Why now

The AI Infrastructure Market is Constantly Shifting

Demand is running ahead of supply, and the market has changed shape around it. Here's what's driving it, and why it matters to your next deal.

Quotes Don't Hold

Supplier pricing is typically held for 30 days or less. A number that's good today won't be there when the approval comes through.

Capacity is Sold
Before it's Built

Hyperscalers report oversubscribed GPU fleets, with older generations running at full utilisation. New allocations get committed well before they come online.

New Providers, Unknown Risk

Hundreds of GPU providers are now in the market. Working out which can deliver, and which will still be around in year two, is a full-time job.

Long Commitments Lock in Today's Price

Sign a three or five year hyperscaler deal without a plan and you're paying this year's rate until it ends. Start six months ahead of renewal and the options stay open.

Who we serve

Built for Every Seat at the Table

Up to 40%

Below market

<48 hrs

To a verified quote

40+

40+

Providers

Canopy Compute card featuring professionals reviewing GPU capacity options, with messaging about securing GPU compute up to 40% below market.

For Founders

GPU Compute at Up to 40% Below Market

We find GPU capacity that fits your workload and your budget, test it before you sign, and negotiate terms that won't box you in as you grow.

For Founders

GPU Compute at Up to 40% Below Market

We find GPU capacity that fits your workload and your budget, test it before you sign, and negotiate terms that won't box you in as you grow.

Canopy Compute card featuring professionals reviewing GPU capacity options, with messaging about securing GPU compute up to 40% below market.

For Founders

GPU Compute at Up to 40% Below Market

We find GPU capacity that fits your workload and your budget, test it before you sign, and negotiate terms that won't box you in as you grow.

Canopy Compute card featuring professionals reviewing GPU capacity options, with messaging about securing GPU compute up to 40% below market.

For CTOs

Tested on Your Workload Before You Commit

Shortlisted GPU providers run your real workload first. Throughput, interconnect and utilisation get checked before you commit, so the cluster you sign for is the one you get.

Canopy Compute card featuring professionals reviewing GPU capacity options, with messaging about securing GPU compute up to 40% below market.

For CTOs

Tested on Your Workload Before You Commit

Shortlisted GPU providers run your real workload first. Throughput, interconnect and utilisation get checked before you commit, so the cluster you sign for is the one you get.

Canopy Compute card featuring professionals reviewing GPU capacity options, with messaging about securing GPU compute up to 40% below market.

For AI leads

The Right GPUs for What You're Running

Training, fine-tuning or inference, we match your workload to the right GPUs, from H200s to the latest B300s and Vera Rubins, across 40+ providers, with verified quotes in under 48 hours.

Canopy Compute card featuring professionals reviewing GPU capacity options, with messaging about securing GPU compute up to 40% below market.

For AI leads

The Right GPUs for What You're Running

Training, fine-tuning or inference, we match your workload to the right GPUs, from H200s to the latest B300s and Vera Rubins, across 40+ providers, with verified quotes in under 48 hours.

Canopy Compute card featuring professionals reviewing GPU capacity options, with messaging about securing GPU compute up to 40% below market.

For Finance

A GPU Compute Cost You Can Forecast

We model the full compute (TCO) cost over the contract term, including ramp-up, exit terms and future pricing, so you can see the whole picture and defend the number to the board.

Canopy Compute card featuring professionals reviewing GPU capacity options, with messaging about securing GPU compute up to 40% below market.

For Finance

A GPU Compute Cost You Can Forecast

We model the full compute (TCO) cost over the contract term, including ramp-up, exit terms and future pricing, so you can see the whole picture and defend the number to the board.

Our offers

Our Offers

We help AI teams source, compare and secure GPU compute across 40+ providers, with every option tested and every contract negotiated before they sign.

Forward Compute

Lock in future GPU capacity on resalable forward contracts.

Monetise Idle Compute

Turn spare capacity into revenue with recall optionality.

Compute Assessment

Independent review of your current compute spend and structure.

Compute Assessment

Independent review of your current compute spend and structure.

Compute Marketplace

Compare and procure compute services across all major providers.

Compute Marketplace

Compare and procure compute services across all major providers.

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Partners ecosystem

We Know Who Holds the Capacity & Who Sets the Price

40+ providers benchmarked across our global network.

40+ providers benchmarked across our global network.

How it works

Built Around Your Workload

Every deal starts with what you need to run, not what a provider wants to sell. Then we test it, cost it and negotiate it.

Identify

We work out what the workload needs: GPU generation, scale, region, timing and how long to commit. Proof: verified quotes in 48 hours across 40+ providers. Geodesic's request grew from 4 nodes to 12 by folding a partner's requirement into the same deal, with the negotiated rate held on the extra capacity.

Identify

We work out what the workload needs: GPU generation, scale, region, timing and how long to commit. Proof: verified quotes in 48 hours across 40+ providers. Geodesic's request grew from 4 nodes to 12 by folding a partner's requirement into the same deal, with the negotiated rate held on the extra capacity.

Identify

We work out what the workload needs: GPU generation, scale, region, timing and how long to commit. Proof: verified quotes in 48 hours across 40+ providers. Geodesic's request grew from 4 nodes to 12 by folding a partner's requirement into the same deal, with the negotiated rate held on the extra capacity.

Test

Shortlisted providers run your real workload before anyone signs. Proof: Geodesic ran a 2-node proof of concept before signature. Cambridge Inference's providers were tested before capacity was secured.

Test

Shortlisted providers run your real workload before anyone signs. Proof: Geodesic ran a 2-node proof of concept before signature. Cambridge Inference's providers were tested before capacity was secured.

Test

Shortlisted providers run your real workload before anyone signs. Proof: Geodesic ran a 2-node proof of concept before signature. Cambridge Inference's providers were tested before capacity was secured.

Model

Total cost over the term, ramp, exit terms and forward pricing, laid out so finance can see the whole picture. Proof: every Geodesic quote was normalised against the full 24-month cost before comparing. Cambridge Inference's options were modelled over 3 years.

Model

Total cost over the term, ramp, exit terms and forward pricing, laid out so finance can see the whole picture. Proof: every Geodesic quote was normalised against the full 24-month cost before comparing. Cambridge Inference's options were modelled over 3 years.

Model

Total cost over the term, ramp, exit terms and forward pricing, laid out so finance can see the whole picture. Proof: every Geodesic quote was normalised against the full 24-month cost before comparing. Cambridge Inference's options were modelled over 3 years.

Negotiate

We go to the market in parallel and push on price, commitments and protections through to a signed contract. Proof: Geodesic at around 40% below market, with a 30-day acceptance period and a full refund if the cluster fails. Cambridge Inference at around 35% below market with Civo, in under 3 weeks.

Negotiate

We go to the market in parallel and push on price, commitments and protections through to a signed contract. Proof: Geodesic at around 40% below market, with a 30-day acceptance period and a full refund if the cluster fails. Cambridge Inference at around 35% below market with Civo, in under 3 weeks.

Negotiate

We go to the market in parallel and push on price, commitments and protections through to a signed contract. Proof: Geodesic at around 40% below market, with a 30-day acceptance period and a full refund if the cluster fails. Cambridge Inference at around 35% below market with Civo, in under 3 weeks.

Clients

Results Weโ€™ve Delivered for Clients

See how weโ€™ve helped businesses secure better compute, reduce costs and navigate complex procurement.

  • Geodesic Research Logo

    40%

    Geodesic Research secured 96 GPUs on a 24-month agreement at around 40% below market, with a 30-day acceptance period written into the contract.

    Canopy ran a competitive process and was a significant help in our procurement process: advising on contract norms, facilitating negotiations, and leveraging their established relationship with vendors to guarantee node reservation despite the many changes in our agreement.

    Alexandra Narin, COO of Geodesic Research
    Alexandra Narin

    COO

    Geodesic Research

    Geodesic Research Logo

    40%

    Geodesic Research secured 96 GPUs on a 24-month agreement at around 40% below market, with a 30-day acceptance period written into the contract.

    Canopy ran a competitive process and was a significant help in our procurement process: advising on contract norms, facilitating negotiations, and leveraging their established relationship with vendors to guarantee node reservation despite the many changes in our agreement.

    Alexandra Narin, COO of Geodesic Research
    Alexandra Narin

    COO

    Geodesic Research

  • Cambridge Inference Logo

    35%

    Cambridge Inference secured GPU capacity with Civo at around 35% below market, in under 3 weeks.

    Canopy has been a trusted partner as we've scaled our AI compute footprint. Their vendor-neutral approach and market expertise gave us confidence we were getting the right capacity at the right price, without the usual procurement friction.

    Lindley Lentati, Co-founder of Cambridge Inference
    Lindley Lentati

    Co-founder

    Cambridge Inference

    Cambridge Inference Logo

    35%

    Cambridge Inference secured GPU capacity with Civo at around 35% below market, in under 3 weeks.

    Canopy has been a trusted partner as we've scaled our AI compute footprint. Their vendor-neutral approach and market expertise gave us confidence we were getting the right capacity at the right price, without the usual procurement friction.

    Lindley Lentati, Co-founder of Cambridge Inference
    Lindley Lentati

    Co-founder

    Cambridge Inference

  • Geodesic Research Logo

    40%

    Geodesic Research secured 96 GPUs on a 24-month agreement at around 40% below market, with a 30-day acceptance period written into the contract.

    Canopy ran a competitive process and was a significant help in our procurement process: advising on contract norms, facilitating negotiations, and leveraging their established relationship with vendors to guarantee node reservation despite the many changes in our agreement.

    Alexandra Narin, COO of Geodesic Research
    Alexandra Narin

    COO

    Geodesic Research

  • Cambridge Inference Logo

    35%

    Cambridge Inference secured GPU capacity with Civo at around 35% below market, in under 3 weeks.

    Canopy has been a trusted partner as we've scaled our AI compute footprint. Their vendor-neutral approach and market expertise gave us confidence we were getting the right capacity at the right price, without the usual procurement friction.

    Lindley Lentati, Co-founder of Cambridge Inference
    Lindley Lentati

    Co-founder

    Cambridge Inference

A Founder's Pledge

Compute Sourced Responsibly

Canopy is a Member of the Open Cloud Coalition, Working for a Fair and Open Cloud Market

We give 1% to rainforest protection through Native Squared. Founder is a Founders Pledge member.

An Open Market

We're members of the Open Cloud Coalition, working for fair competition, open standards and fewer barriers for new providers. It keeps us independent, and it keeps the market honest for buyers.

An Open Market

We're members of the Open Cloud Coalition, working for fair competition, open standards and fewer barriers for new providers. It keeps us independent, and it keeps the market honest for buyers.

Canopy Protects the Canopies

1% to rainforest protection and restoration through our partnership with Native Squared.

Canopy Protects the Canopies

1% to rainforest protection and restoration through our partnership with Native Squared.

A Founderโ€™s Pledge

Our founder is a Founders Pledge member, committing a share of his future proceeds to philanthropic causes. It's a personal commitment that shapes how the company is run.

A Founderโ€™s Pledge

Our founder is a Founders Pledge member, committing a share of his future proceeds to philanthropic causes. It's a personal commitment that shapes how the company is run.

Sustainable Options on Every Shortlist

Where a lower-carbon provider can meet the workload, it's in the comparison. We show the trade-offs so you can weigh cost, performance and footprint together.

Sustainable Options on Every Shortlist

Where a lower-carbon provider can meet the workload, it's in the comparison. We show the trade-offs so you can weigh cost, performance and footprint together.

Articles

Stay on Top of the Compute News & Supply Changes with Canopy Codex

FAQ

The Questions Behind Every Compute Deal

What is GPU Compute Procurement?

GPU compute procurement is the process of sourcing, comparing and contracting GPU and cloud capacity for training and inference workloads. It covers working out what the workload needs, benchmarking providers, modelling total cost over the term and negotiating price, commitments and exit terms. Canopy runs this process on the buyer's side across hyperscalers, neoclouds and specialist GPU providers.

What is a Neocloud?

A neocloud is a cloud provider built around GPU compute for AI rather than general-purpose infrastructure. CoreWeave, Lambda, Nebius, Vultr and Civo are examples. Neoclouds often price below hyperscalers and offer newer chip generations sooner, but they vary widely in scale, financial stability and support, so due diligence matters more than it does with AWS, Azure or Google Cloud.

Why Do GPU Prices Keep Changing?

GPU prices move because demand for AI compute is running ahead of supply and capacity is often sold before it's built. Quotes are typically held for 30 days or less, new chip generations reset pricing every two to three years and hundreds of providers have entered the market with different cost bases. That's why a price that's good today usually needs to be locked or re-quoted within weeks.

Should We Use a Hyperscaler or a Neocloud for AI Workloads?

It depends on the workload, the term and the risk you can carry. Hyperscalers offer breadth, compliance and integration with services you already use. Neoclouds tend to offer lower GPU-hour rates and faster access to new generations. Many teams run both: a hyperscaler for the platform and a neocloud for training or inference capacity. An independent comparison on your own workload is the reliable way to decide.

What is a Take-or-pay Compute Contract?

A take-or-pay contract commits you to paying for an agreed amount of compute over a fixed term whether you use it or not. It's the standard structure behind reserved and forward GPU deals and the reason committed rates are lower than on-demand. The terms to negotiate are the ramp, the right to shift or resell capacity and the exit clauses.

What is Forward Capacity in AI Compute?

Forward capacity is GPU compute reserved for delivery at a future date, often before the cluster is built. Buyers use it to lock a price and a delivery slot for next-generation chips, and suppliers use the commitment to finance the build. It's the second phase of a two-phase plan: bridge on available capacity now, roll into reserved next-gen capacity when it comes online.

How Much Can You Save on GPU Compute?

Savings depend on where you start and how you buy. Canopy typically cuts cloud and compute spend by 10 to 30% against the incumbent quote, and buyers who run a competitive process have secured GPU capacity at around 40% below prevailing market rates, as Geodesic Research did. The biggest savings come from timing, commitment structure and competition rather than discounts on list price.

What Does Canopy Do?

Canopy helps AI teams source, compare and secure GPU compute.