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Nvidia avoids becoming a cloud provider by following a core philosophy: "do as much as needed, as little as possible." They focus on problems only Nvidia can solve (the computing platform), and avoid markets (like cloud) where others would step in if they didn't.

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By funding and backstopping CoreWeave, which exclusively uses its GPUs, NVIDIA establishes its hardware as the default for the AI cloud. This gives NVIDIA leverage over major customers like Microsoft and Amazon, who are developing their own chips. It makes switching to proprietary silicon more difficult, creating a competitive moat based on market structure, not just technology.

Nvidia's CEO Jensen Huang reveals the company's core strategic filter: it only takes on projects that are incredibly difficult, have never been done before, and leverage the company's unique superpowers. This ensures a defensible moat, as easier problems attract too many competitors. This strategy requires an organizational tolerance for "pain and suffering."

Jensen Huang's core strategy is to be a market creator, not a competitor. He actively avoids "red ocean" battles for existing market share, focusing instead on developing entirely new technologies and applications, like parallel processing for gaming and then AI, which established entirely new industries.

NVIDIA is moving "up the stack" from chips to an AI agent software platform to diversify its business and create a new moat beyond its CUDA system. By courting enterprise partners, NVIDIA aims to maintain infrastructure dominance even if AI labs succeed with their own custom silicon, reducing reliance on NVIDIA GPUs.

Jensen Huang reframes Nvidia's business not as a chipmaker, but as a company mastering the "incredible journey" from electrons to valuable tokens. This complex, artistic, and scientific process is hard to commoditize, unlike simple software.

Nvidia maintains partnerships with everyone, including rivals. By positioning itself as a neutral, essential supplier rather than a direct competitor, it has become central to every company's AI bet, securing its dominant and indispensable market position.

Nvidia will likely only revive its ambitions to compete with AWS if its massive hardware profit margins are threatened by competitors like AMD or hyperscalers building their own chips. Only then would Nvidia move up the stack to capture value through an "inference as a service" business model, moving beyond hardware sales.

Instead of competing for market share, Jensen Huang focuses on creating entirely new markets where there are initially "no customers." This "zero-billion-dollar market" strategy ensures there are also no competitors, allowing NVIDIA to build a dominant position from scratch.

Nvidia retreated from building its own cloud service due to the difficulty and unreliability of its 'cloud of clouds' model, which leased competitor infrastructure. It has now pivoted to a less complex marketplace model, connecting customers to smaller cloud providers instead.

NVIDIA embraces the concept of "zero billion dollar markets," investing heavily in initiatives that have no immediate revenue potential. This long-term R&D strategy, like their decade-long work in autonomous driving, is key to creating and eventually dominating future markets.

Nvidia's Corporate Philosophy: Only Do the Work That No One Else Will | RiffOn