Advanced AI research requires extreme-density compute environments that can handle large-scale model training, multi-GPU simulations, and variable research workloads. Yet most academic institutions face space, budget, and infrastructure limitations that make traditional data centers slow and impractical.
AGI offers a modular solution purpose-built for academic settings. With Modular Data Halls (MDH) and Modular Technology Cooling Systems (MTCS), universities can deploy up to 250 kW per rack in as little as six weeks—on campus or at a nearby shared research hub.
Enable high-performance research computing without requiring full-scale data center overhauls or complex permitting.
Design to handle compute loads exceeding 250 kW per rack for NLP, CV, and scientific computing.
Deliver powerful compute within the power envelopes and spatial constraints of existing campuses.
Enable secure, multi-tenant usage with telemetry, monitoring, and access control.
Start with 8–16 MW and grow modularly without redoing core infrastructure.
Maintain 99.98% uptime standards required for uninterrupted long-cycle training jobs.
AGI's modular approach gives universities the ability to deploy world-class AI infrastructure without waiting years or spending millions in construction. Institutions can now launch GPU-intensive research clusters faster, at lower cost, and with the density and efficiency needed to stay on the cutting edge of machine learning and academic computing.
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