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NVIDIA Jetson Orin Nano Module
NVIDIA | A-000000-08168
€390.00
20 perc. French VAT inc.
The NVIDIA Jetson Orin Nano is an embedded computing platform designed for edge artificial intelligence (Edge AI) applications.
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NVIDIA Jetson Orin Nano – Embedded AI Module (4 GB / 8 GB)
Key features
- Compact module in Jetson Nano / Orin NX format, easy to integrate into compact embedded systems
- NVIDIA Ampere GPU with Tensor Cores for running edge AI models
- 6-core Arm Cortex-A78AE CPU up to 1.5 GHz
- Up to 67 TOPS of AI performance depending on the version
- LPDDR5 memory with high bandwidth for intensive workloads
- NVMe storage support via PCIe
- Compatible with the NVIDIA software ecosystem: JetPack, Isaac, Metropolis, Holoscan, TAO Toolkit, Omniverse Replicator
- Pin-compatible with Jetson Orin NX for scalable designs
Applications
The NVIDIA Jetson Orin Nano is intended for applications requiring advanced AI computing capabilities in a small footprint. It is particularly suitable for:
- autonomous robotics
- smart cameras and embedded vision
- video analytics and retail analytics
- automated inspection and industrial QA
- drones and compact mobile systems
- edge generative AI embedded systems
Jetson Orin Nano version comparison
The Jetson Orin Nano family is available in two complementary versions. The 4 GB version is intended for more memory- and budget-efficient integrations, while the 8 GB version is better suited to heavier AI workloads, concurrent pipelines, and more demanding models.
| Module | GPU | CPU | AI Performance | Memory | Power Consumption |
|---|---|---|---|---|---|
| Jetson Orin Nano 4 GB | Ampere – 512 CUDA + 16 Tensor Cores | 6-core Arm Cortex-A78AE | 34 TOPS | 4 GB LPDDR5 | 7 – 25 W |
| Jetson Orin Nano 8 GB | Ampere – 1024 CUDA + 32 Tensor Cores | 6-core Arm Cortex-A78AE | 67 TOPS | 8 GB LPDDR5 | 7 – 25 W |
A high-performance platform for Edge AI
The Jetson Orin Nano is a particularly attractive solution for integrating embedded AI into compact products. Thanks to the NVIDIA JetPack software stack and its associated ecosystem, it enables faster development of robotics, computer vision, video analytics, and advanced sensor processing applications.
Technical specifications of the NVIDIA Jetson Orin Nano board
- GPU architecture: NVIDIA Ampere
- GPU:
- 4 GB version: 512 CUDA cores + 16 Tensor Cores
- 8 GB version: 1024 CUDA cores + 32 Tensor Cores
- CPU: 6-core Arm Cortex-A78AE v8.2 64-bit
- CPU cache: 1.5 MB L2 + 4 MB L3
- Max CPU frequency: up to 1.5 GHz
- Max GPU frequency: up to 625 MHz
- AI performance:
- 4 GB version: up to 34 TOPS
- 8 GB version: up to 67 TOPS
- Memory:
- 4 GB version: 4 GB LPDDR5, 64-bit bus, 34 GB/s
- 8 GB version: 8 GB LPDDR5, 128-bit bus, 68 GB/s
- Storage: external NVMe storage support
- Cameras:
- up to 4 cameras (or 8 via virtual channels)
- 8 MIPI CSI-2 lanes
- D-PHY 2.1 up to 20 Gbps
- Video encoding: 1080p30, supported by 1 to 2 CPU cores
- Video decoding:
- 1 x 4K60 (H.265)
- 2 x 4K30 (H.265)
- 5 x 1080p60 (H.265)
- 11 x 1080p30 (H.265)
- PCI Express: 1 x4 + 3 x1, PCIe Gen3, Root Port and Endpoint
- USB:
- 3 x USB 3.2 Gen2 (10 Gbps)
- 3 x USB 2.0
- Network: 1 x Gigabit Ethernet
- Display: 1 x 4K30 multi-mode DP 1.2 (+MST) / eDP 1.4 / HDMI 1.4
- Interfaces: 3 x UART, 2 x SPI, 2 x I2S, 4 x I2C, 1 x CAN, DMIC & DSPK, PWM, GPIOs
- Power consumption: 7 W to 25 W depending on the power mode
- Mechanical compatibility: 69.6 x 45 mm, 260-pin SO-DIMM connector
- Compatibility: pin-compatible with Jetson Orin NX
Resources for the Unitree H2 humanoid robot
The NVIDIA Jetson Orin Nano is an embedded computing platform designed for edge artificial intelligence (Edge AI) applications.