
16 min • 3 lectures
Anthropic has transitioned from a safety-focused boutique research lab into an industrial-scale infrastructure provider. This shift is driven by massive compute deals with Amazon, Google, and SpaceX, resulting in a significant increase in Claude 3.5 Sonnet rate limits. The course examines how these partnerships provide the hardware and connectivity required to compete with OpenAI. We analyze the transition from model scarcity to compute abundance and the development of massive compute clusters. The curriculum covers the immediate impact of these infrastructure bets on AI access and the move toward becoming a sovereign compute entity. Technical and strategic implications of this expansion are explored in detail. We discuss the move toward gigawatt-scale power requirements, including the use of nuclear energy to sustain large data centers. The course also evaluates the role of SpaceX in providing low-latency connectivity for distributed training and inference across global clusters. For developers and founders, these changes signal a shift in focus from minimizing token costs to building complex, high-throughput agentic workflows. As compute constraints diminish, market competition moves toward the orchestration of large-scale systems. Participants will learn how to adapt their product roadmaps to leverage this new era of industrial intelligence and the resulting pricing shifts in the AI economy.