# AI training on Distributed node

* Enables high-performance machine learning workloads by leveraging decentralized computing resources.
* Distributed compute layer that allows Al models to be trained on decentralized nodes. 
* Capable of handling large-scale machine learning workloads by leveraging the compute power of GPUs integrated with DCAl's enterprise mining devices. 
* The power distribution within the network is public and verifiable, allowing anyone to audit the storage assignments and ensure transparency. 
* DCAl adopts a system where the influence of each participant, or miner, is determined by the amount of storage they contribute to the network.

<figure><img src="https://1651227941-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6XBY9s50klprY4NtdtkD%2Fuploads%2FIu3Xya9C32xdDbAKt7z8%2Fimage.png?alt=media&#x26;token=c6fdf56a-0e59-4f92-a39c-fa9db4e1c9df" alt=""><figcaption></figcaption></figure>

* A comprehensive platform for AI training and decentralized storage that shifts operational control to community members. The DCAI network offers a distributed system for scalable and secure data and compute services.

<figure><img src="https://1651227941-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6XBY9s50klprY4NtdtkD%2Fuploads%2FBQSNT3LwmqFgFXM7laTm%2FDECK%202.0.jpg?alt=media&#x26;token=5bfc0d44-a5dc-4e21-b631-2c7b92621252" alt=""><figcaption></figcaption></figure>