Artificial intelligence agents are changing how businesses work. According to Capgemini, these agents could help companies save or earn up to 450 billion dollars by 2028. Developers want AI agents to be smarter and more reliable, so they are turning to advanced AI models like NVIDIA's Nemotron and Cosmos.
NVIDIA recently introduced new and improved versions of its Nemotron and Cosmos models. Big companies such as CrowdStrike, Uber, NetApp, Magna and Zoom are already using them to make teams of AI agents and robots that are more helpful and more efficient.
Nemotron Nano 2 and Llama Nemotron Super 1.5 are especially powerful. They are good at following instructions, solving math problems, programming, working with tools, and having conversations. These models give AI agents the ability to "think" more like humans and handle more complex tasks. They can search for solutions faster and deliver better results for businesses.
Building a useful AI agent requires more than just a strong model. Each agent needs to understand how a given business works, use the right language and act safely. NVIDIA provides libraries and tools to help companies train AI agents for specific tasks.
Cosmos Reason is one of NVIDIA’s latest vision and language models. It is made to help robots and AI agents understand and interact with the real world. This model knows about physics, objects, and how things change over time and space, so it can guide robots and analyze videos in places like factories or cities.
Nemotron models are known for their high accuracy and efficiency. They use advanced methods and open datasets chosen by NVIDIA. The newest versions have new features that allow them to work faster and with lower costs, while delivering smarter results. For example, Nemotron Nano 2 can process more information than other similar-sized models, and Llama Nemotron Super 1.5 is very good at complex reasoning tasks. These strengths make AI agents more capable of thinking through problems and making decisions without human help.
Many companies use these models for unique needs. Zoom is working with Nemotron to help its AI Companion assist users in meetings and documents. CrowdStrike is testing Nemotron to let its AI write queries for cybersecurity tasks. EY is adopting Nemotron to improve financial and risk management AI. NetApp is using it for business data analysis, and Tabnine is using it to help computer programmers.
Cosmos Reason is also making a big impact in robotics and video analysis. For example, Uber is trying Cosmos Reason to analyze how autonomous cars behave and to summarize what is happening in video footage. Companies like Ambient.ai and VAST use it to improve safety in workplaces and cities by processing large amounts of video data. It can help spot when people are not wearing safety equipment or when unusual events happen on the road.
These NVIDIA models will be available for easy use in different cloud platforms such as Amazon or Google. Businesses can also try Cosmos Reason or Nemotron on various websites or download them for free.
In short, NVIDIA’s Nemotron and Cosmos Reasoning Models are helping businesses and developers build AI agents that are not only smarter but also safer and more efficient. These tools are powering the next generation of digital helpers and robots for all kinds of industries.
Original article and image: https://blogs.nvidia.com/blog/nemotron-cosmos-reasoning-enterprise-physical-ai/
