Nvidia’s grip on AI hardware forces even Amazon and Google to bow quietly before Jensen Huang’s unmatched influence and control

Nvidia GPUs remain the unshakable backbone of global AI progress
Amazon and Google discreetly notify Jensen Huang before revealing AI chip projects
Cloud computing giants still cannot survive without Nvidia’s critical GPU supply

Nvidia has established a level of control over AI hardware which few other companies in the technology sector can match.

The company’s GPUs have become the essential foundation for modern AI tools, large-scale cloud computing services, and data center workloads.

This dominance means competitors and partners alike are compelled to recognize Nvidia’s influence in the industry.

Deference from Amazon and Google

Large companies such as Amazon and Google even inform Nvidia CEO Jensen Huang ahead of announcements related to their own AI chip programs.

The Information notes, “at the center of it all is Huang, to whom other leaders in the industry show unusual forms of deference.”

Both companies are seeking to lessen dependence on Nvidia, yet they still choose to notify Huang first, reflecting his position in the industry’s hierarchy.

Insiders suggest this deference arises because “the cloud computing businesses of Amazon and Google can’t survive without access to Nvidia’s GPUs.”

While both companies explore their own in-house designs, the reality is that their largest AI projects remain reliant on Nvidia’s hardware.

The scale of demand is so vast that a single collaboration between OpenAI and Nvidia could consume four to five million GPUs.

Orders for the GB300 AI server have similarly been described as “unimaginable” by a Quanta AI executive.

Thus, in practice, even the largest firms cannot bypass Huang’s awareness if their projects require millions of Nvidia GPUs.

Despite efforts from AMD and Intel, Nvidia’s lead in AI GPU technology appears secure. AMD has yet to close the gap, and Intel is often described as operating on the sidelines.

For now, Huang is seen as the “AI GPU Godfather,” a figure whose oversight of the sector makes it difficult for rivals to make progress without drawing his attention.