NVIDIA CEO Jensen Huang: Billions of AI Agents Will Require Dedicated Computing Power
NVIDIA CEO Jensen Huang stated that billions of AI Agents will operate 24/7 globally.
Just as we equip every digital worker with laptops and data center resources, each AI Agent will receive dedicated computing power and storage resources in the future.
Investors in AI infrastructure and data center operators are accelerating their layouts in the market. NVIDIA is reinforcing the demand for full-stack computing through the narrative of the Agent era. NVIDIA, data centers, and dedicated AI hardware will benefit, while general shared computing power will face short-term pressure. Funding is rapidly concentrating on dedicated computing and storage infrastructure for Agents.
Source: Public Information
ABAB AI Insight
Jensen Huang has previously predicted the large-scale proliferation of AI Agents in multiple GTC keynotes. This viewpoint continues his strategy of a comprehensive transition from the GPU training era to the 'Agent era', emphasizing that each Agent requires independent computing and storage, similar to the logic of personal computer proliferation during the PC revolution.
In terms of capital pathways, NVIDIA will prioritize the Blackwell and Rubin architectures along with NVLink and storage solutions for mass Agent deployment, while promoting data centers to shift from shared cloud resources to dedicated resource pools for Agents. The motivation is to expand AI infrastructure from training a few large models to the daily operation of billions of Agents globally, creating a closed loop from hardware sales to long-term data center leasing and ecosystem revenue.
Similar to how Intel and Microsoft dominated personal computing in the PC era, and the ARM ecosystem exploded in the smartphone era, Huang is currently positioning NVIDIA at the forefront of AI Agent infrastructure, driving the industry from centralized large models to a distributed phase of massive personal/business Agent computing.
Structural judgment: This essentially belongs to capital concentration. The scaling of AI Agents requires independent computing and storage for each Agent, as the mechanism of massive parallel demand far exceeds the current shared cloud model, forcing huge capital and power resources to concentrate highly on a few platforms with full-stack hardware, interconnectivity, and data center capabilities, thereby shifting pricing power from general cloud service providers to dedicated Agent computing power providers.
ABAB News · Cognitive Law
The more Agents there are, the more dedicated computing power is a necessity.
After personal PCs, there are personal Agents.
In the era of hundreds of millions of Agents, infrastructure will be completely restructured.