3.2. Hardware Acceleration in AI

Try these first

1. 1.

   What does hardware acceleration refer to?

   Hint

   Think about how certain tools are designed for specific tasks.

2. 2.

   Name one type of hardware accelerator.

   Hint

   Which accelerators are commonly used for AI tasks?

3. 3.

   Which hardware accelerator is optimized for deep learning tasks?

   • CPU
   • GPU
   • TPU

   Hint

   Think about which one has 'Tensor' in its name.

4. 4.

   True or False: FPGAs are fixed-function hardware components.

   • True
   • False

   Hint

   Consider whether they can change their functions.

5. 5.

   Critically analyze the advantages and disadvantages of using GPUs versus TPUs in AI training.

   Hint

   Think about the nature of the tasks each is designed for.

6. 6.

   Design a simple question-and-answer format to explain how FPGAs can benefit real-time AI applications, like autonomous driving.

   Hint

   Focus on the need for speed and adaptability.