> For the complete documentation index, see [llms.txt](https://docs.miuro.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.miuro.ai/token-economy/usdmu-economic-system-explained.md).

# $MU Economic System Explained

MU is the Pre-TGE form of $MIURO, with a total supply of 280 million.

It is strictly anchored 1:1 to the corresponding amount of $MIURO.

### Two Main Uses of $MU

#### 1. Cloud Node Synthesis

Users can consume $MU to synthesize different levels of Cloud Nodes, gaining the corresponding Hash Power and mining duration.

After synthesis, MU enters the reward pool instead of being burned. It will be used for future reward distribution.

#### 2. $MIURO Redemption After TGE

After TGE, MU can be directly redeemed for $MIURO at a 1:1 ratio with no transaction fee.

### Cloud Node Synthesis Cost Curve

The synthesis cost increases as the number of synthesized nodes grows, creating a natural market adjustment mechanism.

* The first 500 Cloud Nodes have a lower cost, approximately 100 MU.
* As the number of synthesized nodes increases, the cost gradually rises.
* When the synthesis cost becomes higher than the secondary market price, synthesis demand naturally decreases.

This design prevents unlimited Cloud Node expansion while giving early participants a certain advantage.

### Overall Value Capture and Deflation Logic

MIURO captures value through multiple mechanisms:

* Partial burning from generation and issuance fees
* Partial burning from content token trading fees
* Cloud Node upgrade fees partly used for buybacks and burns
* The $SIG 72-hour burn mechanism
* Continuous ecosystem support and buybacks from the Treasury and Premium Pool

Together, these mechanisms create deflationary pressure for $MIURO and $SIG as real network usage increases, creating value for long-term holders.

### Chapter Summary

MIURO’s token economy separates functions across three tokens, applies strict burn mechanisms and uses reasonable allocation and lock-up designs.

The goal is to balance incentives for early participants with protection for the long-term ecosystem, while ensuring that content creation, node contribution and user participation can all receive fair and sustainable rewards.


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