AI MAP / LEVEL 0 ECOSYSTEM EXHIBIT
See what makes AI possible.
Explore the whole ecosystem, then move inside the same rack, server and GPU. Drag to rotate. Open an assembly to reveal its parts.
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Illustrative geometry · not to scale · not a specific product or a literal site layout. Conceptual objects represent ideas, not removable hardware.
One ecosystem. Ten subject areas.
The rack, power equipment, cooling unit and manufacturing example are physical objects. Figures, information volumes and network forms are conceptual representations of people, data, models, applications, services and organizations.
TWO DIFFERENT WAYS TO LOOK CLOSER
Open an assembly.
Choose Rack overview, Inside the server, or Inside the GPU. Move Separate physical parts to expose the assembly, then reassemble it. The same server and GPU stay in the scene as the camera approaches.
Trace what enables it.
In the whole ecosystem, Show dependency paths reveals illustrative conceptual links. These paths are not cables or physical containment. The relationship reference explains selected connections and their evidence.
ALL TEN SUBJECT AREAS
Explore the ideas behind the objects.
People, purposes, and outcomes
What is the AI system meant to help someone do?
Applications, workflows, and agents
How does an AI capability become something people can use?
Models and model development
What is a model, and how is it developed?
Data and knowledge
Where does the information an AI system uses come from?
Computing software and services
What connects a model to the machines running it?
Chips and computing systems
What physical equipment does AI run on?
Data-center facilities and operations
What turns a building into a place for computing?
Electricity and supporting utilities
How does electricity reach an AI system?
Manufacturing and industrial supply chains
What does it take to make the equipment?
Organizations, investment, workforce, and governance
Who builds, operates and takes responsibility for AI?