8.3.1. Specialized AI Hardware

Try these first

1. 1.

   What does GPU stand for?

   Hint

   Think about how this processor is used in graphics.

2. 2.

   What are TPUs optimized for?

   Hint

   Recall that they are created specifically for certain computing processes.

3. 3.

   What does a GPU specifically excel in?

   • Parallel computations
   • Sequential tasks
   • Memory storage

   Hint

   Think of how many tasks can be managed at once with a GPU.

4. 4.

   True or False: TPUs are designed for general-purpose computing.

   • True
   • False

   Hint

   Consider what tasks TPUs are optimized for and what they might lack.

5. 5.

   Analyze the effectiveness of using FPGAs for a deep learning project compared to using a more traditional CPU setup. What are the specific advantages and potential drawbacks?

   Hint

   Consider the trade-offs between customization and simplicity.

6. 6.

   Design a scenario where using ASICs would provide a clear advantage over both GPUs and TPUs. Explain the why ASICs are the best choice in this situation.

   Hint

   Think about scenarios requiring high efficiency and dedicated functionality.