NVGPU

Compute, considered.

Cloud GPU versus local GPU: compare total costs

Compare ownership and rental with your utilization, hardware quote and measured workload runtime.

By NVGPU · Substantively reviewed September 26, 2026 · Published documentation and calculations; no NVGPU hardware benchmark.

Is renting cheaper than buying?

Renting can suit intermittent work or a temporary need for more memory. Ownership can suit sustained use when you can maintain the system. Neither is always cheaper. Compare complete configurations over the same period and include idle time and operational costs.

Use an explicit cost model

  • Cloud cost = billed instance hours × instance rate + storage + data transfer + support, software and applicable taxes.
  • Local cost = complete-system purchase price − expected resale value + electricity + cooling/hosting + maintenance and support.
  • Local electricity cost = measured average wall power in kW × powered hours × your electricity price per kWh.

A GPU's TDP is not whole-system wall power. Include the CPU, RAM, disks, power supply and cooling, and distinguish useful compute hours from powered-on hours.

If cloud variable cost is c per useful hour, local variable cost is l, and net local fixed cost is F, an illustrative break-even is F / (c − l) useful hours when c > l. If runtimes differ, normalize by completed jobs instead of hours.

An illustrative calculation

Suppose a complete local system costs $4,000 after expected resale, local variable costs are $0.20 per useful hour and an equivalent cloud instance costs $2.20 per useful hour. The simplified break-even is 2,000 useful hours. At 100 hours per month, that is 20 months. These are invented inputs for arithmetic, not current hardware or provider prices; replace them with quotes and measurements.

Include practical constraints

Cloud rentals let you change hardware without another purchase, but capacity, quotas, data location and transfer time matter. Local hardware keeps compute under your control, but hardware failure, upgrades, physical security and maintenance become your responsibility.

Do not compare a single local card with an eight-GPU cloud rate divided by eight as if you can rent one eighth of that instance. Use the full-instance column on the comparison page. Check provider billing and storage behavior; RunPod documents ongoing charges for retained storage, for example.

What should I record before deciding?

Keep the dated system quote, intended utilization, measured wall power, electricity rate, expected resale assumption, provider source version and workload runtime. Try a short rental before committing to an expensive purchase, and document which costs remain unknown. Use a reproducible workload test for the runtime comparison.