Core capabilities
Three infrastructure layers designed for fast deployment and high-performance inference.
Operational in approximately 30 days. Full build completed in approximately 180 days. Designed for rapid rollout using existing industrial infrastructure.
1MW of compute in just 200m². Extreme density without sacrificing thermals.
Single-phase immersion liquid cooling. Industry benchmark is >1.4 PUE.
GVAI T8000 System.
The edge inference engine.
Supports over 32× NVIDIA inference accelerator cards per node. Delivers exceptional compute per square meter, enabling 1MW of AI inference capacity within just 200m² of floor space.
Full single-phase immersion cooling keeps PUE below 1.2. Hardware downtime is constrained to under 3% — far below the industry standard — ensuring near-continuous inference availability.
Modular node assembly enables live maintenance without system shutdown. Individual compute modules can be replaced or upgraded while the rest of the cluster remains fully operational.
Minimal constraints on facility type and environment. Deployable in standard industrial buildings, warehouses, or container sites — no purpose-built data center infrastructure required.
Two paths to scale
High-density AI Factories built inside existing industrial facilities. Fast deployment using available structures and local power infrastructure.
- Converts existing industrial buildings
- No ground-up construction
- Fast integration with local power systems
- Adapted to regional regulatory environments
Prefabricated, self-contained compute modules deployable at any site with power access. Plug-and-play scalability designed for the distributed infrastructure model preferred across North American markets.
- Standardized container units, fully pre-configured
- Scalable from 1MW to 100MW+ with modular expansion
- Site-agnostic — deploy at data parks, industrial lots, or campuses