TOPIC ARCHIVE / SMARTER BI
AI Infrastructure
Research briefs and practical guidance for building relevant, measurable, and editorially responsible content discovery.
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How to evaluate a GPU hosting quote
Check workload fit, included services, commercial terms and evidence before comparing GPU hosting prices.
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Choosing UK or European AI hosting
Turn location, data handling and deployment constraints into practical requirements for an AI hosting decision.
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What does running an AI application really cost?
Build an AI application cost model that includes compute, idle capacity, supporting services and operational work.
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Model APIs, GPU cloud or your own hardware?
Compare AI deployment options using workload constraints, operating responsibilities and explicit cost assumptions.
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Training versus inference: why infrastructure requirements differ
Translate training and inference workloads into requirements for memory, compute, latency, capacity and operations.
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From megawatts to AI workloads: what a data centre actually provides
From power and cooling to GPU capacity and managed services: a guide to what an AI infrastructure buyer is actually buying.