Capability 01 — Infrastructure
The physical layer AI runs on.
GPU servers don't plug into thin air. They need power, cooling, racks, fiber, and a room engineered to keep them running. We build that layer — from civil works to production cluster.
Process
The build, step by step.
Assessment
We inspect your facility. Power capacity, cooling capability, physical space, network infrastructure. We tell you what's ready, what needs work, and what it will cost.
Design
Power layout. Cooling architecture (air, liquid, or hybrid). Rack configuration. Network topology. Designed for your specific GPU hardware and workload. No generic templates.
Procurement
We source the hardware — GPU servers, networking gear, power equipment, cabling. NVIDIA H100, H200, B200. AMD MI300X. Dell, HPE, Supermicro. We buy it. You own it.
Build
Civil works. Electrical. Cooling installation. Structured cabling. Rack mounting. Server installation. GPU configuration. One crew, one schedule, one point of contact.
Handoff
Documentation, training, remote management setup. You have a running AI cluster. We can walk away — or stay and operate it through Managed Services.
Hardware
Hardware guide.
| GPU | VRAM | Best for | Notes |
|---|---|---|---|
| NVIDIA H100 | 80 GB | Inference, fine-tuning | Industry standard. Most open-weight models run on 2–4× H100. |
| NVIDIA H200 | 141 GB | Large model inference | 1.8× more VRAM than H100 — fewer GPUs per model. |
| NVIDIA B200 | 192 GB | Frontier open-weight, training | Blackwell architecture. Maximum throughput. |
| AMD MI300X | 192 GB | Inference, cost efficiency | Best price-to-VRAM ratio. ROCm support maturing fast. |
Scope
What's included.
Power
AC and DC distribution, backup, surge protection, load balancing. Designed for GPU density (10–30 kW per rack).
Cooling
Air and liquid cooling. H100/H200/B200 clusters generate heat. We design for sustained load.
Racks & enclosures
Structured cabling, cable management, physical security.
Fiber & networking
Inside plant fiber, 200/400 Gb/s interconnects for multi-node GPU clusters. RDMA-capable fabrics for AI training.
GPU servers
Procurement, installation, configuration. We source, you own.
Remote management
BMC, IPMI, out-of-band access. We monitor before the OS boots.
Ownership
Own it. Or let us run it.
We build the infrastructure. You own it — the hardware, the facility, everything. If you want us to operate it after handoff — monitoring, updates, security, optimization — that's our Managed Services →. One team across both.
Grid monitoring that never leaves the building.
A utility company in Puerto Rico needs AI for grid monitoring. Data cannot leave the premises — regulators require in-jurisdiction processing. We design the power layout, install the GPU servers, configure the networking, and deploy the model. One contract, one team.
Contact
Does your facility have what AI hardware needs?
We'll assess your space, power, and cooling. Tell you what's missing. Tell you what it costs. No commitment.
Schedule an infrastructure assessment →