Calculator Inputs
Example Data Table
Use these sample values to test the calculator quickly.
| Example GPU | Price (each) | Typical power (W) | Suggested utilization | Notes |
|---|---|---|---|---|
| RTX-class 24GB | ₹ 900,000 | 300 | 60% | Good for mixed workloads and prototyping. |
| Data-center 80GB | ₹ 3,500,000 | 400 | 75% | Higher memory for training and large batches. |
| Inference-optimized | ₹ 1,800,000 | 250 | 50% | Strong efficiency for steady serving loads. |
Formula Used
1) Upfront total
Tax = (Hardware + shipping + fees) × tax%
Upfront = Hardware + shipping + fees + tax
2) Energy cost
Load watts = (Avg GPU watts × qty) + system watts
With overhead = Load watts × (1 + cooling%)
Wall watts = With overhead ÷ PSU efficiency%
kWh/month = (Wall watts ÷ 1000) × hours/month
Energy cost = kWh/month × rate
3) Amortization
Amortized/month = Net capex ÷ lifespan months
4) Total monthly cost
Total/month = Energy + Amortized + Maintenance
Cost/hour = Total/month ÷ hours/month
How to Use This Calculator
- Enter the GPU price, quantity, and typical power draw.
- Set utilization to match your real workload intensity.
- Fill system overhead, PSU efficiency, and cooling overhead.
- Add electricity rate, taxes, shipping, and any extra fees.
- Choose lifespan and resale value for depreciation modeling.
- Press Submit to view results above the form.
- Use CSV or PDF buttons to download a report.
- Adjust values to compare different GPU plans quickly.
FAQs
1) What does “cost per GPU-hour” mean?
It divides the total monthly cost by runtime hours and GPU count. This helps compare a single powerful GPU versus multiple smaller GPUs using one consistent unit.
2) Why include utilization?
Many workloads are bursty. Utilization reduces average watts to reflect real usage, avoiding inflated energy estimates when the GPU is idle or lightly loaded.
3) What should I enter for system overhead?
Include CPU, memory, storage, motherboard, fans, and networking. For a workstation, 80–200 W is common; for a server, it can be higher.
4) How is cooling overhead different from PSU efficiency?
PSU efficiency converts internal load to wall power. Cooling overhead adds extra facility energy, like air conditioning or additional fans, as a percentage.
5) Does this include software licenses or cloud fees?
No. Add such recurring charges to “Other fees” and treat them as monthly costs externally, or extend the code to include them directly.
6) What lifespan should I use?
For fast-moving hardware, 24–48 months is typical. If you resell GPUs, add a realistic resale value to reduce amortized monthly cost.
7) How does break-even work?
If you enter revenue per hour, the calculator computes profit per hour and estimates hours needed to recover the upfront cost. If profit per hour is not positive, break-even shows N/A.
8) Can I use this for multi-GPU servers?
Yes. Increase quantity, adjust system overhead, and raise cooling overhead if the server sits in a warm environment or shared rack. Cost per GPU-hour helps compare scaling options.