Model your load profile and compare Gameye against Edgegap, Hathora, and AWS — egress included on Gameye.
| Provider | Compute | Egress | Total |
|---|---|---|---|
| Gameye5GHz bare metal · egress incl. | — | Included | — |
| Edgegap$0.069/vCPU-hr · $0.0051/GB-hr RAM · $0.10/GB egress | — | — | — |
| HathoraSame vCPU rate as Gameye · +$10K/mo fixed · egress charged | — | — | — |
| AWS c8a.xlargeAMD EPYC 9R14 @ 4.1 GHz ★ closest match | — | — | — |
Billed per vCPU-hour. Rate depends on container RAM allocation.
avgCcu = peakCcu × avgCcuPct
vCpuHrs/mo = (avgCcu ÷ playersPerContainer) × containerVcpu × 24 × 30
compute = (reservedHrs × $0.02–0.03) + (onDemandHrs × $0.07–0.10)
egress = included
total = compute Billed per vCPU-hour plus a separate per-GB-hour RAM charge. Egress billed at $0.10/GB.
compute = vCpuHrs/mo × $0.069
ram = containerHrs/mo × containerRamGb × $0.0051
egress = egressGb/mo × $0.10
total = compute + ram + egress Same per-vCPU rate as Gameye, plus a $10,000/month platform fee and egress at $0.10/GB.
compute = same formula as Gameye
fixed = $10,000/mo
egress = egressGb/mo × $0.10
total = compute + $10,000 + egress Instance-based billing. Packing density determines how many containers fit per instance. A 1.3× performance factor is applied — virtualised instances typically need ~30% more vCPUs to match bare metal real-time throughput.
packing = min(floor(4 ÷ containerVcpu), floor(8GB ÷ containerRam))
effectiveRate = $0.17168/hr ÷ (packing × containerVcpu)
adjustedHrs = vCpuHrs/mo × 1.3
egress = first 10 TB at $0.09/GB, beyond at $0.085/GB
total = (adjustedHrs × effectiveRate) + egress Average CCU methodology follows the AWS GameLift calculator convention: average CCU ≈ 30% of peak CCU across a full month, accounting for daily rise and fall in player counts. Adjust the slider to model your specific utilisation profile.