Data Centres & Compute
Data centres move information as much as they compute it.
Information moves constantly between storage, memory, accelerators and networks. The volume that has to move is itself a growing constraint on cost and energy.
Why we are relevant
A more efficient structural representation of information can reduce the volume that must be stored, moved and processed — influencing infrastructure efficiency across the stack.
How the architecture fits
One system view.
Reducing information movement upstream may reduce demands downstream — GH is an information-efficiency architecture, not a data-centre energy-management product.
Potential applications
Concrete environments.
Relevant GH technology
Pilot opportunity
What a pilot would test.
- Memory pressure
- Network traffic
- Data movement
- AI inference workloads
- Model distribution
- Edge-to-cloud information flows
Strategic relevance
Infrastructure operators and cloud providers can evaluate information efficiency as a lever on cost, capacity and energy.
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