In recent years, artificial intelligence workloads have gradually migrated from the cloud to edge devices to meet the demands of real-time processing, data privacy, and bandwidth efficiency. NVIDIA’s Jetson Orin Nano Super development kit has emerged at the right time, becoming a new choice for edge AI developers with its affordable price of $249 and powerful performance.
This palm-sized device claims to deliver “supercomputer” performance, attracting widespread attention from commercial AI developers, enthusiasts, and students.
01 Powerful Performance, Compact Form Factor
The Jetson Orin Nano Super packs impressive hardware specifications into a compact form factor measuring just 103×90.5×34.77 millimeters.
This development kit is equipped with a 1024-core NVIDIA Ampere architecture GPU, featuring 32 Tensor Cores, and a 6-core Arm Cortex-A78AE v8.2 64-bit CPU.
In terms of AI performance, the Jetson Orin Nano Super can deliver up to 67 INT8 TOPS of computing power, a 70% improvement over the previous generation.
Memory bandwidth has also significantly increased by 50%, reaching high-speed levels of 102GB/s, coupled with 8GB LPDDR5 memory, providing ample data throughput for edge AI tasks.
The device supports configurable power modes from 7W to 25W, allowing users to flexibly balance performance and energy consumption according to application scenarios.
02 Ideal Platform for Robotics Development
In the field of robotics, the Jetson Orin Nano Super demonstrates its unique value. It can create complex control systems for robotic arms, implementing computer vision and AI-driven motion planning.
Developers can use this kit to prototype AI modules for robotic platforms similar to Boston Dynamics Spot, performing tasks such as object recognition, navigation, and environmental mapping.
Generative AI performance is 1.7 times better than the previous generation, making it particularly suitable for implementing large language models and visual AI agents in robotic systems.
For robotics developers, the Jetson Orin Nano Super supports the NVIDIA Isaac robotics platform, providing a complete toolchain from perception to control.
03 Smart City and Industrial Applications
In the field of industrial automation, the powerful performance of the Jetson Orin Nano Super finds full application. Advantech’s EPC-R7300 Orin Nano Super edge computing system is an industrial-grade solution built based on this module.
This system features a fanless design and can operate stably in wide temperature environments from -20°C to 60°C, supporting 9~36V wide voltage input and 3.0 Grms vibration resistance, adapting to harsh industrial environments.
For smart city applications, the device can process multiple video streams simultaneously, enabling real-time object detection, tracking, and analysis.
In intelligent traffic management, the system can optimize traffic flow by analyzing camera data, detect accidents, and even automatically identify traffic violations.
04 Innovative Practices in Edge AI
Autonomous driving technology development is another important application area for the Jetson Orin Nano Super. Developers can quickly create autonomous driving algorithms, obstacle detection systems, and traffic sign recognition prototypes.
Its multi-camera input capability and powerful neural network processing performance make it an ideal choice for creating miniature autonomous driving test environments.
In natural language processing, some developers have innovatively run the DeepSeek R1 model with up to 70 billion parameters on the Jetson Orin Nano Super.
By using the Aero LLM project to sequentially load model layers into memory on demand, developers successfully broke through the device’s VRAM limitations, proving the feasibility of running超大 models on edge devices.
Wildlife conservation is another interesting application scenario. Jetson Orin Nano Super solutions with large-capacity storage can monitor wildlife populations in remote environments over the long term, with power consumption of only 15W.
Combined with backup batteries and small solar panels, such installations can operate autonomously for extended periods, making them ideal for sensitive environments like nature reserves.
05 Actual Performance Performance
In practical AI task testing, the Jetson Orin Nano Super running the YOLOv5s model took only about 20 milliseconds to infer a 640×640 pixel image, equivalent to processing about 50 frames per second, fully meeting the requirements for real-time object detection.
Compared with common embedded devices, the Jetson Orin Nano Super shows overwhelming advantages in AI inference.
On 640×480 resolution images, the Jetson Orin Nano Super took only 0.03 seconds to perform YOLOv5 inference, while the Raspberry Pi 5 required 0.2 seconds, and the Raspberry Pi 4B needed 0.8 seconds.
As resolution increases, this gap widens further – on 1920×1080 full HD images, the Jetson Orin Nano Super can still complete inference within 0.15 seconds, while the Raspberry Pi 5 requires about 1 second, and the Raspberry Pi 4B even exceeds 4 seconds.
The Jetson Orin Nano Super simultaneously supports NVIDIA’s complete software stack, including NVIDIA Isaac for robotics, NVIDIA Metropolis for visual AI, and NVIDIA Holoscan for processing sensor data.
Developers can also use NVIDIA Omniverse Replicator to generate synthetic data, and the NVIDIA TAO Toolkit to fine-tune pre-trained AI models from the NGC catalog, significantly reducing development time.
06 Ecosystem and Partnership Support
NVIDIA’s Jetson ecosystem partners provide additional AI and system software, developer tools, and proprietary software for the Jetson Orin Nano Super.
Partners also provide cameras, sensors, carrier boards, and design services for product solutions, offering comprehensive support for Jetson Orin Nano Super applications.
Industrial solution providers like Twowin technology integrate the Jetson Orin Nano Super module into more rugged industrial-grade hardware, enabling enterprise customers to deploy AI solutions in harsh environments.
These partnerships significantly lower the barrier for enterprises to adopt edge AI technology, accelerating the implementation of AI technology in traditional industries.
Jetson Orin Nano Super has proven its value in multiple scenarios including robotics, smart cities, industrial automation, and edge inference through its 67 TOPS AI computing power, rich interfaces, and 7-25W configurable power consumption.
For enterprises and developers seeking high-performance edge AI solutions, visit the TWOWIN Technology for more product details and purchasing information.
Whether for prototype development or actual deployment, this device can provide powerful AI support, helping projects move quickly from concept to reality.
