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Hyperscale
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Hyperscale

Hyperscale data centres: facilities of typically 100 MW or more operated by major cloud providers, characterised by standardised infrastructure at massive scale.

Last refreshed: 28 June 2026 · Appears in 1 active topic

Key Question

Have AI training requirements made the original hyperscale design obsolete?

Timeline for hyperscale

#123 Apr
#122 Apr
#116 Apr

IEA: 17% growth, $700B capex run-rate

Data Centres: Boom and Backlash
#11 Apr
#11 Apr
View full timeline →
Common Questions
What is the Stargate programme and how big are its data centres?
Stargate is a US government-backed programme announced at $500bn total in January 2025, building AI hyperscale campuses; the Abilene, Texas site is partially operational at roughly 1.2 GW, with a nominal 10 GW US programme.Source: Lowdown
Why are hyperscale data centres struggling to connect to the electricity grid?
AI-era hyperscale campuses require 500 MW to 1 GW or more, exceeding what grid-connection queues can absorb in most constrained markets. In the UK, queued data centre demand reached 50 GW against a national peak of 45 GW, and US interconnection studies routinely show waits stretching beyond 2027.Source: NESO / Lowdown
How fast is hyperscale data centre electricity demand growing?
Global data centre electricity demand grew 17% in 2025, six times the 3% overall electricity growth rate, with AI-focused facilities growing approximately 50% according to the IEA's April 2026 report.Source: IEA April 2026

Background

hyperscale refers to a class of data centre designed to scale computing resources rapidly and efficiently to support massive workloads, principally public cloud services, AI training, and large-scale content delivery. The defining characteristics are size (typically 100 MW or more of IT load), standardised modular design, very high server density, and ownership by a major cloud or technology company rather than a colocation provider.

As of 2025, the five largest hyperscale operators, Amazon, Microsoft, Google, Meta, and Apple, account for the majority of global data centre investment. The IEA's April 2026 report found these five collectively exceeded $400 billion in capex in 2025, expected to rise 75% in 2026 to approximately $700 billion. Synergy Research Group tracks hyperscale facility count and capacity as a market indicator.

The AI training wave has elevated hyperscale's power and land requirements beyond what earlier designs assumed. A conventional hyperscale facility of 2018 vintage might draw 100 to 150 MW; AI-optimised hyperscale campuses of 2025 to 2026 are being designed for 500 MW to 1 GW, and the Stargate US programme involves campuses at 1.2 GW. This scale increase is the primary driver of grid-connection constraint and behind-the-meter generation demand.

More questions
How much are the big tech companies spending on data centres in 2026?
The five largest hyperscalers, Amazon, Microsoft, Google, Meta, and Apple, exceeded $400bn in combined capex in 2025; the IEA projects that will rise by 75% to approximately $700bn in 2026.Source: IEA April 2026
What is a hyperscale data centre?
A hyperscale data centre is a very large facility — typically 100 MW or more of IT load — designed and operated by a major cloud or technology company. AI training campuses of 2025-2026 are being designed for 500 MW to 1 GW, FAR larger than earlier hyperscale designs.Source: Lowdown data-centres briefing
What is the difference between a hyperscale and a colocation data centre?
A hyperscale data centre is owned and operated exclusively by one cloud company for its own workloads; a colocation facility is owned by a third party that leases space and power to multiple tenants who install their own servers.
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