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Build intelligent applications with the NVIDIA Jetson Orin Nano Super Developer Kit, a powerful and compact edge AI development board designed for AI developers, robotics engineers, researchers, students, and electronics enthusiasts. Featuring an 8GB LPDDR5 memory module, an NVIDIA Ampere GPU, and up to 67 INT8 TOPS of AI performance, this developer kit brings accelerated AI computing directly to your device.
Whether you are developing generative AI applications, computer vision systems, autonomous robots, smart cameras, or embedded AI solutions, the Jetson Orin Nano Super provides a flexible platform for experimentation, prototyping, and learning with NVIDIA’s AI software ecosystem.
Available through Electronics Hub, this NVIDIA Jetson Orin Nano Super Developer Kit in Pakistan is suitable for developers looking to explore practical AI computing at the edge.
Up to 67 INT8 TOPS AI Performance: Accelerate supported AI inference workloads with the enhanced Super configuration.
NVIDIA Ampere GPU: Features 1,024 CUDA cores and 32 Tensor Cores for parallel computing, deep learning, and computer vision.
6-Core Arm Cortex-A78AE CPU: Provides processing capability for application logic, sensor data, and AI workflows.
8GB LPDDR5 Memory: Includes 128-bit LPDDR5 memory with up to 102 GB/s bandwidth.
Flexible Power Modes: Configurable operation from 7W to 25W, depending on the selected power mode and software configuration.
Camera Connectivity: Two 22-pin MIPI CSI-2 camera connectors support compatible camera-based vision projects.
High-Speed USB Connectivity: Four USB 3.2 Gen 2 Type-A ports and one USB Type-C port provide connections for supported peripherals and development workflows.
Expandable Storage: Supports microSD storage and compatible NVMe SSDs through two M.2 Key M slots.
Display Output: DisplayPort 1.2 with MST support for compatible displays.
40-Pin Expansion Header: Provides GPIO, I2C, SPI, I2S, and UART interfaces for compatible sensors and electronic peripherals.
NVIDIA Software Ecosystem: Supports development with JetPack SDK, Jetson Linux, CUDA, and TensorRT.
Performance and interface availability depend on the software configuration, connected peripherals, and supported workload.
| Specification | Details |
|---|---|
| Product Type | Edge AI Developer Kit |
| AI Performance | Up to 67 INT8 TOPS |
| GPU Architecture | NVIDIA Ampere |
| CUDA Cores | 1,024 |
| Tensor Cores | 32 |
| CPU | 6-Core Arm Cortex-A78AE v8.2 64-bit |
| Maximum CPU Frequency | Up to 1.7 GHz |
| Memory | 8GB 128-bit LPDDR5 |
| Memory Bandwidth | Up to 102 GB/s |
| Power Modes | 7W–25W |
| Storage | microSD and compatible external NVMe SSD |
| M.2 Expansion | 2 × M.2 Key M; 1 × M.2 Key E |
| USB | 4 × USB 3.2 Gen 2 Type-A; 1 × USB Type-C |
| Networking | Gigabit Ethernet |
| Wireless Connectivity | Wi-Fi/Bluetooth module; verify included configuration |
| Display | 1 × DisplayPort 1.2 with MST |
| Camera Interfaces | 2 × MIPI CSI-2 22-pin connectors |
| Expansion Header | 40-pin header with GPIO, I2C, SPI, I2S, and UART |
| Software Platform | NVIDIA JetPack SDK and Jetson Linux |
| Supported Workloads | Generative AI, robotics, computer vision, and edge inference |
Experiment with compatible large language models (LLMs), vision-language models (VLMs), and vision transformers (ViTs). Run supported inference workloads locally to explore AI assistants and multimodal applications without sending every inference request to a cloud service.
Develop real-time object detection, image classification, visual inspection, people detection, and other camera-based AI applications using compatible cameras and supported software.
Use the platform to prototype intelligent robots, autonomous rovers, sensor-driven systems, and robotic navigation applications. Integrate compatible sensors and peripherals through the available expansion interfaces.
Explore proof-of-concept solutions for industrial inspection, predictive monitoring, smart automation, and edge analytics. Test AI models close to the data source before moving toward a production design.
The kit provides a hands-on environment for students, educators, researchers, and developers learning GPU-accelerated computing, embedded Linux, AI inference, and robotics software.
The NVIDIA Jetson Orin Nano Super Developer Kit is designed for development within NVIDIA’s Jetson software ecosystem. JetPack provides the supported software platform, including Jetson Linux and tools for accelerated computing.
Depending on the software release and application requirements, developers can explore CUDA, TensorRT, compatible machine-learning frameworks, and supported robotics or computer-vision workflows.
To begin development:
Review NVIDIA’s official Jetson Orin Nano Super documentation.
Prepare a compatible microSD card or supported NVMe storage configuration.
Install or flash the appropriate JetPack software image.
Connect a compatible display, keyboard, network connection, and required peripherals.
Configure your development environment and test your selected AI application.
Check the official documentation for the latest software compatibility, setup requirements, and supported features.
Please confirm the exact stock configuration before publishing this list.
NVIDIA Jetson Orin Nano Super Developer Kit
Power supply and applicable power cable, if included with your supplied SKU
Quick-start or support documentation, where supplied
Important: A microSD card, NVMe SSD, camera, monitor, keyboard, and other development accessories should not be assumed to be included unless explicitly listed in the package contents.
The Jetson Orin Nano Super 8GB Developer Kit combines GPU-accelerated AI computing, versatile connectivity, expandable storage, and a well-established development ecosystem in a compact platform. It is designed for people who want to move beyond basic microcontroller projects and experiment with more demanding AI and computer-vision workloads.
For developers and makers in Pakistan, Electronics Hub provides a convenient place to explore development boards, electronic components, sensors, and related project hardware.
Looking for an NVIDIA Jetson Orin Nano Super Developer Kit in Pakistan? Contact Electronics Hub to confirm current availability, price, package contents, and compatible accessories before placing your order.
It is a compact edge AI computer for developing and testing generative AI, computer vision, robotics, and other supported AI applications.
TOPS means trillions of operations per second. The advertised figure represents up to 67 INT8 TOPS of AI performance under the applicable Super configuration; actual application performance varies by workload and software.
Yes. The Jetson Orin Nano Super configuration uses 8GB of 128-bit LPDDR5 memory.
Yes, it can run compatible AI inference workloads locally. Model size, speed, and memory requirements depend on the model and its software configuration.
Do not assume either is included. Confirm the supplied package contents before ordering.
You can check the product listing on Electronics Hub or contact the store to confirm current stock, pricing, and delivery options.
It can be suitable for learners with an interest in AI, Linux, programming, and electronics. Some initial software setup and familiarity with development tools may be required.