ADVANCE TECHNOLOGY DEPOSIT SOLUTIONS LLCMUSCAT · SULTANATE OF OMAN

[ SERVICES ]

Built for the future.

From electrical infrastructure to cooling systems, every component is optimized for maximum performance and reliability.

01 / INSIDE AN ATDS MODULE

A modular, hydro-cooled AI data center, part by part.

We build modular data centers and compute campuses capable of expanding from tens to hundreds of megawatts, hydro-cooled from the dry coolers on the roof to the cold plate on each GPU.

COOL SUPPLY WATERWARM RETURN WATERHOVER OR TAP A NUMBERCONCEPT DRAWING
  1. Dry coolerRejects heat from the water loop to outside air.
  2. Roof deckCarries the dry-cooler bank above the module.
  3. Water headersSupply and return lines leave the roof for the module.
  4. BuswayUtility-grade power distribution to every rack.
  5. Fibre & cable trayHigh-bandwidth network architecture for low-latency training.
  6. Aisle containmentAirflow-optimized aisles between the rack rows.
  7. GPU rackHigh-density rack configuration with balanced power + cooling.
  8. Server tray & cold plateDirect-to-chip liquid cooling at the GPU.
  9. Rack manifoldBrings supply and return water to each server tray.
  10. Prefabricated shellWalls and floor built for fast, repeatable deployment.
  11. RiserCarries water between the roof and the skid.
  12. CDUCoolant distribution unit: controls flow, pressure and temperature.
  13. Skid manifoldsSupply and return manifolds beneath the rack floor.
  14. Steel skidThe base of each module, placed on site and connected.

02 / WHAT WE DELIVER

01

High-density GPU infrastructure

Rack-mounted servers with status lights
[ GPU CLUSTERS ]

ATDS builds and operates advanced GPU clusters engineered for large-scale AI training, HPC workloads, and next-generation machine learning applications. Our systems are optimized for full-load performance, integrating balanced power distribution, precision cooling, and enterprise-grade reliability.

  • Multi-GPU clusters optimized for AI, LLM, and HPC workloads
  • High-density rack configurations with balanced power + cooling
  • Support for NVIDIA H100, H200, B100, and future generations
  • Enterprise-grade networking for low-latency training
  • Built for continuous 24/7 high-performance operation

02

AI & compute facility engineering

Insulated cooling-water pipes with pressure gauges
[ POWER & HYDRO COOLING ]

ATDS designs and engineers high-density compute facilities built to handle the extreme demands of modern AI and HPC workloads. From electrical infrastructure to cooling systems, every component is optimized for maximum performance and reliability.

  • Custom-designed AI/HPC-ready data hall layouts
  • Utility-grade power engineering and distribution
  • Advanced hydrocooling and airflow-optimized systems
  • Scalable designs for future hardware generations
  • Full-stack engineering: electrical, mechanical, thermal

03

Campus design & buildout

Steel frame structure under construction
[ CAMPUS BUILDOUT ]

ATDS provides full-scope engineering for compute campuses, from early-stage planning to final commissioning. We design scalable infrastructure that supports next-generation compute hardware with optimized power, cooling, and network topologies.

  • Power and cooling architecture design
  • Rack layout, airflow simulation, and density optimization
  • Electrical engineering and redundancy modeling
  • High-bandwidth network architecture
  • Full commissioning, testing, and handoff

04

Lenovo partnership

Dense, organised network cabling in a data center
[ VALIDATED HARDWARE ]

ATDS integrates Lenovo’s data-center-grade platforms across our GPU and AI compute environments to ensure maximum performance, reliability, and thermal efficiency. Through this partnership, we deploy validated server architectures, optimized power delivery, and next-generation cooling solutions engineered specifically for high-density workloads.

  • Integration of Lenovo ThinkSystem GPU-optimized servers
  • Enterprise-class power design and thermal resilience
  • Validated hardware stacks for dense compute deployments

03 / INSIDE A GPU NODE

Direct-to-chip hydro cooling for every GPU.

Our GPU environments are designed for large-language-model training, generative AI inference and multi-node distributed training, with consistent thermal and power stability during sustained compute loads.

COOL SUPPLY WATERWARM RETURN WATERHOVER OR TAP A NUMBERCONCEPT DRAWING
  1. Top coverEncloses the node inside the rack.
  2. Cold-plate assemblyOne cold plate on every GPU, fed in parallel.
  3. Supply & return manifoldCarries cool water in and warm water out of the node.
  4. Quick-disconnect couplingsDrip-free connections to the rack manifold.
  5. Cold plateMicro-channel plate that sits directly on the chip.
  6. GPUHigh-performance accelerator for AI training and inference.
  7. GPU baseboardLinks the GPUs into one node for large-scale AI workloads.
  8. Network cardsEnterprise-grade networking for low-latency training.
  9. Power suppliesRedundant power for continuous 24/7 operation.
  10. ChassisRack-mounted enclosure that slides into the GPU rack.

04 / RELIABILITY

Engineered for reliability and long-term performance.

Our systems are engineered with advanced cooling, industrial-grade electrical design, and continuous monitoring to ensure uninterrupted operation across AI and cloud workloads.

N+1 redundant power architecture

Real-time thermal and load monitoring

Automated failover systems

Enterprise-class RAS (Reliability, Availability, Serviceability) from Lenovo

Hardened, high-efficiency cooling designs

Secure, isolated infrastructure zones

05 / WORKLOADS

Ideal workloads for ATDS infrastructure.

Any workload requiring high throughput, low latency, and dense compute is a strong fit.

01

AI model training & inference

02

GPU-accelerated cloud compute

03

High-performance scientific compute

04

Data-intensive enterprise applications

06 / CONTACT

Let’s talk about your next compute deployment.

Share a few details about your AI or cloud workload, and our team will help you design the right high-density GPU infrastructure.

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