Anthropic is pioneering a new hardware strategy. Instead of just renting Tensor Processing Units (TPUs) from Google Cloud, it is buying the chips directly from co-designer Broadcom. This gives Anthropic more control over its infrastructure, a significant move away from the standard cloud-centric model for AI companies.

Instead of simple cash transactions, major AI deals are structured circularly. A chipmaker sells to a lab and effectively finances the purchase with stock warrants, betting that the deal announcement itself will inflate their market cap enough to cover the cost, creating a self-fulfilling financial loop.

Lenders are hesitant to finance massive data centers for private tenants like OpenAI without a credit rating. NVIDIA guarantees OpenAI's lease payments, making the project "bankable" and securing a massive future customer for its chips.

AMD is guaranteeing to rent cloud provider Crusoe's unused chips. This de-risks a $300M loan from Goldman Sachs that Crusoe then uses to buy more AMD chips. This creates a circular financing playbook that ensures demand and accelerates sales of AMD's hardware.

Anthropic's choice to purchase Google's TPUs via Broadcom, rather than directly or by designing its own chips, indicates a new phase in the AI hardware market. It highlights the rise of specialized manufacturers as key suppliers, creating a more complex and diversified hardware ecosystem beyond just Nvidia and the major AI labs.

Broadcom is solidifying its position as the key alternative to NVIDIA's locked-in ecosystem by becoming the preferred design partner for custom AI chips (ASICs). Its deep partnerships with major players like Anthropic and OpenAI to develop specialized hardware highlight a growing demand for tailored, cost-efficient silicon.

Nvidia is helping customers finance its expensive AI chips through unconventional methods like creating special purpose vehicles for debt or exchanging chips for equity. This indicates that the high cost of its hardware is a significant sales hurdle requiring innovative solutions.

As the AI build-out matures, financing is shifting from construction to the chips themselves, which can exceed 50% of a data center's cost. Creative solutions are emerging, such as financing backed by the value of the chips or the compute contracts they service, moving beyond traditional loans.

Beyond selling GPUs, Nvidia is providing billions in financial guarantees to smaller "neocloud" companies. This strategic move de-risks data center development for these emerging players, ensuring they can secure debt and build the very infrastructure that will consume Nvidia's chips in the future. Nvidia is effectively underwriting its own future demand.