In Abilene, Texas, we employ a substantial part of the local population in skilled trades necessary for building AI data centers, which requires importing labor due to the specialized skills needed.

The infrastructure investment required for AI at a global scale is much larger than for other technologies, necessitating a collaborative effort to build it.

Project Stargate aims to finance and build an unprecedented amount of compute to meet the growing demand for AI capabilities.

We need to develop scaling science alongside our compute scaling efforts to ensure effective advancements in AI capabilities.

The first Stargate site being built in Abilene will represent about 10% of the initial commitment to the project, which is estimated at half a trillion dollars.

The demand for data centers is increasing as more people want to use AI models, and we need to ensure we have enough infrastructure to support this demand.

The scale of mega cluster buildouts for AI is unprecedented, with data center power consumption expected to rise significantly, driven by the demands of AI training and inference.

The investment in AI infrastructure by nations is substantial, with estimates ranging from $100 billion to $250 billion for cluster buildouts, indicating a dramatic shift towards sovereign AI capabilities.

At Scale, we power the data infrastructure for the entire AI industry, with every major large language model built on top of our data engine, and we partner with enterprises and governments to implement this technology for their unique challenges.