An Honest Answer to the Only Question That Matters Before You Spend: Build, Rent, or Both?

We model your training and inference profile against current CoreWeave, Nebius, Lambda and Crusoe pricing and a five-year owned-asset case — utilisation, power cost, refresh cycle, financing — then recommend. If the answer is rent, we tell you that.

CUMULATIVE COST · BUILD VS RENTMonth 14–18RentBuildBreakeventhen 40–60 % saved / yrYears
5-yr
owned-asset TCO horizon
4+
neocloud rate cards benchmarked
2–3 wks
to a board-ready recommendation

Who This Is For

  • CTOs and CFOs facing a seven- or eight-figure cloud commitment and asking what owning would cost
  • Teams whose rented GPU bill has crossed the line where capex looks cheaper
  • Boards and investors who need an independent view before approving a build
  • Companies with mixed workloads that may belong partly in the cloud and partly on their floor

What's Included

Workload Profiling

Training cadence, inference volume, utilisation patterns and growth scenarios captured from your actual usage data.

Rent-Side Model

Current on-demand, reserved and committed rate cards from the major neoclouds and hyperscalers, with egress, storage and support included.

Build-Side Model

Hardware, facility, power, cooling, staffing, maintenance and financing for an owned cluster, with a realistic refresh cycle.

Sensitivity Analysis

Break-even against utilisation, power price, GPU pricing trends and financing cost so you understand what moves the answer.

Hybrid Design

Where it fits, a baseline-owned plus burst-rented architecture with the operational model to run it.

Recommendation Package

Board-ready report, financial model and, if the answer is build, a sized design basis and budgetary estimate.

Reference Specifications

Starting points. Every engagement is engineered to the workload, site and budget in front of us.

InputsCloud bills and usage exports, planned model and product roadmap, power tariff, site options, financing terms
Rent benchmarksCoreWeave, Nebius, Lambda, Crusoe and hyperscaler GPU pricing, refreshed at engagement start
Build modelCapex, opex, staffing, maintenance, 3–5 year refresh, residual value, financing (cash, lease, debt)
OutputsFive-year TCO comparison, break-even curves, sensitivity tables, hybrid scenario, written recommendation
FormatExecutive report, editable financial model, presentation to leadership or board

How We Deliver

  1. 1

    Data Gathering

    Weeks 1

    Usage data, roadmap, constraints and site options collected; assumptions agreed.

  2. 2

    Modelling

    Weeks 1–2

    Rent and build cases built and stress-tested; hybrid options explored.

  3. 3

    Recommendation

    Weeks 2–3

    Findings presented, questions worked through, final report and model delivered.

Questions We Get Asked

Is this just a sales step toward a build?

No. The engagement is priced and delivered independently of any build contract, and a meaningful share of our recommendations are to keep renting or go hybrid.

Do you include the cost of our own staff to run a cluster?

Yes. Staffing or managed-operations cost is a line in the build model, because an owned cluster without an operating plan is not a fair comparison.

How current are the rate cards?

We refresh neocloud and hyperscaler pricing at the start of every engagement and show the date on every table.

Request a Quotation

Pre-tagged as Build-vs-rent advisory. A solutions engineer responds the same business day.

Next: Cluster Bring-up & Software

Creates a lead in our CRM and routes to a solutions engineer.