Nvidia spends $500 million to develop supercomputers in Israel
629
English
English
At the opening ceremony of the 2025 International Consumer Electronics Show (CES), NVIDIA CEO Jensen Huang announced the launch of the "Blueprint for AI Agents". This new platform is based on NVIDIA's Metropolis system and is designed to help organizations and individuals improve productivity and safety, and even help athletes improve performance.
More than 1.5 billion enterprise-level cameras have been deployed around the world, generating approximately 7 trillion hours of video data annually. However, less than 1% of video content is viewed by humans in real time, which means that many critical events may be ignored, resulting in huge economic losses. For example, the manufacturing industry loses trillions of dollars every year due to failure to detect product defects in time.
The new AI blueprint allows developers to take advantage of powerful visual perception capabilities to create AI agents that can analyze large amounts of video and image content. These AI agents can serve as 24/7 video analysts, helping factories improve efficiency, enhance worker safety, and assist athletes improve their skills.
This blueprint integrates the NVIDIA AI enterprise software platform to support fast video batch processing, which is 30 times faster than real-time viewing. Its built-in reasoning, task planning and tool calling functions enable developers to simplify the creation of multiple visual agents and solve complex problems. Enterprises can flexibly deploy these AI agents from the edge to the cloud as needed.
In the industrial field, the application of these video analysis AI agents can significantly improve production efficiency, reduce waste, and ensure standard operation of complex processes. In addition, they can optimize warehouse space utilization through 3D volume estimation, generate incident reports to improve safety, and quickly identify abnormal activities to prevent accidents.
The sports field can also benefit from this technology. Coaches and sports teams rely on video analytics to evaluate and improve player performance, enhance safety, and enhance the spectator experience through data visualization. In his speech, Huang showed off an AI video analysis agent that can analyze the pitching skills of amateur baseball players and provide suggestions for improvement.
NVIDIA's media and entertainment industry is also actively exploring the potential of this technology, aiming to create smarter and more personalized content and enhance the audience's viewing experience. Currently, global partners including Accenture, EF Education First, and Lianshi Technology are integrating the blueprint into their development workflows.
Official blog: https://blogs.nvidia.com/blog/metropolis-ai-blueprint-video/
AI courses are suitable for people who are interested in artificial intelligence technology, including but not limited to students, engineers, data scientists, developers, and professionals in AI technology.
The course content ranges from basic to advanced. Beginners can choose basic courses and gradually go into more complex algorithms and applications.
Learning AI requires a certain mathematical foundation (such as linear algebra, probability theory, calculus, etc.), as well as programming knowledge (Python is the most commonly used programming language).
You will learn the core concepts and technologies in the fields of natural language processing, computer vision, data analysis, and master the use of AI tools and frameworks for practical development.
You can work as a data scientist, machine learning engineer, AI researcher, or apply AI technology to innovate in all walks of life.
