The edge AI market is rapidly expanding as more and more organisations seek to harness the power of AI to drive insights and automate decision-making at the edge of their network. To meet this demand, chipmakers are racing to develop processors that can deliver the performance and efficiency needed to power edge AI applications. One of the most exciting recent developments in this field is the launch of the Nvidia Jetson Orin platform.
The Jetson Orin is Nvidia's next-generation platform for edge AI applications. It boasts several features that make it a gamechanger in the world of edge AI, including :
1. High-performance AI: The Jetsor Orin AGX can reach up to 275 trillion operations per second (TOPS) and 8x the performance of the last generation for multiple concurrent AI inference pipelines, plus high-speed sensor interface, making them the ideal solution for a new age of robotics.
2. Energy efficiency : The Jetson Orin has been designed to minimize power consumption while still offering unprecedented performance. This makes it suited for embedded systems that need to run for an extended period of time.
3. Multi-tasking capabilities : The Jetson Orin features support for multiple operating systems, as well as a wide range of AI frameworks and libraries. This makes it easy for developers to build and deploy multi-tasking and multi-modal edge AI applications. It comes with the Nvidia AI software stack, including Nvidia Isaac for Robotics, Deepstream for Vision AI and Riva for conversational AI. The new Orin series comes with an upgraded version of Jetpack (version 5.0), as well as with an powerfull development kit that can emulate all Jetson version.
Overall, the Nvidia Jetson Orin processors have made the world of embedded AI take a large step forward. They offer an unprecedented level of performance & efficiency, for the same price, making them well-suited to a wide range of edge AI applications. As an Nvidia ecosystem partner, we can help our customers in re-thinking solutions with more features, better accuracy & reliability, working on bigger & more complex projects on the edge of the network.
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