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Seeed Studio reComputer J1020 v2 AI Computer NVIDIA Jetson Nano 4GB

Seeed Studio reComputer J1020 v2 AI Computer NVIDIA Jetson Nano 4GB

$446.00 $133.80
This product is no longer in production. If you wish to purchase it, please click…

This product is no longer in production. If you wish to purchase it, please click here to view other versions.

Description

Seeed Studio reComputer J1020 v2 is a compact edge AI computer built around the NVIDIA Jetson Nano 4GB production module. It delivers around 0.5 TOPS of AI performance in a ready-to-use system and remains a practical choice for entry-level computer vision, robotics, AI education, smart city prototyping, and lightweight edge inference.

This model is especially useful if you want a complete Jetson Nano system instead of building around a loose carrier board. The J1020 v2 includes rich interfaces such as 4 x USB 3.0, Gigabit Ethernet, HDMI, DisplayPort, dual CSI camera connectors, M.2 Key M storage expansion, 40-pin GPIO, and control / UART headers, making it much easier to move from development to deployment.

Although Jetson Nano is now an older Jetson platform, the reComputer J1020 v2 still has clear value for projects that need low power consumption, CUDA-enabled development, compact deployment, and compatibility with classic JetPack 4.6.1 workflows.

Features

  • Jetson Nano 4GB edge AI platform: A practical starting point for CUDA, TensorRT, and compact vision AI development.
  • Complete plug-and-play system: Easier to deploy than a bare carrier board or discontinued Jetson Nano developer kit.
  • Useful interface mix: 4 x USB 3.0, GbE, HDMI, DP, M.2 Key M, CSI, fan header, GPIO, and UART header are all available.
  • Compact mechanical design: Small enclosure with desk and wall-mounting support for embedded AI projects.
  • JetPack ready: Pre-installed JetPack 4.6.1 makes it suitable for classic Jetson Nano software workflows.
  • Low-power edge deployment: A good fit when power budget and physical footprint matter more than large-model inference.

Specifications

Product Series reComputer J1020 v2
Module Jetson Nano 4GB production module
AI Performance 0.5 TOPS
GPU 128-core NVIDIA Maxwell architecture GPU
CPU Quad-core ARM Cortex-A57 MPCore
Memory 4GB 64-bit LPDDR4, 25.6 GB/s
Video Encoder 1 x 4K30, 2 x 1080p60, 4 x 1080p30, 4 x 720p60, 9 x 720p30, H.265 and H.264
Video Decoder 1 x 4K60, 2 x 4K30, 4 x 1080p60, 8 x 1080p30, 9 x 720p60, H.265 and H.264
Storage Expansion 1 x M.2 Key M PCIe
Ethernet 1 x RJ45 Gigabit Ethernet, 10/100/1000M
USB 4 x USB 3.0 Type-A, 1 x Micro-USB for device mode
Camera 2 x CSI, 2-lane 15-pin
Display 1 x HDMI Type-A, 1 x DisplayPort
Fan Header 1 x 4-pin fan connector, 5V PWM
Expansion Headers 1 x 40-pin expansion header, 1 x 12-pin control and UART header
Power DC jack, 12V / 2A
Dimensions 130 x 120 x 50 mm with case
Installation Desk and wall-mounting
Operating Temperature 0C to 60C

Applications

  • Computer vision entry projects: A practical Jetson platform for image classification, detection, and lightweight vision AI.
  • Robotics and AMR prototypes: Useful for early-stage robotics controllers, sensor fusion experiments, and mobile robot prototypes.
  • AI education and CUDA learning: Suitable for learning Jetson, TensorRT, DeepStream-adjacent workflows, and edge inference basics.
  • Smart city and embedded demos: Good for kiosks, compact terminals, proof-of-concept devices, and visual analytics demos.
  • Jetson Nano replacement path: A practical alternative for users who can no longer buy the official Jetson Nano Developer Kit.

Product List

reComputer J1020 v2, system installed x1
12V / 2A power adapter with 5 interchangeable adapter plugs x1

Note: 3V RTC battery is not included.

Other Content

The J1020 v2 is best understood as a compact Jetson Nano full system. That matters because the original NVIDIA Jetson Nano Developer Kit is already EOL, while this model still gives users a practical way to deploy Jetson Nano based applications in a finished enclosure.

The J202 carrier board inside the system gives it more practical expansion options than many simple embedded boxes, including CSI, M.2 storage, GPIO, UART, USB 3.0, and display output for edge visual applications.

If your workload is still lightweight enough for Jetson Nano, the J1020 v2 can remain a very cost-effective choice. If you need larger models, more memory headroom, or higher throughput, then newer Orin-based reComputer models are usually the better upgrade path.

Resources

  • Datasheet
  • Schematic
  • 3D File
  • Seeed NVIDIA Jetson Product Catalog
  • NVIDIA Jetson Product Comparison
  • Seeed Jetson One Pager
  • Related reComputer J3011 Product Page
  • Related reComputer J4012 Product Page

FAQ

What kind of user should choose reComputer J1020 v2?
It is a good fit for users who still want a Jetson Nano 4GB full system for compact edge AI, education, entry-level vision projects, and CUDA-based learning or deployment.

How is J1020 v2 different from the original Jetson Nano Developer Kit?
The original developer kit is already EOL. The reComputer J1020 v2 gives you a more deployment-ready full system in a compact enclosure, which makes it a more practical replacement path for many Jetson Nano users.

How does J1020 v2 compare with reComputer J3011?
reComputer J3011 is based on Jetson Orin Nano 8GB and is a much stronger choice if you need newer software stacks, more performance, and more headroom for modern AI workloads. J1020 v2 is the lighter and older Nano-based option.

How does J1020 v2 compare with reComputer J4012?
reComputer J4012 is an Orin NX 16GB class system and sits far above the J1020 v2 in performance. Choose J1020 v2 when you want a compact Jetson Nano solution; choose J4012 when your deployment needs significantly more AI throughput and memory.

Can I use CSI cameras and GPIO peripherals with this system?
Yes. The J1020 v2 provides 2 x CSI connectors plus a 40-pin expansion header, so it can support many camera and peripheral workflows used in Jetson-based embedded projects.

Is J1020 v2 still worth using today?
Yes, as long as your workload fits within Jetson Nano limits. It is still useful for education, embedded prototypes, simple vision pipelines, robotics experiments, and low-power edge deployments. If you need larger models or heavier inference, newer Orin systems are the better choice.

Does the package include everything needed to power the unit?
Yes, it includes the 12V / 2A power adapter with interchangeable adapter plugs. The RTC battery is not included.

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