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Definition

What is Hyperscaler?

Hyperscaler is a hyperscaler is a very large cloud company, such as Amazon, Microsoft or Google, that runs enormous data centers and rents computing power, storage and AI services to others at massive scale.

What it is

A hyperscaler is a company that operates cloud computing on a scale far beyond a typical business. The term usually refers to Amazon Web Services, Microsoft Azure and Google Cloud, and sometimes to other giants such as Oracle or Meta when they build comparable infrastructure. What sets them apart is the size of their data center fleets and their ability to add capacity quickly and cheaply.

What they do in AI

Training and running AI models takes huge amounts of compute, mostly from GPUs and custom chips. Hyperscalers buy or design those chips, house them in data centers, and rent them out. Many AI labs depend on them for the machines that train their models, and many companies reach AI models through a hyperscaler's cloud rather than directly.

Hyperscalers also build their own silicon and services. Google offers the Tensor Processing Unit, for example, and the big clouds sell hosted models and tools alongside raw hardware.

Why they matter

Three things make hyperscalers central to the AI industry:

  • Capital. They spend tens of billions of dollars a year on data centers, chips and networking, a pattern covered under AI capex.
  • Supply. Because they buy chips in bulk, they influence who gets scarce hardware and when.
  • Reach. Their customers can switch on AI services in a few clicks, which spreads new tools quickly.

Hyperscalers versus neoclouds

A neocloud is a newer company focused mainly on renting GPU capacity for AI. A hyperscaler offers a far wider catalog, including databases, storage, networking and hundreds of other services. Neoclouds often compete on specialization and availability, while hyperscalers compete on breadth and scale.

Why you should care

If you build with AI, your costs and limits are tied to hyperscaler capacity, directly or through the providers you use. Local rules about land, power and permits can shape how fast they build, and that can affect availability and prices. Keeping your app able to move between providers reduces the risk of depending on any single cloud.

Questions people ask

Which companies are hyperscalers?

The term most often means Amazon Web Services, Microsoft Azure and Google Cloud, and sometimes other very large infrastructure builders such as Oracle.

What is the difference between a hyperscaler and a neocloud?

A hyperscaler offers a broad range of cloud services at enormous scale. A neocloud focuses mainly on renting GPU power for AI.

Hyperscaler in the news

#03

OpenAI's GPT-6 models arrive on Google Cloud

Google Cloud is rolling out OpenAI's GPT-6 Astra, GPT-6.1 Sol and GPT-6 Luna in private preview, billed on your existing Google invoice and commitments. For Google Cloud shops, the procurement excuse for skipping OpenAI is gone.