PolyGrid AI

AI compute.
Where power already exists.

PolyGrid turns available power and space into a distributed fleet of inference capacity—and puts the heat from compute to productive use.

Technical cutaway of a liquid-cooled PolyGrid compute appliance with rooftop satellite connectivity, power and network connections, and a recovered-heat outlet
INPUTSuitable power
and space
DEPLOYMENTPolyGrid
appliance
OUTPUT 01AI inference
capacity
+
OUTPUT 02Recoverable
heat

For AI companies

Capacity without waiting for another hyperscale campus.

Access GPU capacity and hosted models through one fleet. We handle the sites, power, cooling, routing and operations underneath.

Explore AI compute ↗

For site owners

Turn spare power and space into productive infrastructure.

Host a fully managed PolyGrid deployment without buying equipment or becoming a data-center operator.

Explore site hosting ↗

Compute + useful heat

Use the electricity twice.

Nearly all electricity used by computing equipment ultimately becomes heat. In a purpose-designed liquid-cooled installation, up to 90% can be captured and delivered for suitable uses—displacing heat the site would otherwise need to purchase.

See how heat recovery works ↗
UP TO 90%

of compute electricity recoverable as usable heat under suitable operating conditions and concurrent demand.

Why distributed

Lower cost. More resilient. Faster to add capacity.

01

Lower infrastructure cost

Standardized deployments avoid much of the physical overhead of a hyperscale campus.

02

Independent failure domains

Workloads can route across many sites instead of depending on one building.

03

Capacity added incrementally

Deploy where suitable power is ready rather than waiting for another enormous power block.

Need AI compute?

Discuss inference capacity.

Tell us about your hardware, model, capacity and delivery requirements.

Discuss capacity