Nvidia and Google lead with $26.5B deployed; CPP Investments enters with $740M infrastructure play
## Hyperscaler Capital Deployment Accelerates
The past 96 hours logged **$27.24 billion** in hyperscaler and AI-infrastructure commitments tracked by DC Hub, concentrated in four deals: Nvidia ($25B cash + 72 MW capacity), Google ($1.6B across two transactions), CPP Investments ($740M), and AMD (30 MW). The Nvidia figure alone exceeds the full Q1 2026 disclosed total for AI-compute capex by all hyperscalers ex-Microsoft.
Nvidia's dual commitments — a $25B undisclosed deployment and a separate 72 MW capacity reservation — signal the shift from model training to inference infrastructure at scale. Google's $1.5B and $100M deals, coupled with AMD's 30 MW, confirm that every major AI stack is racing to lock power and rack space before 2027 delivery windows close. CPP's $740M entry, likely targeting yield-oriented edge or colo assets, shows institutional capital now views data-center infrastructure as a discrete allocation class.
## What It Means for Site Selection
This tempo — four material deals in 72 hours — compresses decision cycles. Markets with **excess-power scores above 65** (Cheyenne, WY at 69.5; Rural SPP at 67.2) are the only geographies that can absorb multi-hundred-MW commitments without 18+ month utility engineering. Conversely, PJM markets like Dublin, OH (excess 22.4, constraint 72.5) and European hubs (Amsterdam 13.7 excess, London 13.5) are functionally full for new hyperscale loads until substation upgrades clear in 2028.
For capacity planners: the $27B deployed this week implies roughly 400-500 MW of aggregate load if normalized by industry $/kW benchmarks ($50-70k/kW all-in for GPU-dense). That volume would fill Cheyenne's available near-term capacity twice over. Markets that can't deliver power by Q2 2027 are now off the table for this capital.
**Source:** DC Hub Data Center Power Index (https://dchub.cloud/dcpi). Updated daily.
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