01 — Infrastructure thesis

Always-on energy for the AI era.

Himalia builds geothermal-powered infrastructure beneath India — delivering 24/7 baseload energy to hyperscale AI data centers, sovereign cloud regions, and the compute economy of the next decade.

Online capacity
0MW
Pilot — Maharashtra
Phase II target
0MW+
Modular AI campus
Uptime potential
0.00%
Baseload guarantee
Carbon profile
0gCO₂/kWh
Direct emissions
Scroll
Backed by · Partnered with
NORTHFIELD CAPITALHELIOS CLIMATEBHARAT COMPUTETERRAFORGEASCENT ENERGYINDIA AI ALLIANCEQUANTA CLOUDDECCAN GRIDNORTHFIELD CAPITALHELIOS CLIMATEBHARAT COMPUTETERRAFORGEASCENT ENERGYINDIA AI ALLIANCEQUANTA CLOUDDECCAN GRID
02 — Thesis

AI is the largest energy
problem of our time.

Every frontier model trained in the next decade will demand uninterrupted gigawatt-scale power. Solar drops at sunset. Wind is intermittent. Coal is incompatible with India’s climate commitments. Geothermal is the only baseload renewable that runs continuously — and Himalia is building it directly underneath the data center.

01

24/7 baseload

Geothermal heat is constant. No diurnal cycle, no weather dependency — the only renewable that matches the always-on duty cycle of GPU clusters.

02

Compute-first design

Power, cooling, and the data-hall are engineered as a single thermal system — sub-station to rack. No bolt-on retrofits.

03

Predictable economics

Fixed-price 25-year PPAs decoupled from fuel volatility — the energy cost per token is locked at financial close.

04

Zero-water cooling option

Closed-loop wells enable dry-cooled campuses — critical for water-stressed regions like Karnataka and Tamil Nadu.

03 — Platform

The Himalia stack.

A vertically integrated platform — from sub-surface reservoir to AI-orchestrated workload. Every layer is instrumented, observable, and tuned for compute.

L7

AI Workload Orchestration

GPU scheduling co-optimized with reservoir output, ambient temp, and grid-feedback signals.

TrainingInferenceSovereign
L6

Hyperscale Data Hall

120 kW/rack air & liquid hybrid. Modular 5 MW PODs scaling to 100 MW+ campuses.

Liquid-cooledTier IVOCP-ready
L5

Closed-loop Thermal Exchange

Waste heat recycled into ORC stage 2 generation — pushing campus PUE below 1.10.

PUE 1.08Dry-cooledHeat reuse
L4

Binary ORC Power Block

Modular 5–20 MW Organic Rankine units — black-start capable, islandable from the central grid.

Black-startIslandableModular
L3

Engineered Geothermal Reservoir

Closed-loop wells, 3–5 km depth, 160–220°C. Reservoir-twin simulated continuously by Himalia OS.

3–5 km160–220°CClosed-loop
L2

Subsurface Intelligence

Seismic, magnetotelluric and satellite-derived heat-flux models fused into a unified earth-twin.

Earth-twinInSARML inversion
L1

Himalia OS

The control plane that closes the loop between subsurface dynamics and AI workload telemetry.

TelemetryForecastAutopilot
04 — Capacity

Modular by design.
Hyperscale by ambition.

Himalia campuses are deployed in 5 MW PODs and stitched together at the substation — allowing a single site to grow from a 20 MW training cluster to a 100 MW+ regional compute hub without redesign.

Tier IOnline — 2026
0MW

Pilot AI training cluster. First commercial geothermal-powered GPU deployment in South Asia.

SiteMaharashtra
Wells4 × 4.2 km
PUE1.12
Tier IIUnder construction
0MW

Regional inference + training campus. Multi-tenant, sovereign-cloud ready.

SiteGujarat
Wells10 × 4.6 km
PUE1.10
Tier IIIPermit — 2027
0MW+

Hyperscale AI infrastructure region. Modular expansion to 250 MW per site.

SiteKarnataka / TN
Wells20+ × 5 km
PUE1.08
Capacity roadmap

From 20 MW pilot to 1 GW by 2032.

Online
Construction
Planned
2026
20 MW
2027
70 MW
2028
170 MW
2030
500 MW
2032
1 GW
05 — India

India will host the next
trillion tokens.

India’s data center capacity will grow 5× by 2030. Himalia is mapping the country’s geothermal corridors — from the Western Ghats to the Himalayan belt — to anchor sovereign AI compute on always-on clean power.

  • Maharashtra Corridor
    20 MW · Online · Pilot AI cluster
    Tier I
  • Gujarat Campus
    50 MW · Construction · Sovereign cloud ready
    Tier II
  • Karnataka Region
    100 MW+ · Permit 2027 · Hyperscale
    Tier III
  • Tamil Nadu Belt
    Survey · Coastal liquid-cool corridor
    Scoping
  • Himalayan Belt
    Research · High-enthalpy reservoirs
    R&D
06 — Technology

Engineered from the
subsurface up.

Eleven proprietary systems — one continuous control loop from the reservoir to the GPU. Designed by engineers from the energy, semiconductor, and cloud worlds.

Reservoir intelligence01
0 km · alluvium1 km · sediment2 km · basement3 km · granite5 km · 210°C reservoir

Earth-twin simulation

A continuous physics simulation of every reservoir Himalia operates — fused from seismic, magnetotelluric, and InSAR data. The twin forecasts thermal drawdown years before it is measurable in the field.

Control plane02

Himalia OS

The unified operating system that schedules AI workloads against live reservoir output, ambient cooling load, and grid carbon intensity.

reservoir.temp210.4°C ▲
orc.output19.8 MW ●
pue.live1.082 ●
grid.carbon0 g/kWh ●
gpu.utilization97.3% ▲
Thermal exchange03

Closed-loop cooling

Direct-to-chip liquid cooling tied into a binary ORC stage — turning waste GPU heat into recovered electricity.

Power block04

Modular ORC units

5 MW Organic Rankine modules, factory-built, trucked to site. A 100 MW campus is assembled — not constructed.

5MW5MW
Grid integration05

Islandable substation

Black-start capable. Himalia campuses can operate independently of the central grid during disturbance events.

Predictive systems06

Reservoir forecasting

ML-augmented inversion of 24 sensor streams per well — predicting output 90 days ahead.

Compute fabric07

Composable AI fabric

OCP-aligned racks, 120 kW liquid-cooled, RDMA fabric ready for trillion-parameter training.

07 — Impact

Green compute,
measured honestly.

Every megawatt-hour Himalia delivers is independently metered and disclosed. No offsets, no certificates, no asterisks.

A1
0gCO₂ / kWh
Direct operational emissions across the Himalia fleet.
A2
0.00PUE design target
Closed-loop heat reuse pushes effective PUE below industry baseline.
A3
0%Water reduction
Versus comparable evaporative-cooled hyperscale data centers.

Commitments

  • Net-positive thermal recovery on every campus by 2028.
  • 100% transparent, audit-grade emissions ledger.
  • ≥30% community workforce participation at every site.
  • Independent third-party reservoir monitoring.

Aligned with

UN SDG 7
UN SDG 9
UN SDG 13
India NDC 2030
CDP A-list
TCFD
SBTi
ISO 14001
09 — Build with us

Build the future of
AI infrastructure.

Himalia works with hyperscalers, sovereign AI labs, infrastructure capital, and policy partners ready to anchor India’s next compute decade.