waveshare
Jetson Orin Nano Super AI Development Kit for Embedded and Edge Systems, with 8GB Memory Jetson Orin Nano Module
*Price sourced from Amazon.com. Last updated 2026-06-15. Price and availability subject to change.
Bottom line: The Jetson Orin Nano Super AI Development Kit for Embedded and Edge Systems, with 8GB Memory Jetson Orin Nano Module is a niche pick — read recent reviews before buying in the single-board computers category, priced around $469.99. Read recent reviews carefully before committing.
About this item The NV Jetson Orin Nano Super Developer Kit is a compact, yet powerful computer that sets a new standard for creating entry-level AI-powered robots and intelligent cameras. It can run all modern AI models such as Vision Transformers, Large Language Models, Vision Language Models, etc. At the same time, it simplifies the entry process of the Jetson Orin Nano series, and provides an affordable and accessible platform for developers, students, and makers, with the support of the N-VIDIA AI software and a broad AI software ecosystem. Existing Jetson Orin Nano Developer Kit users…
SpecPicks Verdict
SpecPicks classifies Waveshare Jetson Orin Nano Super AI Development Kit for Embedded and… as a niche pick — read recent reviews before buying in the single-board computers category, based on our editorial and benchmark analysis and our ranking model that weights rating × review-volume × price-fit. waveshare's positioning sits within the broader category mid-tier. Use the Compare tool to put it side-by-side with two or three close alternatives before clicking through to Amazon.
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 Amazon listing before purchase. Prices, stock, and Prime eligibility update directly from Amazon's catalog and may have moved since this page was last verified.
Pros & Cons
Pros
- ✓ Backed by waveshare's warranty and support channels
- ✓ Ships via Amazon with Prime eligibility and the standard returns policy
Cons
- ✗ Confirm socket / form-factor / power-rating compatibility against your build before ordering
- ✗ Price, stock, and Prime eligibility update from Amazon and may have changed since this page was last verified
Key Features
- The NV Jetson Orin Nano Super Developer Kit is a compact, yet powerful computer that sets a new standard for creating entry-level AI-powered robots and intelligent cameras.
- It can run all modern AI models such as Vision Transformers, Large Language Models, Vision Language Models, etc. At the same time, it simplifies the entry process of the Jetson Orin Nano series, and provides an affordable and accessible platform for developers, students, and makers, with the support of the N-VIDIA AI software and a broad AI software ecosystem.
- Existing Jetson Orin Nano Developer Kit users can experience this performance boost with just a software upgrade, so everyone can now unlock new possibilities with generative AI.
- Compared with the previous generation of products, the Super Developer Kit provides users with more powerful AI computing power with the same compact size and more cost-effective price.
- With the Jetpack 6.1.1 SDK, it delivers up to 67 TOPS of AI performance - a 1.7X improvement over its predecessor, and memory bandwidth is increased by 50% to 102GB/s.
- Rich WiKi Resources We provide official Wiki resources, please visit our store and click the wiki page to get resources.
Full Specifications
| ASIN | B0DTH87MQ1 |
|---|---|
| Brand | waveshare |
| CPU Socket | BGA |
| Model Name | Jetson Orin Nano Super Developer Kit |
| Chipset Type | NVIDIA Orin |
| Manufacturer | Waveshare |
| Model Number | Jetson Orin Nano |
| Built-In Media | Jetson Orin Nano Super Developer Kit |
| Number of Ports | 7 |
| Total Usb Ports | 1 |
| Processor Socket | BGA |
| Total PCIe Ports | 1 |
| Compatible Devices | Personal Computer |
| Warranty Description | 1 year |
Ready to buy?
Waveshare Jetson Orin Nano Super AI Development Kit for Embedded and Edge Systems, with 8GB Memory Jetson Orin Nano Module is available on Amazon with Prime shipping and the full Amazon returns policy. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.
*Price sourced from Amazon.com. Last updated 2026-06-15. Price and availability subject to change.
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
- RTX 4070 Super vs RX 7800 XT — Which to Buy in 2026
- Emulation Hardware in 2026: FPGA, Software, and Cart-Reader Ecosystems
- Best Budget Gaming PC Build 2026 — ~$1,000 ($800 on Sale)
- Best 1440p Gaming GPUs in 2026
- How to Build a Windows 98 Retro PC in 2026
- The Complete Voodoo5 5500 AGP Driver Guide (2026 Edition)
More reviews from the SpecPicks archive
Browse all reviews →- Voodoo5 5500 PCI Boots on Modern ASUS P8Z77-V Pro — A Look at Retro GPUs in 2026 Boards
- Linux Beats Windows 11 on AMD's Ryzen 9 9950X3D2
- Load Retro Games onto a Win98 IDE PC with a CompactFlash Adapter (2026)
- Run a Local Coding Agent on an RTX 3060 12GB (After Codex Went Autonomous)
- HyperX QuadCast 2 S vs Blue Yeti: Best USB Mic 2026
- Best Budget Gaming CPUs for 1080p in 2026
- Best Webcam and Mic Setup for Streaming Under $300 (2026)
- Best CPU Cooler for the Ryzen 7 5800X: Air vs AIO in 2026
- Best Monitor for Color Grading Under $500 in 2026
- Can a 12GB RTX 3060 Run Gemma 4 31B? Quantization & Tok/s Reality Check
- Qwen3.6-35B-A3B on an 8GB Laptop: What the Krasis Benchmark Means for Local Inference
- Voodoo3 3000 vs GeForce 256: 1999 Glide vs OpenGL Showdown
- Best Budget SATA SSD for Gaming PC Builds in 2026: 5 Picks Tested for Steam Library Speed
- Gemma 4 31B Heretic Finetune: Can It Run on a 12GB RTX 3060?
- CUDA 13.3 Landed: What Local LLM Operators Need to Know for RTX 3060 / 4090 Rigs
- AI-Driven Driver Install on Win98: Using a Vision LLM to Recover a Voodoo3 PCI Card
- Ryzen AI Max+ 395 128GB vs Dual RTX 3060 for Local LLMs
- CUDA 13.3 and the RTX 3060: What Changes for Local LLM Inference
- Lemonade v10.5.1: an MTP + ROCm 7.13 quick start for Strix Halo
- FIDECO vs Unitek vs Vantec: Best IDE-to-USB Adapter for Dumping Retro Drives
- How Fast Is Local LLM Inference on a Ryzen 7 5800X (CPU-Only, No GPU)?
- Raspberry Pi AI HAT+ (26 TOPS): What It Actually Runs in 2026
- Why You Shouldn't Leave the Default Model on Copilot or Gemini
- Best Budget Build for Local LLMs in 2026: How Far a Ryzen 5 5600G + RTX 3060 Gets You