> For the complete documentation index, see [llms.txt](https://magnummeta.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://magnummeta.gitbook.io/docs/magnode/discover-magnode.md).

# Discover MagNode

## What is MagNode?

MagNode is the [distributed infrastructure layer](/docs/magnode/discover-magnode/distributed-infrastructure.md) of the MagnumMeta ecosystem.

It allows individuals and organisations to contribute computing, storage and network resources that can be used to support services operating across the ecosystem.

Rather than relying entirely on centrally managed infrastructure, MagNode creates a network of verified infrastructure providers capable of supporting different workloads where capacity is needed.

MagNodes can contribute across five core service areas:

* **Service Availability**, keeping verified infrastructure healthy and ready to accept network workloads
* **Learning & Content Delivery**, delivering courses, videos, documents and offline learning packages
* **AI Compute**, supporting workloads such as AI tutoring, inference, translation, search and agent activity
* **Knowledge Storage**, storing approved content and AI assets for the network
* **Network Synchronisation**, moving and synchronising data between MagNodes, the cloud and other parts of the network

The model is contribution-based.

Owning powerful hardware or simply keeping a MagNode online does not automatically create a reward. Infrastructure becomes economically meaningful when it delivers useful, verifiable services to the network.

Those verified services are measured through [**Infrastructure Units (IU)**](/docs/magnode/infrastructure-units-iu.md), creating the basic relationship:

**Verified Infrastructure Service → Infrastructure Units → Qualified Contribution → Infrastructure Reward**

This makes MagNode both an infrastructure product and a [participation layer](/docs/magnode/participating-in-magnode.md). People and organisations can provide resources the ecosystem needs, while MagnumMeta gains a broader infrastructure base for learning delivery, AI workloads, storage and network services.