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3 cards from this section. Quick, good the night before a test.
What does GPU stand for?
Think about what a GPU primarily does.
Give an example of where distributed computing is used.
Consider services that handle intensive workloads.
What is the main role of AI hardware in scalability?
Consider what the hardware is fundamentally designed for.
True or False: Distributed computing allows a single computer to perform all AI tasks.
Think about how workload efficiency is achieved.
How would you design a cloud-based AI solution for real-time data analysis, considering scalability across distributed systems?
Think about the requirements for processing and reliability.
Analyze a scenario where an AI model built on a CPU fails due to scalability issues. What corrective measures would you implement?
Consider natural bottlenecks in processing and how they can be addressed.
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