"The hyperscalers may be building the AI economy, but Nvidia is supplying the engines. According to Nvidia's latest annual report, data-center revenue surged 75% year over year to $193.7 billion, driven largely by demand from cloud providers deploying Hopper and Blackwell AI systems."
"Nvidia's CUDA platform remains deeply embedded across enterprise AI workloads, making it difficult for customers to switch ecosystems without rewriting applications and retraining developers. In any case, infrastructure transitions rarely happen overnight."
"Hyperscalers are racing to deploy AI services now, not three years from now. Nvidia already has production scale, developer adoption, networking hardware, and software integration in place. That reduces deployment risk for cloud providers trying to monetize AI products quickly."
Wall Street's focus has shifted from quarterly cloud growth to metrics like power consumption, GPU shipments, and data-center construction. The largest hyperscalers, including Amazon, Microsoft, Alphabet, and Meta, are expected to spend around $710 billion on AI infrastructure this year. Nvidia plays a crucial role in this ecosystem, with its data-center revenue increasing significantly due to demand for AI systems. Despite competition, Nvidia's established software and infrastructure provide a competitive edge, allowing for faster deployment of AI services.
Read at 24/7 Wall St.
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