Nvidia is approaching a milestone that would have seemed implausible just two years ago: $100 billion in quarterly revenue. The trajectory, fueled by relentless demand for AI training and inference hardware, has turned the Santa Clara chipmaker into the most valuable public company on Earth.
The numbers reflect a fundamental shift in computing. Every major technology company — from cloud providers to social networks to automotive manufacturers — is now buying GPUs at scale to train and run AI models. Nvidia's data center business, which was a fraction of its revenue three years ago, now dominates the income statement.
But the concentration of so much AI infrastructure spending on a single supplier raises strategic questions. Tech giants are racing to develop custom AI chips to reduce Nvidia dependence, and the chipmaker's own customers are simultaneously its potential competitors. The question isn't whether Nvidia can keep growing, but how long the current demand-supply imbalance persists.
For now, the answer looks like years, not quarters. The AI buildout is still in early innings, and Nvidia's CUDA ecosystem creates switching costs that no competitor has matched.