Attributes

Brand	-
Category	Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards
Origin	-
Processor	NVIDIA Orin Nano 8GB / 4GB Super
AI Performance	Up to 40 TOPS (INT8)
GPU Architecture	NVIDIA Ampere with 1024 CUDA Cores
CPU	6-core Arm Cortex-A78AE v8.2 64-bit
Memory	8GB or 4GB 128-bit LPDDR5
Storage Interface	M.2 Key M for NVMe SSD (PCIe Gen4 x4)
Connectivity	Gigabit Ethernet, Wi-Fi 6E Ready, Bluetooth 5.2
Camera Support	Up to 2x MIPI CSI-2 cameras (4 lanes each)
Power Input	DC Jack (19V) or USB-C PD
OS Support	NVIDIA JetPack SDK (Linux based)

6 reviews

Anonymous

Mar 30, 2026

Rating: 5/5

Industry Standard for a Reason

We deployed this for an industrial inspection system. The stability and the extensive library support in the NVIDIA ecosystem make development incredibly fast. Highly recommended for professionals.

Anonymous

Mar 22, 2026

Rating: 4/5

Solid hardware, steep learning curve for beginners

The hardware is fantastic, but if you are new to Linux or embedded systems, be prepared to spend time reading documentation. Once configured, it performs flawlessly.

Anonymous

Mar 21, 2026

Rating: 5/5

Best value for high-end edge computing

Compared to other boards in this class, the price-to-performance ratio is unbeatable. The ability to handle large vision models locally is a game changer for our privacy-focused application.

Anonymous

Mar 16, 2026

Rating: 4/5

Great board, runs hot under load

Excellent processing power for computer vision tasks. My only concern is thermal management; it gets quite warm during sustained inference, so a good active cooling solution is mandatory.

Anonymous

Mar 10, 2026

Rating: 5/5

Perfect for Edge AI Prototyping

The Orin Nano Super kit is a massive upgrade from the Xavier NX. The 40 TOPS performance allows me to run complex YOLO models in real-time without breaking a sweat. Setup with JetPack was seamless.

Anonymous

Mar 09, 2026

Rating: 5/5

Future-proofed my drone project

Using this for autonomous navigation on a custom drone. The low latency and high throughput of the MIPI interfaces are exactly what I needed. The included resources for AI models were a nice bonus.

5 FAQ

Q: Is Windows supported on the Jetson Orin Nano?

A: No, the Jetson Orin Nano architecture is ARM-based and officially supports Linux (Ubuntu) via the NVIDIA JetPack SDK. Windows is not supported.

Q: What is the maximum storage capacity supported via M.2?

A: The M.2 Key M slot supports NVMe SSDs up to 2TB, provided the physical dimensions (e.g., 2280) fit within your carrier board enclosure.

Q: How do I access the free AI large model resources mentioned?

A: You can access the resources by registering on the NVIDIA NGC catalog and downloading the pre-trained models and containers optimized for Jetson platforms.

Q: Can I use a standard Raspberry Pi camera with this board?

A: No, this board uses MIPI CSI-2 interfaces which are not directly compatible with standard Raspberry Pi cameras without specific adapters. We recommend using NVIDIA-certified camera modules.

Q: Does this kit come with a heatsink and fan?

A: Yes, the Official Developer Kit includes an active cooling solution (heatsink and fan) pre-installed to ensure optimal thermal performance.

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