AI Infra Quickstart: From Quote to Cluster in Days
Fight Club Tech Team••1 min read
aiinfrahow-to
Scope the workload
Estimate tokens/day or parameter count. This drives GPU class and interconnect needs.
Choose a deployment path
Cloud for burst, colo for steady state, hybrid for mix. Pick one for the POC to avoid thrash.
Automate the boring
Use infra-as-code, templates, and golden images; keep tickets for exceptions only.
Prove it
Run a real training or inference test that matches production behavior; measure cost and time to result.
Related Articles
AI Data Centers Explained: What Makes Them Different
A comprehensive guide to understanding AI-optimized data centers, GPU infrastructure, and what to look for when selecting capacity.
•5 min read
AI Datacenter Hub: How We Rank Providers for Real AI Workloads
Our methodology for evaluating providers across GPUs, networking, power, and deployment models.
•1 min read