AI Glossary
Cloud Computing
The delivery of computing resources such as storage, networking, and processing power over the internet.
Cloud Computing
Overview
Modern AI systems require significant computing resources.
Storage.
Networking.
Databases.
Processing power.
Security services.
Managing all of this infrastructure locally can be expensive and difficult.
Cloud computing provides an alternative approach.
Cloud computing is the delivery of computing resources over the internet rather than relying entirely on local hardware.
Instead of purchasing and maintaining physical servers, organizations can access computing resources on demand.
A helpful way to think about cloud computing is electricity.
Most businesses do not generate their own power. They access it when needed through a utility provider.
Cloud computing works in a similar way.
Organizations consume computing resources as needed rather than building everything themselves.
This flexibility has made cloud computing a critical foundation for modern AI systems.
Many AI applications, machine learning platforms, and foundation models depend on cloud infrastructure to operate at scale.
As AI adoption continues to grow, understanding cloud computing is becoming an increasingly valuable part of AI literacy.
Why It Matters
Cloud computing provides the infrastructure that powers many modern AI systems.
Real-World Example
A company may use cloud services to store data, train machine learning models, and deploy AI-powered applications.