Practice Hardware Selection (4.3.1) - Design Methodologies for AI Applications

Practice: Hardware Selection

Lesson 4.3.1Design Methodologies for AI Applications

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10 questions

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6 sample questions

Question 1.
What does CPU stand for, and what is its primary function?
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Consider what a computer uses to execute commands.
Question 2.
Name one benefit of using a GPU for AI applications.
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Think about parallel processing capabilities!
3Question 3.
What is the primary use of a GPU in AI applications?
- To replace the CPU
- To handle parallel processing
- To store data
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Think about the operations that need a lot of calculations at once.
4Question 4.
True or False: TPUs are generally used for tasks outside machine learning.
- True
- False
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Focus on TPU's purpose in relation to AI workloads.
Question 5.
Design a hypothetical AI application for real-time facial recognition. Discuss how you would approach hardware selection, considering the needs and capabilities of CPUs, GPUs, and edge devices.
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Focus on skill and speed of facial recognition operations.
Question 6.
Evaluate the potential drawbacks of using only cloud-based solutions for AI applications. Consider parameters like latency, costs, and reliability.
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Think critically about the trade-offs between local processing and relying on external services.

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