Nvidia has taken a leap into agentic AI, focusing on systems capable of autonomous decision-making, as it reported remarkable earnings for the third quarter.
Agentic AI, a term referring to self-directed AI systems, lies in Nvidia's strategy. These systems are designed to independently interpret goals, decompose complex tasks, make decisions, and execute actions with minimal human input.
The company's founder and CEO, Jensen Huang, highlighted the impact of artificial intelligence across industries and emphasized Nvidia's role in driving this shift with its advanced computing technologies.
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Huang noted on November 20 that AI's adoption is fueling a global transition to Nvidia's computing platforms. The firm reported a 17% rise in revenue from the previous quarter and a 94% year-over-year increase.
A contributor to this success was the $35.1 billion generated by its data center division. The company is optimistic about sustaining this momentum, forecasting $37.5 billion in revenue for the fourth quarter.
During the earnings call, Huang stressed the growing prominence of agentic AI, describing it as a game-changer for businesses. Enterprises, he explained, are leveraging these technologies to enhance processes and workflows, with AI-native organizations continuing to expand.
To support the development and deployment of agentic AI, Nvidia has invested in high-performance computing solutions, such as its Hopper and Blackwell GPUs. The company also provides robust software frameworks and development tools, enabling businesses to create autonomous systems tailored to their needs.
Nvidia's ambitions are not without competition. Microsoft, for instance, is also making strides in this field. On November 19, the company introduced new AI tools designed to perform tasks independently, including enhancements to its Copilot AI assistant.
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