OpenAI is actively diversifying its partners across the supply chain—multiple cloud providers (Microsoft, Oracle), GPU designers (Nvidia, AMD), and foundries. This classic "commoditize your compliments" strategy prevents any single supplier from gaining excessive leverage or capturing all the profit margin.

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Firms like OpenAI and Meta claim a compute shortage while also exploring selling compute capacity. This isn't a contradiction but a strategic evolution. They are buying all available supply to secure their own needs and then arbitraging the excess, effectively becoming smaller-scale cloud providers for AI.

OpenAI embraces the 'platform paradox' by selling API access to startups that compete directly with its own apps like ChatGPT. The strategy is to foster a broad ecosystem, believing that enabling competitors is necessary to avoid losing the platform race entirely.

Nvidia's staggering revenue growth and 56% net profit margins are a direct cost to its largest customers (AWS, Google, OpenAI). This incentivizes them to form a defacto alliance to develop and adopt alternative chips to commoditize the accelerator market and reclaim those profits.

Unlike competitors focused on vertical integration, Microsoft's "hyperscaler" strategy prioritizes supporting a long tail of diverse customers and models. This makes a hyper-optimized in-house chip less urgent. Furthermore, their IP rights to OpenAI's hardware efforts provide them with access to cutting-edge designs without bearing all the development risk.

Even if Google's TPU doesn't win significant market share, its existence as a viable alternative gives large customers like OpenAI critical leverage. The mere threat of switching to TPUs forces NVIDIA to offer more favorable terms, such as discounts or strategic equity investments, effectively capping its pricing power.

Major AI labs aren't just evaluating Google's TPUs for technical merit; they are using the mere threat of adopting a viable alternative to extract significant concessions from Nvidia. This strategic leverage forces Nvidia to offer better pricing, priority access, or other favorable terms to maintain its market dominance.

Beyond capital, Amazon's deal with OpenAI includes a crucial stipulation: OpenAI must use Amazon's proprietary Trainium AI chips. This forces adoption by a leading AI firm, providing a powerful proof point for Trainium as a viable competitor to Nvidia's market-dominant chips and creating a captive customer for Amazon's hardware.

OpenAI's deal structures highlight the market's perception of chip providers. NVIDIA commanded a direct investment from OpenAI to secure its chips (a premium). In contrast, AMD had to offer equity warrants to OpenAI to win its business (a discount), reflecting their relative negotiating power.

By inking deals with NVIDIA, AMD, and major cloud providers, OpenAI is making its survival integral to the entire tech ecosystem. If OpenAI faces financial trouble, its numerous powerful partners will be heavily incentivized to provide support, effectively making it too big to fail.

The deal isn't just about cloud credits; it's a strategic play to onboard OpenAI as a major customer for Amazon's proprietary Tranium AI chips. This helps Amazon compete with Nvidia by subsidizing a top AI lab to adopt and validate its hardware.