Contrast
| Feature | Jetson Orin NX | Jetson Orin Nano |
|---|---|---|
| Architecture | NVIDIA Ampere | NVIDIA Ampere |
| GPU | 1024 CUDA cores, 32 Tensor cores | 512 CUDA cores, 16 Tensor cores |
| CPU | 6 Arm Cortex-A78AE cores | 6 Arm Cortex-A78AE cores |
| AI Performance (INT8) | Up to 70 TOPS | Up to 40 TOPS |
| Memory | 8GB or 16GB LPDDR5 | 4GB or 8GB LPDDR5 |
| Memory Bandwidth | Up to 136.5 GB/s | Up to 68.2 GB/s |
| Power Modes | 10W, 15W, 20W | 5W, 7.5W, 15W |
| I/O Interfaces | 2x PCIe Gen4, 4x USB 3.2, Gigabit Ethernet, HDMI 2.0, | 1x PCIe Gen4, USB 3.2, Gigabit Ethernet, HDMI, |
| MIPI DSI, MIPI CSI, DisplayPort, SDIO | MIPI DSI, MIPI CSI, DisplayPort | |
| Target Applications | – Advanced Robotics | – Educational Projects |
| – Edge AI | – Hobbyist Projects | |
| – Industrial Automation | – Entry-Level IoT/Embedded Systems | |
| Cost | Higher (due to performance and features) | Lower (more affordable) |
| Development Ecosystem | Full JetPack SDK, AI frameworks, community support | Full JetPack SDK, AI frameworks, community support |
| Security Features | Hardware root of trust, secure boot, encryption | Basic security features like secure boot |
| Scalability | Higher scalability for performance and power | Designed for lower power applications |
Notes:
- TOPS: Trillions of operations per second, a measure of AI performance.
- I/O Interfaces: The Orin NX has more advanced and numerous I/O options compared to the Nano, reflecting its higher-end capabilities.
- Target Applications: While there is some overlap, the Orin NX is better suited for applications requiring more complex AI processing, whereas the Orin Nano is aimed at users looking for affordability and ease of use.
- Cost: The Orin NX, with its higher performance and capabilities, generally comes at a higher price point.
Architecture and Performance:
- Jetson Orin NX:
- GPU: NVIDIA Ampere architecture with 1024 CUDA cores and 32 Tensor cores.
- CPU: 6 Arm Cortex-A78AE cores.
- Performance: Up to 70 TOPS (trillions of operations per second) in INT8, significantly higher performance for AI tasks.
- Jetson Orin Nano:
- GPU: NVIDIA Ampere architecture with 512 CUDA cores and 16 Tensor cores.
- CPU: 6 Arm Cortex-A78AE cores (same as NX).
- Performance: Up to 40 TOPS in INT8, offering good performance but less than the NX.
Memory:
- Jetson Orin NX:
- Comes with options for 8GB or 16GB of LPDDR5 memory.
- Memory bandwidth up to 136.5 GB/s.
- Jetson Orin Nano:
- Available with either 4GB or 8GB of LPDDR5 memory.
- Memory bandwidth up to 68.2 GB/s.
Power Consumption:
- Jetson Orin NX:
- Scalable power modes from 10W to 20W, allowing for high performance in a power-constrained environment.
- Jetson Orin Nano:
- Designed for lower power consumption, with modes from 5W to 15W, suitable for battery-operated or power-sensitive applications.
I/O and Connectivity:
- Jetson Orin NX:
- Supports more advanced I/O with 2x PCIe Gen4, 4x USB 3.2, Gigabit Ethernet, HDMI 2.0, and multiple MIPI CSI camera inputs.
- Jetson Orin Nano:
- Offers similar I/O options but with fewer PCIe lanes (1x PCIe Gen4) and potentially fewer USB ports or lower USB versions, catering to simpler projects.
Target Applications:
- Jetson Orin NX:
- Advanced Robotics: Suitable for more complex robotic systems requiring high performance and real-time processing.
- Edge AI: Ideal for deploying sophisticated AI models at the edge with higher computational demands.
- Industrial Automation: Can handle more demanding tasks in smart factories or automation systems.
- Jetson Orin Nano:
- Educational Projects: Great for teaching AI, machine learning, and robotics due to its affordability and ease of use.
- Hobbyist Projects: Perfect for DIY AI projects where performance is not as critical.
- Entry-Level IoT and Embedded Systems: Suitable for small-scale IoT devices or smart home applications.
Cost:
- Jetson Orin NX: Generally more expensive due to its higher performance and additional features.
- Jetson Orin Nano: Priced to be more accessible, offering a balance between performance and cost-effectiveness.
Development Ecosystem:
- Both modules are supported by NVIDIA’s JetPack SDK, AI frameworks, and community resources, but:
- Jetson Orin NX: Might have more advanced development tools or libraries tailored for its higher performance capabilities.
- Jetson Orin Nano: Designed with beginners in mind, making AI development more approachable.
Summary:
- Jetson Orin NX is geared towards developers and industries requiring high performance for complex AI tasks, offering more memory, higher I/O capabilities, and better power scalability. It’s suitable for more demanding applications in robotics, edge AI, and industrial automation.
- Jetson Orin Nano focuses on accessibility, providing a cost-effective entry point into AI development, perfect for educational, hobbyist, or small-scale commercial applications where performance requirements are less stringent.
The choice between the two would depend on the specific needs of the project, balancing performance, cost, power consumption, and development complexity.