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ToggleNvidia, the global chip giant, recently published an in-depth article on the social media platform X titled " AI is a five-layer cake ," redefining the market's understanding of artificial intelligence (AI). Nvidia clearly points out that AI is not just a smart application or a single model, but an indispensable infrastructure like electricity and the internet.
The article emphasizes that in the history of computing, most software consisted of pre-recorded instructions, with algorithms written by humans and then executed by computers. However, AI has completely broken this framework, becoming the first technology in history capable of instantly understanding unstructured information (such as images, sounds, and text) and generating intelligence.
Dissecting the Five-Layer Architecture of AI: Energy is the Absolute Limitation
To illustrate this industrial-scale transformation, NVIDIA breaks down the AI industry structure into five levels:
- Energy: The most fundamental and crucial foundation. Nvidia points out that instantaneously generated intelligence requires instantaneous electrical conversion; energy is the absolute ceiling limiting how much intelligence the entire system can generate.
- Chips: Responsible for efficiently converting electricity into computing power, they determine the speed of AI expansion and the cost of intelligence.
- Infrastructure: This includes land, cooling systems, and networks. These systems, which coordinate tens of thousands of processors, are called "AI factories" by Nvidia and are specifically designed to create intelligence rather than store information.
- Models: AI models covering fields such as language, biology, chemistry, and physics simulation.
- Applications: Located at the top level, these are where real economic value is created, such as new drug development platforms, legal assistants, or self-driving cars.
Trillions of dollars in construction projects ignite labor demand
Nvidia emphasizes that every successful AI application creates significant demand across all levels, even extending to the power plants that sustain its operation. Currently, global AI development has only invested hundreds of billions of dollars, with trillions more in infrastructure yet to be built, representing the largest construction boom in human history.
It's worth noting that this wave isn't limited to tech elites; there's also a pressing need for plumbers, steelworkers, plumbers, and network technicians to build AI factories. Simultaneously, AI is driving productivity in the knowledge economy. For example, in radiology, AI taking over routine image interpretation allows doctors to focus on medical judgment and doctor-patient communication, thereby creating more medical capacity and employment opportunities.
Open source models overcome practical barriers
Over the past year, AI models have made significant progress in reasoning capabilities and reducing illusions, crossing the threshold of large-scale practical application for the first time. NVIDIA specifically highlighted the key role played by open-source models in this process. The article mentions that the widespread release of models with powerful reasoning capabilities, such as DeepSeek-R1, has not only accelerated the adoption of applications but also directly stimulated huge demand for underlying training, infrastructure, chips, and energy.
Nvidia concluded that we are still in the very early stages of this industrial transformation, with much of the infrastructure and workforce yet to be in place. However, the direction has been set, and the speed of participation and responsible deployment by various sectors will determine the final shape of this AI era.
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