Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | NVIDIA Ampere architecture GPU with 6-core Arm Cortex-A78AE CPU |
| AI Performance | Up to 40 TOPS (Trillions of Operations Per Second) |
| Memory | 8GB 128-bit LPDDR5 |
| Storage Interface | M.2 Key M slot for NVMe SSD (drive not included) |
| Connectivity | Gigabit Ethernet, Wi-Fi 6E ready via M.2 Key E |
| Camera Support | Up to 2x MIPI CSI-2 camera interfaces |
| Display Output | 1x HDMI 2.1, 1x DisplayPort 1.4 |
| Expansion | GPIO, I2C, SPI, UART, CAN, and I2S headers |
| Power Supply | USB Type-C (19V/3.42A adapter included) |
| OS Support | NVIDIA JetPack SDK (Linux based) with ROS/ROS2 support |
Anonymous
Mar 26, 2026
Rating: 5/5
Compact powerhouse
Using this for an autonomous drone project. The size-to-performance ratio is unbeatable. The GPIO headers made integrating custom sensors simple. Battery life is decent considering the compute power available.
Anonymous
Mar 24, 2026
Rating: 5/5
Excellent value for edge AI
We deployed this board for a smart warehouse prototype. The inference speed on YOLOv8 is impressive, and the thermal management is much better than expected under continuous load. Highly recommended for industrial prototyping.
Anonymous
Mar 13, 2026
Rating: 5/5
Perfect upgrade for robotics projects
The Orin Nano Super is a massive leap forward from the Xavier NX. The 40 TOPS performance handles my SLAM algorithms and object detection models with ease. Setup with JetPack was straightforward, and the included documentation for ROS integration saved me days of work.
Anonymous
Mar 07, 2026
Rating: 5/5
Solid industrial choice
Replaced our older setup with three of these units. The consistency in performance and the robust SDK support make it ideal for small-scale industrial control applications. The M.2 slot allows for fast data logging which is critical for us.
Anonymous
Mar 06, 2026
Rating: 4/5
Fast but runs warm
Performance is exactly as advertised. My only concern is that it gets quite warm during heavy training sessions, so ensure you have good airflow or an active cooling solution if you push it to the limit. Otherwise, a great kit.
Anonymous
Mar 06, 2026
Rating: 4/5
Great board, steep learning curve
Hardware is fantastic and very powerful. However, if you are new to Linux or embedded systems, be prepared to spend time reading the wiki. Once configured, it runs computer vision tasks smoothly. Would give 5 stars if the starter guide was more beginner-friendly.
Q: What is the maximum storage capacity supported via the M.2 slot?
A: The M.2 Key M slot supports standard NVMe SSDs. While the hardware can address large drives, we have successfully tested capacities up to 2TB. Ensure the SSD dimensions fit within your enclosure constraints.
Q: Does this kit come with a heatsink or fan?
A: Yes, the official kit includes an active cooling fan and a pre-installed heatsink designed specifically for the Orin Nano Super module to ensure optimal thermal performance.
Q: Does the 40 TOPS performance require any additional configuration?
A: The 40 TOPS represents the maximum theoretical AI performance. To achieve this, you must use optimized models via TensorRT and ensure your power mode is set to 'MAXN' in the system settings. Default modes may prioritize energy efficiency over peak performance.
Q: Can I run Windows on this development board?
A: The NVIDIA Jetson Orin Nano Super is optimized for Linux (Ubuntu) via the JetPack SDK. It does not natively support Windows OS. All AI and ROS resources are provided for the Linux environment.
Q: Is this compatible with Raspberry Pi cameras?
A: No, this board uses MIPI CSI-2 interfaces which are not directly compatible with standard Raspberry Pi camera modules without specific adapters. We recommend using cameras listed in the Jetson ecosystem compatibility guide.
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