Nvidia faces lender doubts over AI chip collateral

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Nvidia faces lender demands

Highlights

Nvidia is pursuing a $500 billion financing plan.
Lenders want stronger protection on chip-backed debt.
GPU lifespan is central to the financing debate.

Nvidia has outlined a $500 billion financing initiative in which its chips could serve as collateral for loans used to expand AI computing capacity. Bankers and credit investors are questioning how much value those chips will retain and how long they can reliably generate revenue, prompting discussions about additional guarantees and customer contracts, Reuters reported.

Banks question how long GPUs retain value

The disagreement centers on the economic life of Nvidia GPUs. Nvidia argues that its high-end processors can remain productive for as long as a decade, giving them characteristics of infrastructure assets that can support longer-term financing.

Lenders are taking a more conservative approach. Banks commonly assume GPUs depreciate over roughly three to four years when assessing loans. Although large cloud companies have extended depreciation periods for servers, lenders have limited historical evidence showing what specialized AI chips will be worth many years after installation.

That uncertainty matters because collateral protects creditors when a borrower cannot repay. A chip that becomes obsolete faster than expected may be worth considerably less when a lender needs to recover its money.

Nvidia initially envisioned structures with limited support from the company, including deals carrying residual-value guarantees of no more than 25%. Some lenders now want broader guarantees or contracts with financially strong customers whose payments can cover the debt.

Existing deals offer lenders more protection

Recent transactions show why creditors are reluctant to rely on GPUs alone. CoreWeave secured an $8.5 billion investment-grade GPU-backed facility, but its credit strength depends heavily on contractual payments from Meta rather than solely on the resale value of the processors.

Another financing arrangement involving Broadcom and AI company Anthropic included Broadcom support for more than 80% of a $35 billion structure. Nvidia has also previously supplied a residual-value guarantee for financing connected with an SB Energy data center project in Ohio.

For Nvidia, stronger guarantees would not necessarily prevent the market from developing. Banking sources said demand for AI infrastructure financing remains high, and tens of billions of dollars of loans are already being considered. The difference is that early transactions may rely on several layers of protection instead of the chips alone.

AI expansion needs a deeper financing market

The dispute reaches beyond Nvidia. AI developers are spending heavily on processors, data centers, and electricity infrastructure, creating financing requirements too large to depend indefinitely on technology companies' own balance sheets.

If GPUs eventually become widely accepted as collateral, institutional investors and private lenders could provide another large source of capital for AI infrastructure. But the market first has to establish how quickly the hardware loses economic value and what happens when newer processors replace it.

For now, lenders appear willing to finance AI computing capacity, but with contracts, guarantees, and other safeguards supporting the hardware. That distinction will influence how easily the next phase of AI infrastructure can be financed.

We have previously highlighted that Nvidia expands its share buyback plan as a $150 billion authorization boosts capital return.

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