Nvidia Reports Record $82 Billion Quarter as Agentic AI Drives New Computing Boom

NVIDIA posted a record-breaking $82 billion in quarterly revenue as demand for next-generation artificial intelligence infrastructure surged worldwide, fueled by the rapid rise of “agentic AI.”

Speaking during Nvidia’s fiscal first-quarter earnings call, CEO Jensen Huang declared that “Agentic AI has arrived,” describing a new era where AI systems can independently complete complex business tasks rather than simply assist humans.

For years, AI in business mainly powered recommendation systems, fraud detection, and smart search tools. But agentic AI represents a major shift. These advanced systems can take instructions, break them into multiple steps, investigate information, draft reports, and carry out workflows with minimal human intervention.

According to Huang, this transformation is dramatically increasing demand for AI computing infrastructure.

“All of the thinking happens on GPUs, while orchestration runs on CPUs,” Huang explained, referring to the two-layer architecture powering AI agents. Nvidia’s graphics processing units handle reasoning tasks, while CPUs manage execution processes such as searches, browsing, and workflow coordination.

To support this growing market, Nvidia introduced its new Vera processor, designed specifically for AI execution tasks. Unlike traditional cloud-based chips built for shared workloads, Vera focuses on maximizing completed AI tasks at lower cost and faster speed.

The company expects nearly $20 billion in revenue this year from Vera chips alone, targeting a market Nvidia previously did not serve.

Nvidia also highlighted its expanding partnership with Anthropic, whose Claude AI models are increasingly used in financial analysis, legal reviews, and enterprise compliance systems. Nvidia is now building large-scale computing capacity for Anthropic across cloud platforms including Amazon Web Services and Microsoft Azure.

Beyond enterprise AI, Nvidia’s physical AI division — covering robotics, warehouse automation, and autonomous vehicles — generated over $9 billion in the past year. The company also announced a partnership with Uber to expand robotaxi operations across nearly 30 cities worldwide by 2028.

Nvidia’s networking business nearly tripled year-over-year, while consumer AI devices such as AI-powered laptops and workstations brought in $6.4 billion in revenue.

Overall, Nvidia reported:

• $82 billion total quarterly revenue, up 85% year-over-year
• $75 billion in data center revenue
• $60 billion from AI chip sales
• $15 billion from networking products

Huang told investors that global AI infrastructure spending could eventually reach between $3 trillion and $4 trillion annually by the end of the decade, with hyperscale AI spending alone projected to surpass $1 trillion by 2027.

“Compute is revenue. Compute is profit,” Huang said, underscoring Nvidia’s growing dominance in the global AI economy.