GPU compute brokerage

GPU capacity, brokered with intent.

We connect data centers and GPU providers with AI companies, cloud platforms and enterprises. We check every provider, negotiate the commercial terms and can introduce financing partners.

Talk to us
Services

Everything a compute deal needs, in one place.

From finding the right capacity to a signed contract.

Capacity brokerage

GPU cloud, bare metal and colocation, matched to your term, location and start date.

Due diligence

We run hard due diligence on every provider before we make an introduction.

Commercial terms

We negotiate price and service terms for compute. Legal, site and power terms are agreed directly between provider and customer.

Finance

We introduce specialist lenders and equipment-finance partners for data center and hardware projects. Financing is agreed directly between you and them.

Two sides, one deal

Capacity on one side. Demand on the other.

GPU capacity is spread across many operators. We know where it is and who needs it, and we bring both sides together.

For AI teams and enterprises

Get the compute you need, when you need it.

  • Access to GPU capacity beyond the big clouds.
  • Options that fit your timeline and location.
  • We run hard due diligence on every provider before we make an introduction.
  • We negotiate price and service terms for you.
  • No fee to you: we are paid by the provider.
Talk to us
For data centers and GPU providers

Fill your capacity with qualified customers.

  • Introductions to AI companies with real demand.
  • A commercial partner without building a sales team.
  • We negotiate price and service terms within your minimums.
  • Long-term, discreet relationships.
Talk to us
Finance

Financing partners for what you are building.

  • Introductions to lenders and equipment-finance partners.
  • For data center builds, compute and hardware.
  • For providers growing capacity and AI teams scaling clusters.
Talk to us
For referral partners

Know a company that needs compute? Bring it to us.

Brokers and advisors with the right relationships can work with us. Every introduction counts.

Talk to us
Pricing

Reserved GPU capacity, priced per GPU-hour.

Every deal is quoted for its volume, term and location. Tell us what you need and we send you current options from verified providers.

  • Per GPU-hour on reserved capacity, in USD.
  • Longer terms, lower rates. Contracts typically run from 1 to 5 years.
  • Volume matters. From single nodes to full clusters.
  • Deposit and payment terms are agreed with the provider.
Get a quote
GPU familyBest forPricing
NVIDIA GB300 / B300Latest generationLarge-scale trainingGet a quote →
NVIDIA H200 / H100Hopper generationTraining and inferenceGet a quote →
NVIDIA RTX PRO 6000Workstation classInference and fine-tuningGet a quote →
ColocationYour hardware, our partners' sitesHosting your own hardwareGet a quote →
Quotes in USD, based on current provider availability
How it works

From first call to running GPUs in four steps.

The same process every time, so nothing gets lost between the first call and deployment.

Onboarding form

Tell us who you are and what you are looking for. It takes two minutes.

NDA

Every conversation is confidential from the first call.

Brief and match

You tell us what you need, or what you have, and we find the right counterpart.

Sign and deploy

We stay involved until the GPUs are running.

14–16 weeks from contract signature, depending on client BOM.
Why Ardent

A partner for the AI infrastructure era.

Speed

We move fast and respect your time.

Verified capacity

We only bring options we have checked.

Discretion

Your information stays between us.

FAQ

Questions we hear often.

How does Ardent get paid?

Providers pay us when a deal closes. There is no fee for AI teams.

What size of deployment do you work with?

Mostly dedicated capacity, from a few nodes to multi-thousand-GPU clusters, on terms from a few months to several years.

Which GPUs and locations do you cover?

Current NVIDIA generations, including Blackwell, Hopper and RTX PRO, mainly in the United States and Europe, depending on what providers have available.

How long until capacity is live?

Capacity that already exists can be ready in days or weeks. A new dedicated cluster typically takes 14–16 weeks from contract signature.

Who do we sign the contract with?

You sign directly with the provider. We negotiate price and service terms for you and stay involved until the GPUs are running.

Is our information kept confidential?

Yes. We sign a mutual NDA before any details are shared, and we only introduce you to providers you have agreed to.

I can introduce clients or data centers. Can we work together?

Yes. We work with brokers and advisors under a written agreement, with registration of each introduction and transparent fees.

Team

The people behind Ardent.

Rodrigo Grijalba

Rodrigo Grijalba

CEO

Has led a telecommunications services company as CEO since 2017 and is Managing Partner of a holding company that acquires and grows established businesses. Co-founder of Ardent Compute.

LinkedIn
Talk to us

Tell us what you need, what you have, or who you know.

Two minutes to fill in. We come back to you with next steps.

Talk to us