Infrastructure insights for enterprise AI teams
Analysis, frameworks and practical guidance on AI infrastructure costs, GPU pricing, vendor lock-in and compute strategy.
H100 vs H200 vs B200: Cost Efficiency in 2026
A practical breakdown of performance-per-dollar across the leading GPU architectures for enterprise AI workloads.
Why AI Infrastructure Debt Is Becoming a Boardroom Problem
Short-term AI infrastructure decisions are creating long-term financial exposure that finance teams are only starting to see.
What AI Vendor Lock-In Really Costs
Beyond the marketing — a clear-eyed look at the financial and operational costs of AI infrastructure dependency.
Hidden GPU Waste Inside Enterprise AI
Most enterprise AI teams are wasting significant GPU budget. Here's where it goes, and how to find it.
Cloud AI vs Dedicated GPU Infrastructure
When does the cloud premium make sense, and when should organisations consider dedicated GPU capacity instead?
The CFO's Guide to AI Compute Spend
A practical framework for finance leaders to understand, benchmark and govern AI infrastructure costs.
How AI Compute Brokers Work
What independent AI infrastructure brokers actually do, and why enterprise AI teams are starting to use them.
The Rise of Sovereign AI Compute
Data residency, jurisdictional compliance and the growing demand for AI infrastructure that stays within borders.
How to Benchmark AI Infrastructure Costs
Most organisations have no idea if they're paying a fair price for AI compute. Here's how to find out.
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