> For the complete documentation index, see [llms.txt](https://docs.meshnode.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.meshnode.ai/exploring-meshchain-ai-questions-and-answers/viii.-on-sustainability-and-the-future/2.-how-does-meshnode-contribute-to-decentralized-ai.md).

# 2. How does MeshNode contribute to decentralized AI?

MeshNode supports decentralized AI by providing infrastructure for data processing and model development. Key contributions include:

* **Decentralized Data Storage and Processing:**

\-      Distributing AI data across the network for enhanced security.

* **Distributed Computing Power:**

\-      Facilitating model training using shared computational resources.

* **Enhanced Security and Privacy:**

\-      Incorporating technologies like homomorphic encryption.

* **Reducing Centralized Dependency:**

\-      Democratizing access to AI development and decision-making.

* **Incentivizing Participation:**

\-      Offering rewards to MeshNode operators.

* **Practical AI Applications:**

\-      Supporting AI on edge devices.

\-      Enabling decentralized AI apps.

* **Transparent Model Operations:**

\-      Using blockchain to track AI model development and usage.