Realistic Power-Consumption Estimate for Your AI Server
(Ryzen 9 7950X + RTX 3090 + 64 GB RAM + SSD)
1) Idle Power Consumption (no real load)
Component Power
Ryzen 9 7950X 30–45 W
RTX 3090 idle 25–35 W
Mainboard, RAM, SSD 20–35 W
Total 80–120 W
Realistic idle average: 100 W
(The RTX 3090 is quite efficient when the monitor sleeps.)
2) Real AI Inference Load (70–80% GPU load)
RTX 3090 inference: 250–320 W
Ryzen 9 7950X moderate load: 40–90 W
Other system components: 30–50 W
Total under normal AI load: 320–450 W
This corresponds to real usage such as:
Running 1–3 models simultaneously
Hotel queries, DMS OCR, microservices
Web server + backend logic on CPU
3) Maximum Load (GPU 100% + CPU 100%)
This rarely happens in daily use — only during:
Training / fine-tuning
Heavy benchmarking
Multiple pipelines running at full load
Component Power
RTX 3090 320–360 W
Ryzen 9 7950X 120–170 W
Other 40–50 W
Peak total: 480–580 W
Monthly Power Cost (example)
Assuming 350 W average, 24/7 operation:
0.35 kW × 24 h × 30 days = 252 kWh/month
252 kWh × 0.25 €/kWh ≈ 63 € per month
But in typical hotel microservice workloads:
7B–13B models
Batch size 1–4
Sporadic client queries
No continuous full load
Realistic daily average: 200–260 W
Which results in:
35–50 € per month (24/7)
Summary
Realistic consumption (24/7 AI server):
Idle: 100 W
Normal AI load: 350 W
Peak: 550 W
Monthly cost: 35–65 €, depending on workload.