Nvidia is making a significant push into artificial intelligence (AI) with the introduction of its new Nemotron family of large language models. Announced by CEO Jensen Huang at the 2025 Consumer Electronics Show (CES), these models will allow developers to create AI agents that can perform complex tasks autonomously. With applications in areas such as customer support and fraud detection, these AI agents are designed to boost productivity within businesses. Companies like SAP and ServiceNow are already interested in utilizing these models. Additionally, Nvidia unveiled powerful new chips and other advanced technologies that aim to strengthen its position as a leader in the AI Market, promising transformative impacts on various industries.
Nvidia Unveils New A.I. Agents at CES 2025: A Game-Changer for Businesses
Nvidia, the leading technology company, is doubling down on the potential of A.I. agents, presenting them as a significant opportunity for businesses. During a keynote at the Consumer Electronics Show (CES) on January 6, 2025, CEO Jensen Huang introduced the Nemotron family of large language models designed for developers. These models aim to create autonomous bots capable of performing complex tasks without human oversight.
The Nemotron models, built on Meta’s Llama framework, allow businesses to tailor A.I. agents to their specific needs. This includes applications such as customer support, fraud detection, and inventory management. Huang emphasized that these agents could serve as a digital workforce, augmenting human employees by handling tasks efficiently.
Demonstrations during the keynote showcased various A.I. agents. One notable example was a research assistant designed for students, capable of transforming academic materials into interactive podcasts. Other showcased agents included those for software security and factory operations, highlighting Nvidia’s commitment to enhancing productivity across industries.
Major corporations have already expressed interest in these new models. SAP’s chief A.I. officer noted that they anticipate massive engagement from enterprise users with Nvidia’s A.I. agents. ServiceNow plans to leverage the Nemotron models to create advanced services that solve complex problems with ease.
In addition to the Nemotron models, Nvidia also launched the powerful Blackwell chip family, which is projected to create a $100 billion Market opportunity. This underscores the company’s ambition in both hardware and software development in the realm of A.I.
As these advancements position Nvidia as a frontrunner in the A.I. landscape, the stock Market has reacted positively. Nvidia’s Market value surged past $3.47 trillion, briefly exceeding that of Apple.
With these innovations, Nvidia not only reinforces its leadership in technology but also sets the stage for a transformative shift in how companies operate with A.I. agents.
Keywords: Nvidia A.I. agents, Nemotron models, CES 2025
Tags: technology news, A.I., Nvidia, Jensen Huang, CES 2025, business innovation
What are the new LLM models from Nvidia?
Nvidia has introduced a new set of large language models (LLMs) designed to enhance AI agents. These models improve how AI understands and generates human-like text.
How do these models work?
These LLM models use advanced techniques to process large amounts of information and learn patterns in human language. This helps them to provide better responses in conversations and tasks.
What are the benefits of these models for AI agents?
The new LLM models allow AI agents to be more accurate and responsive. This means they can help users with tasks more effectively, making interactions smoother and more natural.
Can anyone use these models?
Yes, Nvidia’s LLM models are available for developers and businesses. They can integrate these models into their applications to create smarter AI solutions.
What industries can benefit from Nvidia’s LLM models?
Various industries can benefit, including customer service, healthcare, education, and entertainment. By using these models, they can improve communication and enhance user experiences.