Digital Realty Q1 2026 Hyperscale Market Demand and Backlog Insights

Demand and backlog signals for digital infrastructure in hyperscale markets during Q1 2026 (Digital Realty, DLR)

1) Demand signals: leasing momentum is broad, hyperscale-specific, and increasingly AI-driven

Zero-to-one megawatt plus interconnection (interconnection-led demand).

• DLR reported record zero-to-one megawatt plus interconnection signings of $98 million in the quarter and highlighted that AI-oriented requirements were 21% of zero-to-one megawatt bookings. ¹²³⁴
• Management also stated that customers are coming seeking capacity close to users and clouds and the ability to scale as requirements evolve, particularly as AI-driven workloads move from experimentation to production, and tied that environment to strong leasing activity in Q1. ²⁵
• Additionally, DLR added 116 new logos and management said enterprises and hyperscalers continued to expand across PlatformDIGITAL during Q1. ²

Greater-than-one-megawatt (hyperscale capture).

• DLR described accelerating large-AI workload migration into scaled production environments, evidenced by signings in greater-than-one-megawatt exceeding the prior three quarters (excluding the record lease). ⁶
• The quarter included DLR’s largest lease in company history: a 200 megawatt AI inference-oriented lease with a AA-rated hyperscaler in Charlotte. ⁷
• Management added concrete regional/large-deployment signals, citing 10-plus megawatt leases in Dallas, São Paulo, and Tokyo during Q1. ⁶
• DLR also reported new record activity in the one-to-three megawatt leasing band, and interconnection bookings of $186 million (+24% vs. year ago), with growth led by APAC and North America and driven by demand for bulk fiber and ServiceFabric products. ¹

AI-to-production conversion is explicitly noted.

• In Q1 discussion, management said “Demand has definitely converted from pilot to production” and pointed to AI inference-related builds (including the 200 megawatt build for inference). ⁸
• Management also described how agents are expected to be a demand multiplier (roughly 5x to 30x more tokens per task), which they characterized as a driver of additional AI demand inflection. ⁸

Takeaway on demand: Across both the interconnection-led product set and greater-than-one-megawatt hyperscale category, DLR’s Q1 signals show (i) record/near-record leasing, (ii) explicit AI orientation in bookings, and (iii) evidence of hyperscalers moving from pilot dynamics to scaled production commitments. ¹²⁶⁸⁷⁴

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2) Backlog signals: Q1 backlog reached record levels, improving visibility into 2027–2028

• Total backlog at end of Q1 reached a new record of $1.8 billion. ¹
• At DLR’s share, backlog reached a new record of $1.0 billion at quarter end, with $423 million of new bookings exceeding $204 million of commencements in the quarter. ¹
• Management explicitly tied the backlog build to improved visibility: scaling backlog is improving visibility over the long term, supporting strong, sustainable growth. ¹
• They also quantified near- and medium-term lease commencement visibility:
  • $44 million of leases scheduled to commence ratably throughout 2026,
  • $247 million in 2027,
  • $242 million in 2028 and beyond. ¹

Additional context reinforcing backlog quality.

• DLR stated it signed $193 million of renewal leases in Q1 at a blended 5% increase on a cash basis, with renewals weighted toward zero-to-one megawatt leases (over 80% of renewal activity). ¹
• Renewals at zero-to-one included $157 million of colocation renewals at 4.3% uplift, while greater-than-a-megawatt renewals dipped to $32 million at a 7.4% cash releasing spread, described as driven by deals in Vienna, London, and Silicon Valley. ¹

Takeaway on backlog: The key hyperscale backlog signal in Q1 2026 is the record $1.8B total backlog (and $1.0B at share), augmented by net booking outpacing commencements and a clearly scheduled pipeline of future commencements into 2026, 2027, and 2028+. ¹

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3) Why these are “hyperscale market” signals (not just broad data center demand)

DLR’s excerpts frame hyperscale-related demand/backlog signals through:

• Hyperscale AI inference commitments: the 200 MW AA-rated hyperscaler AI inference lease (company’s largest lease) is a direct hyperscale demand marker. ⁷
• Scale migration evidence: signings in greater-than-one megawatt indicate that large AI workloads are moving into scaled production environments. ⁶
• Interconnection + proximity requirements typical of hyperscalers: management described customer demand for capacity close to users and clouds and interconnect within/across markets, and specifically pointed to AI-driven workload evolution from experimentation to production. ²⁵
• Backlog visibility into multi-year execution: the backlog schedule that extends into 2027 and 2028+ supports that these are not purely near-term demand flukes. ¹

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Bottom line

During Q1 2026, the provided excerpts show strong hyperscale-relevant demand (record interconnection-led bookings plus large greater-than-one megawatt hyperscale leasing, including DLR’s largest-ever 200 MW AI inference lease) and material backlog escalation (record $1.8B total backlog; $1.0B at share) with quantified commencement visibility into 2026, 2027, and 2028+. ¹²⁶⁷³⁴