The Compute Moat: Why Infrastructure Is the New AI Frontier

The AI industry is moving from a competition over model intelligence to a race for physical infrastructure. This course examines how land, electricity, and hardware chips now define the competitive landscape. We focus on Anthropic's recent moves to secure massive compute capacity, such as its deal with SpaceX for access to the Colossus 1 data center in Memphis. By deploying 220,000 NVIDIA GPUs, including the latest Blackwell GB200s, companies are working to solve the throttling issues that currently limit tools like Claude Code. This section explains why the physical location and power supply of a data center directly impact the daily rate limits and performance experienced by end-users and developers. Further lectures explore the massive energy demands of scaling AI, covering multi-gigawatt deals with Amazon, Google, and Microsoft. We analyze the shift from software-as-a-service to an infrastructure-as-a-service reality, where access to a stable power grid is a primary business requirement. As terrestrial constraints like cooling water and land availability become more restrictive, the series looks toward the possibility of space-based data centers. We investigate how orbital compute could use solar power and infinite cooling to bypass Earth's limitations. By the end of this series, you will understand the strategic alliances between AI labs and infrastructure providers that are shaping which tools remain reliable in a hardware-constrained market.