IO · 2026-11-03 11:18 UTC

Where Should an AI Startup Actually Run Its Workloads? A Practical Framework

IO.NET publishes a framework for AI startups to choose where to run workloads, emphasizing that the decision depends on workload type, budget stage, team capacity, and compliance needs rather than simple provider rankings. The article outlines five key decision variables: workload shape (training vs. inference), budget stage (pre-seed vs. funded), DevOps team capacity, data residency/compliance requirements, and growth trajectory. It recommends a staged approach from experimentation (pre-seed/seed) through early scale (post-seed with live product) to scale (Series A+), positioning io.net as…

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