Power availability can determine whether an AI facility operates at the capacity its owners planned. This article covers grid constraints, behind-the-meter options, and the conditions…

AI infrastructure procurement depends on site readiness as much as hardware selection. This article explains how power, supplier obligations, and deployment planning affect whether purchased…

Defense AI programs need infrastructure that matches compute, security, connectivity, power, and resilience to the conditions of the mission. Uvation’s latest article outlines five questions…

Traditional network security struggles to protect enterprise AI because it cannot interpret the semantic content of prompts, model responses, or tool calls, creating a dangerous…

Modern data centers face a significant thermal challenge as GPU server power demands skyrocket. NVIDIA's GB200 and GB300 NVL72 racks, for instance, now consume 130…

Moving AI from a successful pilot to a dependable production service takes more than adding GPUs. IT teams need an infrastructure model that aligns compute…

University research teams cannot afford to let promising AI models stall because capital budgets, shared campus clusters, or slow procurement limit access to GPU compute.…

National AI strategies require more than access to GPUs. Governments also need controlled infrastructure, power-aware deployment planning, and a credible path to expand sovereign capacity…

Sovereign AI requires more than data residency. Public-sector leaders need control over compute, operations, power, and the long-term capacity to scale AI for critical missions.