
OpenAI's new chip Jalapeno beats Nvidia's best in early tests.
An investor says Nvidia's scarcity ends in five to six years.
Nvidia's stock dropped 4.57% after its record quarter.
What happened
OpenAI has built an AI-designed chip called Jalapeno that, in early tests, shows superior total cost of ownership compared to Nvidia's Blackwell. Macro investor Jordi Visser predicts Nvidia's scarcity advantage will end in five to six years.
Why it matters
Nvidia's market cap of $5.31 trillion relies on its GPU scarcity. If custom silicon like Jalapeno takes even a slice of inference workloads by 2030, the DCF supporting today's price could be rewritten downward, threatening the stock's valuation.
What to watch
Whether OpenAI's chips move from tests to deployment, and how quickly. Also, Nvidia's fiscal 2028 revenue is projected to grow about 70% year over year, and the company has supply commitments of $279 billion, largely tied to Vera Rubin.
Ask the AI about this article →
The article highlights a pivotal moment for Nvidia. Despite a record quarter, with revenue up 105.8% year over year and supply commitments of $279 billion, the emergence of OpenAI's Jalapeno chip signals a potential long-term threat. Jordi Visser's argument that Nvidia's scarcity will fade in five to six years underscores the market's focus on terminal value over near-term results. The comparison between Nvidia's growth and the potential erosion of its moat is central. Jensen Huang's counter, that OpenAI's commitments represent about 12 gigawatts of compute through 2030, suggests a continued reliance on Nvidia in the near term. However, the debate over whether custom silicon will peel off a quarter of hyperscaler workloads by 2031 remains the core of the valuation risk. The article also contrasts different sector outcomes: Eli Lilly's co-innovation AI lab with Nvidia shows promise, while Coinbase's revenue decline illustrates volatility in AI-adjacent markets. For investors, the key is to reconcile the strong near-term outlook with the potential long-term disruption from custom silicon.
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