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CSR2-N72R3588S
CSA1-N8S1684X
EC-R3576PC FD
EC-R3588RT 2G5
AIBOX-OrinNano
iHC-3568JGW
IPC-M10R800-A3399C V2
iCore-3576Q
iCore-3562JQ
Core-1688JD4
AIO-3576JD4
ROC-RK3576-PC
CT36L/CT36B
NVIDIA Jetson OrinNX edge computing module (16GB version) features an octa-core ARM CPU and a 1024-core NVIDIA
Ampere architecture GPU
with 32 Tensor Cores. It is capable of running multiple concurrent AI application pipelines, providing powerful
inference performance.
AIBOX-OrinNX delivers up to 100 TOPS of computing power and provides a 128GB PCIe NVMe SSD. The JETSON system,
based on Ubuntu 22.04,
offers a comprehensive desktop Linux environment with accelerated graphics and supports libraries such as NVIDIA
CUDA, TensorRT, and CuDNN.
(Support for the above content varies across different versions of the JetPack SDK. For detailed information,
please refer to the NVIDIA official website.)
NVIDIA Jetson Orin offers unparalleled AI compute, large unified memory, and comprehensive software stacks,
delivering
superior energy efficiency to drive the latest generative AI applications. It’s capable of fast inference for any
generative AI models powered by the transformer architecture, providing superior edge performance on MLPerf.
Democratize edge AI and robotics development with the world's most comprehensive AI software stack and ecosystem,
powered by generative AI at
the edge and the NVIDIA Metropolis and Isaac™ platforms. NVIDIA JetPack™, Isaac ROS, and reference AI workflows
enable seamless integration
of cutting-edge technologies into your products, eliminating the need for costly internal AI resources. Experience
end-to-end acceleration for AI
applications and speed your time to market using the same powerful technologies that drive data centers and cloud
deployments.
AIBOX-OrinNX supports up to 1×8K30 (H.265), 2×4K60 (H.265), 4×4K30 (H.265), 9×1080p60 (H.265), and
18×1080p30 (H.265) video decoding, meeting the diverse demands for AI application scenarios.求
The AI box features an industrial-grade all-metal enclosure with an aluminum alloy structure for thermal
conduction. The side of the top cover
features a grille design for external airflow and efficient heat dissipation, ensuring computing performance and
stability
even under high-temperature
operating conditions.Its top cover is a porous hexagonal design, combining elegance with high efficiency. The
compact, exquisite device operates
stably and meets the needs of various industrial-grade applications.
AIBOX-OrinNano is widely used in intelligent surveillance, AI education, services based on computing
power, edge computing, private deployment of large models, data security, and privacy protection.
AIBOX-OrinNX ( 16 GB ) | AIBOX-OrinNano ( 8 GB ) | ||
Basic Specifications | Module |
NVIDIA Jetson OrinNX (16GB) module |
NVIDIA Jetson OrinNano (8GB) module |
CPU |
Octa-core 64-bit Arm Cortex-A78AE v8.2 processor, up to 2.0GHz |
Hexa-core 64-bit ARM Cortex-A78AE v8.2 processor, up to 1.5GHz |
|
AI Performance |
100 TOPS |
40 TOPS |
|
GPU |
1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores |
||
Video Encoding |
H.265:1x4K60、3x4K30、6x1080p60、12x1080p30 |
H.265:1080p30 |
|
Video Decoding |
H.265:1x8K30、2x4K60、4x4K30、 9x1080p60、18x1080p30 |
H.265:1*4K60、2*4K30、5*1080p60、11*1080p30 |
|
Memory |
16GB LPDDR5 |
8GB LPDDR5 |
|
Storage Expansion |
128GB PCIe NVMe SSD (installed inside the device) |
||
Power |
DC 12V(DC 5.5 * 2.1mm) |
||
Power Consumption |
Normal: 7.2W (12V/600mA) Max: 33.6W (12V/2800mA) |
Normal: 7.2W (12V/600mA) Max: 18W (12V/1500mA) |
|
Size |
93.4mm * 93.4mm * 50mm |
||
Weight |
≈ 500g |
||
Environment |
Operating temperature: -20℃~60℃,Storage temperature: -20℃~70℃, Storage Humidity: 10%~90%RH (non-condensing) |
||
Software Support | OS |
The Jetson system, based on Ubuntu 22.04, offers a comprehensive desktop Linux environment with accelerated graphics, supporting libraries such as NVIDIA CUDA, TensorRT, and CuDNN. |
|
Large Models |
Robotic models: ROS models Large language models: The private deployment of ultra-large-scale parameter models under the Transformer architecture, such as LLaMa2, ChatGLM, and Qwen. Vision models: ViT, Grounding DINO, and SAM. AI painting: Stable Diffusion V1.5 image generation model in the AIGC field. |
||
Traditional Network Architectures |
Traditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks include TensorFlow, PyTorch, MXNet, PaddlePaddle, ONNX, and Darknet; custom operator development. Docker container management technology facilitates easy image deployment. |
||
AI Software Stack |
NVIDIA Jetson Orin offers unparalleled AI compute, large unified memory, and comprehensive software stacks, delivering superior energy efficiency to drive the latest generative AI applications. It’s capable of fast inference for any generative AI models powered by the transformer architecture, providing superior edge performance on MLPerf. |
||
Interfaces | Ethernet |
1×Gigabit Ethernet (1000Mbps / RJ45) |
|
Video Output |
1×HDMI 2.1 (4K@60fps) |
||
USB |
2×USB 3.0 (Max: 1A) |
||
Watchdog |
Support external watchdog |
||
Other |
1×Type-C (USB 2.0 OTG), 1×Console (debug serial port), 1× Recovery, 1× power button |
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