Compute Infrastructure
for Physical AI.
The cooling and power architecture behind physical AI must be as relentless as the workload.
Discuss Your AI Compute Needs→The compute challenge behind robotics.
Extreme Thermal Density
GB200, MI400X, and custom ASICs produce thermal loads that exceed air-cooled capacity at rack scale.
Sustained Utilization
Infrastructure must maintain thermal stability under 100% GPU utilization without throttling or downtime.
Time-to-Compute Pressure
Teams cannot wait 18 months for facility construction when competitors are already training on next-gen hardware.
High-density compute. Deploy in weeks.
Each modular block ships factory-integrated with power, closed-loop hydro-cooling, racks, and monitoring — fully wired and tested. The architecture supports both air-cooled and liquid cold-plate accelerator platforms in the same facility. Mixed workloads run as hardware generations evolve.
Built for physical AI workloads.
Sustained Thermal Stability
Closed-loop hydro-cooling maintains stable temperatures under 100% GPU utilization — no throttling, no thermal cycling.
Weeks, Not Years
Factory pre-integration eliminates site construction timelines. A complete compute environment arrives as a single deployable block.
Hardware-Agnostic Architecture
Air-cooled and liquid cold-plate platforms in the same block — the infrastructure adapts as hardware evolves.
Scale Without Redesign
Add identical blocks as compute requirements grow — from proof-of-concept clusters to full-scale training.
Modular block specifications.
Hydro-cooled accelerator platform cluster · Edge inference for autonomous systems
Build your AI compute infrastructure.
Share your workload profile and CoolSpace engineering will configure a modular solution within days.