AI Data Center Infrastructure

AI Data Center Infrastructure —
Purpose-Built for the GPU Era

From edge inference to hyperscale GPU clusters — prefabricated, liquid-cooled, globally shipped, and operational in 120 days.

40ft containerized AI data center with liquid-cooled GPU racks — 3D isometric render showing cutaway interior with blue coolant pipes and server rows

Your AI Infrastructure Shouldn't Be the Bottleneck

The GPU revolution has outpaced traditional data center design. H100 and B200 GPUs demand power densities that break conventional cooling limits — and construction timelines that can't keep up with AI's speed of innovation.

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2–3 Years to Build

Traditional data centers require 24–36 months from planning to commissioning. By the time your facility is ready, your GPU architecture is already a generation behind.

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Air Cooling Hits a Wall at 25kW

Forced-air cooling simply cannot remove heat fast enough beyond 25kW per rack. NVIDIA H100 clusters routinely exceed 40kW — and B200 pushes past 100kW. Air cooling is no longer an option.

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$50M+ Before the First GPU

Conventional construction demands massive upfront capital — land acquisition, permits, civil works, MEP infrastructure — all before you rack a single server. This delays ROI and ties up capital for years.

There's a better way. ⬇

The Soeteck AI Infrastructure Platform

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Prefabricated & Containerized

Every Soeteck AI data center is factory-built inside standard ISO shipping containers. 95% pre-assembled, tested at our factory, then shipped worldwide. Plug in power, network, and water — compute starts.

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Integrated Liquid Cooling

Direct-to-chip cold plate technology removes heat at the source. Integrated Coolant Distribution Units (CDUs) handle up to 1.5MW of thermal load per module. PUE as low as 1.08.

High-Density Power Distribution

From medium-voltage switchgear to intelligent rack PDUs — engineered for 40–120kW per rack. Modular Li-Ion UPS, 800A busway, per-outlet metering.

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GPU-Agnostic Architecture

No vendor lock-in. Full support for NVIDIA H100/H200/B200, AMD MI300X, Huawei Ascend 910B/C, and Intel Gaudi. Choose the GPU that fits your workload and budget.

One Platform. Three Configurations. Infinite Scale.

AI-Edge: 20ft containerized data center for edge AI inference, 80-200kW

AI-Edge — Edge Inference

  • Container: 20ft ISO Standard
  • Power: 80–200 kW total
  • GPU Capacity: 8–16 GPUs (L40S, A10, A100)
  • Cooling: Air-cooled standard, liquid-cooling optional
  • Rack Density: Up to 30 kW/rack
  • PUE: 1.15–1.25
  • Deployment: 60–90 days
  • Best For: Edge AI inference, smart manufacturing, telecom 5G edge, retail AI
Inquire About AI-Edge →
AI-Core: 40ft containerized AI data center for GPU training, 300-600kW, liquid-cooled

AI-Core — Training & Fine-Tuning

  • Container: 40ft High-Cube ISO Standard
  • Power: 300–600 kW total
  • GPU Capacity: 32–64 GPUs (H100, H200, B200, MI300X)
  • Cooling: Direct-to-chip liquid cooling (CDU integrated)
  • Rack Density: Up to 100 kW/rack
  • PUE: 1.08–1.15
  • Deployment: 90–120 days
  • Best For: Enterprise LLM training, AI model fine-tuning, university research clusters
Inquire About AI-Core →
AI-Flex: modular AI data center campus with 8 interconnected 40ft containers for hyperscale GPU clusters up to 20MW

AI-Flex — Hyperscale Clusters

  • Configuration: 4–20+ interconnected 40ft modules
  • Power: 2–20 MW total
  • GPU Capacity: 256–2,048+ GPUs
  • Cooling: Centralized liquid cooling with distributed CDUs + optional immersion modules
  • Rack Density: Up to 120 kW/rack
  • PUE: < 1.10 (1.03 with immersion)
  • Deployment: 120–180 days
  • Best For: Hyperscale AI training, AI cloud service providers, national AI computing centers
Inquire About AI-Flex →

Cooling That Keeps Pace With GPUs

The physics is simple: liquid coolants offer over 3,000× more heat removal capacity per unit volume than air. Every hyperscaler is transitioning to liquid cooling. The only question is how fast.

Direct-to-Chip Cold Plate

Direct-to-chip liquid cooling is the workhorse of modern AI infrastructure. Cold plates mount directly onto GPU and CPU heat spreaders, circulating a dielectric coolant through micro-channel fins to remove heat at the source.

  • Removes 85–90% of GPU heat at the cold plate — fans handle the remaining 10–15%
  • Supports rack densities up to 120 kW in a standard 42U enclosure
  • Uses PG25 propylene glycol coolant — non-conductive, non-toxic, freeze-protected
  • Proven technology: deployed in Top500 supercomputers and hyperscale AI clusters
  • Retrofittable: existing air-cooled racks can be upgraded with minimal downtime
  • In-Row CDU: 300 kW/unit · Room-Level CDU: 800–1,500 kW/unit
  • Redundant pump configurations (N+1 or 2N) with SNMP/Modbus remote monitoring

Single-Phase Immersion Cooling

For the highest-density deployments, single-phase immersion cooling submerges entire GPU servers in a dielectric fluid that absorbs heat 1,200× more efficiently than air.

  • PUE as low as 1.03 — the most efficient cooling method available
  • Eliminates all server fans — reduces server power consumption by 10–15%
  • Uniform cooling across all components — no hot spots
  • Silent operation — no fan noise
  • Dielectric fluid is non-corrosive and lasts 10+ years without replacement
  • Available as a dedicated immersion module within the AI-Flex platform

Why Air Cooling Falls Short

Air has a volumetric heat capacity of ~1.2 kJ/m³·K. Liquid coolants offer 3,500–4,200 kJ/m³·K — over 3,000× more heat removal capacity per unit volume.

  • Air cooling: practical ceiling at 20–25 kW per rack with hot-aisle containment
  • Direct-to-chip liquid: comfortable at 60–120 kW per rack
  • Immersion cooling: capable of 100+ kW per rack with no derating
  • GPU power trajectory: H100 (700W) → B200 (1,000W) → Rubin (1,500W+) makes the decision clear
Technical cutaway diagram of direct-to-chip liquid cooling cold plate on GPU processor with coolant flow visualization Comparison infographic of three data center cooling methods: air cooling 20-25kW, cold plate liquid 60-120kW, immersion 100+kW

Power Delivery Engineered for GPU Density

GPU clusters don't just need more power — they need power delivered differently. Our integrated power distribution chain is designed from the ground up for high-density, mission-critical AI workloads.

AI data center power distribution flow: MV Switchgear → Transformer → LV Switchboard → Busway 800A → Rack PDU → GPU Server

Modular UPS

Li-Ion battery technology, N+1 or 2N redundancy, 98% efficiency in eco-mode. Scalable from 100kW to 2MW per module. Hot-swappable battery modules with integrated Battery Management System (BMS).

Plug-In Busway

160A–800A overhead busway with tap-off boxes every 600mm. Eliminates under-floor cabling complexity. Hot-swappable tap-offs allow adding or relocating GPU racks without shutdowns.

Intelligent Rack PDU

Per-outlet power metering (±1% accuracy), remote outlet switching, integrated environmental sensors (temperature, humidity, door contact). SNMP v3 + REST API for integration with DCIM and BMS platforms.

From Order to Online — In 120 Days

Month 1

Design Freeze

Requirements confirmed. GPU selection finalized. Power design signed off.

Month 2

Factory Build & FAT

Container fabricated. Cooling CDU integrated. Full system tested at our factory.

Month 3

Ocean Freight

Port-to-site logistics managed. Customs clearance handled by our global freight partners.

Month 4

Commission & Go Live

Plug in power, network, water. Acceptance testing. Operator training. Compute starts.

Traditional DC Construction
24–36 months
Soeteck AI DC Deployment
90–120 days

Built in China. Deployed Worldwide.

Soeteck AI data centers are purpose-designed for global logistics. Built into standard ISO shipping containers, they travel on existing freight infrastructure — container ships, flatbed trucks, and cargo aircraft.

Every unit undergoes full factory acceptance testing (FAT) before leaving our facility. When it arrives at your site, it's ready to commission — not assemble.

  • ISO 668 standard container form factor — compatible with global shipping
  • Standard 40ft units: 12.2m × 2.44m × 2.9m (L×W×H)
  • Weight: 18–25 tons fully loaded (within standard crane limits)
  • Ocean freight: 30–45 days (Asia → Middle East / Europe / Africa)
  • Air freight available for urgent deployments
  • On-site commissioning team travels with or ahead of the unit
  • Remote monitoring activated before shipment
🇸🇦 Saudi Arabia 🇶🇦 Qatar 🇪🇬 Egypt 🇳🇵 Nepal 🇻🇺 Vanuatu 🇫🇷 France
World map showing Soeteck AI data center deployments across Saudi Arabia, Qatar, Egypt, Nepal, Vanuatu, and France with global shipping routes

Trusted by Enterprises, Governments, and Telecoms Worldwide

AI Data Center — Frequently Asked Questions

Our direct-to-chip liquid-cooled containers support up to 120 kW per rack. Immersion cooling modules support 100+ kW per rack with no derating. Air-cooled configurations are available up to 25 kW per rack for lighter workloads.

Our infrastructure is GPU-agnostic by design. We support NVIDIA H100, H200, B200 (NVL72), AMD MI300X, Huawei Ascend 910B/C, and Intel Gaudi 3. Power shelves and cold plate mounting kits are customized to your chosen GPU platform.

90–120 days from order to commissioning for standard configurations up to 5 MW. Custom configurations and hyperscale AI-Flex deployments may take 120–180 days. This compares to 24–36 months for traditional data center construction.

We implement a defense-in-depth approach: (1) negative-pressure coolant loops (fluid is drawn back into the system on any breach), (2) rope-style leak detection cables along all pipe runs, (3) stainless steel drip trays under all connections, (4) 24/7 monitored conductivity sensors with automatic shutoff valves, (5) non-conductive PG25 propylene glycol coolant that won't damage electronics on contact.

Direct-to-chip liquid cooling: PUE 1.08–1.15 depending on climate. Immersion cooling: PUE as low as 1.03. Both figures assume free cooling with dry coolers where climate permits.

Yes. Our containers are rated for ambient temperatures from -40°C to +55°C (-40°F to +131°F). We have deployed successfully in Middle Eastern desert environments (Saudi Arabia, Qatar, Egypt) and tropical island conditions (Vanuatu). Each deployment includes climate-specific cooling configurations.

Yes. Our global commissioning team travels to your site for installation supervision, system startup, acceptance testing, and operator training. We also offer optional annual maintenance contracts with remote monitoring (24/7 NOC), preventive maintenance visits, and emergency response SLAs.

Ready to Power Your AI Infrastructure?

Tell us about your AI workload. We'll design the infrastructure. Delivered in 120 days. Anywhere in the world.