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AI infrastructure and GPU financing insurance

Finance the AI infrastructure opportunity. Insure the risk.

Artificial intelligence requires enormous investment in GPUs, data centres and high-performance computing infrastructure.

As businesses, lenders and investors finance this expansion, new risks are emerging around GPU depreciation, technological obsolescence, private debt and capital raising, customer contracts and the infrastructure supporting AI compute.

Elmore helps businesses, lenders and investors understand these exposures and structure insurance around the financial and operational risks of AI infrastructure.

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AI is changing infrastructure finance

The rapid development of artificial intelligence is creating demand for increasingly powerful computing infrastructure.

GPU clusters and data centres can require substantial upfront investment, increasingly supported by private credit, equipment finance, asset-backed lending and other structured financing arrangements.

But GPUs are unusual financial assets.

Their value can be affected by new generations of hardware, changes in performance and energy efficiency, secondary-market demand, utilisation and the commercial life of the technology they support.

At the same time, investors and lenders can be exposed to the financial strength of operators and customers, the accuracy of information provided during a capital raise and the operational performance of the underlying infrastructure.

Traditional Property, Cyber, D&O and liability insurance may address parts of this exposure, but they do not necessarily protect the financial risks associated with financing AI infrastructure.

Elmore helps identify these gaps and structure appropriate insurance solutions.

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Who is AI Infrastructure & GPU Financing Insurance for?
GPU and AI infrastructure operators

For businesses acquiring and operating GPUs, high-performance computing infrastructure and AI data centres.

Insurance can help protect the assets and operations supporting substantial infrastructure investment while also addressing liabilities associated with raising capital to finance expansion.

Typical organisations include:

  • GPU cloud and neocloud providers
  • AI infrastructure companies
  • High-performance computing providers
  • Data centre operators
  • AI model and platform providers
  • GPU-as-a-Service businesses
  • Technology infrastructure companies
Lenders and investors

For organisations providing debt, leasing, private credit or other forms of capital to AI infrastructure businesses.

Insurance can potentially address specific risks affecting the value, repayment or structure of a financing.

Relevant organisations can include:

  • Private credit funds
  • Banks
  • Equipment finance providers
  • Infrastructure funds
  • Asset managers
  • Institutional investors
  • Lessors
  • Structured finance providers
What can go wrong when financing AI infrastructure?

GPU depreciation and technological obsolescence

A new generation of GPUs or other computing technology can materially affect the secondary-market value of existing hardware. Where GPUs form part of the collateral supporting a financing, faster-than-expected depreciation can increase the lender’s potential loss following default or enforcement.
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Offering and disclosure liability

Capital raising can involve information memoranda, financial projections, asset valuations and representations concerning customers, utilisation, technology and future revenues. Investors may subsequently allege that information provided in connection with an offering was inaccurate, incomplete or misleading.
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Borrower default

An AI infrastructure operator may become unable to meet its financing obligations because of financial distress, loss of customers, increased costs or other adverse events. The recoverability and value of the underlying collateral then becomes increasingly important.
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Customer and offtaker failure

GPU financing may depend upon contracted revenues from customers using the underlying compute capacity. Customer insolvency, contract termination or non-payment can therefore affect the cash flows supporting a financing.
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Physical loss or damage

GPUs and associated infrastructure represent valuable and highly concentrated physical assets. Fire, flood, equipment damage, transit losses and other events can damage the assets supporting the financing.
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Cyber and technology failure

AI infrastructure depends upon interconnected technology, networks, software and data centre systems. Cyber attacks, security failures and technology outages can interrupt operations and affect revenue generation.
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Business interruption

A physical, technological or infrastructure failure can prevent GPU capacity from being made available to customers. Lost utilisation and revenue can affect both the operator and the financing arrangements supported by those cash flows.
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Construction, installation and deployment

GPU infrastructure can involve complex procurement, installation, power and cooling requirements. Delays or failures during deployment can postpone revenue generation and affect financing assumptions.
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How can AI infrastructure financing risk be insured?

AI infrastructure financing risk does not sit within one insurance policy.

Elmore can review the financing structure, underlying assets, counterparties and operational dependencies to identify where established and emerging insurance solutions can respond.

Private Offering Insurance

Protection against liability arising from a private capital raise or debt offering.

Cover can protect against claims alleging misstatements, omissions or other wrongful acts in offering documents and information provided to investors, subject to the policy terms.

For GPU and AI infrastructure financing, this can be particularly relevant where investors are relying upon representations concerning asset values, customer contracts, utilisation, projected revenues and the underlying technology.

GPU Residual Value Insurance

Residual Value Insurance can potentially establish an insured floor beneath the future value of financed GPU assets.

Where the realised value of eligible GPUs falls below an agreed insured residual value, the policy may respond to the defined shortfall, subject to the structure, valuation methodology and policy terms.

This can potentially reduce part of the collateral-value risk associated with technological obsolescence and accelerated depreciation.

GPU Residual Value Insurance is an emerging specialist market and availability, limits and structure will depend upon the assets, financing and available underwriting capacity.

Credit and non-payment insurance

Insurance can potentially protect against defined losses arising from borrower or counterparty non-payment.

For AI infrastructure financing, this could include exposures to operators, customers or other counterparties whose payment obligations support the financing.

Property and equipment insurance

Protection for GPUs, servers and associated infrastructure against insured physical loss or damage.

Coverage can extend across different stages of the asset lifecycle, including transit, installation and operation.

Cyber insurance

Protection against cyber events affecting AI infrastructure, networks, systems and data.

Cover can include incident response, restoration costs, third-party liability and business interruption following an insured cyber event.

Business interruption and operational risk

Insurance can protect against certain losses resulting from interruption to the physical and technological infrastructure required to operate GPU capacity.

Appropriate cover will depend upon the data centre, power, cooling, network and other dependencies supporting the operation.

AI Infrastructure & GPU Financing Insurance FAQs

Want to discuss your AI infrastructure financing?

Whether you are raising capital, financing GPUs, lending against AI infrastructure or investing in compute capacity, Elmore can help identify the financial and operational risks within the transaction and explore appropriate insurance solutions.

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