Capital expenditure charts reveal a startling trend: Meta is spending as much on data centers and GPUs as AWS, Microsoft Azure, and Google Cloud combined. Yet, Meta has no public cloud service to sell you. Instead, they are executing a deliberate strategy to break the high-margin business models of the incumbent cloud providers by attacking the most profitable layer of their stack.

The core of Meta's attack is "commoditizing the complement." While AWS and Azure push expensive Model-as-a-Service offerings like GPT-4, Meta releases its LLaMA models as open weights. By making state-of-the-art intelligence free, Meta devalues the proprietary software layer. Developers can now download powerful models and run them anywhere, stripping away the premium pricing power of the cloud giants.

Meta isn't just giving away software; they are building custom silicon called MTIA to power their own infrastructure. This mirrors moves by AWS (Trainium) and Azure (Maia), but Meta uses it to lower costs without relying on NVIDIA's supply chain. Combined with their open-source framework PyTorch, Meta is creating an ecosystem where the only thing left to buy from rivals is raw compute power.