Bare-Metal Truth:

Inside AI Infrastructure & Enterprise Compute

Training vs Inference Infrastructure: Two Jobs, One Budget

Data center energy constraints map showing distributed GPU infrastructure across 200 global locations 2026

The Power Problem: How Data Center Energy Constraints Are Reshaping AI Infrastructure

AI compute market 2026 — global node network visualisation showing $725B in Big Tech AI capex

AI Compute Market 2026: What the Numbers Actually Show

Enterprise GPU Strategy in 2026: Separating Training, Inference, and Burst Compute

The EU AI Act Compliance Countdown: Key Infrastructure Considerations for August 2

Enterprise AI infrastructure ROI: three benchmark framework showing deployment speed, pricing variance, and configuration control as predictors of AI project success

Why Infrastructure Is the True Force Multiplier in Enterprise AI

Hidden cost of cloud GPUs: diagram showing egress fees, virtualization overhead, and reserved instance complexity adding up to 2 to 3 times the headline GPU hourly rate

Axe Compute Closes $260M Enterprise Contract — The Largest Since Entering the Compute Business

Axe Compute Strategic Compute Reserve Dashboard showing reserve value, ATH holdings, share count, mNAV, and unlock schedule

Axe Compute Debuts Strategic Compute Reserve Dashboard Connecting Capital to GPU Deployment Capacity

GPU selection guide for enterprise AI workloads: workload-to-hardware match table comparing H100 training clusters and L40S inference GPUs for CTOs and infrastructure leaders

How to Choose the Right GPU for Your Business: What CTOs and AI Infrastructure Leaders Actually Evaluate

Bare-Metal Truth: Axe Compute editorial blog on enterprise GPU infrastructure, bare metal cloud, and AI compute strategy across 200+ global locations

The Hidden Cost of Cloud GPUs: What Your Hyperscaler Isn’t Telling You