This offers several key advantages:
Distributed Compute: Instead of relying on centralized data centers, decentralized AI leverages a network of distributed nodes for processing.
Data Sovereignty: Decentralized systems prevent data from collecting in single databases, under the control of singular monolithic parties. ,
Resilience: Distributed systems are inherently more resistant to single points of failure, improving overall system robustness. This resilience is achieved through redundancy and load balancing across multiple nodes, ensuring that if one part of the network fails, the system can continue operating by redistributing tasks to other available nodes.