Regular servers used to be fine with standard power. But AI workloads are different. One rack of AI servers can need several times more electricity than a normal rack.
Why AI needs so much power
AI training and inference use special chips that work very hard. They generate a lot of heat too. So data centers need stronger power feeds and better cooling just to keep everything running.
In Indonesia, where electricity prices and reliability vary by location, this becomes an important consideration. Facilities that were built for traditional loads may struggle when AI customers arrive.
What changes in the data center
You start seeing higher power density per rack. Cooling systems that used to be air-only now often mix liquid cooling. Backup generators and UPS must be sized larger.
Connectivity also matters because AI workloads sometimes need fast links to other systems. Facilities close to major internet exchanges in Jakarta tend to make stable connectivity easier to maintain.
- Higher power per rack
- Better cooling solutions
- Stronger electrical infrastructure
- Redundancy for critical loads
Choosing the right facility
When your workloads start moving toward AI or need higher power density per rack, a data center built for that load is simply more comfortable to run. Many teams also look for places that already hold Tier IV certification so uptime stays high.
ISC facilities in strategic Jakarta locations near internet exchanges are prepared for these denser loads, and some offer disaster-recovery options in Bali for extra peace of mind.
Planning ahead
If you are still on regular servers, start asking your provider about their AI readiness. Check available power, cooling capacity, and whether they have experience with high-density racks.
It is easier to plan the move before the servers arrive than to scramble after they are already installed and overheating.
Many companies prefer colocation that also offers a disaster-recovery option in a different city so regional risks stay manageable.
