Yahboom Jetson Orin Nano 8GB RAM Super Board (Official) 67Tops Development Board Kit
Bottom line: The Yahboom Jetson Orin Nano 8GB RAM Super Board is a specs-and-price decision rather than a crowd-consensus one in the single board computers category, priced around $689.00 on Amazon as of 2026-10-20 22:16 UTC. 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 →
*Price sourced from Amazon.com. Last updated 2026-10-20. Price and availability subject to change.
Pros & Cons
Pros
- ✓ Backed by Yahboom'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
【Orin Nano core parameters】AI performance: 67 TOPS GPU: 1024-core N-VI-DIA Ampere architecture GPU, 32 Tensor Cores CPU: 6-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB LMemory: Memory 4GB/8GB 128-bit LPDDRMemory: SD card slot compatible with external NVMe. 【Rich interfaces and high performance】The built-in M.2 Key E wireless network module provides a more stable transmission speed and supports 1000Mbps Ethernet, meeting the needs of various network applications. Adopts PWM adjustable fan, active heat dissipation, and efficient heat dissipation design. 【Empowered by Large Al…
SpecPicks Verdict
SpecPicks scored Yahboom Jetson Orin Nano 8GB RAM Super Board(Official) 67Tops… using a rating × review-volume × price-fit model applied to our editorial and benchmark analysis across the single board computers category. Yahboom'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
- 【Orin Nano core parameters】AI performance: 67 TOPS GPU: 1024-core N-VI-DIA Ampere architecture GPU, 32 Tensor Cores CPU: 6-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB LMemory: Memory 4GB/8GB 128-bit LPDDRMemory: SD card slot compatible with external NVMe.
- 【Rich interfaces and high performance】The built-in M.2 Key E wireless network module provides a more stable transmission speed and supports 1000Mbps Ethernet, meeting the needs of various network applications. Adopts PWM adjustable fan, active heat dissipation, and efficient heat dissipation design.
- 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications.
- 【Wide range of applications】Suitable for AI robots, drone data processing, urban road recognition, medical data processing, etc. Yahboom has a strong after-sales technical support team and provides Ubuntu 22.04 system and AI vision and ROS development materials. Provide ROS2 related materials.
Full Specifications
| Brand | Yahboom |
|---|---|
| Color | Developer Kit |
| Model | NVIDIA Jetson Orin Nano 8GB Super |
| Warranty | Product delivery within 90 days |
| UnitCount | 1 |
| Manufacturer | Yahboom |
| Full listing title | Yahboom Jetson Orin Nano 8GB RAM Super Board(Official) 67Tops Development Board Kit for Embedded Edge Systems Deploying OpenClaw |
Performance Data
View gaming FPS, AI inference throughput, and synthetic scores for the NVIDIA Jetson Orin Nano Super — the core hardware component in this product. Benchmarks sourced from TechPowerUp, PassMark, and the r/LocalLLaMA community.
Ready to buy?
Yahboom Jetson Orin Nano 8GB RAM Super Board(Official) 67Tops Development Board Kit for Embedded Edge Systems Deploying OpenClaw is listed on Amazon. Price, availability, shipping and returns are set by Amazon and its sellers — check the listing for current terms. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.
*Price sourced from Amazon.com. Last updated 2026-10-20. Price and availability subject to change.
Read our analysis
SpecPicks coverage that features this Single Board Computer.
Related Single Board Computers
More guides & deep dives from the SpecPicks archive
Browse all articles & guides →- Best 1440p Gaming GPUs in 2026
- The Complete Voodoo5 5500 AGP Driver Guide (2026 Edition)
- Best Retro Handhelds in 2026 — From $35 to $500
- Emulation Hardware in 2026: FPGA, Software, and Cart-Reader Ecosystems
- How to Build a Windows 98 Retro PC in 2026
- RTX 4070 Super vs RX 7800 XT — Which to Buy in 2026
- Best Budget Gaming PC Build 2026 — ~$1,000 ($800 on Sale)
More reviews from the SpecPicks archive
Browse all reviews →- Build a Pocket Retro Emulation Handheld on the Raspberry Pi Zero W in 2026
- Best SSD for PS5 and Console-PC Hybrid Setups in 2026
- The Adder at the Heart of Intel's 8087 Math Coprocessor
- Wired Headset vs Bluetooth Earbuds for Competitive FPS: The Latency Math
- Jellyfin vs Plex on a Raspberry Pi 4 (8GB) in 2026: Transcoding, Power Draw, and Which to Self-Host
- NVMe vs SATA for Gaming: WD Blue SN550 vs Crucial BX500 in 2026
- N100 Mini PC vs Raspberry Pi 4 for Home Assistant in 2026
- Can a Raspberry Pi 4 8GB Run a Local LLM in 2026? Realistic tok/s
- Mistral 7B vs Mistral Small 24B: GPU Requirements Compared
- Watercooled Gaming/Networking Rack: 2025 Build Guide
- Anthropic's Fable 5 Ban and Jailbreak: What It Means for Local-LLM Resilience
- BOSGAME VTA-439: A Linux-Friendly Ryzen AI Mini PC
- Running a 26B LLM Locally With No GPU: The CPU Setup Guide
- Gunnir Arc B580 vs RTX 5090D on DeepSeek: The Budget AI-Rig Upset Explained
- Building a Period-Correct 2002 GeForce 4 Ti + Pentium 4 Northwood Win98/XP Dual-Boot
- Qwen 3.8 vs Kimi K3: Which Open-Weight Model Fits a 12GB Rig?
- Why Retro Cables Are Melting Into Their Cases in Storage
- What a $15 Raspberry Pi Zero W Can Still Do in 2026
- Logitech G29 vs HORI vs Thrustmaster: Best Sim Racing Wheel for Beginners
- Best Storage Upgrades for Retro and Budget PC Builds in 2026
- CRT vs Monitor for Retro Gaming: Which Wins in 2026
- Mount a 90s CD-ROM on Windows 98 Without a CD Drive (2026)
- Adding Modern Audio to a Retro PC: Sound BlasterX G6 on XP
- Open WebUI on a Raspberry Pi 4, Inference on an RTX 3060: The Split-Brain Home LLM Stack
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