RENT THE GPUS OR OWN THE HARDWARE
Rent GPUs or buy and colocate?
Put your market into the math.
Compare renting cloud GPUs (GPU as a service) with buying the same servers and placing them in a colocation data center. Choose a major market, set your workload and see the full cost range, cost per productive GPU-hour, break-even use and cash crossover.
WHAT THE ESTIMATE USES
Local context.
Comparable inputs.
Markets use regional quote coverage
Each metro uses the Colocation Scout coverage band for its state, and the calculator names the band it used. The bands are broad: Dallas, Houston and Nashville fall in the Central / Midwest band, and Northern Virginia and Richmond in the Northeast band. New York, Philadelphia and Boston use the same band until separate metro quote ranges are supplied. The October 6, 2026 quote map summarizes received quotes in the preceding 30 days, with three capacity tiers. These are observed budget ranges; final rates and included services depend on the proposal.
Published hardware, editable budgets
The H100, H200 and B200 presets use dated Exxact Essential configured server prices, with the vendor link shown above. Server count scales the full eight-GPU allocation and your entered per-server price. A changed price is labeled as an edited budget. Power starts with the vendor’s estimated draw, an assumed 25% idle load and 25% commitment headroom rounded up per server; it is not measured energy use. Add external networking, storage, cooling and deployment costs separately.
Published rentals and comparable work
Provider offers come from the same catalog as our pricing pages, retaining source check dates and announced price changes. The selector uses USD GPU rental offers; serverless, other currencies and H200 NVL listings remain on the pricing pages. Whole-node billing rounds up to complete allocations. Reserved offers bill full months over at least their stated commitment; spot offers are interruptible. A changed rate is an edited budget. Match memory, networking, storage, performance and service needs. Colocation bills committed power even while idle; assumed server resale is credited at the end, outside cash crossover. The starting example uses the middle published on-demand rate for the selected GPU, and the results show the cheapest and most expensive published rates for the same scenario.
Electricity by state
Separately metered electricity starts at the EIA average industrial price for the market’s state, January to July 2026, year to date. Data centers buy on large-customer rates, so the industrial average is closer than the commercial one. New York uses New Jersey’s rate, and Silicon Valley uses Silicon Valley Power’s large industrial average. State averages are a starting point: proposals often bundle power or mark it up, so enter your quoted rate.
The cost of tying up capital
Buying hardware puts money up front that could earn a return elsewhere or that you borrow. Ownership totals include a cost of capital, 8% a year to start, charged on the upfront spend as it declines in a straight line to the assumed resale value. Change it to your own borrowing rate or required return, or enter 0 to remove it. It is an economic cost, not a cash payment, so the cash chart and cash crossover leave it out.
Use a specific quote to resolve overlapping results. Confirm electricity inclusions, cooling, initial capacity and delivery dates with an advisor before choosing a deployment.
RENT OR BUY
When renting wins.
When owning wins.
The starting example
Eight H100 GPUs in New York for three years at 70% productive use. Renting at Crusoe’s published on-demand rate costs $581,155. Buying one H100 SXM 80GB server and colocating it costs $406,215–$417,735, including $44,209 of cost of capital and an assumed 20% resale. Owning breaks even at about 48% to 49% use. At 30% use, renting costs $253,181 against $396,293–$407,813 to own.
Renting usually wins when
Use is low or uncertain, the project lasts under about two years, you need GPUs in weeks rather than months, or you expect to move to a newer GPU soon. You pay only while the allocation runs, and the provider carries the hardware, power, cooling and spares. Check H100, H200, B200 and B300 rental rates before you compare.
Owning usually wins when
The GPUs stay busy most of the time for three years or more, you can fund the hardware up front, and you have a team to run it. A full server at steady use spreads its price over many productive hours. You also need a data center that can deliver the power: compare GPU colocation options, and see how much announced capacity is actually energized in our capacity records.
What the totals leave out
Owning takes time. Servers can take weeks to months to ship, and a colocation cage or power upgrade can take longer. Many teams rent during that gap. Hourly cloud billing assumes GPUs are free when you want them, which is not guaranteed for large on-demand clusters; a reservation fixes that at a higher committed cost. Staffing, spare parts and failed-hardware downtime belong in the operations line. Our buying guide covers the contract risks on the rental side.
RENT VS BUY QUESTIONS
Renting or owning GPUs,
answered.
Is it cheaper to rent or buy GPUs?
It depends mostly on how busy the GPUs will be and for how long. In the starting example, owning becomes cheaper above roughly 48% productive use over three years. Below that, renting costs less because you stop paying when the work stops. Enter your own use, market and quotes above to see your break-even point.
What does colocation cost for a GPU server?
Colocation is usually priced per kilowatt of committed power each month. The calculator uses received-quote ranges from Colocation Scout for the band that covers your market, and adds electricity separately unless your proposal includes it. One eight-GPU H100 server needs about 7 kW of IT power before headroom.
Why include a cost of capital?
Buying hardware ties up money that could earn a return elsewhere, or that you borrow. The calculator charges 8% a year on the upfront spend as it declines to resale value. Use your own borrowing rate or required return, or enter 0 to leave it out.
Where do the electricity prices come from?
Each market starts at the U.S. Energy Information Administration average industrial price for its state, January to July 2026, year to date, because data centers buy power on large-customer rates. New York uses New Jersey’s rate, where most of the metro’s colocation sits, and Silicon Valley uses Silicon Valley Power’s published large industrial average. Many colocation proposals bundle power into the per-kW price or meter it at their own rate, so use the rate you are quoted, or choose “Electricity included”.
Which rental price does the calculator start with?
The middle published on-demand rate for the selected GPU, so the default is neither the cheapest nor the most expensive provider. The results also show what the same scenario costs at the cheapest and most expensive published rates. You can pick any provider or enter your own quote.
Should I reserve cloud GPUs instead of paying on demand?
A reservation lowers the hourly rate but bills every hour of the term, used or not. It makes sense when use is high and steady, which is the same case where owning starts to compete. Pick a reserved offer in the provider list to compare it on the same inputs.
WHY WORK WITH US
Powered by
Bridgepointe Technologies.
GPU Cloud Advisors is powered by Bridgepointe Technologies, a technology advisory firm since 2002. You get one advisor, the research on this site, and the provider relationships behind it.
Bridgepointe clients include
- NVIDIA
- Salesforce
- Adobe
- Uber
- Netflix
- Airbnb
- Roblox
- CrowdStrike
- Sony
- PayPal
- Mastercard
75+ Fortune 500 clients
Including more than 20 of the Fortune 100, with 97% client satisfaction.
1,200+ data center and cloud projects
Requirements assessed, capacity sourced and providers selected.
Terms, not just the rate
We negotiate ramp schedules, early billing and expansion terms, so you aren’t paying for capacity before your workload can use it.
One requirement, every fit
Bridgepointe partners with 380+ technology providers. We take one requirement to the providers that fit it and bring back a side-by-side comparison you can actually decide from.
Case study: Bridgepointe helped Hive, an AI company, choose data center and connectivity providers across 15 projects, saving its team at least 180 hours. Ask us for the case study
LET’S PLAN YOUR GPU PROJECT
Tell us what
you need.
Two short steps. Tell us what you’re building and an advisor will help you evaluate providers, confirm capacity requirements, and plan the support you need to get into production.
Not sure which GPU or how many you need? Start with your workload and what could change.
Our advisory services are free to you. We’re compensated by whichever provider you choose through us.
What we’ll work through with you
- A provider shortlist suited to your workload and location.
- Initial capacity, expansion needs and delivery timing to confirm.
- Total cost, commitment terms and deployment support to compare.
Thanks. Your project request is in.
An advisor will review your requirements and follow up using the contact details you provided.
You can also choose a time to talk below.