Well documented and supported desktop-Class Generative AI at the Edge
The NVIDIA Jetson Orin™ Nano Super Developer Kit is a compact, yet immensely powerful computer that redefines generative AI for small edge devices. It delivers up to 67 TOPS of AI performance—a massive 1.7X improvement over its predecessor—to seamlessly run all kinds of modern generative AI models, including vision transformers, large language models (LLMs), vision-language models (VLMs), and more.

This kit provides developers, students, and makers with the most affordable and accessible platform to start building. Supported by the complete NVIDIA AI software stack and a broad AI ecosystem, it truly democratizes generative AI at the edge.
Software-Definable "Super" Performance: Existing Jetson Orin Nano Developer Kit users can experience this performance boost with just a software upgrade, unlocking new possibilities with generative AI on their current hardware.
Prototyping-Ready Hardware
The developer kit is built for flexibility and power. It comprises a Jetson Orin Nano 8GB module and a versatile reference carrier board designed to accelerate prototyping.
Jetson Orin Nano 8GB Module: Features a power-efficient Ampere architecture GPU and a 6-core ARM CPU, enabling multiple concurrent AI application pipelines and high-performance inference.Versatile Carrier Board: This board is your ideal platform for prototyping your next-gen edge AI product, as it can accommodate all Orin Nano and Orin NX modules. It also boasts a wide array of connectors, including two MIPI CSI connectors that support camera modules with up to 4 lanes, allowing for higher resolution and frame rates than ever before.
Accelerate Development with the NVIDIA AI Stack
Jetson runs the world-standard NVIDIA AI software stack, which includes powerful, use-case-specific application frameworks to save you significant development time:
NVIDIA Isaac™: For robotics and automation.NVIDIA Metropolis™: For vision AI and intelligent video analytics.NVIDIA Holoscan™: For real-time sensor processing.


You can further accelerate your workflow with NVIDIA Omniverse™ Replicator for synthetic data generation (SDG) and the NVIDIA TAO Toolkit to easily fine-tune pretrained AI models from the NGC™ catalog.

If you noticed that the “AE” suffix was up there, it refers to a special core architecture that can accomplish SIL 3 safety for essential industrial applications with unique smodes. It is interesting to note that Tegra's Orin series chips are reportedly the first to license this core – the Orin Nano is truly at the cutting edge of technology.

On board is 8GB of LPDDR5 RAM, shared by the CPU and GPU, offering an average memory bandwidth of 68GB/s.

To store the Nvidia OS Jetpack, AI models and generated data, I've equipped the Orin Nano Development Kit with a luscious 1Tb Kingston SSD drive (Kingston NV3 NVMe PCIe 4.0 internal SSD, with read/writing speeds up to 6000/5000 MB/s). Find it on Amazon, ca 100 euro.

The whole is packed inside a WaveShare aluminium enclosure (easily found on Amazon, ca 25 euro)

Features & Specs


Jetson Orin Nano Super 8GB Module
GPU: NVIDIA Ampere architecture with 1024 NVIDIA® CUDA® cores and 32 Tensor cores
CPU: 6-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3
Memory: 8GB 128-bit LPDDR5 68 GB/s
Storage: external via microSD slot external NVMe via M.2 KeyM
Power: 7W to 15W
Carrier Board
Camera: 2x MIPI CSI-2 22-pin Camera Connectors
M.2 Key M: x4 PCIe Gen 3
M.2 Key M: x2 PCIe Gen3
M.2 Key E: PCIe (x1), USB 2.0, UART, I2S, and I2C
USB:

Type A: 4x USB 3.2 Gen2
Type C: 1x for UFP

Networking: 1x Gbe Connector
Display: DisplayPort 1.2 (+MST)
microSD slot: UHS-1 cards up to SDR104 mode
Peripherals:

40-Pin Expansion Header (UART, SPI, I2S, I2C, GPIO)
12-pin button header
4-pin fan header
DC power jack
Dimensions 100 mm x 79 mmx 21 mm (Height includes feet, carrier board, module, and thermal solution)


The Nano Super development kit comes with the box. Happy to deliver in Belgium or the Netherlands.
Barely used - I'm a blockchain fan, the passion for AI remains limited.