> For the complete documentation index, see [llms.txt](https://azen-protocol.gitbook.io/azen-gitbook/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://azen-protocol.gitbook.io/azen-gitbook/zenhive/zenhive-hardware-products-and-architecture.md).

# ZenHive Hardware Products & Architecture

### **3.1 Device Variants**

ZenHive hardware is designed with flexibility in mind, offering three distinct deployment options:

1. ZenHive Edge (Standalone Mining Device): Users can deploy ZenHive hardware independently, contributing computing power to the network and earning $aZen rewards.
2. ZenHive Primehost (Hosted Miner): ZenHive devices can be hosted in data centers, eliminating maintenance costs for users while ensuring stability and optimal performance.
3. ZenHive Nano (Virtual Computing Units): ZenHive hardware can be divided into multiple computing units, allowing for cloud-based AI computation and dynamic task scheduling.

### **3.2 Hardware Architecture**

ZenHive integrates a heterogeneous computing framework, combining Qualcomm ARM mobile computing with Intel AI processing, enabling superior decentralized computational power.

* Qualcomm ARM Mobile Computing: Each ZenHive device contains 64 virtual cloud phones, capable of parallel data processing, content distribution, and AI-driven engagement automation, improving operational efficiency for social media and e-commerce applications.
* Intel AI Processing: ZenHive leverages AI inference models such as DeepSeek to conduct advanced data analysis, intelligent recommendations, and AI-generated content (AIGC), optimizing content delivery and targeted marketing.