Cloud

Cloud is a method of renting a server over the Internet rather than purchasing it directly. Most AI learning and services run in the cloud.

Cloud is a method of renting computer resources such as servers and storage space as needed through the Internet instead of purchasing them directly. It is the same principle as drawing electricity from a power company instead of installing a generator in each house, so you pay for what you use.

Because of the advantage of being able to increase or decrease resources when needed without an initial investment, it has become the standard for IT infrastructure, and AWS, Microsoft Azure, and Google Cloud are representative operators. Because AI learning requires large quantities of expensive GPUs, most of today's AI learning and services run on the cloud.

Because the benefits of the AI boom are concentrated on cloud operators, the growth rate of the cloud sector in big tech performance news is sometimes read as an indicator of AI demand. On the other hand, issues of dependence on specific companies and data sovereignty are also discussed.

✅ Why it matters

• It is cost-efficient as it borrows only as much as needed without an initial investment
• Resources can be increased or decreased immediately according to demand
• It is the key to understanding infrastructure competition and big tech performance in the AI industry

⚠️ Limits and debates

• As usage increases, it can become more expensive than directly holding it.
• If you become dependent on a specific company, there is a lock-in problem that increases the transfer cost.
• There are security and regulatory issues due to outsourcing the data.