What are the differences between Edge AI and Cloud AI?
Edge AI processes data locally on devices, while Cloud AI relies on centralized data centers for processing.
What are the advantages of using Edge AI?
Edge AI offers lower latency, reduced bandwidth usage, and enhanced privacy since data is processed locally.
Are there any disadvantages to Edge AI?
Yes, Edge AI can have limited computational power and may struggle with complex tasks compared to Cloud AI.
In what scenarios is Cloud AI preferable?
Cloud AI is preferable for tasks requiring extensive computational resources, like large-scale data analysis or machine learning.
Can Edge AI and Cloud AI work together?
Absolutely! They can complement each other, with Edge AI handling real-time processing and Cloud AI managing heavy workloads.
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