Uvation’s traditional AI factories are designed as high-density facilities integrated into existing or new-build data center campuses where power, fiber, and long-lived AI programs converge. These factories anchor sovereign AI, enterprise, and government workloads that need predictable capacity, hardened environments, and close proximity to other strategic systems. Subscribe to learn more about Uvation’s traditional AI factory design options, campus integration patterns, and how they align with your current and future GPU roadmaps.
Traditional factories are sited alongside or within data center campuses, aligning with existing power, fiber, and networking infrastructure to reduce integration friction and support low-latency connectivity to adjacent systems.
Rack, cooling, and interconnect architectures are designed for GPU density, memory bandwidth, and low latency so you can run training, fine-tuning, and inference workloads without re-architecting your core environment.
Purpose-engineered cooling topologies manage heat dissipation for sustained GPU workloads, reducing energy consumption and enabling higher rack densities than air-cooled alternatives while maintaining thermal stability.
Factory networking is designed to support NVLink, InfiniBand, and high-bandwidth Ethernet fabrics that eliminate communication bottlenecks in multi-GPU and multi-node training architectures.
Electrical infrastructure supports current GPU generations and is designed with capacity headroom to accommodate increasing power densities as next-generation hardware enters production.
Built-in telemetry for power, cooling, GPU utilization, and network performance enables integration with customer monitoring platforms and supports proactive capacity planning and anomaly detection.
Traditional factories are available through Uvation’s Services Platform with purchase, lease, and subscription models to align capital structure and budget cycles with your organization’s financial strategy.
Traditional AI factories are sited within or adjacent to existing data center ecosystems. This enables direct fiber connectivity to enterprise workloads, shared utility infrastructure, and operational alignment with mature IT governance frameworks, making them the natural anchor for organizations expanding AI capacity within established footprints.
Explore how traditional AI factories sit within your broader campus, from power feeds to network fabric and physical security.
Deploy self-contained mobile AI compute capacity in weeks, not years. Scale seamlessly by adding pre-engineered modules with integrated advanced cooling and power distribution. Expand in remote and isolated regions.
Power mission-critical AI with grid-independent 99.999% uptime, zero-carbon infrastructure. State-of-the-Art SOLO™ microreactors deliver reliable on-site energy for ultra-dense AI clusters. Maintain continuous inference production with resilient, self-sustained capacity.
Power mission-critical systems, maintain uptime 24/7, and support growing workloads effortlessly, protected by trusted datacenter infrastructure
Deploy self-contained mobile AI compute capacity in weeks, not years. Scale seamlessly by adding pre-engineered modules with integrated advanced cooling and power distribution. Expand in remote and isolated regions.
Power mission-critical AI with grid-independent 99.999% uptime, zero-carbon infrastructure. State-of-the-Art SOLO™ microreactors deliver reliable on-site energy for ultra-dense AI clusters. Maintain continuous inference production with resilient, self-sustained capacity.
Power mission-critical systems, maintain uptime 24/7, and support growing workloads effortlessly, protected by trusted datacenter infrastructure