TierOne NVIDIA DGX & HGX AI Systems UAE | H100, H200, B200, B300, GB200/GB300 NVL72
NVIDIA DGX and HGX AI systems in Dubai from TierOne. DGX H100, H200, B200, B300, GB200/GB300 NVL72, DGX Station, DGX Spark & DGX SuperPOD for enterprise AI and HPC.
NVIDIA DGX & HGX AI Systems | TierOne NVIDIA AI Systems Provider in UAE
TierOne delivers the complete NVIDIA DGX and HGX portfolio across the UAE, from single-node development systems to rack-scale AI factories. NVIDIA DGX systems are turnkey, NVIDIA-engineered AI supercomputers with a fully validated hardware and software stack, while HGX is the GPU baseboard platform that powers partner-built servers from Dell, HPE, Lenovo, Supermicro, and ASUS. Together they cover every stage of enterprise AI, from LLM fine-tuning on the desktop to trillion-parameter model training at data-center scale.
Whether you're standing up a research cluster, scaling inference for production AI, or building a national AI factory, TierOne helps UAE organizations select, deploy, and support the right NVIDIA DGX or HGX platform.
NVIDIA DGX H100 & DGX H200
DGX H100 The 4th-generation DGX server, built with 8 NVIDIA H100 GPUs, remains widely deployed for enterprise AI training and HPC workloads.
- 8x NVIDIA H100 Tensor Core GPUs: 640GB total HBM3 memory with up to 3TB/s bandwidth
- Dual Intel Xeon Platinum 8480C CPUs: 2TB system memory, 8U rackmount chassis
- 400Gb/s InfiniBand via ConnectX-7: dual NVIDIA BlueField-3 DPUs for accelerated networking
DGX H200 Nearly doubles GPU memory over the DGX H100, ideal for medium to large enterprises scaling generative AI and deep learning.
- 8x NVIDIA H200 GPUs with HBM3e memory: 141GB per GPU, 1.1TB+ total GPU memory
- 8TB/s memory bandwidth per GPU: for faster training on larger batch sizes
- 10x NVIDIA ConnectX-7 adapters: up to 400Gb/s InfiniBand or Ethernet each, 1TB/s total fabric bandwidth
DGX H100 The 4th-generation DGX server, built with 8 NVIDIA H100 GPUs, remains widely deployed for enterprise AI training and HPC workloads.
- 8x NVIDIA H100 Tensor Core GPUs: 640GB total HBM3 memory with up to 3TB/s bandwidth
- Dual Intel Xeon Platinum 8480C CPUs: 2TB system memory, 8U rackmount chassis
- 400Gb/s InfiniBand via ConnectX-7: dual NVIDIA BlueField-3 DPUs for accelerated networking
DGX H200 Nearly doubles GPU memory over the DGX H100, ideal for medium to large enterprises scaling generative AI and deep learning.
- 8x NVIDIA H200 GPUs with HBM3e memory: 141GB per GPU, 1.1TB+ total GPU memory
- 8TB/s memory bandwidth per GPU: for faster training on larger batch sizes
- 10x NVIDIA ConnectX-7 adapters: up to 400Gb/s InfiniBand or Ethernet each, 1TB/s total fabric bandwidth
NVIDIA DGX B200 & DGX B300 (Blackwell)
DGX B200 NVIDIA’s Blackwell-generation DGX system, doubling compute to 72 PetaFLOPS FP8 with major architectural gains over Hopper.
- 8x NVIDIA B200 GPUs: 1.4TB total GPU memory, 5th-gen NVLink at 1.8TB/s per GPU
- Strong FP64 support retained: suited to HPC and scientific computing alongside AI training
- Air-cooled or liquid-cooled configurations: for flexible data-center deployment
DGX B300 (Blackwell Ultra) NVIDIA’s reasoning-optimized AI system, purpose-built for large-context inference and next-generation generative AI.
- 8x NVIDIA B300 (Blackwell Ultra) GPUs: 2.3TB total GPU memory, 288GB HBM3e per GPU
- Up to 15 PFLOPS FP4 compute: roughly 11x faster inference and 4x faster training vs. Hopper-based DGX
- 8x ConnectX-8 SuperNICs + 2x BlueField-3 DPUs: mandatory direct liquid cooling for sustained performance
DGX B200 NVIDIA’s Blackwell-generation DGX system, doubling compute to 72 PetaFLOPS FP8 with major architectural gains over Hopper.
- 8x NVIDIA B200 GPUs: 1.4TB total GPU memory, 5th-gen NVLink at 1.8TB/s per GPU
- Strong FP64 support retained: suited to HPC and scientific computing alongside AI training
- Air-cooled or liquid-cooled configurations: for flexible data-center deployment
DGX B300 (Blackwell Ultra) NVIDIA’s reasoning-optimized AI system, purpose-built for large-context inference and next-generation generative AI.
- 8x NVIDIA B300 (Blackwell Ultra) GPUs: 2.3TB total GPU memory, 288GB HBM3e per GPU
- Up to 15 PFLOPS FP4 compute: roughly 11x faster inference and 4x faster training vs. Hopper-based DGX
- 8x ConnectX-8 SuperNICs + 2x BlueField-3 DPUs: mandatory direct liquid cooling for sustained performance
NVIDIA DGX GB200 NVL72 & DGX GB300 NVL72
DGX GB200 NVL72 A rack-scale AI factory connecting 36 Grace CPUs and 72 Blackwell GPUs as a single NVLink domain for trillion-parameter models.
- 72x NVIDIA Blackwell GPUs + 36 Grace CPUs: 5th-gen NVLink at 1.8TB/s GPU-to-GPU bandwidth
- 5TB HBM3e shared memory: liquid-cooled rack-scale design acting as a single massive GPU
- Scales via DGX SuperPOD: into multi-rack clusters of thousands of GPUs
DGX GB300 NVL72 The Blackwell Ultra rack-scale successor, engineered for AI reasoning and agentic AI at exascale.
- 72x NVIDIA Blackwell Ultra GPUs + 36 Grace CPUs: up to 40TB of high-speed memory per rack
- NVIDIA Quantum-X800 InfiniBand or Spectrum-X Ethernet: 100% liquid-cooled with integrated switch trays
- Up to 65x more AI compute than Hopper-based systems: for the largest reasoning and foundation models
DGX GB200 NVL72 A rack-scale AI factory connecting 36 Grace CPUs and 72 Blackwell GPUs as a single NVLink domain for trillion-parameter models.
- 72x NVIDIA Blackwell GPUs + 36 Grace CPUs: 5th-gen NVLink at 1.8TB/s GPU-to-GPU bandwidth
- 5TB HBM3e shared memory: liquid-cooled rack-scale design acting as a single massive GPU
- Scales via DGX SuperPOD: into multi-rack clusters of thousands of GPUs
DGX GB300 NVL72 The Blackwell Ultra rack-scale successor, engineered for AI reasoning and agentic AI at exascale.
- 72x NVIDIA Blackwell Ultra GPUs + 36 Grace CPUs: up to 40TB of high-speed memory per rack
- NVIDIA Quantum-X800 InfiniBand or Spectrum-X Ethernet: 100% liquid-cooled with integrated switch trays
- Up to 65x more AI compute than Hopper-based systems: for the largest reasoning and foundation models
NVIDIA DGX Station & DGX Spark
DGX Station (GB300) A deskside AI supercomputer bringing data-center-class performance to a researcher’s desk.
- NVIDIA GB300 Grace Blackwell Superchip: up to 748GB of coherent CPU+GPU memory
- 252GB HBM3e GPU memory at 7.1TB/s bandwidth: supports fine-tuning models up to ~1 trillion parameters (quantized)
- ConnectX-8 NIC with dual 400Gbps ports: plus 10GbE and 1GbE for management and clustering
DGX Spark (GB10) A compact personal AI supercomputer for developers, researchers, and data scientists working with large local models.
- NVIDIA GB10 Grace Blackwell Superchip: 20-core Arm CPU, up to 1 PFLOP sparse FP4 AI performance
- 128GB unified LPDDR5x memory: run models up to 200 billion parameters locally
- Dual QSFP ConnectX networking (200Gb/s): cluster up to 4 units for scaled local inference and models up to 405B parameters
DGX Station (GB300) A deskside AI supercomputer bringing data-center-class performance to a researcher’s desk.
- NVIDIA GB300 Grace Blackwell Superchip: up to 748GB of coherent CPU+GPU memory
- 252GB HBM3e GPU memory at 7.1TB/s bandwidth: supports fine-tuning models up to ~1 trillion parameters (quantized)
- ConnectX-8 NIC with dual 400Gbps ports: plus 10GbE and 1GbE for management and clustering
DGX Spark (GB10) A compact personal AI supercomputer for developers, researchers, and data scientists working with large local models.
- NVIDIA GB10 Grace Blackwell Superchip: 20-core Arm CPU, up to 1 PFLOP sparse FP4 AI performance
- 128GB unified LPDDR5x memory: run models up to 200 billion parameters locally
- Dual QSFP ConnectX networking (200Gb/s): cluster up to 4 units for scaled local inference and models up to 405B parameters
NVIDIA DGX SuperPOD
DGX SuperPOD A turnkey AI data-center architecture that combines DGX compute nodes with high-speed storage and networking for the largest AI factories.
- Built from scalable units (SU): each SU contains 8 DGX GB200/GB300 rack systems
- Scales beyond 128 racks and 9,216+ GPUs: with NVIDIA-validated reference architecture
- NVIDIA Mission Control software: full-stack orchestration for workloads and infrastructure resilience
NVIDIA HGX Platforms (OEM Building Blocks)
HGX H100 / H200 / B200 / B300 The GPU baseboard platform behind partner-built AI servers from Dell, HPE, Lenovo, Supermicro, and ASUS, offering flexibility for custom configurations.
- HGX H100 / H200: 8-GPU baseboards with up to 1.128TB HBM3e, deployed in most major OEM AI servers
- HGX B200: 8-GPU Blackwell baseboard with 1.4TB memory and 5th-gen NVLink at 1.8TB/s
- HGX B300: 8-GPU Blackwell Ultra baseboard with 2.1TB memory, built for AI reasoning workloads
- Scalable to 1,024+ GPUs: across 128 systems using NVIDIA’s Enterprise Reference Architecture
TierOne NVIDIA AI Deployment Services
AI architecture planning, workload sizing & cluster design
NVIDIA AI Enterprise software integration
NVLink, InfiniBand & DGX interconnect optimization
On-site setup, liquid-cooling configuration & cluster integration
Ongoing remote support, AMC, and GPU upgrade planning
Why Choose NVIDIA DGX from TierOne in Dubai?
Official NVIDIA solutions provider in the UAE
Full DGX portfolio coverage from DGX Spark to DGX GB300 NVL72
Expertise across HGX-based OEM platforms from Dell, HPE, Lenovo, Supermicro & ASUS
On-site setup, liquid-cooling configuration, and cluster integration
Post-sales AMC and technical support across Dubai and the UAE