Yahboom
Yahboom Jetson Orin Nano 8GB RAM Super Board (Official) 67Tops Development Board Kit
Bottom line: The Jetson Orin Nano 8GB RAM Super Board 67Tops Development Board Kit is a specs-and-price decision rather than a crowd-consensus one in the single-board computers category, priced around $629.00 on Amazon as of 2026-10-22 10:13 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 2026-10-22. 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
About this item 【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…
SpecPicks Verdict
SpecPicks scored Jetson Orin Nano 8GB RAM Super Board 67Tops Development Board Kit 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
| ASIN | B0GDDKHQMS |
|---|---|
| Brand | Yahboom |
| CPU Model | 6-core ARM Cortex-A78AE v8.2 |
| Model Name | Jetson Orin Nano 8GB RAM Super Board |
| Unit Count | 1.0 Count |
| Manufacturer | Yahboom |
| Model Number | 6-core ARM Cortex-A78AE v8.2 |
| Built-In Media | Blu-ray |
| Processor Brand | ARM |
| Processor Count | 6 |
| Processor Speed | 1.5 GHz |
| RAM Memory Installed | 8 GB |
| Warranty Description | Product delivery within 90 days |
| RAM Memory Technology | LPDDR5 |
| Memory Storage Capacity | 256 GB |
| Ram Memory Installed Size | 8 GB |
| Full listing title | Jetson Orin Nano 8GB RAM Super Board(Official) 67Tops Development Board Kit for Embedded and 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?
Jetson Orin Nano 8GB RAM Super Board(Official) 67Tops Development Board Kit for Embedded and 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 2026-10-22. Price and availability subject to change.
Related Single-Board Computers
Jetson Orin Nano 8GB RAM Super Board(Official)… head-to-head
Side-by-side specs, prices, and a pick for each matchup — no tab-switching.
More guides & deep dives from the SpecPicks archive
Browse all articles & guides →- Best 1440p Gaming GPUs in 2026
- How to Build a Windows 98 Retro PC in 2026
- Emulation Hardware in 2026: FPGA, Software, and Cart-Reader Ecosystems
- Best Budget Gaming PC Build 2026 — ~$1,000 Parts List
- Best Retro Handhelds in 2026 — From $35 to $500
- RTX 4070 Super vs RX 7800 XT — Which to Buy in 2026
- The Complete Voodoo5 5500 AGP Driver Guide (2026 Edition)
More reviews from the SpecPicks archive
Browse all reviews →- Best Budget Sim Racing Wheel: Logitech G29 vs HORI vs Thrustmaster
- Microsoft MAI-Image-2.5 Lands #2 on the Image Arena — The Local Angle
- Can a 12GB RTX 3060 Run Bonsai 27B, the New Open Reasoning Model?
- Microsoft Signals 32GB RAM as the Windows 11 Gaming Baseline
- Best Webcam for PC Game Streaming Under $100 (2026)
- Best 27-inch 4K Monitor for PC and Console: Odyssey vs KOORUI
- LG UltraGear 52G930B 52-inch 5K gaming monitor review: Extreme in every respect
- AA-AgentPerf: What the New Agentic Benchmark Means for Local Coding Rigs
- Best Wheel and Controller for Truck and Farm Sims in 2026
- DualSense vs 8BitDo Pro 2 vs GameSir G7 SE: PC Sim Racing
- Ryzen 5 5600G vs Ryzen 7 5800X for a Budget 1080p Gaming Build
- RTX 3060 12GB vs RTX 4070 12GB for Qwen2.5 14B (2026)
- GameSir G7 SE vs DualSense vs 8BitDo Pro 2 for PC Gaming in 2026
- Active Quake 3 and OpenArena Servers in 2026 — How to Find and Join Them
- Best CPU for Streaming and Gaming on a Single PC in 2026
- Ultrawide vs 27-Inch 4K for Sim Racing on a G29 and RTX 3060
- Data Center CPU Demand Surge: AI Agents and the GPU Ratio Shift
- CompactFlash vs SATA SSD vs IDE-to-USB: Best Storage for a Retro PC
- CompactFlash Boot Drive for Windows 98: Transcend CF133 Setup and Benchmarks
- Get Up to $900 Off a Dell PC: Gaming & Everyday Deals
- Using Claude to Auto-Generate Period-Correct DOSBox-X Configs for 90s PC Games
- Core i7-9700K vs Ryzen 7 5800X for 1440p Gaming in 2026
- RTX 3060 12GB vs RTX 4060 Ti 16GB for Qwen2.5-Coder 14B (2026)
- IPEX-LLM Ollama Update 2026: What's New for Intel GPU Rigs
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