GPU Residual Value Insurance

What is GPU residual value insurance?

GPU residual value insurance (RVI) guarantees a minimum resale price for datacenter IT equipment: GPU servers, networking gear, and storage. If the hardware sells below the guaranteed price, the insurer pays the difference. If it sells above, the owner keeps the upside. Disposal can be triggered at any point during the policy term, with the guaranteed floor varying by year.

The product goes by several names: GPU value guarantee, GPU residual value protection, server resale price guarantee. The structure is the same in each case, a price floor backed by reinsurance.

The economic effect is similar to a residual value swap. While both create a price floor, the legal and regulatory framework is different. Swaps are bilateral over-the-counter contracts that carry counterparty credit risk. They need to be negotiated one at a time, and the counterparty (the party on the other side of the trade) can default.

On the other hand, insurance is subject to solvency regulation, must hold reserves, and file with regulators. Reinsurance further backstops the obligation, spreading risk across the global reinsurance market.

Residual value insurance has been used in aircraft, vehicle, marine, and heavy equipment financing for decades. American Compute applies the same proven structure to AI infrastructure, solving the problems that historically plagued technology RVI.

Why GPU values are hard to predict

NVIDIA releases new GPU architectures roughly every two years. Each generation delivers 2-3x the performance of the previous one, and previous-generation resale values typically drop 30-60% within 12-18 months of a new launch.^[1]

There is no standardized pricing index for used datacenter GPUs (at least for hardware, the hourly usage prices have several indices). Aircraft have ISTAT, which publishes monthly valuations for every airframe. Vehicles have Kelley Blue Book and Manheim auction data. GPUs have nothing equivalent. Price discovery depends on broker networks, direct negotiations, and whatever inventory is available at the time.^[2]

Truthfully, many industry stakeholders prefer this. Nvidia, and the OEMs benefit from the lack of pricing transparency, as it allows them to maintain higher margins.

Demand shifts add another variable. The AI training boom drove GPU prices above list during 2023-2024.^[3] As of early 2026, Blackwell production is ramping. Hopper resale values dropped in late 2025 as the market anticipated the transition, then rebounded as GPU supply tightened heading into 2026 and buyers moved to lock in available hardware.^[1] Inference workloads, which favor different hardware configurations than training, are growing faster. A fleet optimized for training may not command the same premium in an inference-first market two years from now.

A fleet of H100 servers worth $10M at purchase could sell for $3M or $7M in three years. The variables include NVIDIA's product cycle, AI demand trends, export controls, and competition from AMD and custom silicon.

That uncertainty is the specific problem residual value insurance solves. A guaranteed floor price converts an unpredictable asset into one with a known minimum value at any point during the policy.

How a policy works

1. You tell us the equipment: GPU model, server configuration, networking gear, and quantity. The Bill of Materials (BOM) is preferred.
2. We quote a guaranteed minimum resale price for each year of the policy and a premium.
3. You pay the premium upfront. Coverage begins.
4. When you decide to dispose of the equipment, at any point during the policy term, you sell on the open market during a 90-day sale window. The guaranteed floor for that year applies.
5. If the sale price falls below the guaranteed minimum for that year, we pay the difference to you or your lenders. If it clears above, you keep the upside.

We do not take possession of the hardware. You sell it yourself or work with a reseller. We can make introductions. Only good-faith attempts to sell are honored for payout.

Equipment must carry OEM or manufacturer warranty that aligns with the policy term. This protects both parties: if the hardware degrades from lack of maintenance, that is a separate issue from market depreciation.

What equipment is covered

American Compute insures the IT equipment inside the cluster, not just the GPUs. A typical AI cluster includes GPU servers, high-speed networking switches (InfiniBand or Ethernet), and storage arrays. All of this hardware depreciates on a technology cycle and has secondary market value. We cover it all under a single policy.

Facility infrastructure, including backup batteries, diesel generators, cooling systems, and building improvements, is excluded. These assets depreciate on a different curve. Our focus is the technology equipment that carries the most residual value uncertainty.

How the payout works

The guaranteed floor decreases each year of the policy. If you dispose of equipment in year 1, the floor is higher than in year 3. Drag the slider to see how different market conditions affect the payout.

Who uses GPU insurance

AI cluster operators

A guaranteed resale floor means you can plan tech refresh cycles with confidence: sell current-gen hardware at a known minimum, reinvest in next-gen. It also removes a common blocker when applying for financing, since lenders move faster when the collateral has a guaranteed value.

For operators who need financing, a guaranteed residual value accelerates the lending process. Lenders underwrite faster when collateral has a known floor, which means shorter timelines from term sheet to deployment.

Lenders and investors

GPU residual value protection converts uncertain collateral into a predictable asset. It allows you to underwrite against the guaranteed floor instead of a speculative estimate from an operator.

The practical effects: higher confidence and the ability to structure balloon payments at end of term.

Over $20 billion in GPU-backed debt exists as of early 2026.^[4] CoreWeave, Lambda, Nscale, Crusoe, and xAI have all used GPUs as collateral for debt facilities ranging from $500M to $7.5B.^[5][6][7][8] As this market grows, lenders are looking for tools to manage residual value risk.

Channel partners

Procurement specialists, VARs, financing groups, and advisors use GPU insurance to help their clients get projects funded. When a client's GPU cluster project stalls on financing, a guaranteed resale floor can unlock the loan.

Residual value insurance across industries

Residual value insurance is not new. The structure American Compute uses for GPU servers has protected asset values across aviation, automotive, heavy equipment, and marine financing for decades.

Aviation

Residual value insurance has supported commercial aircraft financing since the late 1990s. In exchange for a premium, the insurer guarantees the aircraft will be worth at least a specified amount at the end of the financing term. If the aircraft sells below that floor, the insurer pays the difference. This allows airlines and lessors to finance widebody jets with confidence that the collateral will retain a guaranteed percentage of its original value.

Enhanced Equipment Trust Certificates (EETCs) became the standard financing vehicle for airline fleet purchases. These securities, backed by aircraft as collateral, rely on predictable residual values. Over three decades, EETC cumulative loss rates have remained between 0% and 3.6%.^[9] ISTAT (International Society of Transport Aircraft Trading) publishes standardized appraisals for commercial airframes, giving lenders and investors a shared reference point.^[10]

The Cape Town Convention (2001) created an international legal framework for repossessing aircraft across jurisdictions.^[11] Combined with ISTAT valuations and residual value insurance, this infrastructure enabled billions in aircraft-backed securitization. In 2017, Marsh launched AFIC (Aircraft Finance Insurance Consortium) with Boeing, adding non-payment insurance to the toolkit and supporting over $6 billion in aircraft financings.^[12] A lender financing a Boeing 787 today can reference ISTAT base values, insure the residual through specialty insurers, and rely on Cape Town for cross-border enforcement.

Aviation RVI survived 9/11, the 2008 financial crisis, and COVID-19. During each downturn, aircraft values dropped temporarily, but the insurance structure held. Insurers paid out on policies where aircraft sold below guaranteed floors, and the reinsurance backing absorbed the losses. The industry recovered each time, and aircraft values stabilized within 2-3 years of each crisis.

Automotive

Every vehicle lease contains a residual value guarantee. The lessor sets a buyback price at the start of the lease, typically using forecasts from ALG (Automotive Lease Guide) or internal models.^[13] Manheim and ADESA process millions of vehicles per year through wholesale auctions, providing transparent price discovery that the entire industry uses as a reference.^[14]

Automakers have offered guaranteed trade-in programs for decades. When you lease a Honda Civic, Honda Motor Company is functionally writing a residual value guarantee: they are committing to buy the car back at a predetermined price in 36 months. If used car prices drop, the automaker absorbs the difference. Kelley Blue Book and Manheim auction data give both sides a shared pricing language.

The automotive industry demonstrates what mature residual value infrastructure looks like: standardized appraisals, high-volume secondary markets, and decades of actuarial data on depreciation curves. GPU servers are earlier on this same path.

Heavy equipment

Caterpillar, John Deere, and Komatsu offer guaranteed trade-in programs for construction and mining equipment. A contractor financing a $2M excavator can lock in a guaranteed buyback price at year 5, then use that guarantee to secure better loan terms from their lender.

Ritchie Brothers, the world's largest equipment auctioneer, processes billions in equipment sales annually. Their auction data provides the pricing benchmarks that lenders, insurers, and manufacturers use to set guaranteed values.^[15] Iron Planet (now part of Ritchie Brothers) extends this to online marketplaces.

Marine and shipping

Ship financing uses residual value structures to support the construction and acquisition of vessels worth $50-200M each. Clarksons Research handles over 30,000 vessel valuations per year, covering approximately $1.5 trillion in world fleet value,^[16] and VesselsValue provides daily market values with historical data back to 1992.^[18] Korean and Japanese shipyards have historically offered guaranteed buyback programs to incentivize new orders during market downturns.

Maritime assets share characteristics with GPU servers: high unit costs, technology-driven obsolescence (fuel efficiency standards, emissions regulations), and a global secondary market with specialized brokers. The financing structures that work for a Panamax bulk carrier also work for a rack of B200 servers, adapted for a faster depreciation cycle.

Why technology RVI failed before

Residual value insurance for technology equipment has been tried before. The best-documented case is Lloyd's of London's “J” policies, a form of RVI written on IBM mainframe leases in the 1970s. The product worked for five years, then produced the largest single loss in Lloyd's history at the time.

Lloyd's “J” policies

In 1974, a Texas leasing entrepreneur named Chris Christopher met with Lloyd's broker Peter Nottage and proposed a policy to address a specific financing problem. Banks would not finance IBM mainframe leases longer than four years because IBM might release a new model that made the current one obsolete, eroding the collateral value.^[18]

Under the proposed policy, if a lessee canceled a computer lease after the non-cancellable period, Lloyd's would pay the lessor any remaining balance owed to the bank. Lloyd's was insuring against technological obsolescence: guaranteeing the residual value of IBM System/370 mainframes if they were returned early. The product became known as the “J” policy in industry parlance.^[18]

Rapid adoption

The insurance market embraced the product. By the late 1970s, 57 Lloyd's syndicates and 17 British insurance companies were writing J policies. They collectively issued over 14,000 policies covering more than $1 billion in insured equipment value.^[19]

Itel Corporation, a San Francisco-based computer lessor, became the single largest user, accounting for roughly 48% of all J policies written. Citicorp, Chase Manhattan, and Bank of America also obtained coverage for their IBM mainframe lease portfolios.^[19] One leasing industry veteran later called it “a brilliant piece of financial jiggery-pokery” that supercharged the computer leasing business by making lenders comfortable with residual risk.^[18]

The IBM 4300 shock

In 1979, IBM released the 4300 series mainframe. It delivered higher performance at roughly 30% lower leasing cost than the prior generation. Organizations leasing older IBM System/370 mainframes canceled their leases to upgrade, triggering exactly the scenario Lloyd's had insured against: a massive wave of lease cancellations.^[19]

Itel alone anticipated over $100 million in claims.^[20] Federal Leasing Inc. of McLean, Virginia filed suit against Lloyd's in June 1979 after underwriters balked at prompt payment, seeking over $500 million in damages including punitive damages for bad faith.^[22]

Scale of losses

Time magazine reported in July 1979 that Lloyd's expected payouts to reach $225 million, making it “the biggest loss in its 291-year history” at that point. For context, Hurricane Betsy (1965) had been Lloyd's previous record loss at roughly $100 million.^[19] By late 1979, around $30 million had been paid with $220 million in reserves set aside.

The final numbers were worse. Aggregate claims exceeded $450 million, wiping out over half of Lloyd's entire market profit for the year.^[22] A 1985 Journal of Finance study confirmed it as the single largest catastrophic loss the market had ever faced.^[23]

Itel's collapse

Itel had used Lloyd's J policies, taken out between 1975 and 1978, to finance its portfolio of IBM-compatible systems. After the 4300 announcement, customers walked away from older System/370 leases. By August 1980, Lloyd's had paid Itel only $8.4 million against $21.5 million in submitted claims.^[24]

The slow payouts created a cash crisis. Itel sold ships, railcars, and an entire information services division to raise funds. The company filed for Chapter 11 bankruptcy in early 1981, a collapse attributed largely to the J policy meltdown and the rapid technology shifts that undercut its business model.^[24]

What went wrong

Three structural problems made the losses inevitable:

• No secondary market data. Underwriters priced residual guarantees using manufacturer projections, not resale transaction data. When IBM released a dramatically cheaper product, their pricing models were wrong by orders of magnitude.^[26]
• No domain specialization. Lloyd's syndicates underwrote technology residuals alongside marine, aviation, and casualty risks. Nobody on the underwriting side tracked IBM's product pipeline or understood technology depreciation cycles.^[26]
• Insuring leases with no use case ladder. J policies guaranteed the remainder of a lease, not the resale value of the hardware. When a lessee canceled, Lloyd's owed the full outstanding balance regardless of what the equipment was still worth. Worse, IBM mainframes had no secondary use case. A System/370 displaced by the 4300 could not be repurposed for a different workload at a lower price point. It was either leased as a mainframe or it was worth nothing.

After 1979, Lloyd's stopped writing J policies entirely. One underwriter remarked that he doubted any broker would “ever try to place this policy again at Lloyd's.”^[18] The episode became part of Lloyd's institutional lore, cited alongside asbestos and pollution claims as a factor in the market's near-collapse in the 1980s.^[22] New regulations in the late 1980s explicitly governed residual value guarantees as a class of business, reflecting the lessons of the J policy debacle.

How American Compute is different

American Compute was built to solve the problems that destroyed Lloyd's technology RVI syndicates. Every structural decision addresses a specific historical failure mode.

• Real secondary market data. We price guaranteed floors using actual GPU resale transaction data from broker networks, ITADs, and marketplace platforms. Our depreciation models are calibrated against thousands of real trades, not manufacturer projections.
• Single asset class focus. Our team works exclusively on AI infrastructure. We track NVIDIA product cycles, secondary market pricing, demand trends, and export controls as a full-time discipline. This is the domain specialization that Lloyd's syndicates lacked.
• Hardware resale value, not lease guarantees. We insure the resale value of the physical equipment, not the remainder of a lease. If the hardware sells below the guaranteed floor, we pay the gap. If it sells above, the owner keeps the upside. The exposure is bounded by what the equipment is actually worth on the secondary market, not an arbitrary lease balance. And unlike 1970s mainframes, NVIDIA datacenter GPUs have a use case ladder: training, inference, scientific computing, rendering, simulation. When training shifts to newer architectures, previous-generation hardware still has demand at lower price points for inference and other workloads.

What a guaranteed value means for financing

IT equipment makes up 60% or more of data center capex.^[26] Drilling down further into the cluster, the GPU servers alone will account for roughly 80% of total IT equipment costs.^[27] That concentration makes the residual value question unavoidable for any lender in the space.

Without insurance, lenders should discount GPU collateral when sizing a loan. Worst-case depreciation is feasible because of how quickly the industry and technology is changing. The result: smaller loans, shorter terms, higher equity requirements, and projects that stall in the financing stage.

With a residual value insurance policy, the insured floor becomes the baseline for collateral valuation. Instead of guessing what equipment will be worth in 2029, the lender knows the minimum at each year of the policy.

The benefits for lenders:

• Higher advance rates to lend more against the same hardware
• Longer terms, such as 3-year loans instead of 18-24 months
• Balloon payments by structuring a final payment against the guaranteed residual value
• Flexible disposal, because even if the borrower defaults mid loan term, the policy will still protect the lender

For projects having difficulty securing financing, residual value protection can move them from stalled to funded.

What to look for in a policy

GPU residual value insurance is a new insurance category. As more providers enter the market, the differences in how policies are structured will matter. Here is what to evaluate.

• Track record and underwriting expertise. Has the provider actually underwritten GPU residual value risk before? Pricing these policies requires deep knowledge of GPU depreciation curves, secondary-market dynamics, and technology refresh cycles. Favor providers with the deepest experience in this technology domain.
• Reinsurance backing. Who is the reinsurer, and what is their credit rating? The guarantee is only as strong as the balance sheet behind it. Look for A-rated or higher reinsurance capacity.
• Equipment scope. Does the policy cover only GPUs, or the full IT stack including servers, networking, and storage? A full-stack policy covers all equipment that carries residual value risk.
• Per-year guarantee schedule. What is the guaranteed floor at each year of the policy? The best policies provide a clear schedule with flexible disposal timing rather than a single exit date.
• Policy term. Does the term align with your financing or deployment timeline? Ask whether the provider can structure terms to match your specific use case.
• OEM warranty alignment. The policy should require OEM warranty coverage for the full term. Out-of-warranty hardware is a different risk category entirely.
• Sale window. How long do you have to sell the hardware after triggering disposal? Understand the timeline and whether it gives you enough room to run a proper remarketing process.
• Premium structure. How is the premium calculated, and when is it due? Ask about the cost as a percentage of equipment value and whether payment can be structured into your financing.
• Payout mechanics. How is the gap between guaranteed value and sale proceeds calculated? What documentation is required to file a claim?
• Exclusions. Understand what is not covered. Typical exclusions may include damaged or modified hardware, non-arm's-length sales, out-of-warranty equipment, and facility infrastructure like batteries, generators, and cooling.

Questions

What is GPU residual value insurance?

A financial product that guarantees a minimum resale price for datacenter IT equipment including GPU servers, networking, and storage. If the hardware sells below the guaranteed price, the insurer pays the difference. Also known as a GPU value guarantee, GPU residual value protection, or server resale price guarantee.

How much does GPU insurance cost?

Premium is approximately 1% of the hardware list price, paid upfront. For a $10M GPU fleet, the premium would be roughly $100K.

What equipment is covered?

American Compute covers all IT equipment in the cluster: GPU servers with NVIDIA B300, B200, H200, and H100 GPUs, networking switches, storage arrays, and related compute hardware. Facility infrastructure like batteries, generators, and cooling systems is excluded.

Can I trigger disposal before the end of the policy?

Yes. Disposal can be triggered at any point during the policy term, not just at the end. The guaranteed residual value differs per year of the policy. Earlier disposal years typically carry a higher guaranteed floor.

Is this the same as a GPU residual value swap?

Both create a price floor, but the structure is fundamentally different. A residual value swap is a bilateral over-the-counter derivative. You are exposed to the counterparty's credit risk, and if they default, the guarantee is gone. In comparison, insurance is subject to solvency regulation, must hold reserves, and is backstopped by reinsurance that spreads risk across the global reinsurance market. The regulatory and credit protections are not comparable.

Who pays the premium?

The equipment owner or borrower pays the premium. In financed deployments, the premium is often included in the project capital budget.

What happens if the hardware sells above the guaranteed price?

You keep the full upside. The policy only activates if the sale price falls below the guaranteed floor.

How is the guaranteed price determined?

The guaranteed price is based on our assessment of the equipment expected residual value at each year of the policy, factoring in technology cycle position, demand trends, and secondary market data. Each policy is individually quoted.

Can GPU residual value insurance be assigned to a lender?

Yes. The policy can name a lender as loss payee or additional insured. This is standard practice in equipment financing and mirrors how aircraft RVI policies have been structured for decades.

What size projects do you focus on?

We focus on projects around $30M in cluster cost, roughly 500 GPUs or 75 nodes, which is typically under 2.5 MW.

References

1. “Buying or Selling GPUs in 2026: Prices, Tips & Rent vs Sell Analysis.” GPUnex Blog, 2026.
2. “Secondary GPU Markets: Buying and Selling Used AI Hardware.” Introl Blog, 2025.
3. “The Illusion of Stability: Unpacking H100 GPU Market Value Trends.” SiliconData.
4. “Chipwrecked: Can Nvidia avoid the crash?” The Verge.
5. “CoreWeave Closes $2.6 Billion Secured Debt Financing Facility.” CoreWeave Investor Relations, July 2025.
6. “Lambda secures $500 mln loan with Nvidia chips as collateral.” Reuters, April 2024.
7. “Nscale Signs a $1.4bn Delayed Draw Term Loan Backed by GPUs.” Nscale Press Release, February 2026.
8. “Musk’s xAI raises $5 billion each in fresh debt and equity.” Reuters, July 2025.
9. “EETC Resilience: Updated Historical Recoveries Through Pandemic and Beyond.” KBRA.
10. ISTAT Appraisers Program. International Society of Transport Aircraft Trading.
11. “Cape Town Convention and Protocol.” ICAO, 2001.
12. “Aircraft Finance Insurance Consortium (AFIC).” Marsh, 2017.
13. “ALG Automotive Insights & Outlook.” JD Power / ALG.
14. Manheim Company Info. Cox Automotive.
15. “RB Global generates $4.1 billion in 2024 GTV.” Digital Commerce 360, February 2025.
16. “Ship Valuations.” Clarksons Research.
17. “Value.” VesselsValue.
18. Boothe, R. “A life in computer leasing: a personal view.” World Leasing Yearbook.
19. “Fabled Lloyd’s Takes a Bath.” Time, July 16, 1979.
20. Computer Weekly, June 1979.
21. “$500 Million Suit Filed by McLean Firm.” Washington Post, June 12, 1979.
22. “Lloyd’s of London.” Wikipedia.
23. McConnell, J. & Schallheim, J. “Lease Cancellation Insurance.” Journal of Finance, 1985.
24. “Itel Corporation.” Encyclopedia.com.
25. Cipolla & Spilka. “What Went Wrong at Lloyd’s?” Best’s Review, November 1980.
26. “AI Data Center Capex Breakdown and Future Outlook.” TrendForce.
27. “Cost Breakdown: 32-Unit GB200 GPU Cluster.” Canopy Wave.