Industry: AI Infrastructure

AI infrastructure funding and GPU financing

GPU clouds, inference platforms and sovereign compute companies raise equity for the business and borrow against their chips. We build the decks, models and lender materials that both kinds of investor read.

  • Equity decks and lender materials for GPU clouds and compute platforms
  • Models that tie utilisation and contracts to debt service
  • Waveup prepares investor materials for AI infrastructure companies: $3B+ raised for 600+ startups since 2014

In short

What is GPU financing?

GPU financing is debt secured by AI chips and the contracts that rent them out. GPU clouds use it to buy hardware, while equity pays for the team, software and first clusters. With strong contracts, it can earn investment-grade terms: in October 2026, Lambda borrowed against its GPUs at a fixed 6.78%.

Who it's for
GPU clouds, AI compute and inference platforms, AI infrastructure software; pre-seed to Series D+
What we build
Investor deck, financial model, valuation, lender materials, data room
Track record
$3B+ raised for 600+ startups since 2014

Market data checked on 8 November 2026. Sources are under each section.

Who is paying for AI infrastructure in 2026?

Three groups share the bill: customers on long contracts, equity investors and lenders. Investors fund the company, while lenders fund the chips once customers sign.

The opportunity

Demand for rented AI compute keeps growing, and more of it is signed years in advance.

  • Model labs and big tech firms sign multi-year deals for GPU capacity
  • Running models for users, called inference, is turning into a market of its own
  • Governments want AI compute that stays under their own laws

The problem

GPU clouds pay for chips long before customers pay for the capacity, so they borrow heavily. CoreWeave's debt reached $21.6B at the end of 2025.

Market size

How fast is the GPU cloud market growing?

Neoclouds, the clouds built around GPUs, earned more than $25 billion in 2025, Synergy Research estimates. Its forecast is close to $400 billion by 2031. Four forces drive that growth:

  • Signed demand: CoreWeave's revenue backlog reached about $104B by the end of June 2026
  • Big buyers: Meta made a new $21B commitment to CoreWeave in March 2026
  • Vendor credit: NVIDIA plans financing platforms to mobilise over $500B of outside capital, under memorandums signed in August 2026
  • Sovereign AI: Canada offers up to $700M for projects that expand AI compute at home
CoreWeave's quarterly revenue rose from $584M in Q3 2024 to $2,575M in Q2 2026.

AI infrastructure in 2026, in six numbers

+223%

growth in neocloud revenue in Q4 2025, against a year earlier

6.78%

fixed rate on Lambda's investment-grade GPU loan of October 2026

$3.5B

senior secured facility Nebius signed with Citi in October 2026

~$5.75B

raised by Nebius in convertible notes in August 2026

1.5 GW

of power in service at CoreWeave by the end of June 2026

Up to $1B

for public AI supercomputing in Canada's sovereign compute strategy

Venture capital

Where is venture money going in AI compute?

In 2026, rounds of a billion dollars or more went to GPU clouds and inference platforms. Most of these companies also borrow against their GPUs, so equity is only one part of each raise.

In Q3 2026, Crusoe raised $3.9B, Firmus $2.0B, FluidStack $1.5B and Fireworks AI $1.5B, by Dealroom's count.
79

unicorns in AI computing infrastructure, by Dealroom's count in October 2026

+366%

two-year growth in venture capital for AI computing infrastructure, per Dealroom

$1B

strategic investment in CoreWeave by Jane Street, reported with its Q2 2026 results

Who invests in AI infrastructure startups?

Seed funds, venture arms of chip and server makers, multi-strategy investors and private lenders for GPU fleets. A few names by type; our guide to AI venture capital firms lists more equity investors.

Investor
Type and base
AI infrastructure companies backed
Stage or cheque
Gradient
Seed fund for AI founders
Lambda (since 2017), Cerebrium AI, CentML
Leads at the earliest stages
Dell Technologies Capital
Corporate VC; invests in the US, Israel and Europe
RunPod, Hyperbolic
First cheque at seed or Series A
Intel Capital
Venture arm of chipmaker Intel
Anyscale, TrueFoundry, Prime Intellect
Not stated
Magnetar
Alternative asset manager, Evanston, Illinois
TensorWave (co-led its 2026 Series B); a $235M AI fund with reserved CoreWeave GPUs
Early to growth stage
Blackstone
Private credit
CoreWeave: debt facilities for its GPU fleet of $2.3B (2023) and $7.5B (2024)
Multi-billion-dollar facilities

Investor database

AI and deep tech investors in our database

The funds with the most AI investments. Pick a stage, or open a fund for its cheque sizes.

Top 5 by AI investments

  • Investments by industry

    • AI & Deep Tech28%
    • Software & Apps27%
    • Social media13%
    Rounds
    SeedSeries ASeries BSeries C+
    Average cheque
    $10M–$50MOver $50M
    Based in
    San Francisco, United States

    39 investments in total, 44 tagged AI & Deep Tech.Open the full fund profile

  • Investments by industry

    • AI & Deep Tech30%
    • Software & Apps24%
    • Fintech & Financial services6%
    Rounds
    Pre-seedSeedSeries ASeries B
    Average cheque
    $0–$100K$100K–$500K$500K–$1M
    Based in
    Palo Alto, United States
    Invests in
    USA

    45 investments in total, 19 tagged AI & Deep Tech.Open the full fund profile

  • Investments by industry

    • AI & Deep Tech27%
    • Software & Apps17%
    • Healthtech & Wellness15%
    Rounds
    SeedSeries ASeries BSeries C+
    Average cheque
    $100K–$500K$500K–$1M$1M–$3M$3M–$10M
    Based in
    Luxembourg
    Invests in
    Israel, Europe, USA +1

    31 investments in total, 16 tagged AI & Deep Tech.Open the full fund profile

  • Investments by industry

    • Software & Apps21%
    • AI & Deep Tech18%
    • Hardware. Robotics & IoT11%
    Rounds
    Pre-seedSeedSeries ASeries BSeries C+
    Average cheque
    $100K–$500K$500K–$1M$1M–$3M
    Based in
    Boston, United States
    Invests in
    USA

    94 investments in total, 14 tagged AI & Deep Tech.Open the full fund profile

  • Investments by industry

    • Software & Apps15%
    • AI & Deep Tech13%
    • Energy & Utilities7%
    Rounds
    SeedSeries ASeries BSeries C+
    Average cheque
    $500K–$1M$1M–$3M$3M–$10M$10M–$50M
    Based in
    Menlo Park, United States
    Invests in
    USA

    1260 investments in total, 13 tagged AI & Deep Tech.Open the full fund profile

From our investor database.

What do investors and lenders test in an AI infrastructure raise?

Our Fundraising 2025 study asked 56 VCs what makes them say no. Revenue growth, unit economics, burn and missed milestones came first, then defensibility and crowded categories. With GPU fleets, burn and unit economics turn into four questions from investors and lenders.

A few customers, most of the revenue

Big GPU contracts come from a handful of buyers. Microsoft brought in about 67% of CoreWeave's revenue in 2025.

What investors ask

  • What happens to your loans if your largest customer doesn't renew?

What your deck shows

  • Revenue by customer, contract length and credit rating
  • A plan that shrinks the top customer's share each year

Interest that grows with the fleet

Each new cluster adds debt before it earns revenue. CoreWeave's net interest expense was $640M in Q2 2026, more than double a year earlier.

What investors ask

  • Will each GPU pay off its loan before newer chips push its rental price down?

What your deck shows

  • Cash flow per cluster against its loan schedule
  • Utilisation and price cases that still cover the interest

Lenders want signed customers

Debt follows contracts, not chips. Nscale's $1.4B GPU-backed loan of February 2026 funds clusters for customers with signed contracts, plus some pipeline capacity.

What investors ask

  • How much of your capacity is under take-or-pay contracts today?

What your deck shows

  • Signed and pipeline capacity, cluster by cluster
  • Equity for the first loss, debt for the contracted rest

GPU clouds moving into your layer

Clouds now sell managed inference and tooling of their own. Nebius bought Inferize, an inference optimisation startup, in October 2026.

What investors ask

  • Why won't a GPU cloud or a model lab build what you sell?

What your deck shows

  • Your cost per token next to the big clouds' prices
  • Workloads that run across several clouds, not just one

How we help you raise

Flat fees agreed before we start. No success fee on advisory work.

    From $6,000

    Your capacity, contracts and edge over the big clouds, in one story.

    From $3,000

    Utilisation, GPU-hour prices, debt service and cash, cluster by cluster.

    From $5,000

    A range checked against listed neoclouds and recent compute rounds.

    AI seed funds, corporate venture arms and growth investors for your stage.

    Customer contracts, GPU orders and site papers, in the order lenders check them.

    Lender materials and CIMs for a debt raise, a sale or a strategic buyer.

Who we are

Waveup is a London-based fundraising and growth advisory, working in 60+ countries and 90+ industries. Since 2014 we have built the decks, models, CIMs and valuations behind $3B+ raised for 600+ startups. Our partner Olena Petrosyuk led commercial growth at Klevu, a VC-backed AI search company, through its 2025 exit into PSG's portfolio.

About us
Track record
$3B+
raised for 600+ startups
Decks
1,000+
decks since 2014
M&A
50+
M&A transactions supported, including 20+ exits
AI and data
10%
of our projects on record are in AI, data and software

AI infrastructure funding and GPU financing FAQ

What is a neocloud?
A neocloud is a cloud company built mainly to rent out GPUs for AI work. Synergy Research names CoreWeave, Crusoe, Core Scientific, Lambda, Nebius and Nscale among the leaders. Unlike AWS or Azure, they sell compute first, often on multi-year contracts with AI labs and big tech firms. Synergy estimates neoclouds earned more than $25 billion in 2025.
How is AI infrastructure financed?
Can a startup get GPU financing?
Who invests in AI infrastructure startups?
What is sovereign AI, and who pays for it?
How much does help with an AI infrastructure raise cost?

Raising for an AI infrastructure company?

Tell us how many GPUs you run, what is under contract and how much you need. We'll map which part fits equity and which part fits a lender.

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