The future of AI and supercomputing is now in the palm of your hand - and more affordable than ever before. Digital transformation specialist Anabel Ternès shows how the Jetson Orin Nano is changing the playing field.
The NVIDIA Jetson Orin Nano is revolutionary because it packs supercomputing power into a device the size of the palm of your hand, setting new standards at a price of just 249 US dollars. It enables up to 40 trillion operations per second (TOPS), making it a powerful tool for applications such as machine vision, speech processing and autonomous systems.
This technology brings supercomputing, which was previously only accessible to large companies or research institutions, into the everyday lives of developers, start-ups and educational institutions. The combination of compactness, high performance and user-friendliness is particularly impressive, making complex AI applications in areas such as robotics, smart cities or IoT (Internet of Things) feasible even for smaller teams.
How can developers and researchers use the Jetson Orin Nano to improve their work in AI processing?
Developers and researchers can use the Jetson Orin Nano to implement AI models directly at the edge. Edge computing means that data processing and AI applications take place locally on the device instead of via a cloud infrastructure. This reduces latency times and enables real-time applications such as autonomous drones, intelligent robots and security systems.
With the support of NVIDIA JetPack, a software ecosystem of machine learning, computer vision and deep learning tools, users can seamlessly develop, train and deploy AI models. Compatibility with common frameworks such as TensorFlow and PyTorch facilitates integration into existing workflows. With these capabilities, the Jetson Orin Nano can significantly increase both the efficiency and innovative capacity of AI developments.
Despite its high performance, the Jetson Orin Nano consumes only 25 watts. How was this energy efficiency achieved?
The Jetson Orin Nano's impressive energy efficiency is based on NVIDIA's advanced GPU architecture, which is specially optimized for parallel computing operations. Tensor Cores, developed for AI and machine learning, enable high computing performance with low power consumption.
In addition, NVIDIA uses state-of-the-art power management technologies to ensure that the available resources are only used when needed. The Orin Nano is specifically designed to meet the requirements of embedded systems, enabling powerful AI applications even in battery-powered devices such as drones or mobile robots without drastically increasing energy consumption.
With a price of 249 dollars, how does
NVIDIA make supercomputing accessible to everyone?
With a price tag of 249 US dollars, the Jetson Orin Nano opens the door to supercomputing for a broad target group. This means that this technology is no longer limited to large companies or wealthy institutions, but is also affordable for start-ups, educational institutions and individual developers.
This price makes it possible for pupils and students in schools and universities to learn how to use state-of-the-art technology at an early stage. At the same time, smaller companies and start-ups can develop prototypes for AI-based applications at low cost.
NVIDIA also provides a wide range of supporting software tools and training materials to make it easier for people with less technical backgrounds to get started. This not only promotes innovation, but also enables the inclusive use of technologies that will increasingly shape our society.
