01
Summary
The hyperscale expansion has officially entered a new phase. Capacity is being deployed globally and simultaneously under intense time and capital pressure, causing traditional, fragmented logistics models to hit an operational wall. To protect deployment velocity and improve time to power, operators must shift their mindset.
Hosted by Data Centre Magazine in association with GXO Logistics, this webinar cuts through the noise of modern data center development. GXO industry leaders share an operator level view of global orchestration. Discover how treating your supply chain as a critical layer of infrastructure - rather than a downstream function - allows you to break down operational silos and seamlessly turn capital into live compute.
Key Talking Points
The Shift to Global Orchestration — Understand why simultaneous multi-continent expansion forces hyperscalers past regional models and how to navigate the intense time and capital pressures of modern deployment cycles.
Logistics as Critical Infrastructure — Learn how integrating supply chain partners into the earliest stages of planning breaks down operational silos, protects deployment velocity, and accelerates your overall time to power.
Protecting Capital Efficiency and Live Compute — Gain actionable strategies for coordinating planning, inventory, and compliance to mitigate risk and seamlessly transform capital investments into active, revenue-generating capacity.
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02
Session Highlights
The Breakdown of Regional Models
Discover why traditional logistics fail under simultaneous global expansion and how to adapt.
Accelerating Time
to Power
Learn how supply chain silos delay financial returns and how to turn capital into compute faster.
Early Partner
Integration
Explore the operational benefits of involving logistics experts at day zero instead of at execution.
The 18 Month CFO Playbook
Gain proactive strategies to protect your deployment pipeline and anticipate risks before they hit.
From Capital to Compute: Orchestrating Hyperscale Logistics Operations at Global Scale
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