Endeavour Energy and Jabil Inc. have announced a strategic collaboration to deliver modular, gigawatt-scale, just-in-time AI-ready data center infrastructure to cloud and hyperscale customers. The partnership aims to provide up to 2 gigawatts per year of elastic capacity using Endeavour’s Edged platform and Jabil’s precision manufacturing and supply chain capabilities. This new model is designed to align infrastructure deployment with real-time demand, slashing upfront capital costs and enabling faster deployment compared to conventional data center builds.
The just-in-time infrastructure approach leverages grid-agnostic designs and chip-level, non-evaporative cooling systems that are optimized for the extreme power density and performance requirements of AI workloads. Endeavour CEO Jakob Carnemark said the initiative marks a shift from large capital-intensive builds toward incremental, demand-responsive capacity expansion. Jabil’s recently announced $500 million investment in domestic AI infrastructure manufacturing is expected to support the effort, with U.S. rollout beginning in Q1 2027.
This collaboration builds on more than a dozen Edged data centers already active or under construction across North America and Europe. The new platform is expected to reduce commissioning time by up to 60% and improve time-to-revenue for cloud providers. It also enhances infrastructure adaptability amid fast-changing AI compute requirements and workload volatility.
- Modular AI infrastructure platform to deliver up to 2 GW/year
- Upfront capital reduced by up to 90% via just-in-time model
- Rollout in U.S. begins Q1 2027; existing projects span NA and Europe
- 50–60% faster deployment compared to traditional models
- Partnership combines U.S.-based innovation with Jabil’s global supply chain
“This collaboration represents the latest, and most critical, step in a 30-year journey in data center infrastructure,” said Jakob Carnemark, CEO of Endeavour. “Our just-in-time model shifts the industry… toward a more precise, incremental, and demand-driven approach.”
