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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
Equipped with the NVIDIA Jetson OrinNX core board module (16GB RAM version), EC-OrinNX delivers up to 100 TOPS
of computing power,
making it capable of running all current AI models. It enables larger and more complex deep neural networks,
featuring object recognition,
target detection and tracking, speech recognition, and other visual development functions, meeting the demands
for a wider range of artificial
intelligence application scenarios.
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, delivering
enhanced AI performance.
EC-OrinNX delivers up to 100 TOPS of computing power, enabling it to run all current AI models, including
Transformer and ROS models. It supports
larger and more complex deep neural networks using frameworks such as TensorFlow, OpenCV, JetPack, MXNet, and
PyTorch. This computer
features object recognition, target detection and tracking, speech recognition, and other visual development
functions,
making it suitable for a wide range of AI application scenarios.
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.
EC-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.
The JETSON system, based on Ubuntu 22.04, offers a comprehensive desktop Linux environment with accelerated
graphics,
supporting libraries such as NVIDIA CUDA 11.4.19, TensorRT 8.5.2, and CuDNN 8.6.0.
With an industrial-grade aluminum alloy enclosure, this device boasts efficient fanless passive dissipation,
ensuring stable 24/7 operation to meet
various industrial application requirements. Designed for saving space, it supports wall-mounting for flexible
installation on walls or industrial
automation machinery.
A wide range of interface options includes Gigabit Ethernet (RJ45), HDMI 2.0, USB 3.0, RS485, RS232, CAN, Mini
PCIe (4G), M.2 (WiFi),
and M.2 (SSD). These interfaces facilitate the connection of peripheral devices, enabling different product
applications across various fields.
The computer is widely used in edge computing, robots,
local deployment of large models, smart
cities, smart healthcare, smart industry, and more.
EC-OrinNX(16GB) | EC-OrinNano(8GB) | ||
Basic Specifications | Module |
NVIDIA Jetson OrinNX (16GB) module |
NVIDIA Jetson OrinNano (8GB) module |
CPU |
Octa-core Arm® Cortex®-A78AE v8.2 64-bit CPU, 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 |
1 * M.2 (internal device, PCIe NVMe SSD expansion available, supporting 2242/2260/2280) |
||
Power |
DC 12V (5.5mm * 2.1mm, 9-24V wide input voltage) |
||
OS |
The Jetson system, based on Ubuntu 22.04, offers a comprehensive desktop Linux environment with accelerated graphics, supporting libraries such as NVIDIA CUDA 11.4.19, TensorRT 8.5.2, and CuDNN 8.6.0. |
||
Software Support |
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, ONNX, PaddlePaddle, and Darknet; custom operator development Docker containerization: Docker container management technology, facilitating easy image deployment. |
||
Dimension |
188mm * 88.44mm * 50.65mm |
||
Environment |
Operating temperature: -20℃~60℃ Operating humidity: 10%~90%RH (non-condensing) |
||
Interfaces | Network |
Ethernet: 1 * Gigabit Ethernet (RJ45) WiFi: WiFi 6 / BT 5.2 modules expansion available via the M.2 interface 4G: 4G LTE expansion available via the Mini PCIe |
|
Display |
1 * HDMI2.0(4K@60fps) |
||
Audio |
1 * 3.5mm audio jack, supporting MIC recording, CTIA standard |
||
USB |
2 * USB3.0 |
||
Other |
1 * Type-C (USB 2.0/DEBUG), 1 * SIM card, 1 * Phoenix connector (2*4Pin, 3.5mm pitch): 1 * RS485, 1 * RS232, 1 * CAN 2.0 |
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