To counter the competitive threat from Google's TPUs, NVIDIA avoids direct price cuts that would hurt its gross margins. Instead, it offers strategic equity investments to major customers like OpenAI, effectively providing a "partner discount" to secure their business and maintain its dominant market position.

When offering financial backstops for its TPUs, Google has a key advantage over Nvidia. If a customer defaults on a TPU-based data center, Google can absorb the custom hardware for its own internal cloud services, a safety net that chip-focused Nvidia lacks.

Google is offering its TPUs externally for the first time as a strategic move to gain market share while it has a temporary hardware advantage over Nvidia. This classic tactic aims to build a crucial install base that can be upgraded later, even after its competitive performance edge inevitably narrows.

Concerns about NVIDIA investing in startups that then buy its chips are overblown. These deals are a strategic necessity to support an ecosystem of NVIDIA users (like OpenAI) against Google, which leverages its own TPU chips to create captive customers (like Anthropic).

The AI hardware ecosystem requires intricate partnerships, forcing rivals to invest in the same companies. Just as Google and Amazon both backed Anthropic, Nvidia is now a major financial partner to MediaTek, a key supplier for its competitor Google. This strategy is now essential for hedging bets and capturing value.

Andrew Feldman argues that NVIDIA's investment strategy is a key competitive tactic. By investing in cloud providers and model builders, they create strong incentives for those partners to remain within the NVIDIA ecosystem, making it difficult for competing chip manufacturers to gain a foothold.

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.

Google is targeting Nvidia's "NeoCloud" customers by positioning its TPUs as a more consistent hardware platform. While Nvidia's chips are powerful, each generation involves radical design changes, creating integration challenges that Google's more stable TPU architecture avoids.