What are the advantages of distributed computing in AI?
Distributed computing allows AI systems to process large datasets more efficiently by leveraging multiple machines.
Can you explain how it improves processing speed?
By distributing tasks across several nodes, distributed computing reduces the time needed for data processing and model training.
What about scalability? Is it easier to scale AI applications?
Yes, distributed computing makes it easier to scale applications by adding more nodes to handle increased workloads.
Are there any challenges associated with it?
Yes, challenges include network latency, data consistency, and the complexity of managing distributed systems.
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