Nvidia CEO Jensen Huang said the company has identified a brand new $200 billion [1] market for CPUs powering AI agents.
This pivot comes as Nvidia faces increasing pressure from traditional rivals and cloud service providers. These competitors are increasingly developing their own custom AI silicon to reduce reliance on Nvidia's dominant hardware ecosystem.
The new opportunity centers on the Vera CPU, a processor designed specifically to support the infrastructure required for billions of AI agents [1]. While Nvidia is primarily known for its Graphics Processing Units (GPUs), the Vera CPU represents a strategic push into the central processing unit market to capture this specific AI agent niche [2].
Market analysts have expressed anxiety regarding the company's long-term moat as competition intensifies [1]. Rivals such as Intel and AMD continue to iterate on their own AI-capable hardware, while major cloud providers seek to optimize their own chips for specific workloads to lower costs [1].
Huang said the Vera CPU is the key to unlocking this $200 billion [3] opportunity. By targeting the specific requirements of AI agents, which require different processing characteristics than large language model training, Nvidia aims to establish a new revenue stream that is less susceptible to the volatility of the GPU market [2].
The company intends to leverage its existing software ecosystem to ensure that the Vera CPU integrates seamlessly with its AI software stack. This approach is intended to maintain the company's grip on the AI infrastructure market even as the industry shifts toward more specialized agentic workflows [1].
“Nvidia CEO Jensen Huang said the company has identified a brand new $200 billion market for CPUs powering AI agents.”
Nvidia is attempting to diversify its hardware portfolio beyond GPUs to prevent a potential plateau in AI chip demand. By creating a specialized CPU for AI agents, the company is moving to control the entire compute stack, making it harder for cloud providers to swap Nvidia hardware for in-house alternatives.





