seeed studio NVIDIA Jetson Orin NX 16GB (reComputer J4012) with Power Cable
Status: seeed studio NVIDIA Jetson Orin NX 16GB: Unavailable on Amazon as of . SpecPicks has no in-stock listing with matching specs on file; the search below lists current offers. eBay sellers may still list this model new or used.
Bottom line: The seeed studio NVIDIA Jetson Orin NX 16GB with Power Cable is a specs-and-price decision rather than a crowd-consensus one in the single-board computers category. Check the specification table below against one or two close alternatives — on price and spec fit, not on star ratings.
As an Amazon Associate, SpecPicks earns from qualifying purchases. Full disclosure →
Currently unavailable on Amazon. Not the same product — 3 in-stock alternatives:
Similar: reComputer Super J4012 - Advanced Edge AI… — $1,799.00 on Amazon as of 2026-10-22 12:20 UTC (price may vary).
Similar: Uninterruptible Power Supply UPS Module… — $35.00 on Amazon as of 2026-10-22 16:16 UTC (price may vary).
Similar: Yahboom Jetson Orin NX Super 16GB RAM 157 Tops… — $1,320.49 on Amazon as of 2026-10-22 16:17 UTC (price may vary).
Pros & Cons
Pros
- ✓ Backed by seeed studio's warranty and support channels
Cons
- ✗ Check the listed dimensions, connectors and platform compatibility against your setup before ordering
- ✗ Price, stock, shipping and returns are set by the retailer and may have changed since this page was last updated
Manufacturer description
About this item 🟦【Brilliant AI Performance for production】 on-device processing with up to 100 TOPS AI performance with low power and low latency 🟦【Hand-size edge AI device】 compact size at 130mm x120mm x 58.5mm, includes NVIDIA Jetson Orin NX 16GB production module, a cooling fan with a heatsink, enclosure, and a power adapter. Support desktop, wall mount, fit in anywhere 🟦【Expandable with rich I/Os】4x USB 3.2, HDMI 2.1, 2xCSI, 1xRJ45 for GbE, M.2 Key E, M.2 Key M, CAN, and GPIO. 🟦【Accelerate solution to market】pre-installed Jetpack with NVIDIA JetPack 5.1 on the included 128GB NVMe…
SpecPicks Verdict
SpecPicks scored seeed studio NVIDIA Jetson Orin NX 16GB with Power Cable using a rating × review-volume × price-fit model applied to our editorial and benchmark analysis across the single-board computers category. seeed studio's single-board computers lineup sits within the broader category mid-tier; price and specs are the deciding factors over brand loyalty here. Judge it on the specification table and the price rather than on sentiment: check the figures that decide your use case, then put it side-by-side with two or three close alternatives in the Compare tool before clicking through.
Common buyer scenarios for single-board computers of this kind: matching it to an existing build, replacing a failing part, or upgrading from a previous-generation equivalent. Check the spec table below against your current setup — particularly socket / form-factor / power-rating fields — and confirm compatibility on the retailer's listing before purchase. Prices and stock are set by the retailer and may have moved since this page was last updated.
Key Features
- 🟦【Brilliant AI Performance for production】 on-device processing with up to 100 TOPS AI performance with low power and low latency
- 🟦【Hand-size edge AI device】 compact size at 130mm x120mm x 58.5mm, includes NVIDIA Jetson Orin NX 16GB production module, a cooling fan with a heatsink, enclosure, and a power adapter. Support desktop, wall mount, fit in anywhere
- 🟦【Expandable with rich I/Os】4x USB 3.2, HDMI 2.1, 2xCSI, 1xRJ45 for GbE, M.2 Key E, M.2 Key M, CAN, and GPIO.
- 🟦【Accelerate solution to market】pre-installed Jetpack with NVIDIA JetPack 5.1 on the included 128GB NVMe SSD, Linux OS BSP, 128GB SSD, support Jetson software and leading AI frameworks and software platforms
- 🟦【With Power Cable】50cm, 3-pronged AC power cord designed for the Jetson Orin Nano and Orin NX devices.
Full Specifications
| ASIN | B0DSZRGXRF |
|---|---|
| Brand | seeed studio |
| Model Name | Orin NX |
| Unit Count | 1.0 Count |
| Model Number | Orin NX |
| Video Processor | NVIDIA |
| Graphics Card Ram | 16 GB |
| Graphics Ram Size | 16 GB |
| Graphics Ram Type | GDDR6X |
| Compatible Devices | Desktop |
| Graphics Coprocessor | NVIDIA Orin NX |
| Graphics Description | NVIDIA Jetson Orin NX 16GB |
| Video Output Interface | HDMI |
| Graphics Card Interface | PCI-Express x16 |
| Display Resolution Maximum | 7680x4320 |
| Graphics Processor Manufacturer | NVIDIA |
Performance Data
View gaming FPS, AI inference throughput, and synthetic scores for the NVIDIA Jetson Orin NX 16GB — the core hardware component in this product. Benchmarks sourced from TechPowerUp, PassMark, and the r/LocalLLaMA community.
Ready to buy?
Amazon shows no buyable offer for seeed studio NVIDIA Jetson Orin NX 16GB at the last check. A similar in-stock product is reComputer Super J4012 - Advanced Edge AI…. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.
Related Single-Board Computers
More guides & deep dives from the SpecPicks archive
Browse all articles & guides →- Best Retro Handhelds in 2026 — From $35 to $500
- The Complete Voodoo5 5500 AGP Driver Guide (2026 Edition)
- RTX 4070 Super vs RX 7800 XT — Which to Buy in 2026
- Best 1440p Gaming GPUs in 2026
- Emulation Hardware in 2026: FPGA, Software, and Cart-Reader Ecosystems
- Best Budget Gaming PC Build 2026 — ~$1,000 Parts List
- How to Build a Windows 98 Retro PC in 2026
More reviews from the SpecPicks archive
Browse all reviews →- Best Budget Gaming PC Parts in 2026: A 5-Pick Build List
- Best Sim Racing Wheel for Forza Horizon 6 on PC in 2026
- Local LLM Hardware in 2025: Picking GPUs, CPUs & RAM
- Best Noctua and Quiet-Tier CPU Coolers in 2026
- 18 LLMs Benchmarked on OCR: Why Cheaper Models Often Win
- Best 1TB SATA SSD for Cloning Old Drives and OS Migrations 2026
- Best SATA SSD to Upgrade a PS4 Pro in 2026: Faster Loads on a Budget
- Best CPU for Local LLM Inference in 2026: Ryzen 7 5800X vs 5700X vs 5600G
- SNES Classic vs Raspberry Pi 4 RetroPie: Which Retro Console Wins in 2026?
- How to Decode Modern Monitor Names: A 2026 Buyer's Translation Guide
- DeepSeek 4 Flash on 128GB MacBook: Local Inference Throughput Reality Check
- Best Controller for PC and Steam Gaming in 2026: G7 SE vs 8BitDo Pro 2 vs DualSense
- RTX 5080 vs RX 7900 XTX: Which GPU Wins in 2026?
- Best Raspberry Pi for a Touchscreen Home Dashboard in 2026
- Build a PiKVM V3 Device for Remote Server Management (2026)
- Backing Up Vintage IDE Drives to CompactFlash in 2026
- Imaging Vintage IDE Drives in 2026: A CompactFlash + USB Adapter Workflow
- Anthropic's Samsung Chip Talks: Why Local Inference on an RTX 3060 Still Matters
- Best Wireless Productivity Keyboards for Home Office in 2026
- Qwen3 0.6B: Raspberry Pi 4 8GB vs Ryzen 5 5600G for Tiny-Model Hosts (2026)
- Best Budget 1TB SATA SSD 2026: BX500 vs WD Blue vs SanDisk Ultra 3D vs Samsung 870 EVO
- Qwen3.6-35B-A3B vs Gemma 4 26B-A4B: MoE Showdown on Consumer GPUs
- Best Storage Upgrades for Gaming and Retro PCs in 2026
- Best Motherboard for Ryzen 7 9800X3D in 2026
Earliest SpecPicks reviews
Browse full archive →- Best GPU for Llama 3.1 8B (2026)
- Best GPU for Qwen 3 14B (2026)
- Best GPU for Qwen 3 32B (2026)
- Best GPU for Llama 3.1 70B (2026)
- Best GPU for DeepSeek-R1 32B (2026)
- Best GPU for Llama 3.1 405B (2026)
- How to run Llama 3.1 8B on NVIDIA GeForce RTX 5090
- How to run Qwen 3 14B on NVIDIA GeForce RTX 5090
- How to run Qwen 3 32B on NVIDIA GeForce RTX 5090
- How to run Llama 3.1 70B on NVIDIA GeForce RTX 5090
- How to run DeepSeek-R1 32B on NVIDIA GeForce RTX 5090
- How to run Llama 3.1 8B on NVIDIA GeForce RTX 4090