A/B Testing CPU Requirement (Annual) Calculator Examples
Worked examples showing how A/B test traffic and CPU time translate into annual CPU-hour estimates.
These examples illustrate how traffic volume, test duration, allocation and processing complexity affect A/B testing compute workload. They are planning estimates based on evenly distributed traffic.
Monthly experimentation program
1.2 million annual visitors, 50% test allocation and 50 milliseconds of CPU time per tested request.
Input Summary
Annual visitors
1,200,000
Tested requests per visitor
8
Traffic allocation
50%
Test duration
28 days
Tests per year
12
CPU time per request
50 ms
Calculation Breakdown
- 1Tested requests per test1,200,000 × 8 × 0.50 × (28 ÷ 365)368,219 requests
- 2CPU hours per test368,219 × 50 ÷ 1,000 ÷ 3,6005.11 CPU hours
- 3Annual CPU hours5.11 × 1261.37 CPU hours
Result Summary
Annual CPU hours
61.37 CPU hours
A/B Testing CPU Requirement (Annual) Calculator
Estimated annual experiment processing is 61.37 CPU hours.
Low-traffic product test
120,000 annual visitors, four tested requests per visitor, 25% allocation and four 21-day tests.
Input Summary
Annual visitors
120,000
Tested requests per visitor
4
Traffic allocation
25%
Test duration
21 days
Tests per year
4
CPU time per request
30 ms
Calculation Breakdown
- 1Tested requests per test120,000 × 4 × 0.25 × (21 ÷ 365)6,904 requests
- 2CPU hours per test6,904 × 30 ÷ 1,000 ÷ 3,6000.06 CPU hours
- 3Annual CPU hours0.06 × 40.23 CPU hours
Result Summary
Annual CPU hours
0.23 CPU hours
A/B Testing CPU Requirement (Annual) Calculator
Estimated annual experiment processing is 0.23 CPU hours.
High-traffic personalized experiment
20 million annual visitors, 12 tested requests per visitor, 75% allocation and 120 milliseconds per tested request.
Input Summary
Annual visitors
20,000,000
Tested requests per visitor
12
Traffic allocation
75%
Test duration
35 days
Tests per year
18
CPU time per request
120 ms
Calculation Breakdown
- 1Tested requests per test20,000,000 × 12 × 0.75 × (35 ÷ 365)17,260,274 requests
- 2CPU hours per test17,260,274 × 120 ÷ 1,000 ÷ 3,600575.34 CPU hours
- 3Annual CPU hours575.34 × 1810,356.16 CPU hours
Result Summary
Annual CPU hours
10,356.16 CPU hours
A/B Testing CPU Requirement (Annual) Calculator
Estimated annual experiment processing is 10,356.16 CPU hours.
How to Read Your Results
Annual CPU hours show the aggregate CPU processing work across the planned testing program.
CPU hours per test help compare the expected cost of a typical experiment.
Average active CPU cores spread CPU work evenly across the test duration; they do not show peak demand.
Requests per variant are a planning split and assume traffic is evenly assigned among variants.
Use a separate peak-load or infrastructure analysis when choosing runtime capacity.
Assumptions & Important Notes
- Traffic is evenly distributed over the year and across each experiment's active days.
- Every test uses the stated allocation and duration.
- Requests are evenly divided among variants for the per-variant result.
- Entered CPU time represents only the experiment-related CPU work being assessed.
Related Examples
Frequently Asked Questions
Why do different examples have very different annual CPU hours?
Annual CPU hours change with request volume, traffic allocation, test duration, CPU time per request and the number of tests.
Does a longer test always use more CPU hours?
Under the even-traffic assumption, a longer test includes more requests and therefore uses more CPU time.
What happens if I double CPU milliseconds per request?
CPU hours per test and annual CPU hours also double if all other inputs remain unchanged.
Can I use these examples to size a server?
They show estimated experiment CPU work, not complete server capacity. Peak demand and all other workloads must be considered separately.
Ready to calculate your own result?
Use the live calculator with your own inputs, timing, and preferences.