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AI Datacenter Hub: How We Rank Providers for Real AI Workloads
Fight Club Tech Team••1 min read
aidatacenterhub
Why a Hub?
We built the Hub to make AI infra selection objective, repeatable, and fast.
Normalizing specs
We map provider offerings to comparable fields: GPU type, VRAM, fabric bandwidth, storage throughput, and power density.
Workload lenses
Training values scale-out bandwidth and time-to-train. Inference values cost-per-token and latency SLOs.
Operational reality
Quote lead times, stock volatility, RMA/onsite support, and contract flexibility all matter for outcomes.
Scoring rubric
Weights shift by workload; our published tables explain the rationale and tradeoffs.