Out Of Stock
EC-ThorT5000 Jetson AGX Thor Computer
- Stock: Out Of Stock
- Model: ec-thort5000-computers
- SKU: ec-thort5000-computers
190 samples sold
$9,259.00
The EC-ThorT5000 utilizes the NVIDIA Jetson Thor series Jetson T5000 module, achieving a computing power of up to 2070 TFLOPS and supporting various large AI models and deep learning frameworks. It supports 92-channel 1080P video decoding and 50-channel 1080P video encoding. It features four 10 Gigabit Ethernet ports and four Gigabit Ethernet ports. Employing an industrial-grade all-aluminum alloy casing and dual cooling fans, it ensures stable operation 24/7.
Widely applicable to edge computing, robotics, large model localization, smart cities, smart healthcare, smart industry, and other fields.
- Product Datasheet: Click Here
Feature
- Equipped with NVIDIA Jetson Module
- Private Deployment of Mainstream AI Models
- Multiple Deep Learning Frameworks
- AI Software Stack and Ecosystem
- JetPack 7 with SBSA-Aligned Architecture
- Up to 92 Channels of 1080P Video Decoding
- Four 10-Gigabit Ethernet Ports
Product Overview
Product specifications and shipping information are referenced from the official Firefly (NVIDIA Jetson) product page.
No additional information available.
| Traditional network architectures | Support Ollama local large model deployment framework, which can be used for natural language processing, code generation, and assistance scenarios. Support ComfyUI graphical deployment framework, which can be used for scenarios such as image restoration, image style conversion, and image synthesis. Supports multiple deep learning frameworks accelerated by cuDNN, including PaddlePaddle, PyTorch, TensorFlow, MATLAB, MXNet and Keras. Supports custom operator development. Supports Docker containerization technology, which can be easily used for image deployment. |
|---|---|
| Ai software stack | The NVIDIA Jetson Thor 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. |
| Large model | Robot Model: ROS robot model is supported. Large Language Models: Support the privatization deployment of ultra-large-scale parametric models under the Transformer architecture, such as Deepseek-R1 series, Gemma series, Llama series, ChatGLM series, Qwen series, Phi series and other large language models. Large Visual Models: Support the privatization deployment of large visual models such as EfficientVIT, NanoOWL, NanoSAM, SAM and TAM. AI Painting: Supports the private deployment of Flux, Stable Diffusion, and Stable Diffusion XL image generation models. |
| Soc | NVIDIA Jetson Thor series Jetson T5000 (Original Module) |
| Cpu | 14-core 64-bit ARM Neoverse-V3AE processor with a frequency of up to 2.6GHz |
| Gpu | 2560-core NVIDIA Blackwell architecture GPU with 96 fifth-gen Tensor Cores, multi-Instance GPU (MIG) with 10 TPCs |
| Storage expansion | 2 × M.2 M-KEY (Expandable PCIe NVMe 2280 SSD, inside the computer) |
| Power | DC 24V (5.5 × 2.1mm, support 9V~36V wide voltage input) |
| Power consumption | Normal: 70W(24V/2920mA), Max: 145W(24V/6042mA) |
| Video output | 2 × HDMI2.0 (4K@60Hz) |
| Video input | Video input: 8 × GMSL2 (Input via two 4Pin Mini FAKRA interfaces) |
| Audio | 1 × 3.5mm Audio jack (Support MIC recording, American standard CTIA) |
| Os | Jetson systems based on Ubuntu 24.04 provide a complete desktop Linux environment with graphics acceleration and support for libraries such as NVIDIA CUDA, TensorRT, CuDNN, and more. |
| Dimension | 277.95mm × 136.09mm × 88.0mm |
| Weight | ≈2.83kg |
| Environment | Operating Temperature: -20℃～60℃, Storage Temperature: -20℃～70℃, Storage Humidity: 10%～90%RH (non-condensing) |
| Internet | Ethernet: 4 × 10G Ethernet (RJ45), 4 × Gigabit Ethernet (RJ45, 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 |
| Usb | 4 × USB3.0 (Max: 1A), 1 × Type-C (USB3.2 OTG), 1 × Type-C (Debug) |
| Button | 1 × Reset, 1 × Recovery, 1 × Power |
| Other | 1 × SIM Card 3 × 5G antenna, 1 × 4G/5G antenna, 1 × GPS antenna, 2 × WiFi antenna Support GPS positioning, real-time positioning, tracking, tracking, and time calibration of field devices (synchronized with UTC) |
No additional information available.
Our cooperating carriers: FedEx, DHL, UPS, SF Express
Delivery Area And Cost
| Country/Region | 0.0001-2kg | 2.0001-3kg | 3.0001-4kg | 4.0001-5kg | 5.0001-6kg | 6.0001-7kg | 7.0001-8kg | 8.0001-9kg | 9.0001-10kg |
|---|---|---|---|---|---|---|---|---|---|
| Japan, Taiwan, Hong Kong, Macau | $15 | $20 | $25 | $30 | $35 | $40 | $45 | $50 | $55 |
| Indonesia, Philippines | $25 | $30 | $40 | $50 | $60 | $70 | $80 | $85 | $95 |
| South Korea | $25 | $35 | $35 | $45 | $45 | $55 | $55 | $65 | $65 |
| Finland, France, Germany, Greece, Ireland, Italy, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, United States, Australia, New Zealand, Austria, Belgium, Denmark | $30 | $45 | $55 | $65 | $75 | $85 | $95 | $105 | $115 |
| Canada, United Kingdom | $40 | $50 | $60 | $75 | $85 | $95 | $105 | $115 | $130 |
| Hungary, India, Israel, Laos, Myanmar, Poland, Saudi Arabia, Turkey, United Arab Emirates, Vietnam, Bangladesh, Qatar, Cyprus, Pakistan, Brunei, Sri Lanka, Jordan, Oman, Maldives, Bulgaria, Iceland, Slovakia, Lithuania, Romania, Albania, Armenia, Mexico, Nepal, Serbia, Cambodia, Croatia, Czech Republic, Slovenia, Kazakhstan | $50 | $65 | $80 | $95 | $110 | $125 | $135 | $150 | $165 |
| Singapore, Thailand, Malaysia | $20 | $25 | $30 | $35 | $40 | $45 | $50 | $55 | $60 |
Shipping Time (for reference only, the actual situation shall prevail):
| Area | Shipping time |
| Europe | 3 - 7 business days |
| Asia, Oceania | 3 - 7 business days |
| North America | 3 - 7 business days |
| South America | 5 - 10 business days |
Please check which area your region/country is in.
Order preparation time: 3-7 business days (specific details need to refer to the order situation).