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.

• 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.