NVIDIA Jetson Orin NANO SUPER Developer Kit (SUB/Official) 4GB/8GB RAM 34/67 TOPS for AI & ROS
NVIDIA Jetson Orin NANO SUPER Developer Kit (SUB/Official) 4GB/8GB RAM 34/67 TOPS for AI & ROS
Yahboom
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Overview
The Jetson Orin NANO SUPER Developer Kit is a Developer Kit built around an NVIDIA Jetson Orin Nano core module and a Jetson Orin Nano carrier board. 4GB and 8GB RAM versions are available, delivering 34 TOPS (Orin Nano SUPER 4GB) or 67 TOPS (Orin Nano SUPER 8GB) AI computing power. The Yahboom carrier board matches the official NVIDIA carrier board in performance, onboard resources, size, and interface layout.
This kit is supplied with a system-ready storage setup (256GB M.2 SSD with a pre-written system image), plus a wireless network card and antennas, and a power adapter.
Key Features
- Two memory options: 4GB / 8GB RAM.
- AI computing power: 34 TOPS (Orin Nano SUPER 4GB) / 67 TOPS (Orin Nano SUPER 8GB).
- Carrier board compatibility: Yahboom carrier board is compatible with the NVIDIA Jetson Orin Nano core module; stable power supply.
- Power modes (SUPER): maximum power mode supports up to 25W (compared with up to 15W before upgrade).
- Supports PoE power supply (as indicated in kit feature highlights).
- Pre-installed system storage: 256GB M.2 SSD with a pre-written system image.
- Wireless included: dual-band wireless network card supports BT 5.0 and dual-band Wi-Fi; includes dual 3dB high-gain antennas; transmission speeds up to 867Mbps.
- Tutorial resources provided for ROS and AI vision; system images provided.
Specifications
Jetson Orin Nano SUPER Variant Specs (from provided comparison chart)
| Parameter | Orin Nano SUPER 4GB | Orin Nano SUPER 8GB |
|---|---|---|
| GPU architecture | NVIDIA Ampere architecture | NVIDIA Ampere architecture |
| CUDA / Tensor cores | 512 CUDA Cores / 16 Tensor Cores | 1,024 CUDA Cores / 32 Tensor Cores |
| GPU maximum frequency | 1020 MHz | 1020 MHz |
| AI computing power | 34 TOPS (Sparse), 17 TOPS (Dense) | 67 TOPS (Sparse), 33 TOPS (Dense) |
| CPU | 6-core Arm Cortex-A78AE v8.2 64-bit CPU | |
| CPU maximum frequency | 1.7 GHz | 1.7 GHz |
| SPEC int rate | 118 | 118 |
| RAM | 4GB 64-bit LPDDR5 (51 GB/s) | 8GB 128-bit LPDDR5 (102 GB/s) |
| Power | 7W / 10W / 25W | 7W / 15W / 25W |
| Storage | SD card or external NVMe | |
| Camera interface | 2-channel CSI interface (22pin, 0.5mm pitch) | |
| Video output interface | DP interface | |
| Data transmission interface | Type-C interface | |
| M.2 Key interface | M.2 Key E + M.2 Key M*2 | |
Performance Upgrade Notes (as stated in provided materials)
- Computing performance increased by about 70%.
- CPU frequency increased by 13%.
- Memory bandwidth increased by 50%.
Tutorials & System Image
- System image is written to the SSD before shipment.
- Because the Jetson Orin NANO core module does not have eMMC storage, an NVMe drive is required for operation; SSD is recommended for a faster and smoother experience.
- Materials are marked as “Original materials & Continuously updated” (updated in June 2026).
- Free system image is indicated for the YOLO26 development environment (YOLO26).
- Course counts shown: Jetson Orin Nano basic usage guide (total 30 courses), Jetson Orin Nano ROS development course (total 57 courses), Jetson Orin Nano AI vision advanced development course (total 14 courses).
What's Included
- NVIDIA Jetson Orin Nano core module + Jetson Orin Nano carrier board (Developer Kit).
- 256GB M.2 SSD with system image pre-written.
- Wireless network card and antennas (dual-band Wi-Fi + BT 5.0; dual 3dB high-gain antennas; up to 867Mbps).
- Power adapter.
Options
- Optional without SSD kit: user provides an SSD with capacity of 256GB or higher.
- SSD interface support stated: M.2 Key M and M.2 Key B+M solid-state storage devices; 2280 size is recommended.
- “No SSD Kit” is indicated to include an SSD flashing enclosure for writing the provided system image to a user-supplied SSD, plus flashing tutorials.
- Wireless card note shown: the Jetson Orin Nano SUPER 8GB official kit comes with an M.2 network card; only an external antenna is provided.
Applications
- AI vision development, ROS learning and development, and edge computing projects.
- Offline and online AI large model development materials are indicated as available in the provided resources.
For selection guidance (4GB vs 8GB, SSD vs no-SSD option) and after-sales support, contact https://rcdrone.top/ or email support@rcdrone.top.
Details
Use Jetson-powered compute to build mobile robots, quadrupeds, and vision-enabled automation projects.
Choose 4GB or 8GB RAM and get a system-ready kit with onboard I/O, cooling, and included accessories for fast bring-up.
Tutorial resources and example code help you start quickly with AI vision, large-model demos, and ROS development workflows.
The SUPER upgrade increases available compute and supports higher power modes for heavier AI workloads.
Higher maximum power mode (up to 25W) unlocks additional performance headroom when your application needs it.
A pre-imaged 256GB NVMe SSD plus Wi‑Fi/BT hardware reduces setup time so you can boot and start developing sooner.
If you already have an NVMe drive, the no-SSD option supports flashing with the provided enclosure and system image downloads.
Downloadable course folders organize examples by topic—from basic setup to ROS2 and computer vision pipelines.
Sample applications cover multimodal AI tasks like visual Q&A, image generation, and localization on edge hardware.
Isaac ROS tutorial content supports common robotics perception stacks such as depth, mapping, detection, and pose estimation.
An optional M.2 SSD enclosure can be used to write the system image file to the SSD for DIY setup.
The included AI learning materials cover multimodal LLM demos using DeepSeek-R1, Qwen, Meta, and LLaVA for semantic understanding and visual recognition.
Jetson Orin Nano SUPER benchmark results summarize relative performance gains across popular LLMs, vision transformers, and VLMs after an upgrade versus the base configuration.
Optional acrylic or aluminum alloy mini cases add a power/reset button, cooling fan, RGB light bar, and an OLED display for a tidy Jetson Orin Nano SUPER setup.
Jetson Orin Nano developer kit supports two 22‑pin CSI cameras and can be paired with voice and OpenCV expansion modules for prototyping.
The Jetson Orin Nano SUPER Developer Kit provides a compact connector layout with USB-C, dual USB 3.0, RJ45 Ethernet, DisplayPort, 40-pin GPIO, and a 22-pin camera interface.
The Jetson Orin Nano SUPER developer kit layout includes HDMI, Ethernet, USB, CSI camera connector, 40-pin header, and power interfaces for straightforward integration.
The Jetson system image is based on Ubuntu 22.04 and supports NVIDIA CUDA 12.6, TensorRT 10.7, cuDNN 9.6.0, and OpenCV 4.10.0.
The Jetson full series comparison lists key differences across Jetson modules, including Orin Nano Super 4GB (34 TOPS) and 8GB (67 TOPS) options.
Jetson Orin Nano and Orin NX specifications outline supported cameras, PCIe lanes, USB options, display outputs, and power ranges for system planning.
Jetson Orin Nano SUPER kits typically include the developer board, power adapter, antennas, and a wireless network card, with an SSD kit option shown.
Jetson Orin Nano SUPER kits include the developer board with power adapter, antennas, Wi‑Fi card, 256GB SSD, DP‑to‑HDMI and USB‑C cables, an acrylic case, and an optional IMX219 camera module.
Jetson Orin Nano SUPER kits include the developer board plus essentials like a power adapter, antennas, wireless card, 256GB SSD, cables, and an IMX219 camera, with an optional OpenClaw extension set.
Jetson Orin Nano SUPER developer kit bundles are shown with common add-ons like a power adapter, antennas, 256G SSD, display cable, camera, and case options.
