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
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)