Cloud vs On-Premises GPU Cost & Breakeven Calculator
Compare the total cost of renting cloud GPU instances against purchasing and operating on-premise hardware.
How to Use This Calculator
- Enter the total hardware purchase price and expected monthly colocation, power, and maintenance upkeep.
- Enter the comparable hourly cloud GPU rental rate and expected daily active workload hours.
- Review the break-even payback period in months and projected multi-year cost differences.
Frequently Asked Questions
When does purchasing GPU hardware make financial sense over renting?
Purchasing hardware is usually more cost-effective for steady, round-the-clock workloads where utilization exceeds 16 to 20 hours per day, enabling payback within one to two years.
When is cloud GPU rental preferred?
Renting cloud GPUs is advantageous for intermittent workloads, prototyping, short-term research projects, or when rapid hardware upgrades are desired without upfront capital commitment.
What hidden costs should be considered for on-premise servers?
Beyond server hardware, factor in data center rack space, electrical power, facility PUE overhead, high-bandwidth networking, hardware maintenance, and engineering staff time.
Planning note: Results are planning estimates. Actual memory consumption, throughput, and power draw depend on inference runtime implementation (e.g. vLLM vs llama.cpp), batch size, and sequence context length. Benchmark your specific workload on physical hardware before purchasing.