AI Inc. and 40% to the Yield Reserve, which supports sUSDai’s 7% target.
- Discounted sales do not participate in that gain-sharing arrangement.
- Buyers cannot have an economic affiliation with the proposer.
For example, selling a $10 million loan at 100.5 creates a $50,000 gain, split $30,000 and $20,000. Re-lending the $10 million at USD.AI’s quoted 2%–3% origination fee could generate another $200,000–$300,000. Those origination fees accrue to USD.AI Inc.; they are not automatically CHIP buyback funding.
The source also described an early loan exit. USD.AI lent $98.1 million to Duos Edge AI on June 5, 2026, for three years against 2,304 B300 chips. Recourse was limited to the SPV and chips, not its parent, Duos Technologies. In September, Axe Compute bought the SPV and repaid approximately $87.8 million. This returned most of the financing in less than four months, allowing capital to be redeployed.
Buybacks, issuance and the limits of scale
Using the October 26 buyback price, the source valued CHIP’s circulating supply at approximately $90 million: 2 billion tokens at $0.0448 each.
It estimated annual programmatic purchases at about 2.5% of circulating supply using the preceding 12-month average, or approximately 6.5% using the then-current pace. Those were rate-based estimates, not commitments.
Separately, on October 26—two days before the buyback route began—USD.AI Inc. manually spent 1 million USDC on approximately 22 million CHIP at an average price of $0.044756, roughly 1.1% of circulating supply.
Reward emissions had declined from 3% in Season 1 to 2.25% in Season 2. The stated long-term objective was for purchases to exceed reward issuance, after which rewards would shift to a monthly, revenue-funded arrangement. That objective had not been presented as an assured outcome.
The market-share calculations were also conditional. The source reported $48.4 billion of GPU-backed debt raised in 2026, with onchain lenders holding less than 1%. At roughly 12% loan interest and a 10% protocol share, it estimated that each 1% of that market could fund around $5.8 million in annual CHIP purchases. This was scenario arithmetic, not a forecast of market share or token returns.
What token holders still need to distinguish
GPU lending depends on both borrowers’ ability to pay and the continuing value of their equipment. New chip generations could reduce rental income and resale prices together. Smaller neoclouds—the borrowers underserved by banks—were also among those exposed to industry consolidation.
There is a separate liquidity risk: tradable or redeemable token positions do not make multi-year loans instantly liquid. GLX provides a way to sell loans, but its pricing rules still recognize that cash shortages may require a discount.
The central distinction is therefore functional: USDai is the non-yielding base token; sUSDai carries lending exposure; CHIP is linked to a revenue-funded buyback policy. More lending may increase protocol income, but costs, idle cash, defaults, loan sales and new token issuance all affect that relationship. Business growth alone does not establish that CHIP’s price will rise.