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12 min read · Free guide
The AI Infrastructure Buying Guide
How to scope AI infrastructure that actually trains and serves models — GPUs, fabric, storage, power, cooling, and software — without over- or under-buying.
What's inside
- Right-sizing GPUs to training vs. inference workloads
- Why the network fabric (not the GPU) is usually the bottleneck
- Storage and data-pipeline throughput for AI
- Power, cooling, and liquid-cooling realities at rack scale
- The software stack: orchestration, MLOps, and observability
- A procurement checklist (TAA, GPC/SAP/FAR, lead times)
Written by Uniqcli’s solution specialists for IT and procurement teams in federal, SLED, healthcare, and enterprise organizations. Need this applied to a live project? Request a quoteand we’ll scope it.
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