Chips, Cloud, and Data Centers

Lesson goals

• Parallel processors
• Networking, storage, and energy
• Flexible cloud compute

Core idea

The physical and software infrastructure enabling model training and inference.

1. Parallel processors: understand it in context, identify inputs and outputs, and define how the result will be verified.

2. Networking, storage, and energy: understand it in context, identify inputs and outputs, and define how the result will be verified.

3. Flexible cloud compute: understand it in context, identify inputs and outputs, and define how the result will be verified.

Practical example

Consider a real application of “Chips, Cloud, and Data Centers.” Start small, identify available data, and compare the system with a clear baseline before expanding it.

Check your understanding

1. Explain “Chips, Cloud, and Data Centers” in your own words.
2. Give one appropriate and one misleading application.
3. What risk or limitation should be monitored?