EC-AGXOrin Jetson AGX Orin Egde Computer

EC-AGXOrin Jetson AGX Orin Egde Computer

$3,419.00

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EC-AGXOrin Egde Computers

Equipped with NVIDIA Jetson AGX Orin (64GB) module, it delivers up to 275 TOPS of computing power and supports various large AI models and deep learning frameworks. It enables 22-channel 1080P video decoding and 16-channel 1080P video encoding. Designed with an industrial-grade all-aluminum casing and dual cooling fans, it ensures stable 24/7 operation.

Equipped with Jetson AGX Orin

Equipped with NVIDIA Jetson AGX Orin (64GB) module, it features a 12-core CPU and a 2048-core GPU based on the NVIDIA Ampere architecture (with 64 Tensor Cores). Capable of running multiple concurrent AI application pipelines, it delivers high inference performance, providing robust computational power for edge AI computing, intelligent robotics, and other scenarios.

Private Deployment

It supports the private deployment of mainstream large AI models, including the ROS robot model; large language models under the Transformer architecture such as the Gemma series, ChatGLM series, Qwen series, and Phi series; large vision models like EfficientVIT, NanoOWL, NanoSAM, SAM, and TAM; as well as image generation models such as the Flux and Stable Diffusion series.

Deep Learning Frameworks

It supports Ollama framework for local deployment of large models, the ComfyUI workflow framework for AI image generation, and deep learning frameworks accelerated by cuDNN, including PaddlePaddle, PyTorch, TensorFlow, MATLAB, MxNet, and Keras. It also supports custom operator development and Docker containerization management technology.

AI Software Stack and Ecosystem

A full AI software stack and ecosystem, powered by edge generative AI and NVIDIA Metropolis and Isaac™, makes edge AI and robotics development accessible. With NVIDIA JetPack and Isaac ROS, accelerate AI applications end-to-end and integrate advanced technology without needing costly in-house experts.

LPDDR5 Memory

LPDDR5 offers larger memory capacity, higher bandwidth, faster data transfer rates, lower power consumption, and more advanced Error Correction Code (ECC) technology. Meets the memory space and response speed requirements for private deployment of large models.

Video AI Performance

Supports up to 22 channels of 1080P@30fps or 1 channel of 8K@30fps video decoding, and 16 channels of 1080P@30fps or 2 channels of 4K@60fps video encoding. This robust video processing capability meets the demands of various AI application scenarios.

Powerful Network Capabilities

Features one 10-gigabit Ethernet port, five Gigabit Ethernet ports, and a built-in GPS module. It also supports dual-band Wi-Fi 6, 5G, and 4G expansion, meeting diverse network connectivity requirements across various scenarios.

Rich Expansion Interfaces

Equipped with interfaces including GMSL2, HDMI, USB 3.0, RS485, RS232, CAN, Type-C, digital input, and digital output, facilitating seamless connectivity with various peripherals.

275 TOPS NPU Computing Power

The integrated Jetson AGX Orin (64GB) module which delivers up to 275 TOPS of computing power, capable of smoothly running mainstream modern AI models—including robotics models, large language models, large vision models, and AI image generation models—while also enabling advanced functionalities such as object recognition, target detection and tracking, speech recognition, and other vision-based development tasks.

Application Scenarios

Widely applicable to industries and fields such as edge computing, robotics, private deployment of large models, smart cities, smart healthcare, and smart industry.

Edge Computing

Robots

Private Deployment of Large Models

Smart City

Smart Healthcare

Smart Industry

Interfaces

Specifications

EC-AGXOrin
Basic Specifications	SOC	NVIDIA Jetson AGX Orin (64GB, original module)
	CPU	12-core 64-bit ARM Cortex-A78AE v8.2 processor with a frequency of up to 2.2GHz
	GPU	64 Tensor Cores 2048-core NVIDIA Ampere architecture GPU
	NPU	275TOPS
	Video decoding	1×8K30/3×4K60/7×4K30/11×1080p60/22×1080p30 H.265
	Codec	Video encoding: 2×4K60, 4×4K30, 8×1080p60, 16×1080p30 Video decoding: 1×8K30, 3×4K60, 7×4K30, 11×1080p60, 22×1080p30
	RAM	64GB LPDDR5
	Storage	64GB eMMC
	Storage expansion	1 × M.2 M-KEY (Expandable PCIe NVMe SSD, supports 2280 specification), 1 × TF Card
	OS	The Jetson system based on Ubuntu 22.04 provides a complete desktop Linux environment with graphics acceleration capabilities and supports libraries such as NVIDIA CUDA, TensorRT, and CuDNN.
	Power	DC 24V (5.5 × 2.5mm, support 9V~36V wide voltage input)
	Power consumption	Normal: 20W(24V/830mA), Max: 96W(24V/4000mA)
	Dimension	277.95mm × 136.09mm × 88.0mm
	Environment	Operating Temperature: -20℃～60℃, Storage Temperature: -20℃～70℃, Storage Humidity: 10%～90%RH (non-condensing)
Software Specifications	Deep learning	Supports the Ollama framework for local deployment of large models, applicable to natural language processing, code generation, and auxiliary scenarios. Supports the ComfyUI graphical deployment framework, applicable to image restoration, image style transfer, and image synthesis. Supports various deep learning frameworks accelerated by cuDNN, including PaddlePaddle, PyTorch, TensorFlow, MATLAB, MXNet, and Keras. Supports custom operator development. Supports Docker containerization technology for easy image deployment.
Software Specifications	AI software stack	The NVIDIA Jetson Orin series delivers powerful AI compute power, massive unified memory, and a comprehensive software stack to power the latest generative AI applications. It enables fast inference on any generative AI model powered by the Transformer architecture, enabling superior edge performance on MLPerf.
Interface Specifications	Internet	Ethernet: 1 × 10G Ethernet (RJ45), 5 × Gigabit Ethernet (RJ45; Among them, GE2, GE3, GE4, and GE5 support PSE) WiFi: Expand WiFi/Bluetooth module via M.2 E-KEY (2230), supports 2.4GHz/5GHz dual-band WiFi6 (802.11a/b/g/n/ac/ax) and Bluetooth 5.2 4G: Expanding 4G LTE through Mini PCIe 5G: Expanding 5G through M.2 B-KEY
	GPS	Support GPS positioning, real-time positioning, tracking, tracking, and time calibration of field devices (synchronized with UTC)
	Video input	8 × GMSL2 (Input via two 4Pin Mini FAKRA interfaces)
	Video output	1 × HDMI2.0 (4K@60Hz)
	Audio output	1 × 3.5mm Audio jack (Support MIC recording, American standard CTIA)
	USB	4 × USB3.0 (Max: 1A), 1 × Type-C (USB3.2 OTG), 1 × Type-C (Debug)
	Antenna	3 × 5G antenna, 1 × 4G/5G antenna, 1 × GPS antenna, 2 × WiFi antenna
	Button	1 × Reset, 1 × Recovery, 1 × Power
	Other interfaces	1 × SIM Card 1 × Phoenix connector (2×12Pin, 3.5mm pitch): 1 × RS485, 1 × RS232, 2 × CAN 2.0, 1 × UART, 1 × IO input, 1 × IO output