TierOne ASUS HPC & AI Systems UAE | GPU Servers & NVIDIA AI POD Solutions
ASUS HPC & AI servers in Dubai from TierOne. Intel & AMD GPU servers, ASUS AI POD, and NVIDIA GB200/GB300 NVL72 rack-scale solutions for enterprise AI workloads.
ASUS HPC & AI | TierOne ASUS HPC & AI Systems Provider in UAE
TierOne brings ASUS's purpose-built HPC and AI server portfolio to enterprises across the UAE. As one of the few providers with in-house AI server design, data-center infrastructure, and software capabilities, ASUS delivers NVIDIA-certified GPU servers, MGX-based platforms, and rack-scale AI POD solutions built for the demands of large language model training, inference, and scientific computing.
From single-node GPU servers to full NVIDIA GB300 NVL72 rack-scale deployments, TierOne helps UAE organizations design, integrate, and support ASUS AI infrastructure end to end.
Server Models
ASUS GPU Servers (Intel Xeon)
ESC N8-E11 7U dual-socket NVIDIA HGX H100/H200 eight-GPU server engineered for generative AI training and HPC, with support for NVIDIA AI Enterprise.
- Dual 5th/4th Gen Intel Xeon Scalable CPUs: with a dedicated one-GPU-to-one-NIC topology supporting up to 8 NICs
- 8x NVIDIA H100/H200 Tensor Core GPUs: 4th-gen NVLink and NVSwitch for up to 900GB/s GPU-to-GPU bandwidth
- Up to 32 DDR5 DIMM slots: plus 10 hot-swappable NVMe drive bays
- Air-cooled or D2C liquid-cooling: with independent CPU/GPU airflow tunnels for efficiency
ESC8000-E11 4U eight-slot PCIe GPU server built for enterprise AI infrastructure, supporting up to 8 GPUs with NVIDIA NVLink Bridge.
- Up to 8x double-width PCIe GPUs: with NVLink Bridge for scalable performance and bandwidth
- Ready for D2C liquid cooling: reducing data-center PUE for dense GPU deployments
- NVIDIA OVX-optimized configurations available: for rendering and digital-twin workloads
ESC N8-E11 7U dual-socket NVIDIA HGX H100/H200 eight-GPU server engineered for generative AI training and HPC, with support for NVIDIA AI Enterprise.
- Dual 5th/4th Gen Intel Xeon Scalable CPUs: with a dedicated one-GPU-to-one-NIC topology supporting up to 8 NICs
- 8x NVIDIA H100/H200 Tensor Core GPUs: 4th-gen NVLink and NVSwitch for up to 900GB/s GPU-to-GPU bandwidth
- Up to 32 DDR5 DIMM slots: plus 10 hot-swappable NVMe drive bays
- Air-cooled or D2C liquid-cooling: with independent CPU/GPU airflow tunnels for efficiency
ESC8000-E11 4U eight-slot PCIe GPU server built for enterprise AI infrastructure, supporting up to 8 GPUs with NVIDIA NVLink Bridge.
- Up to 8x double-width PCIe GPUs: with NVLink Bridge for scalable performance and bandwidth
- Ready for D2C liquid cooling: reducing data-center PUE for dense GPU deployments
- NVIDIA OVX-optimized configurations available: for rendering and digital-twin workloads
ASUS GPU Servers (AMD EPYC)
ESC N8A-E12 7U dual AMD EPYC 9004-series NVIDIA HGX H100 eight-GPU server for generative AI and HPC workloads.
• Dual AMD EPYC 9004 Series CPUs: paired with 8x NVIDIA H100 GPUs on the HGX platform
• NVLink and NVSwitch interconnect: for high-bandwidth, low-latency GPU communication
ESC8000A-E13 / ESC4000A-E12 4U and 2U AMD EPYC GPU servers offering flexible PCIe GPU density for AI training, HPC, and data analytics.
- Dual AMD EPYC 9005/9004 Series CPUs: up to 24 DIMM slots and PCIe 5.0 expansion
- Up to 8 double-width GPUs (ESC8000A): supports NVIDIA H200, RTX PRO 6000 Blackwell, and AMD Instinct MI350P
- Up to 4 double-width GPUs (ESC4000A): single-socket 2U design with NVLink Bridge or Infinity Fabric Link
ESC N8A-E12 7U dual AMD EPYC 9004-series NVIDIA HGX H100 eight-GPU server for generative AI and HPC workloads.
• Dual AMD EPYC 9004 Series CPUs: paired with 8x NVIDIA H100 GPUs on the HGX platform
• NVLink and NVSwitch interconnect: for high-bandwidth, low-latency GPU communication
ESC8000A-E13 / ESC4000A-E12 4U and 2U AMD EPYC GPU servers offering flexible PCIe GPU density for AI training, HPC, and data analytics.
- Dual AMD EPYC 9005/9004 Series CPUs: up to 24 DIMM slots and PCIe 5.0 expansion
- Up to 8 double-width GPUs (ESC8000A): supports NVIDIA H200, RTX PRO 6000 Blackwell, and AMD Instinct MI350P
- Up to 4 double-width GPUs (ESC4000A): single-socket 2U design with NVLink Bridge or Infinity Fabric Link
ASUS NVIDIA MGX & RTX PRO Servers
NVIDIA MGX-Based AI Servers 4U dual-socket Intel Xeon 6 or AMD EPYC servers supporting the latest H200, RTX PRO 6000 Blackwell, and Gaudi 3 accelerators.
- Up to 8x dual-slot NVIDIA H200 or RTX PRO 6000 GPUs: with up to 32 DIMM slots and PCIe 5.0 slots
- Intel Gaudi 3 PCIe AI Accelerator support: for flexible inference and training deployments
RTX PRO Server 4U dual AMD EPYC 9005 NVIDIA RTX PRO server with ConnectX-8 SuperNICs, purpose-built for enterprise generative AI.
- 8x NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs: dual-slot design with 24 DIMM slots
- 8x 400Gb/s QSFP ports: for high-bandwidth GPU-to-GPU networking
NVIDIA MGX-Based AI Servers 4U dual-socket Intel Xeon 6 or AMD EPYC servers supporting the latest H200, RTX PRO 6000 Blackwell, and Gaudi 3 accelerators.
- Up to 8x dual-slot NVIDIA H200 or RTX PRO 6000 GPUs: with up to 32 DIMM slots and PCIe 5.0 slots
- Intel Gaudi 3 PCIe AI Accelerator support: for flexible inference and training deployments
RTX PRO Server 4U dual AMD EPYC 9005 NVIDIA RTX PRO server with ConnectX-8 SuperNICs, purpose-built for enterprise generative AI.
- 8x NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs: dual-slot design with 24 DIMM slots
- 8x 400Gb/s QSFP ports: for high-bandwidth GPU-to-GPU networking
ASUS AI POD - Rack-Scale AI Infrastructure
ASUS AI POD with NVIDIA GB300 NVL72 (XA GB721-E2) Field-proven, fully liquid-cooled rack-scale AI architecture delivering 10-petaflops-class performance for national-cloud and enterprise AI factories.
- 72x NVIDIA Blackwell Ultra GPUs + 36 Grace CPUs: rack-scale design with up to 40TB of high-speed memory per rack
- NVIDIA Quantum-X800 InfiniBand or Spectrum-X Ethernet: 100% liquid-cooled with integrated switch trays
- Purpose-built for trillion-parameter LLM training and inference: and agentic AI reasoning workloads
ASUS AI POD with NVIDIA GB200 NVL72 Rack-scale platform connecting 36 Grace CPUs and 72 Blackwell GPUs as a single NVLink domain.
- 72-GPU NVLink domain: acting as a single massive GPU for trillion-parameter model inference
- Liquid-cooled, scale-up ecosystem-ready: with proven deployment experience across sovereign and enterprise AI projects
ASUS AI POD with NVIDIA GB300 NVL72 (XA GB721-E2) Field-proven, fully liquid-cooled rack-scale AI architecture delivering 10-petaflops-class performance for national-cloud and enterprise AI factories.
- 72x NVIDIA Blackwell Ultra GPUs + 36 Grace CPUs: rack-scale design with up to 40TB of high-speed memory per rack
- NVIDIA Quantum-X800 InfiniBand or Spectrum-X Ethernet: 100% liquid-cooled with integrated switch trays
- Purpose-built for trillion-parameter LLM training and inference: and agentic AI reasoning workloads
ASUS AI POD with NVIDIA GB200 NVL72 Rack-scale platform connecting 36 Grace CPUs and 72 Blackwell GPUs as a single NVLink domain.
- 72-GPU NVLink domain: acting as a single massive GPU for trillion-parameter model inference
- Liquid-cooled, scale-up ecosystem-ready: with proven deployment experience across sovereign and enterprise AI projects
TierOne HPC & AI Deployment Services
Pre-sales consulting, workload sizing & cluster design
Rack integration, power, and liquid-cooling alignment
GPU, networking (InfiniBand/Spectrum-X), and storage configuration
Remote management setup (ASMB/iKVM) and cluster validation
Post-deployment support & Annual Maintenance Contracts (AMC)
Why Choose TierOne for ASUS HPC & AI in UAE?
Local partner for ASUS enterprise and AI infrastructure
Expertise across Intel Xeon and AMD EPYC GPU platforms
Integration with NVIDIA Blackwell, Hopper, and Grace CPU systems
Rack-scale AI POD design and liquid-cooling deployment experience
On-site delivery, installation, and AMC support across the UAE
Ready to Deploy ASUS Servers in Your Data Center?
TierOne provides scalable, high-performance ASUS rack server solutions for every enterprise need—from AI training and HPC clusters to edge virtualization and cloud infrastructure.
Contact us today to discuss your deployment or request a quote.