For most AI teams in India, the compute bill has two halves: the power that does useful work, and the power spent keeping the hardware from cooking itself. The second half is where the easy savings hide.
Start with PUE
Power Usage Effectiveness (PUE) is total facility power divided by the power that reaches your IT gear. A PUE of 1.7 means for every 1 kW of compute you burn 0.7 kW on overhead — mostly cooling. Air-cooled rooms in a hot climate routinely sit there or worse. Immersion-cooled nodes push PUE close to 1.0, which is a direct, permanent cut to the bill.
The four places power leaks
- Cooling overhead. Room HVAC, CRAC units, and rack fans. The biggest single lever — CoreVault runs about 37% less facility powerby removing it.
- Thermal throttling. Hot GPUs quietly downclock, so you pay full power for reduced throughput. Stable temperatures recover that lost work.
- Hardware refresh. Heat shortens component life. Getting 2–3× longer hardware lifemeans fewer expensive re-buys — a real cost even though it's not on the monthly power line.
- Idle infrastructure.A dedicated server room you built and now maintain is fixed cost whether it's full or not.
Do the math on your own setup
The savings are specific to your hardware, load, and tariff. A 10-GPU cluster in a 45°C city looks very different from a 2-GPU workstation in an office. The point of a proper audit is to turn "immersion saves power" into a rupee number you can take to your CFO.
Where CoreVault fits
CoreVault gives you an owned, immersion-cooled node — the OpEx you save on power, cooling, and hardware life is designed to cover what you spend with us. Read the approach behind it in immersion cooling for AI data centers in India, or the bigger own-vs-rent question in sovereign AI compute in India.
Want the number for your rack? Start with a free thermal audit.