The Future of Edge Computing: Introducing the Jetson Nano Super.

 The NVIDIA Jetson Orin Nano Super Developer Kit is a compact, high-performance computing platform designed to bring generative AI capabilities to small edge devices. Priced at $249, it offers developers, students, and hobbyists an affordable solution for AI development.



Key Features:

  • AI Performance: Delivers up to 67 INT8 TOPS, providing a 1.7x improvement over its predecessor, enabling efficient execution of complex AI models.
  • GPU: Equipped with an NVIDIA Ampere architecture GPU featuring 1,024 CUDA cores and 32 Tensor cores, enhancing parallel processing capabilities.
  • CPU: Includes a 6-core Arm Cortex-A78AE v8.2 64-bit CPU, offering robust processing power for diverse applications.

  • Memory: Comes with 8GB of 128-bit LPDDR5 RAM, providing 102 GB/s memory bandwidth, facilitating swift data access and processing.

  • Storage: Supports SD card slot and external NVMe storage options, allowing flexible storage solutions for various project needs.

  • Power Efficiency: Operates within a power envelope of 7W to 25W, making it suitable for energy-conscious applications.

Applications:

The Jetson Orin Nano Super is ideal for:

  • Generative AI Models: Capable of running popular models like vision transformers, large language models, and vision-language models, making it suitable for advanced AI research and development.

  • Robotics: Its compact size and powerful performance make it suitable for AI-powered robotics, including autonomous navigation, object detection, and real-time sensor processing.

  • Edge Computing: Designed to bring generative AI to the edge, enabling applications in areas with limited connectivity or requiring real-time processing.

Availability:

The Jetson Orin Nano Super Developer Kit is available for purchase through NVIDIA's authorized distributors worldwide. Existing Jetson Orin Nano Developer Kit users can upgrade to the "Super" performance through a software update, ensuring accessibility to enhanced capabilities without additional hardware investments.

For a visual overview and more insights, you might find the following video helpful:



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