Nvidia CEO Jensen Huang projects $1T AI chip demand and revenue surpassing $1T by 2027 amid rising data center expansion.
Nvidia CEO Jensen Huang said the company expects revenue to pass $1 trillion by 2027. He shared this outlook at the GTC conference in San Jose.
The forecast comes as companies increase spending on artificial intelligence systems and related hardware.
Strong Demand for AI Chips
Huang said purchase orders for next-generation chips could reach $1 trillion by 2027. He pointed to rising demand from startups and large technology firms.
These firms are building more AI systems and expanding data center capacity.
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He said, “If they could just get more capacity, they could generate more tokens, their revenues would go up.”
This statement reflects how computing power connects to business growth. More computing allows more AI output, which supports higher earnings.
Nvidia’s GPUs are widely used in AI systems. These include large language models and software that can act on tasks.
As these systems grow, companies require more chips and faster processing.
The company also expects strong near-term growth. It forecast quarterly revenue of about $78 billion. This would mark a 77% rise from the previous year.
Nvidia has reported more than 55 percent growth for several quarters.
Vera CPU Emerges As a Major Revenue Driver
Nvidia CEO Jensen Huang said the Vera CPU is already becoming a multi-billion dollar business.
He noted that the company did not expect strong standalone CPU sales at first, but demand has increased.
The system is now positioned as a key part of Nvidia’s AI infrastructure strategy.
The Vera CPU uses Arm-based cores and delivers higher efficiency than traditional CPUs.
It also provides faster performance for single-thread tasks. Huang explained that CPUs play a key role in AI systems, as they handle tasks like running code and managing data.
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He said slower CPUs can limit GPU performance, which affects system output. The Vera platform aims to improve coordination between CPUs and GPUs.
Nvidia is working with cloud providers and hardware partners to expand deployment of this system.
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Software Expansion and Ecosystem Growth Support AI Scale
Nvidia expanded its software ecosystem to support wider AI adoption.
Huang described how AI has moved from basic generation to reasoning and now to agent-based systems.
He said many developers now rely on AI agents in daily workflows. The company launched Dynamo 1.0 as an open-source inference system.
It improves performance and is used by major cloud providers such as AWS and Azure.
Nividia also introduced OpenShell and NemoClaw to support secure deployment of AI models.
Several large software firms are adopting these tools across enterprise systems. Nvidia also works with robotics, automotive, and healthcare companies to expand its platform.
These efforts support broader use of AI across industries while increasing demand for its hardware and software solutions.
