Keep every deployment moving — without delay
You're deploying new AI hardware fast. Iron Mountain makes sure getting old hardware out never slows you down — with secure, compliant decommissioning that keeps pace with your refresh cycles.
Gartner: Why asset recovery is becoming a bigger risk than most teams expect
AI infrastructure is moving fast. But the systems behind asset removal, data security, and recovery aren't always keeping up. Gartner's 2026 Market Guide for IT Asset Disposition looks at where teams are starting to experience that pressure, and what's changing as a result. In this report, you'll learn:
- Why data security and environmental risk are becoming critical pressure points in ITAD
- Where most teams are still exposed as asset volumes and velocity increase
- How to think through what should be handled in-house vs. by a specialist
- Why ITAD can't be treated as an afterthought in high-velocity environments
What it takes to keep AI infrastructure moving
Keeping pace with AI infrastructure means managing more than deployment alone. Hardware has to move securely, predictably, and without slowing the next cycle. That's the work Iron Mountain was built for. We clear hardware quickly, keep every asset accounted for, and return value faster — so nothing behind you slows what comes next.
Clear hardware without delay
Free up racks faster with secure decommissioning and asset processing designed for high-volume infrastructure environments.
Keep every asset accounted for
Maintain chain of custody and verified data sanitization across every handoff, location, and lifecycle stage.
Recover value before it's lost
Maximize reuse and remarketing opportunities while decommissioned assets still hold value.
Operate globally with consistency
Manage infrastructure lifecycle operations across regions with standardized processes, logistics, and reporting.
How teams keep AI infrastructure moving forward
Learn how leading teams manage lifecycle operations as infrastructure scales and accelerates, from removal to recovery to full system control.
Rethinking AI infrastructure as a continuous lifecycle
An SME perspective on how AI factories operate under constant upgrade pressure — and why lifecycle speed is becoming the real constraint.
Read perspective →Case study: Scaling infrastructure without slowing refresh cycles
Learn how a hyper-growth neocloud built a reverse supply chain to clear hardware quickly and keep deployments moving.
Read case study →Inside Iron Mountain's ITAD operations
Step inside our facilities to see how hardware is securely processed, tracked, and returned to circulation at scale.
Watch walkthrough →Datacenter and decommissioning at scale
Learn how Iron Mountain's secure ITAD and decommissioning services help free up capacity faster while maximizing recovery value.
Explore services →Rack decommissioning in action
See how Iron Mountain executes rack-level decommissioning safely and efficiently, without delaying the next cycle.
Watch video →Let's talk through how your current process handles removal, recovery, and scale.
Tell us where you are in your refresh cycle and we'll connect you with an Iron Mountain specialist within one business day.