Banks, hospitals, factories, and governments want to run AI on machines they own. Three forces are pushing them there.
Data sovereignty
Sensitive institutions need their data, and the models that use it, on infrastructure they control.
The cost of running AI
AI bills are growing faster than budgets. Owning the system puts that cost back under your control.
The wait for cloud capacity
Shared capacity is scarce and the queue is long. With your own compute, you do not wait on anyone else.
Today, the answer is a shrunken hyperscale data center.
To run AI on-site, the industry offers two options.
Either scale
Big data centers, resource-intensive, facing community backlash.
Or shrinking
The same design, made smaller, with the same problems.
Either way, you still bring five things before a single model runs.
Evaporative cooling draws on the local supply, every day.
Mechanical cooling plants add cost, floor space, and failure points.
Hot, humid, and remote sites are ruled out from the start.
Cooling overhead inflates the grid connection you have to negotiate.
Design, permits, and construction come before anything runs.
All five come down to one thing: heat.
GemaPOD™. A complete AI data center, without building one.
A closed loop draws nothing from the local supply.
Warm fluid is sufficient to keep the chips from overheating.
We can go anywhere large data centers cannot.
AI-driven management optimize performance.
Delivered assembled and tested, 3-6 months post-order.
A pod brings no eyesore, no noise, no water draw, so no fight to build it.
DaTEG®
Precision thermal control at the chiplet level. Heat is managed where it's made, zone by zone, instead of chased through the room.
Supervisor™
The intelligence layer. It monitors the whole system in real time and optimizes cooling power with machine learning.
Six places GemaPOD™ goes that a large data center can't.
Wherever AI has to run close to the mission, under your own control, and without the infrastructure a hyperscale facility needs.
Government AI
Sovereign AI for public agencies, on infrastructure the agency owns.
Defense
Compute that stays under national control, close to the mission.
Critical infrastructure
AI for energy, utilities, and transport, running on-site and built for uptime.
Regulated industries
Banks, insurers, and hospitals that must keep their data in house.
Remote regions
AI capacity in places with no data center, no spare water, and a harsh climate.
Research
Dedicated compute for labs and universities, without the queue.
More compute. Closer to the mission. Under your control.
Proof
Our technology already runs where failure is not an option.
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Tell us where you want to run AI. We'll show you what a GemaPOD™ looks like there.
