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February 20, 2026

Global

$15bn hyperscale AI infrastructure and subsea gateway in India Enhanced geothermal (EGS) ramps with 53 MW unit and 320 MW PPAs UK AI strategy backed by £1.6bn including supercomputer upgrade DOE HPC/network infrastructure enabling AI digital twins Growing linkage between firm clean power and data centre demand

Global data centres & digital infrastructure briefing (UTC 2026-02-20)

Audience: Institutional asset managers and infrastructure fund managers focused on data centres, power, and grid infrastructure.

Top news (3)

  1. India: hyperscale + subsea scale-upGoogle announces $15B India AI infrastructure investment in Vizag, centred on a “full-stack AI hub” in Visakhapatnam with gigawatt-scale compute and an international subsea cable gateway.

  2. Firming power: commercial enhanced geothermal at meaningful sizeEnhanced geothermal systems could expand U.S. geothermal power generation details Fervo Energy’s 53 MW Cape Generating Station (first large-scale commercial EGS generator in the US) and expansion-linked PPAs totaling 320 MW with Southern California Edison.

  3. UK: AI funding tied to compute upgradesUKRI launches first-ever AI Research and Innovation Strategy includes £1.6bn targeted AI funding (2026–2030) and £36m to upgrade Cambridge’s DAWN supercomputer.


Key deals & projects

India

  • Google – Visakhapatnam (Vizag): Google announces $15B India AI infrastructure investment in Vizag
    • Announced $15bn infrastructure investment in India.
    • Scope includes a full-stack AI hub intended to host gigawatt-scale compute.
    • Also includes an international subsea cable gateway.
    • Additional context from the same announcement: four new subsea systems between the US and India.

United Kingdom

  • UKRI – national AI strategy and compute: UKRI launches first-ever AI Research and Innovation Strategy
    • £1.6bn of targeted AI funding for 2026–2030 across research, skills, infrastructure and translation.
    • Includes up to £137m for DSIT’s AI for Science programme.
    • Includes £36m to upgrade Cambridge’s DAWN supercomputer.

United States (R&D / technical capability)

  • Berkeley Lab – AI-driven digital twins + DOE infrastructure: Berkeley Lab advances AI-powered digital twins across scientific domains
    • Deploying AI digital twins across multiple domains (accelerators, tsunami forecasting, chemistry, building energy systems, fusion, bioreactors).
    • Uses DOE high-performance compute and networks: NERSC Perlmutter and ESnet.
    • Notable technical programmes/models cited: StFT multi-scale AI model, BELLA beamline twin for automated alignment, DTCS for real-time chemistry experiments.

Power, grid & interconnection highlights

United States – geothermal as a firm capacity pathway

  • Fervo Energy – Cape Generating Station (EGS): Enhanced geothermal systems could expand U.S. geothermal power generation
    • Building a 53 MW unit (noted as 28 MW net summer capacity) due online June 2026.
    • Two additional 53 MW units expected January 2027.
    • Expansion-related PPAs totaling 320 MW with Southern California Edison with expansion referenced for 2028.
    • Data-centre-adjacent signal: mentions a Meta–SAGE agreement for up to 150 MW for data centers.
    • Additional pipeline/technology notes: a Rodatherm closed-loop pilot expected by January 2028; references to DOE FORGE research and Department of Defense partnerships to power military bases.

Policy & regulation

United Kingdom

  • UK AI research & infrastructure funding envelope: UKRI launches first-ever AI Research and Innovation Strategy
    • First-ever AI Research and Innovation Strategic Framework backed by £1.6bn (2026–2030).
    • Specific line items relevant to compute demand and capacity planning: DAWN upgrade funding (£36m) and AI for Science programme funding (up to £137m).

People & operations (sector workforce)


2-line wrap

Large-platform capex signals remain tightly linked to both energy firmness (EGS geothermal) and connectivity (subsea gateway + new systems). Public-sector AI funding in the UK and DOE-enabled R&D in the US continue to reinforce the compute infrastructure build-out.

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