What Is Cloud Computing? The Five-Minute Version

Cloud computing means using someone else's computers over the internet instead of running everything on your own hardware. When you store photos on Google Drive, send emails through Gmail, or use ChatGPT, you are using cloud computing. The software and storage live on remote servers, and you access them through your browser or an app.

Why it is called "the cloud"

The term comes from network diagrams, where engineers traditionally drew the internet as a cloud shape. Everything that happened inside that cloud was someone else's problem. You sent data in and got results back without knowing (or needing to know) exactly which computers processed your request.

That abstraction is the entire point. You do not manage the servers, install updates, replace failing hard drives, or worry about power outages at the data centre. The cloud provider handles all of that. You pay for what you use and focus on your actual work.

Three types of cloud services

Software as a Service (SaaS) is the type most people use daily. Google Workspace, Microsoft 365, Slack, Zoom, and Canva are all SaaS products. You access the software through your browser, and everything runs on the provider's servers. There is nothing to install or maintain on your end.

Platform as a Service (PaaS) gives developers a place to build and run applications without managing the underlying infrastructure. Heroku, Vercel, and Google App Engine are examples. A Kenyan developer building a web app uses PaaS to deploy it without renting a physical server.

Infrastructure as a Service (IaaS) provides raw computing resources: virtual servers, storage, and networking. Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) offer IaaS. Businesses use these when they need full control over their computing environment but do not want to own physical hardware.

For non-technical professionals, SaaS is the layer you interact with. PaaS and IaaS matter primarily to developers and IT teams.

How cloud computing connects to AI

Nearly every AI tool you use runs on cloud infrastructure. ChatGPT runs on Microsoft Azure. Google's Gemini runs on Google Cloud. Claude runs on cloud servers managed by Anthropic and its partners.

The reason is simple: AI models require enormous computing power. Running GPT-4 requires specialised hardware (GPU clusters) that costs millions of shillings. No individual or small business would purchase this hardware for personal use. Cloud computing makes it possible for you to access that computing power by paying a small fee per interaction (or a monthly subscription) instead.

When you type a prompt into ChatGPT, your text travels over the internet to a data centre (likely in the US or Europe), gets processed by powerful GPUs, and the response travels back to your screen. That round trip typically takes one to five seconds, depending on your internet connection and the complexity of the request.

This dependency on cloud infrastructure explains why AI tools require an internet connection. It also explains why response times vary: during peak usage hours, the servers handling your request may be under heavier load.

Cloud computing and the Kenyan context

Kenya's relationship with cloud computing has distinct characteristics.

Internet dependency. Cloud tools require a stable internet connection. In Nairobi's CBD or Westlands, this is rarely an issue. In peri-urban and rural areas, connectivity gaps mean cloud-dependent workflows can stall. Having offline fallback options (downloaded documents, local note-taking apps) is practical planning, not pessimism.

Data location concerns. When you store business data on Google Drive or process customer information through a cloud AI tool, that data is physically stored on servers outside Kenya. For most business purposes, this is fine. For organisations subject to data protection regulations under Kenya's Data Protection Act (2019), understanding where data is stored and processed matters.

Mobile-first access. Many Kenyan professionals access cloud services primarily through smartphones. SaaS tools that work well on mobile (Google Docs, WhatsApp Business, Canva) get adopted faster than those designed only for desktop browsers.

Cost structure. Cloud services convert large upfront hardware costs into smaller monthly payments. For a Nairobi startup, paying a monthly subscription fee for Google Workspace is far more practical than buying and maintaining a local email server. This pay-as-you-go model aligns well with how Kenyan businesses manage cash flow.

What you need to know as an AI learner

Understanding cloud computing helps you understand why AI tools work the way they do. Response latency, usage limits, subscription pricing, data privacy policies, and the need for internet connectivity all trace back to the cloud infrastructure underneath.

You do not need to become a cloud computing expert. You need to know that your data leaves your device, that processing happens on remote servers, and that your experience depends on both your internet connection and the provider's infrastructure capacity.

We connect cloud computing to other foundational AI concepts in our AI Automation glossary. For related terms, see tokens (how AI measures and charges for usage) and hallucination (a limitation of cloud-based AI tools).

FAQ

Is cloud computing safe for business data?

Major cloud providers (Google, Microsoft, AWS) invest billions in security and typically offer better protection than a local server in your office. The main risk is not the cloud provider's security but your own practices: weak passwords, shared accounts, and not enabling two-factor authentication.

Can I use cloud tools without fast internet?

Many cloud tools offer offline modes. Google Docs, for example, can be edited offline and synced later. However, AI tools like ChatGPT require an active connection for every interaction because the processing happens on remote servers. Plan for connectivity gaps if you work outside major Kenyan cities.

How much does cloud computing cost?

For individual professionals, most essential cloud tools are free or low-cost. Google Workspace starts at around $7/month. ChatGPT Plus costs $20/month. Business-grade cloud infrastructure (AWS, Azure) scales from a few dollars to thousands per month depending on usage.