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NVIDIA Unveils Advanced AI Models for Smarter Enterprise and Physical Applications - Blockchain.News

NVIDIA Unveils Advanced AI Models for Smarter Enterprise and Physical Applications

Timothy Morano Aug 11, 2025 13:54

NVIDIA introduces Nemotron and Cosmos reasoning models, enhancing AI agents across various sectors like cybersecurity and robotics, aiming for $450 billion in revenue gains by 2028.

NVIDIA Unveils Advanced AI Models for Smarter Enterprise and Physical Applications

In a groundbreaking announcement at SIGGRAPH, NVIDIA introduced two expanded model families, Nemotron and Cosmos, designed to enhance AI agents for enterprise and physical applications. Industry leaders such as CrowdStrike, Uber, and Zoom are among the first to leverage these models, aiming to drive productivity and innovation through smarter AI systems, according to NVIDIA's official blog.

AI Agents: A $450 Billion Opportunity

NVIDIA's latest models are poised to significantly impact the AI landscape, with predictions of up to $450 billion in revenue gains and cost savings by 2028. The company is focusing on high-performing reasoning models to improve AI platforms and physical AI systems, thereby facilitating smarter outcomes in sectors ranging from customer service to robotics.

Nemotron: Precision and Efficiency in Enterprise AI

The Nemotron models, particularly the Nemotron Nano 2 and Llama Nemotron Super 1.5, are designed to offer unparalleled accuracy in scientific reasoning, coding, and more. These models enable AI agents to explore broader options, speed up research, and deliver smarter results efficiently. By utilizing leading datasets and advanced AI techniques, Nemotron models provide an accurate and efficient starting point for developing autonomous decision-making systems.

Cosmos Reason: Advancing Physical AI

Cosmos Reason, a vision language model, is tailored for physical AI applications like robotics and autonomous vehicles. It excels in understanding real-world concepts such as physics and space-time alignment, enabling robots to perform complex tasks using structured reasoning. This model serves as the reasoning backbone for robotics, enhancing capabilities in training data critiquing and decision-making.

Industry Adoption and Impact

Enterprises across various sectors are adopting these models to improve their AI capabilities. Zoom plans to integrate Nemotron models into its AI Companion to manage tasks across its platforms. CrowdStrike is testing these models for query writing on its Falcon platform. Additionally, companies like EY and NetApp are exploring these models for applications in finance and data analysis.

On the physical AI front, Uber is using Cosmos Reason to enhance autonomous vehicle behavior analysis. The model helps interpret environments and break down complex commands into executable tasks, even in new settings. This capability is crucial for improving safety and efficiency in urban operations and autonomous driving.

Future Prospects

NVIDIA's reasoning models are expected to be available as microservices across various platforms, ensuring secure and reliable deployment. These models are set to revolutionize how businesses and industries utilize AI, offering improved accuracy, efficiency, and decision-making capabilities.

Image source: Shutterstock
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