2.3.1. GPUs and Parallel Processing

Try these first

1. 1.

   What does GPU stand for?

   Hint

   Think about what the unit was originally designed for.

2. 2.

   What is parallel processing?

   Hint

   It's like multitasking but for computers.

3. 3.

   What is one main advantage of using GPUs for AI over traditional CPUs?

   • More RAM
   • Parallel Processing
   • Higher Clock Speed

   Hint

   Think about how tasks are executed.

4. 4.

   True or False: The CUDA framework allows for general-purpose computations beyond graphics.

   • True
   • False

   Hint

   Consider the versatility of GPUs.

5. 5.

   Explain how parallel processing affects the efficiency of AI model training and give an example of a scenario where it matters.

   Hint

   Consider the role of speed in competitive AI applications.

6. 6.

   Analyze the impact of Nvidia's CUDA on the accessibility of GPU computing for non-graphics applications.

   Hint

   Think about how this broadens application areas.