Sheet 00 / General Arrangement
Deploy high-density GPU supercomputing and petabyte-scale storage directly at renewable energy assets. Zero carbon, zero grid delay, military-grade security.
Sovereign, mobile, and energy-efficient AI infrastructure, deployed where network capacity and traditional construction are insufficient.
Our business value
Sheet 01 / Design Thesis
Traditional data centers are slow to build, constrained by overloaded power grids, and powered by fossil fuels. GreenCore AI rewrites the playbook. We engineer modular, liquid-cooled, high-density AI nodes that deploy in weeks, not years directly at the fence line of solar, wind and hydro assets.
100% green energy
Nodes are sited inside the perimeter of the generation asset. Power flows from inverter to rack without ever touching a public grid connection.
Liquid cooling
Cold plates mounted on the die. Heat leaves the rack as liquid, not air, which is the only way 500 kW fits inside a shipping container.
24/7 managed SOC
Full data residency, end-to-end encryption and a physically hardened envelope, watched around the clock by our own security operations center.
Time-to-first-token
Indicative schedules from contract signature to production workload, assuming an energized host asset.
Sheet 02 / Product Lineup
Massive AI training, LLMs, neural networks & deep learning.
| Primary focus | AI training · LLM pre-training · deep learning |
|---|---|
| Power envelope | Up to 500 kW high-density deployment |
| Cooling | Direct-to-chip liquid, closed loop + dry-cooler array |
| Compute | NVIDIA HGX H100 / B100 / B200 |
| Platforms | Dell PowerEdge XE9680 · R760xa |
| Ambient range | −30 °C to +55 °C |
| Form factor | 40 ft high-cube ISO, skid-mounted |
Petabyte-scale archives, sovereign cloud, colocation & edge computing.
| Primary focus | Data archive · sovereign cloud · edge inference |
|---|---|
| Power envelope | Up to 240 kW optimized modular footprint |
| Storage | Dell PowerVault ME5 SAN arrays, multi-petabyte |
| Compute | Dell PowerEdge general-purpose & inference nodes |
| Deployment | Plug-and-play, road/rail/air mobile |
| Typical sites | Satellite ground stations · energy sites · enterprise hubs |
| Form factor | 20 ft ISO, single-lift |
Not every site fits a standard node. Tell us the constraint and we will engineer to it.
You describe the constraint and the workload.
We come back with a sized configuration and a schedule.
Site visit, then a fixed scope and price.
Sheet 03 / Sizing & Impact
Set the capacity you need and how the site is powered. The model returns the carbon avoided against a grid-tied build of the same size, the energy cost basis, and how much sooner the workload runs. Every assumption is listed below and open to review.
CO2 avoided per year
8 596t
Equivalent to taking 1 869 cars off the road
vs 23 232 MWh grid-tied
vs 3.48 M€ grid-tied
33 months earlier than a grid-tied build
32% less cooling & distribution overhead
This model is indicative and intended for early sizing conversations, not for contractual or financial reporting. The constants live in one block at the top of assets/js/calculator.js and are meant to be replaced with project-specific figures.
| Parameter | Value used | Basis |
|---|---|---|
| Grid carbon intensity (Bulgaria) | 370 gCO2/kWh | Ember Electricity Review |
| Grid carbon intensity (EU average) | 242 gCO2/kWh | Ember Electricity Review |
| Grid carbon intensity (Germany / Poland) | 380 / 662 gCO2/kWh | Ember Electricity Review |
| Industrial power price (Bulgaria) | 120 €/MWh | Incl. network charges & levies |
| Industrial power price (EU average) | 150 €/MWh | Incl. network charges & levies |
| Industrial power price (Germany / Poland) | 180 / 140 €/MWh | Incl. network charges & levies |
| PUE (grid-tied comparator) | 1.56 | Uptime Institute global survey |
| PUE (GreenCore node) | 1.06 | Design figure, direct-to-chip liquid |
| Generation LCOE (solar / wind / hydro) | 45 / 48 / 52 €/MWh | EU utility-scale range |
| Passenger car emissions | 4.6 tCO2/yr | US EPA equivalency |
| Comparator build schedule | 36 months | Grid-tied greenfield, incl. connection queue |
Reference design
A worked example of a single node sited at a solar park, showing how the power, cooling and connectivity fit together end to end.
Sheet 04 / Managed Service
Building next-generation AI infrastructure shouldn't create operational headaches. GreenCore AI delivers a complete turnkey managed solution.
Hardware integration, network build and liquid-cooling calibration are completed and burn-in tested in our factory, before the node ever ships.
Our NOC watches thermal levels, coolant pressure and chip performance in real time, flagging drift long before it becomes downtime.
Defended by our dedicated in-house SOC. Active threat hunting, encrypted pipelines and physical hardening protect your sovereign workloads.
Sheet 05 / Connectivity
A node needs power and a link. Power you already have, which is the whole point of siting at the generation asset. For the link, every node can be specified with a satellite uplink, so the site does not have to wait on a trench. If there is sky, there is a connection.
Hundreds of megawatts of generation, no telecom infrastructure for a hundred kilometres. The node lands next to the inverters and links up, not out.
A ship mid-ocean or an offshore rig has power and a deck. Processing telemetry and sensor data on board beats hauling raw feeds to shore.
Mines and well pads already run generation. Add compute and the site stops shipping data to a distant facility just to get an answer back.
Satellite is specified per site against the workload. Training runs that stay inside the node need very little of it; anything that streams results out continuously needs more, and that sizing is part of the site consultation.
Sheet 06 / Deployment Sectors
Keep data local.
Fully isolated, grid-independent infrastructure that satisfies strict data residency law. No shared tenancy, no cross-border replication, no external dependency on a public grid connection that can be constrained or contested.
Edge ground stations.
Real-time satellite telemetry and high-throughput downlink processing performed directly at the ground station, so raw passes are reduced to products on site instead of being hauled across a backhaul link.
Lowest-in-market LCOE.
Train massive models against the lowest levelized cost of energy on the market. Power purchased at the generation asset, not at the retail meter, and capacity that scales by adding nodes, not by rejoining a queue.
Turn spare generation into revenue.
Producers curtail power when the grid cannot take it, and remote extraction sites often sit on generation with nowhere to sell it. A node placed at the asset converts that spare output into compute capacity you can sell, without waiting on a grid upgrade or a new offtake agreement.
Heavy, sensitive or power-hungry workloads.
The same node suits any workload that is compute-heavy, data-resident or awkward to host. Healthcare and genomics, financial risk and simulation, media rendering, research and HPC, manufacturing digital twins, telecoms. If the constraint is power, latency or where the data is allowed to sit, the answer is usually the same shape.
Sheet 07 / Deployment Gallery
A node goes wherever the electricity already is: in the yard of a plant that runs its own array, on hardstanding inside an industrial estate, or straight at the substation of a wind farm, a solar park or a hydro station. The container is standard, so the site work is a slab, a tie-in and a link.
Concept visualisations. Indicative of siting and scale, not photographs of completed installations.
A Supernode in the yard of a production plant that already generates its own solar power. The compute takes the surplus behind the meter, so the plant turns generation it would otherwise export at wholesale into a higher-value load it controls.
Standing on hardstanding inside an industrial park with its own roof and ground-mounted arrays. Access roads, fencing, security and a service yard are already there, which takes most of the civil works out of the programme.
Set down beside the collector substation of an onshore wind farm. Output the network cannot take at that moment is normally curtailed and lost; here it has somewhere useful to go on the generation side of the meter.
At the edge of a utility solar park, tied in ahead of the export meter. Nothing waits on a public grid connection, because the power the node uses never reaches the public network in the first place.
On the apron of a hydro plant, where output holds steady around the clock and through the night. It is the most predictable host profile of the four, and the one that asks least of storage.
Have a site in mind? Send us the location, the generation asset and roughly how much capacity you need.
Discuss a sitingSheet 08 / Engagement
Stop waiting for grid approval. Bring your compute directly to the green power source.
This site sets no tracking or advertising cookies. It stores your language and theme choice on your device so it can remember them, and nothing else. Read the cookie policy.
Technical datasheet
Rack elevations, coolant schedule, electrical single-line, environmental envelope and logistics data for the 40 ft AI Supernode. Sent by our engineering team, usually the same working day.
Our engineering team will send the datasheet shortly. If you'd rather talk it through first, reply to that email and we'll set up a call.