AI Supercluster Deployment

Use Case Overview

A leading hyperscaler needs to fast-track a next-generation AI data center capable of supporting massive GPU clusters. Traditional builds posed long timelines and cost inefficiencies. AGI can deploy a complete compute environment using its Modular Data Halls (MDH) and Modular Technology Cooling Systems (MTCS)—built for 250 kW+ rack densities and shipped fully integrated for plug-and-play installation.

The result: a fully operational, ultra-dense facility in just 8 weeks.

Project Objectives

This project prioritizes speed, density, and future-proof architecture capable of handling AI model training workloads at massive scale.

Deploy 96 MW in under 60 days:

Avoid traditional construction delays through prefabricated modular delivery.

Support 250–500 kW rack densities:

Meet modern GPU cluster thermal and power needs.

Integrate rack-level telemetry and control:

Ensure visibility, automation, and real-time monitoring across all nodes.

Eliminate construction complexity:

Remove dependency on on-site skilled trades with complete pre-integrated systems.

Enable phased expansion

Allow future scale-up without redesign or system interruption.

Key benefits of the AI Supercluster Deployment

  • 2x faster deployment than traditional data center builds
  • 250 kW per rack, scalable to 500+ with MTCS upgrade
  • 65% cost savings on infrastructure and labor
  • Fully remote monitoring of power and cooling
  • High-availability design supports 20,000+ GPUs

Conclusion

AGI’s solution can turn a 12–18 month build into a 2-month deployment. By combining high-density capacity with modular speed and control, the AI Supercluster can be a benchmark for rapid, scalable AI infrastructure.