Everyone talks about ChatGPT and Claude like they just appeared one day. You type something, you get an answer, magic. But have you ever stopped to ask what it actually takes to make one of these things? Not the chat interface — the model itself. The thing that took months, hundreds of millions of dollars, and enough electricity to power a small town.
I’ve been curious about this for a while, partly because the numbers are genuinely hard to believe until you sit with them. So I went digging through what’s actually known — the leaked architecture details, the hardware announcements, the data center buildouts. Some of it is public, some of it is well-sourced speculation, and some of it the labs keep deliberately vague. Let me walk you through what we actually know.
Cloud computing is reshaping how the world runs software — the global market is on track to approach $1 trillion in 2026 [1], powered by AI workloads, SaaS expansion, and enterprise digital transformation. Yet if you already deploy your apps on a DigitalOcean Droplet or a similar VPS, you might be asking: do I actually need to change anything? Here is an honest, practical answer.
What Is Cloud Computing? Cloud computing is the delivery of computing resources — servers, storage, databases, networking, software, and analytics — over the internet on a pay-as-you-go basis [1]. Rather than owning physical hardware, you rent capacity from a provider and access it from anywhere. The three dominant players are AWS (~33% market share), Microsoft Azure (~23%), and Google Cloud (~12%), collectively controlling more than 60% of the global cloud infrastructure market [3].