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Chips
The hardware that performs the computing work.
Learn
What is a data center?
The physical site where chips, power, cooling, networking, and operations come together.
A data center is the physical facility that turns hardware into usable digital capacity. For AI, it is the place where accelerators, servers, power, cooling, networking, storage, and operations are combined so large workloads can actually run.
Not just serversBasics
A data center includes the systems required to power, cool, connect, and operate compute.
Where compute becomes realInfrastructure
Chips become usable capacity only when they are deployed inside functioning sites.
Example
A simple way to think about a data center
A GPU is like a machine on a factory floor. The data center is the factory: the building, electricity, cooling, wiring, networking, controls, and people that allow many machines to operate together.
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Power
The electricity required to run dense systems.
3
Cooling
The systems that remove heat from high-power equipment.
4
Networking
The connections that let systems work together.
5
Operations
The monitoring, controls, and people that keep the site running.
When those pieces work together, hardware becomes usable compute capacity.
Systems
What a data center includes
- Servers and accelerators that perform the computing work.
- Electrical systems that deliver reliable power.
- Cooling systems that remove heat.
- Networking that connects systems inside and outside the facility.
- Storage, security, monitoring, and operations that keep the site running.
Why it matters
Why data centers matter to AI
- AI workloads often require many accelerators to work together.
- High-density deployments need more power and more heat removal than ordinary office computing.
- The physical site determines how much capacity can be deployed, where, and how quickly.
- Data-center expansion links AI demand to land, power, construction, equipment, and utility planning.
Common mistake
A data center is not the same as compute capacity
A site can exist before it is fully useful for AI. The building may be ready, but without enough power, cooling, networking, or installed equipment, it may not yet provide the capacity buyers care about.
Shell
Building
The physical shell.
Systems
Infrastructure
Power, cooling, and networking systems.
Market
Usable capacity
What exists only when the site can support real workloads.
Keep learning
Related lessons
Infrastructure
Why power matters
Why electricity and site capacity shape AI compute markets.
Infrastructure
Why cooling matters
Why heat limits how densely AI chips can be deployed and operated.
Concept
What is AI compute?
The basic resource behind training and running AI models.