GPU Electricity Cost Calculator
Power cost of running GPUs — per hour, month, and per million tokens, at your local tariff.
A home 4090 generating at 60% duty cycle costs about ₹1,100–1,500/month in India — usually far below cloud rental, which is the entire economic case for local AI rigs. Add ~10–15% for CPU/fans/PSU losses.
Formula
Disclaimer: This tool is for general informational and estimation purposes only and is not professional financial, tax, accounting or legal advice. All figures are estimates — verify with a qualified professional before making decisions. Read the full disclaimer.
About GPU Electricity Cost Calculator
The last line of every local-AI cost argument is the power bill, and almost nobody computes it. This calculator does: GPU wattage times duty cycle times your tariff gives monthly cost, and dividing by tokens generated yields the figure that makes comparisons honest — electricity per million tokens. At Indian residential tariffs a 4090 produces a million tokens for a few rupees of power, which is why the 'just use the API' argument weakens for anyone with steady workloads and a one-time hardware budget. The same math at German tariffs tells the opposite story; plug in yours.
How to use GPU Electricity Cost Calculator
- 1Enter your values into GPU Electricity Cost Calculator — sensible, domain-typical defaults are pre-filled so you see a real result immediately.
- 2The result recomputes live using the formula shown on the page; there is no button to press.
- 3Adjust any input to compare scenarios, then read the worked example to see the substituted numbers.
Why use GPU Electricity Cost Calculator?
- ✓Computes GPU Electricity Cost instantly in your browser — no sign-up, no upload, no server round-trip.
- ✓100% free and unlimited, with the exact formula shown: kWh/month = W × GPUs × utilization × 730 ÷ 1000.
- ✓Runs entirely client-side, so every value you enter stays private on your device.
- ✓Live recompute as you type, with a worked example and authoritative references for trust.
Frequently asked questions
Do GPUs draw their full TDP during LLM inference?+
Rarely — decode is memory-bound, leaving compute units underfed: a 450W-rated 4090 commonly draws 250–330W generating tokens. Power-limiting to ~70% TDP typically costs only 5–10% throughput, a free efficiency win this calculator can model via the watts field.
What about the rest of the system?+
CPU, RAM, fans and PSU inefficiency add 50–150W on a desktop rig — 10–25% on top of GPU draw. For a precise bill, measure at the wall with a smart plug and enter the total here as 'GPU power'. Idle draw between sessions counts too if the box stays on.
How does this compare with cloud per-token pricing?+
Electricity is usually the SMALLEST slice: ₹2–5 per million tokens locally versus ₹50–500 per million from APIs. The real local costs are hardware depreciation and your time. This tool isolates the power component so the full comparison is built from honest parts.
Is training cost dominated by electricity?+
For owned hardware, yes over time: an 8×H100 node at 6 kW running a month consumes ~4.4 MWh — ₹35–60K in India, $500–900 in the US, more in Europe. Cloud rental bundles it invisibly; on-prem planning must not.
Related tools
Related ML & AI tools
ROC-AUC Calculator (from TPR/FPR points)
Trapezoidal area under the ROC curve from your (FPR, TPR) operating points — the threshold-independent ranking score.
● LiveClassification Threshold Cost Calculator
Find the probability cutoff that minimizes expected cost given your false-positive and false-negative penalties.
● LiveSilhouette Score Calculator
Cluster cohesion vs separation for one point — the building block of the silhouette metric for choosing K.
● Live