- Openai imagine personal GPUs that repeat Bill Gates’ computer-on-every-Desk-Dream
- Ten billion GPUs would overwhelm electric grids already struggling with demand
- Powering Billions of GPUs in data centers require petawatt -electricity
Openai President Greg Brockman has outlined a future where AI tools are constantly running even when their users are asleep.
In a CNBC interview with NVIDIA CEO Jensen Huang and Openai CEO Sam Altman, Brockman said the world will eventually require “10 billion GPUs” to maintain this vision.
He framed the demand as part of a wider course where the “economy is driven by calculation”, suggesting that the calculation of resources could be as central as currency.
Dedicated GPUs to all
Brockman went ahead and argued, “You really want any person to have their own dedicated GPU.”
The idea repeats previous technological ambitions, such as Bill Gates’ prediction in the 1990s of a computer on each desk.
Back then, the performance was both celebrated and ridiculed, but today computer devices have become close to ubiquitous.
Brockman’s framing of a GPU for any individual fits into this descent, although critics may wonder if the comparison is premature considering global resource restrictions.
While Nvidia has grown to the undisputed supplier of GPU hardware for large-scale AI models, the number is being discussed is staggering.
Altman compared the Nvidia-Oopenai partnership with the Apollo program with reference to its unprecedented scale.
Still, there are missing from these projections is any detailed discussion of the energyproofprint that such an infrastructure would require.
Brockman also talked about threatening “calculation button”, suggesting that the supply of GPUs could become a global shock point.
The role of Nvidia’s products has already entered sensitive geopolitical terrain, especially in trade disputes between the United States and China.
If GPUs become de facto economic units in a calculation-driven economy, this scarcity can elaborate on both market and diplomatic tensions.
Although the rhetoric of always-working AI and agent systems is magnificent, feasibility remains uncertain.
A system that gives every person, a dedicated GPU, would struggle production capacity, energy production and distribution channels.
Without clear answers to these challenges, the vision risks less as a roadmap and more like an ambitious pitch.
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