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.
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.
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.
Geothermal heat is constant. No diurnal cycle, no weather dependency — the only renewable that matches the always-on duty cycle of GPU clusters.
Power, cooling, and the data-hall are engineered as a single thermal system — sub-station to rack. No bolt-on retrofits.
Fixed-price 25-year PPAs decoupled from fuel volatility — the energy cost per token is locked at financial close.
Closed-loop wells enable dry-cooled campuses — critical for water-stressed regions like Karnataka and Tamil Nadu.
A vertically integrated platform — from sub-surface reservoir to AI-orchestrated workload. Every layer is instrumented, observable, and tuned for compute.
GPU scheduling co-optimized with reservoir output, ambient temp, and grid-feedback signals.
120 kW/rack air & liquid hybrid. Modular 5 MW PODs scaling to 100 MW+ campuses.
Waste heat recycled into ORC stage 2 generation — pushing campus PUE below 1.10.
Modular 5–20 MW Organic Rankine units — black-start capable, islandable from the central grid.
Closed-loop wells, 3–5 km depth, 160–220°C. Reservoir-twin simulated continuously by Himalia OS.
Seismic, magnetotelluric and satellite-derived heat-flux models fused into a unified earth-twin.
The control plane that closes the loop between subsurface dynamics and AI workload telemetry.
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.
Pilot AI training cluster. First commercial geothermal-powered GPU deployment in South Asia.
Regional inference + training campus. Multi-tenant, sovereign-cloud ready.
Hyperscale AI infrastructure region. Modular expansion to 250 MW per site.
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.
Eleven proprietary systems — one continuous control loop from the reservoir to the GPU. Designed by engineers from the energy, semiconductor, and cloud worlds.
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.
The unified operating system that schedules AI workloads against live reservoir output, ambient cooling load, and grid carbon intensity.
Direct-to-chip liquid cooling tied into a binary ORC stage — turning waste GPU heat into recovered electricity.
5 MW Organic Rankine modules, factory-built, trucked to site. A 100 MW campus is assembled — not constructed.
Black-start capable. Himalia campuses can operate independently of the central grid during disturbance events.
ML-augmented inversion of 24 sensor streams per well — predicting output 90 days ahead.
OCP-aligned racks, 120 kW liquid-cooled, RDMA fabric ready for trillion-parameter training.
Every megawatt-hour Himalia delivers is independently metered and disclosed. No offsets, no certificates, no asterisks.
A first-principles breakdown of what hyperscale AI demand looks like across India's seven priority compute regions.
Reservoir longevity, predictability, and the thermal contract with a GPU rack. An engineering essay.
Northfield Capital and Helios Climate lead the round to bring our Maharashtra cluster online.
Himalia works with hyperscalers, sovereign AI labs, infrastructure capital, and policy partners ready to anchor India’s next compute decade.