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reComputer J3010 Edge AI Computer with NVIDIA Jetson Orinâ„¢ Nano 4GB without Power Adapter -Seeed Studio
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Brains of a genius, size of a sandwich - The reComputer J3010 Edge AI Computer by Seeed Studio is a high-performance and compact solution designed for AI applications at the edge.
Powered by the NVIDIA Jetson Orin Nano 4GB SoM, it delivers robust processing capabilities optimized for machine learning and AI workloads, making it a powerful computer on Jetson architecture for developers and engineers.
The device comes pre-installed with Jetpack 5.1.1 (Super Mode JP6.2), enabling advanced AI features and superior performance.
It includes a 128GB SSD for ample storage, along with versatile connectivity options such as 4x USB 3.2 ports, HDMI output, and Gigabit Ethernet.
The carrier board expands flexibility with M.2 Key E for WiFi, M.2 Key M for additional SSD storage, RTC, CAN interface, and a 40-pin GPIO header.
As a dedicated Edge AI computer, the re computer J3010 is ideal for industrial automation, robotics, smart vision, and other AI-driven applications where compactness and performance are critical. It also serves as a reliable Jetson computer friend for developers building scalable AI solutions. (Power adapter not included).
Related Searches - Orin Nano Accesories
You can now create AI agents capable of analyzing enormous amounts of live or archived videos and images using Vision-Language Models (VLM) such as LLaVA.
These new AI agents assist practically every industry in summarizing, searching, and extracting actionable insights from video using natural language.
Jetson Orin Nano uses the NVIDIA Multi-Standard Video Decoder into its video analytics architecture.
This video decoder speeds up video decoding by supporting low-resolution mobile material, Standard Definition (SD), High Definition (HD), and UltraHD (8K, 4K, etc). reComputer J3010 supports 11x1080p30 streaming.
See our tested YOLOv8 performance utilizing NVIDIA Deepstream for single and multi-model multi-stream scenarios.
We have prepared a Jetson example for you! It provides one-line deployment of edge AI apps such as Ollama and Llama3, as well as computer vision tools such as YOLOv8.
We have configured the entire environment for you to allow a single command deployment of projects.
| Jetson Module | AI Performance (TOPS) | CUDA Cores | Best For | Ideal User |
|---|---|---|---|---|
| Jetson Nano | ~0.5 TOPS | 128 | Basic AI tasks, simple robotics, learning projects | Students, hobbyists, first-time AI builders |
| Jetson Orin Nano (4GB) | Up to 20 TOPS | 512 | Entry-level edge AI, vision projects, DIY automation | Makers and beginners upgrading from Nano |
| Jetson Orin Nano (8GB) | Up to 40 TOPS | 1024 | Real-time vision, robotics, AI robotics kits, compact automation | Developers building smarter robots and edge AI systems |
| Jetson Orin NX | Up to 100 TOPS | 1024 | Heavy AI workloads, multi-model pipelines, advanced robotics | Professionals needing workstation-level edge performance |
| Jetson Orin Nano – J3010 Variant | Up to 20 TOPS | 1024 | Efficient edge AI computing, robotics, smart cameras | Users who want high performance in a small, power-efficient system |
When working on AI-based systems such as robotics or automation, developers often need tools which AI platform helps draw diagrams like electric motors, computer architectures, and system workflows. Platforms like diagramming AI tools and simulation software can complement the reComputer J3010 by helping visualize system designs before deployment.
Combined with the capabilities of this re computer, developers can move seamlessly from concept design to real-world AI implementation.
| Specification | Details |
|---|---|
| AI Performance | Jetson Orin Nano 4GB, up to 34 TOPS |
| GPU | 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores |
| CPU | 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU (1.5MB L2 + 4MB L3) |
| Memory | 4GB 64-bit LPDDR5, 34 GB/s |
| Video Encoder | 1080p30 supported by 1-2 CPU cores |
| Video Decoder |
1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265) |
| Storage | 1x M.2 Key M PCIe (128GB NVMe SSD included) |
| Ethernet | 1x RJ-45 Gigabit Ethernet (10/100/1000M) |
| M.2 Key E | 1x M.2 Key E (pre-installed Wi-Fi/Bluetooth combo module) |
| USB Ports |
4x USB 3.2 Type-A (10Gbps) 1x USB 2.0 Type-C (Device Mode) |
| Camera Interface | 2x CSI (2-lane 15-pin) |
| Display Output | 1x HDMI 2.1 |
| Fan Connector | 1x 4-pin Fan Connector (5V PWM) |
| CAN Interface | 1x CAN |
| Expansion Headers |
1x 40-pin Expansion Header 1x 12-pin Control and UART Header |
| RTC | 1x RTC 2-pin (CR1220 supported, not included) |
| Power Input | 9-19V DC |
| Dimensions (W x D x H) | 130mm x 120mm x 58.5mm (with case) |
| Installation Options | Desk, wall-mounting |
| Operating Temperature | -10℃ to 60℃ |
The reComputer J3010 Edge AI Computer is designed for edge AI applications like computer vision, robotics, smart surveillance, and automation. It enables real-time processing and inference for AI models, making it perfect for projects where speed, efficiency, and compact hardware are essential. With its NVIDIA Jetson Nano core, it’s ideal for developing and deploying AI solutions in various embedded systems.
Yes, the reComputer J3010 can run popular AI models like YOLO and TensorFlow. Thanks to its NVIDIA Jetson Nano architecture and support for CUDA and deep learning libraries, it handles object detection, image classification, and other machine learning tasks smoothly. Developers use the J3010 for prototyping and deploying deep learning projects with frameworks such as TensorFlow and PyTorch.
The reComputer J3010 outperforms the Raspberry Pi for AI projects due to its built-in GPU and compatibility with NVIDIA software like JetPack and CUDA. While Raspberry Pi suits general computing, the J3010 is optimized for real-time edge AI tasks, offering faster inference for neural networks and better performance in machine learning, robotics, and computer vision applications.
Yes, the reComputer J3010 fully supports NVIDIA JetPack and CUDA. JetPack provides a comprehensive AI software stack, including TensorRT and cuDNN, enabling accelerated computing and deep learning on the Jetson Nano processor. With CUDA support, developers can efficiently run and optimize GPU-based AI models, making the J3010 ideal for high-performance edge AI development.
Both beginners and professionals can benefit from the reComputer J3010. It’s user-friendly for newcomers exploring AI and robotics, and powerful enough for experts building advanced edge AI solutions. Its rich ecosystem, documentation, and support for popular frameworks make it accessible for students, hobbyists, and industry professionals working on machine learning and embedded computing projects.
This product comes with a 1-year manufacturer warranty from the date of purchase, covering manufacturing defects only.
The product shows signs of physical damage, mishandling, exposure to water/moisture, fire, natural calamities, unauthorized repairs, improper storage near heat or direct sunlight, or alteration in any way.