> For the complete documentation index, see [llms.txt](https://acpcoin.gitbook.io/acp-coin-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://acpcoin.gitbook.io/acp-coin-docs/2.3-participatory-hybrid-mining.md).

# 2.3 Participatory Hybrid Mining

ACP’s mining approach combines two participation models, enabling flexibility based on user capabilities. Participants can either stake tokens passively or actively contribute GPU computations.

**2.3.1 Structure Definition**

| Type    | Description                                                           | Example Participants               |
| ------- | --------------------------------------------------------------------- | ---------------------------------- |
| Passive | Stake ACP tokens to receive periodic reward from compute pool         | Investors, non-GPU users           |
| Active  | Provide real GPU computing power to the network for real-time rewards | Miners, power users, AI developers |

These two models are not mutually exclusive and may be adopted concurrently.

**2.3.2 Component Flow**

* **Passive**: User stakes ACP through the DApp and is entitled to periodic reward based on total pool performance.<br>
* **Active**: User contributes real compute via Prime Mining and earns rewards that scale with uptime, accuracy, and hash output.<br>

**2.3.3 Accessibility & Scalability**

* Entry-level users can start with passive staking.
* Advanced miners can optimize performance for higher returns.
* Startups and institutions may engage as both consumers and contributors.\ <br>

2.3.4 Summary Table

| Type    | Method         | Contribution Basis | Payout Structure     | Entry Barrier  |
| ------- | -------------- | ------------------ | -------------------- | -------------- |
| Staking | Token Deposit  | Fixed Pool Share   | Periodic Rewards     | Very Low       |
| Mining  | GPU Processing | Performance Based  | Real-time Settlement | Medium to High |