How does parallel computing enhance AI performance?
Parallel computing allows multiple calculations to be performed simultaneously, significantly speeding up AI processes.
Can you give me examples of AI tasks that benefit from parallel computing?
Sure! Tasks like training deep learning models, processing large datasets, and running simulations benefit greatly from parallel computing.
What are the limitations of parallel computing in AI?
Some limitations include the complexity of programming, potential bottlenecks in data transfer, and diminishing returns with too many processors.
How does parallel computing compare to traditional computing for AI?
Traditional computing processes tasks sequentially, which can be much slower for AI workloads compared to the simultaneous processing in parallel computing.
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