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H100 Server: Rent vs Buy Break-Even Calculator

Evaluate financial capital recovery horizon, monthly cloud rental expenditure vs on-premise hardware purchase and colocation upkeep for NVIDIA H100 80GB SXM5 Node.

🎛️ Architecture & System Parameters
Reactive Compute Engine

Engineering Execution Protocol

  1. Enter a real purchase quote for the 8-GPU server and a real hourly cloud price for the same configuration.
  2. Enter honest hours of use per day.
  3. Enter full monthly running costs: power, cooling, rack space, network and support.

Technical Authority & System Specifications

Q: When does buying an H100 server beat renting?

With the defaults ($320,000 purchase, $24/hour rent, 24 hours a day, $1,800 a month running cost), payback is 20.4 months. At 12 hours a day it stretches to 46 months.

Q: Is $24 per hour a real cloud price?

It is an illustrative input equal to $3 per GPU-hour for eight GPUs. Prices vary widely between providers and over time, so enter a current quote.

Q: What does this calculator leave out?

Staff time, financing, resale value, networking and storage, and reserved-instance discounts. Use the result as a first filter before a full cost analysis.

What is being compared

This calculator asks a single question: if you need an 8-GPU H100 server, how long does it take for buying one to cost less than renting the equivalent from a cloud provider? The defaults describe an 8 × H100 80 GB SXM5 node (the HGX H100 class of server) bought for $320,000, rented for $24 per hour (equivalent to $3 per GPU-hour), used 24 hours a day, with $1,800 a month for colocation space, power and maintenance. These are illustrative inputs, not quotes. H100 server prices and cloud rates have changed a lot since the GPU launched and differ widely between providers, so replace them with prices you have actually been offered.

The formula

monthly cloud cost = hourly rate × hours per day × 30.4
monthly saving from owning = monthly cloud cost − monthly on-prem running cost
payback (months) = purchase price ÷ monthly saving
24-month net = 24 × monthly saving − purchase price

If payback is longer than 36 months the calculator recommends renting, on the reasoning that accelerator hardware is usually written off over three to five years and a newer generation will have arrived by then.

Worked example: the default inputs

LineWorkingResult
Cloud rent per month$24 × 24 h × 30.4 days$17,510
Owning: running cost per monthinput$1,800
Monthly saving from owning17,510.4 − 1,800$15,710
Payback320,000 ÷ 15,710.420.4 months
Net after 24 months24 × 15,710.4 − 320,000$57,050 in favour of owning
Net after 36 months (same formula)36 × 15,710.4 − 320,000about $245,600

Utilisation decides the answer

The figure that most changes the result is hours of real use per day. The cloud bill falls when you stop renting, but the purchase price does not:

ScenarioPayback24-month net
24 h/day at $24/h (default)20.4 months+$57,050
12 h/day at $24/h46.0 months (calculator recommends cloud)−$153,075
8 h/day at $24/h79.3 months−$223,117
24 h/day at $16/h32.4 months−$83,034
24 h/day, $4,000/month running cost23.7 months+$4,250

Buying pays off for steady, round-the-clock work such as a production inference service or a long training programme. For bursty research or occasional fine-tuning, renting is usually cheaper even at on-demand rates, and reserved or committed-use cloud pricing pushes the break-even point further out.

Is $1,800 a month realistic?

Check the running-cost input carefully. A node that can draw about 10.2 kW uses roughly 7,450 kWh a month at full load. At $0.12/kWh that is about $894 of electricity, or about $1,117 once a facility PUE of 1.25 is included, before rack space, cross-connects, bandwidth, support contracts and spare parts. For a fully loaded node, $1,800 is optimistic in many markets; try $3,000–$4,000 to see how sensitive your decision is. The site's data-centre PUE calculator works out the electricity part in detail.

Costs the formula leaves out

  • Staff time for installation, driver and firmware updates, hardware failures and security.
  • Financing and residual value. Money tied up in hardware has a cost, while a used server still has resale value after two or three years. Both are ignored.
  • Networking and storage. Multi-node training needs InfiniBand or RoCE switches and fast shared storage; cloud instances include some of this.
  • Lead time and flexibility. Owned hardware cannot scale down; rented hardware can be swapped for a newer GPU generation when it arrives.
  • Cloud extras such as storage, data egress and support plans, which can add meaningfully to the hourly GPU price.

Use the payback figure as a first filter. If it is under about 18 months at honest utilisation, a full total-cost-of-ownership analysis is worth doing; if it is over 36 months, renting is almost certainly the better choice.

Sources: NVIDIA H100 specifications · NVIDIA HGX platform · EIA commercial electricity prices. Figures were checked against these pages in October 2026; vendors sometimes revise them.
Primary System Output
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HARDWARE ARCHITECTURE ACTIVE
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