Practice Specialized Hardware For Ai Tasks (5.3.1) - Techniques for Optimizing Efficiency and Performance in AI Circuits

Practice: Specialized Hardware for AI Tasks

Lesson 5.3.1Techniques for Optimizing Efficiency and Performance in AI Circuits

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8 questions

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6 questions · about 4 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does GPU stand for?
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Think about what graphical processing involves.
Question 2.
Which company developed TPUs?
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This is the same company known for search and cloud services.
3Question 3.
What is the primary advantage of using GPUs for AI tasks?
- They are always cheap
- They allow for parallel processing
- They can replace CPUs
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Consider how tasks in AI often require simultaneous computations.
4Question 4.
True or False: ASICs are general-purpose processors.
- True
- False
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Reflect on the meaning of 'application-specific' as it relates to ASICs.
Question 5.
Design a hypothetical AI application for an autonomous vehicle. Which specialized hardware would you choose and why?
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Consider real-time processing requirements and the nature of the computations involved.
Question 6.
Evaluate the trade-offs between ASIC and FPGA for a startup developing an AI application focused on facial recognition.
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Think about the balance between flexibility in development vs. efficiency in deployment.

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