Yahboom Jetson Orin Nano Super 8GB AI Large Model Material SSD Jetson Aluminum Case
Bottom line: The Yahboom Jetson Orin Nano Super 8GB AI Large Model Material SSD Jetson is a specs-and-price decision rather than a crowd-consensus one in the single-board computers category, priced around $693.49 on Amazon as of 2026-10-22 10:15 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 【Core Parameters】AI Perf: 34/67 TOPS GPU:1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores CPU:6-core Arm Corte-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB LMemory:8GB 128-bit LPDDR5 68 GB/s Storage: external NVMe via M.2 Key M 【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…
SpecPicks Verdict
SpecPicks scored Yahboom Jetson Orin Nano Super 8GB AI Large Model Material SSD… using a rating × review-volume × price-fit model applied to published specs and reviews 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
- 【Core Parameters】AI Perf 34/67 TOPS GPU1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores CPU6-core Arm Corte-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB LMemory8GB 128-bit LPDDR5 68 GB/s Storage external NVMe via M.2 Key M
- 【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.
- 【AI Upgrade】Jetson Orin Nano series modules are compact in size but can deliver up to 34-67 TOPS of AI performance, with power consumption ranging from 7 watts to 25 watts. Compared to the Jetson Nano B01, it offers up to 80 times the performance and sets a new standard for entry-level edge AI.
- 【Highly compatible carrier board】Yahboom's carrier board is fully compatible with orin nano module. Compared to carrier boards that use Jetson Nano on the market, the newly upgraded circuit supports 25W power mode, which enables larger and more complex neural networks and fully leverages the performance of the core module. The resources, size, and interfaces of the Yahboom carrier board are consistent with the official board, with the only difference addition of power switch button.
- 【Tutorial materials provided】The JETSON system based on Ubuntu 22.04 provides a complete desktop Linux environment with accelerated graphics, supporting NVIDI-ACUDA 12.6, TensorRT 10.7.0, cuDNN 9.6.0, OpenCV 4.10.0, etc. The performance on AI LLM, VLM and visual Transformer is significantly improved compared with the previous generation.
Full Specifications
| ASIN | B0FQ5WKBJ1 |
|---|---|
| Brand | Yahboom |
| CPU Model | 6-core ARM Cortex-A78AE v8.2 |
| Model Name | Jetson Orin Nano |
| Unit Count | 1.0 Count |
| Manufacturer | Yahboom |
| Model Number | Jetson Orin Nano |
| Built-In Media | Blu-ray |
| Processor Brand | ARM |
| Processor Count | 6 |
| Processor Speed | 1.5 GHz |
| Total Usb Ports | 4 |
| Compatible Devices | CSI IMX219 Camera, AI Voice Module, Carrier Board, Keyboards, Mice, Displays, Yahboom Modules, Single-Board Computers |
| RAM Memory Installed | 8 GB |
| Warranty Description | Product delivery within 90 days |
| RAM Memory Technology | LPDDR5 |
| Memory Storage Capacity | 256 GB |
| Smart Home Compatibility | Not Smart Home Compatible |
| Ram Memory Installed Size | 8 GB |
| Full listing title | Yahboom Jetson Orin Nano Super 8GB AI Large Model Material SSD Jetson Aluminum Case, AI Voice Module, CSI IMX219 Camera Mechanical Engineers |
Ready to buy?
Yahboom Jetson Orin Nano Super 8GB AI Large Model Material SSD Jetson Aluminum Case, AI Voice Module, CSI IMX219 Camera Mechanical Engineers 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
Yahboom Jetson Orin Nano Super 8GB AI Large… 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 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
- The Complete Voodoo5 5500 AGP Driver Guide (2026 Edition)
- Best Budget Gaming PC Build 2026 — ~$1,000 Parts List
- Best 1440p Gaming GPUs in 2026
- RTX 4070 Super vs RX 7800 XT — Which to Buy in 2026
More reviews from the SpecPicks archive
Browse all reviews →- FIDECO vs Unitek vs Vantec: The Best IDE-to-USB Adapter for Rescuing Retro Drives in 2026
- IPEX-LLM + Ollama in Docker on Intel Arc: The 2026 Setup Guide
- Dual RTX 3060 12GB vs RTX 3090 24GB for Qwen2.5 32B (2026)
- Best GPU for 1440p Esports in 2026: Why the RTX 3060 12GB Still Delivers
- How Companies Name Their Monitors: Brand-by-Brand Guide
- Raspberry Pi 5 Specs: Full 2025 Breakdown
- BOSGAME VTA-439: A Linux-Friendly Ryzen AI 9 HX 470 Mini PC
- Best 27-inch 4K Monitor for PC and Console: Odyssey vs KOORUI
- Best PC Controller in 2026: DualSense vs GameSir G7 SE vs HORIPAD
- Best Budget PC Upgrades Under $250 in 2026
- Is the RTX 3060 12GB Still Worth Buying in 2026?
- Retro Console Mods in Canada: 2026 Legal & Hardware Guide
- SNES Classic vs Sega Genesis Mini: Best Plug-and-Play Retro Console in 2026
- Best Budget GPU for Local LLMs in 2026: RTX 3060 12GB
- Build a Raspberry Pi 4 Cyberdeck Music Workstation in 2026
- Best Budget AM4 Gaming PC Parts in 2026
- FIDECO vs Unitek vs Vantec: Best IDE-to-USB Adapter for Dumping Retro Drives
- Best Controller for PC Emulation: 8BitDo Pro 2 vs GameSir G7
- $2,000 Gaming PC Build 2026: Parts, Cost, 1440p FPS
- Best 4K Monitor for Console Gaming on a PS4 Pro in 2026
- RTX 4090 vs RTX 5090 for Local LLM Inference: 24 GB vs 32 GB (2026)
- ZOTAC RTX 3060 Twin Edge vs MSI Ventus 2X: Which 12GB Card for a Quiet Build?
- OpenAI Names Its Biggest Data Center Yet, With NVIDIA Backing: What It Means
- Microsoft's SkillOpt Boosts GPT-5.5 With Just a Trained Markdown File
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