pierreseck

Axiomos Decide – A ROI simulator for AI infrastructure (Cloud vs. On-prem)

I’m building a tool to help teams decide if they should keep burning cash on AWS/GCP or buy their own GPU clusters.

It takes real workload parameters (tokens/sec, model size, duty cycle) and models throughput/utilization to find the break-even point. The core diagnostic is free, and I generate a board-ready PDF report for $99 to help justify the CapEx/OpEx switch to CFOs.

Building this solo from Switzerland. I’d love to hear from anyone dealing with "cloud exit" for AI or struggling with GPU cost projections.

URL: https://axiomos.ai/decide

I built this tool because comparing cloud GPU pricing to buying hardware has become increasingly messy for AI workloads. I wanted a way to input real workload parameters (tokens/sec, request patterns, model size) and see where the break-even point actually is.

How it works: it models throughput and utilization, then compares current cloud pricing (AWS/GCP) against ownership costs for on-prem GPU clusters over time.

Free/Paid: the online diagnostic is free and gives the core recommendation. I charge $99 for a detailed PDF with 36-month cash-flow projections and charts, mainly for teams that need to justify decisions to a board or CFO.

I’d really appreciate feedback on the assumptions and modeling approach.