AI & High-Density Compute
Sustain ultra-high power delivery for your most demanding AI training clusters.
Deploy more compute without redesigning the facility. BDx combines high-density power distribution with liquid-cooling-ready infrastructure to help customers deploy advanced GPU environments today, while retaining a scalable path to future compute generations.
Customer benefit
What the engineering means for you. Each capability, and the outcome it delivers.
01
High-density rack design
→ More GPU compute per hall and more efficient use of white space.
02
Liquid-cooling readiness
→ Support for high-thermal-load AI systems that may exceed conventional air-cooling limits.
03
Pre-engineered power and cooling
→ Lower retrofit risk as GPU platforms evolve.
04
Modular capacity release
→ A practical path from initial cluster deployment to larger AI environments.
Infrastructure Capabilities
NVIDIA-Aligned Environments
Infrastructure designed to support deployment models consistent with NVIDIA reference architectures for advanced AI platforms.
Rack-Level Power Delivery
High-capacity busway and distribution systems engineered for sustained ultra-high-density GPU deployments.
Structural & Spatial Engineering
Floor loading, rack layout, and mechanical clearances structured for dense GPU configurations and associated cooling systems.
Thermal Integration
Facility design accommodating both advanced air and liquid cooling deployment models at rack level.
Cluster-Scale Architecture
Power systems engineered to support consolidated AI clusters without distribution across multiple lower-density halls.
Grid Alignment
Utility-connected infrastructure engineered for continuous AI load.
Speed-to-Power
- 7.1MW NVIDIA GB200 capacity delivered at CGK3A, Jakarta
- 143 days from mobilization to Ready for Service (Phase 1 GB200 deployment)
- 192kW per rack measured peak density at CGK3A
- Up to 300kW per rack future design capability
- Direct-to-chip liquid cooling supporting GB200-class and next-generation GPU architectures
- Workloads live in the customer production environment




