Insights
Modular DC

AI infrastructure shouldn't take three years to build

AI infrastructure shouldn't take three years to build

Most AI programmes don't stall on models. They stall on capacity — waiting for a data hall, a substation upgrade, a cooling retrofit, and a contractor schedule that keeps moving.

Agate Green builds the alternative: a modular, integrated data centre. Each module leaves our facility pre-integrated — power distribution, precision cooling, racks, fire suppression, access control and monitoring — assembled, cabled and tested before it ships. It arrives as infrastructure, not as a construction project.

When the data centre becomes a product

  • Deployment measured in weeks, not years.
  • Power and cooling sized to the actual workload — including liquid-cooled GPU racks.
  • Capacity added one module at a time, so capital tracks demand instead of guessing at it.
  • Built for Southeast Asia: Malaysia-based, regionally compliant, locally supported.

Integration is also where sustainability actually starts. Fewer interfaces to coordinate. Less oversizing. Tighter control of power and water. And the ability to match load to renewable supply, rather than provisioning for a peak that never arrives.

Compute, delivered three ways

  • GPU-as-a-Service — H100 and A100 capacity on demand through AGATE G-Cloud. No capex, no procurement cycle, no idle iron.
  • Token-as-a-Service — metered, API-driven inference from the AGATE Token Factory. You buy output, not servers.
  • On-premises — G-Cloud in your own facility, with full control of data and infrastructure.

Infrastructure. Compute. Tokens. One partner, one accountable layer. Planning AI capacity in Malaysia or across ASEAN? Talk to us — we'll show you what one module would look like on your site.