Hardware Options for AI Applications Article

Hardware Options for AI Applications Article Quiz

100 Coins

Read the article FPGA vs. GPU vs. CPU - hardware options for AI applications and take the quiz below to test the knowledge you gained. You'll need to answer 3 of 4 questions correctly to get your activity code. Don't fret - you can take the quiz as many times as you need to get it right!

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1. Fill in the blank. FPGAs are fundamentally different from GPUs and CPUs because their circuitry is ____________*

Power-efficientNot hard-etchedCannot be defined as an integrated circuit

2. What is a significant trade-off for using CPUs to train neural networks*

SizeWeightTimeCost

3. Of the 3 hardware solutions, which 2 are most ideal for AI due to their ability to parallel process an intensive amount data? Select 2*

FPGAGPUCPU

4. Fill in the blank. Where FPGAs, GPUs and CPUs may not be viable options, TinyML using MCUs is rising in popularity. One benefit of using TinyML is the ability to perform __________ data analysis.*

LocalCloud-based

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