Kim Chen, a technical account manager, is evaluating server efficiency. A server processes 180 requests per minute using 3.6 kilowatts of power. If energy efficiency improves by 20% and processing capacity increases linearly, how many requests per minute can it handle with the same power input?

Mon, 04 May 2026 17:47:50 +0000

**Kim Chen, a technical account manager, is evaluating server efficiency. A server processes 180 requests per minute using 3.6 kilowatts of power. If energy efficiency improves by 20% and processing capacity increases linearly, how many requests per minute can it handle with the same power input?** In an era where digital infrastructure drives innovation, smarter server performance is becoming a key consideration for technical leaders. Kim Chen, a technical account manager, is monitoring how rising workload demands intersect with energy efficiency—a topic gaining traction across US tech teams focused on sustainable scaling. With data centers under pressure to do more with less, optimizing the balance between power use and processing output is no longer optional. This shift reflects a growing awareness: efficient servers mean lower costs, reduced environmental impact, and better long-term reliability. Understanding efficiency in server metrics starts with clarity. The current system handles 180 requests per minute at 3.6 kilowatts. A 20% improvement in energy efficiency means the server now delivers the same output using less power—indicating a 20% increase in processing capacity per watt consumed. This linear relationship forms the foundation for scaling performance within fixed energy budgets. **How does efficiency translate to higher throughput?**
At 180 requests per minute with 3.6 kilowatts, the baseline efficiency is 50 requests per minute per kilowatt. A 20% gain pushes that to 60 requests per minute per kilowatt. Multiplying by fixed power input, the new limit becomes:
60 requests/minute/kW × 3.6 kW = 216 requests per minute.