# Data Center daily digest — 14 Oct 2026

Two data center releases appeared on 14 October. EdgeConneX entered Australia through a 50-50 joint venture with Stockland to build hyperscale campuses in Sydney and Melbourne, with 450 MW of power secured for an initial phase. Vertiv and Deloitte's Center for Integrated Research published a guide to help enterprises match AI workloads to suitable physical infrastructure as they move from pilots to production.

Source-local date: Wednesday 14 October 2026 (America/Los_Angeles). 2 release(s). Canonical: https://mediarelease.co/digests/data-center/2026-10-14/

## Releases

### [EdgeConneX Enters Australia in Partnership with Stockland, with Hyperscale Data Center Campuses Planned in Sydney and Melbourne](https://mediarelease.co/us/mr01985-edgeconnex-enters-australia-in-partnership-with-14102026.html)

Issued by: EdgeConneX · Original source: https://www.edgeconnex.com/news/press-releases/edgeconnex-enters-australia-in-partnership-with-stockland-with-hyperscale-data-center-campuses-planned-in-sydney-and-melbourne/

EdgeConneX entered the Australian market through a 50-50 joint venture with Stockland (ASX: SGP) to develop, own and operate hyperscale data center campuses, starting in Sydney and Melbourne. The partners said they have secured 450 MW of power for an initial portfolio and are progressing further applications and planning. EdgeConneX appointed Chris Maher as Managing Director for Australia and joined Data Centres Australia as a principal member.

### [Vertiv helps enterprises move from AI pilots to production](https://mediarelease.co/us/mr01947-vertiv-helps-enterprises-move-from-ai-pilots-to-production-14102026.html)

Issued by: Vertiv · Original source: https://www.vertiv.com/en-us/about/news-and-events/corporate-news/2026/vertiv-helps-enterprises-move-from-ai-pilots-to-production/

Vertiv and Deloitte's Center for Integrated Research introduced a Designing Infrastructure for Enterprise AI Guide, developed with STL Partners, to help enterprises match AI workloads to suitable physical infrastructure. The framework covers six workload archetypes and four models-from Edge AI Cluster to High-Density AI Cluster-and stresses early checks of power, cooling, connectivity and facility readiness. Vertiv said the guide is meant to reduce deployment risk as organizations move AI from pilots into production.

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