On January 2, 2026 Saudi Arabia’s Data and AI Authority (SDAIA) launched construction of the Hexagon Data Center in Riyadh, planned as a 480 MW, Tier IV facility billed as the world’s largest government-owned data center. Officials say the site will host sensitive government data, power national digital platforms, and support AI and big data workloads in line with Vision 2030.
This article aggregates reporting from 2 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
Hexagon is a reminder that the race to AGI is as much about sovereign compute and data infrastructure as it is about model weights. A 480 MW Tier IV facility dedicated to government workloads is effectively a national AI backbone: it centralizes compute, storage, and data governance under a single authority (SDAIA) that can prioritize long-horizon, state-scale projects over short-term commercial returns.([china.org.cn](https://www.china.org.cn/world/Off_the_Wire/2026-01/02/content_118257632.shtml?utm_source=openai)) In a world where access to reliable power, cooling, and GPUs is the binding constraint on model scaling, countries that lock in large, state-backed data centers gain negotiating power with both hyperscalers and model vendors.
Strategically, Saudi Arabia is positioning itself as a regional AI infrastructure hub, complementing its cloud investments and Vision 2030 goals. Hosting sensitive government data in-country, with an explicit AI mandate, also gives SDAIA leverage to drive cross-ministry data integration—fuel for training domain-specific models in health, energy, and public services. For the broader AGI race, Hexagon underscores a shift: instead of just buying cloud from US hyperscalers, governments are building their own hyperscale-grade facilities. That complicates the geopolitical map of compute, potentially fragmenting where and how frontier models are trained and deployed.

