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What it really costs

A GPU isn't its
sticker price.

“24 GB” tells you nothing about what a card actually costs to run. We turn any GPU into real money — electricity at the wall, true cost per month, and the exact point where renting beats buying.

Power at the wall

Not TDP — real draw, ×1.3 for the rest of the rig.

Buy vs rent

The break-even month, computed for your hours.

Same engine

The cited cost model behind every GPU page.

Cost modellive

Typical: ~$0.10 India · ~$0.15 US avg · ~$0.30 EU.

—
—
Sticker price
—
upfront, one time
Electricity / mo
—
—
True cost / mo
—
owned, amortised
Cloud equivalent / mo
—
—
Own it — total
—
price + power over horizon
vs
Rent it — total
—
same GPU on cloud
Where the owned cost goes— total
Upfront — Electricity —

Buy vs rent, over time

When does owning pay off?

Cumulative spend, month by month. Buying starts high — the sticker price — then barely climbs. Renting starts at zero and rises forever. Where they cross is your break-even.

Cumulative cost—
Own (price + power) Rent (cloud) Break-even

How we cost it

Every rupee traceable.

Electricity

TDP × 1.3 ÷ 1000 × hrs × 30.4 × rate. The ×1.3 covers CPU, PSU losses and cooling — the whole rig draws more than the card's TDP.

Own — total

price + electricity accumulated over the horizon. Used-card pricing where a healthy second-hand market exists.

Rent — total

cloud $/hr × hrs × 30.4 × months. Indicative on-demand rates from the cloud database, reviewed July 2026.

See the cloud price database →

One number isn't the whole story

Match the cost to the model.

Costing a card is step two. Step one is which cards even fit your model — the Workspace ranks them, then lands on this exact buy-vs-rent call.

Evidence & method

How this calculation works

Turns a GPU's rated TDP and price into running cost: electricity at the wall, monthly cost of ownership, and the cloud-rent equivalent, with the buy-vs-rent break-even month.

Data sources

  • NVIDIA, AMD & Intel GPU documentation (TDP, price class)
  • Cloud provider pricing
  • Bitpute Methodology

Assumptions

  • Energy = TDP × system-overhead factor × hours/day × 30.4 × months × rate
  • Default utilisation 8 hours/day; electricity rate and hours are adjustable
  • Purchase price amortised over the period; cloud-rent equivalent at the provider hourly rate
  • Excludes cooling, networking, maintenance and datacentre cost beyond the TDP overhead factor

Limitations

  • Electricity rates, utilisation and cloud prices vary widely by region, provider and contract
  • Real power draw depends on workload, not just rated TDP
  • Prices are indicative and change frequently
  • Estimates are for comparison, not financial advice

Data status: Hardware specs — vendor documentation. Prices & rates — indicative and user-adjustable.

Why does this estimate differ from other calculators?
  • Different electricity rates and utilisation assumptions
  • Cloud pricing variance by provider and region
  • Power measured at the wall vs at the card
  • Amortisation period and residual value
  • Rounding