Supermicro ARS-221GL-NHIR GPU Server

ARS-221GL-NHIR for AI Infrastructure Projects in the UAE

Organizations across the UAE are investing heavily in artificial intelligence, advanced analytics, and accelerated computing. The ARS-221GL-NHIR GPU Server is purpose-built to support these initiatives by delivering a tightly integrated CPU-GPU architecture that minimizes latency and maximizes performance.

Powered by NVIDIA Grace Hopper Superchips, the platform combines high-performance CPU processing, GPU acceleration, and high-bandwidth memory in a compact 2U form factor. This makes it ideal for enterprise AI deployments, government innovation projects, research institutions, and AI-focused data centers throughout Dubai, Abu Dhabi, and the wider GCC region.

Key Features

NVIDIA GH200 Grace Hopper Architecture

The server is built on NVIDIA GH200 Grace Hopper Superchips, integrating NVIDIA Grace CPUs with NVIDIA H100 Tensor Core GPUs through NVIDIA NVLink-C2C technology.

This unified architecture reduces bottlenecks between CPU and GPU resources while accelerating AI training and inference workloads.

Integrated NVIDIA H100 Tensor Core GPUs

The ARS-221GL-NHIR includes two onboard GH200 Superchips with integrated NVIDIA H100 Tensor Core GPU technology optimized for:

• Large Language Models (LLMs)
• Generative AI
• Deep Learning
• Scientific Computing
• AI Inference
• Advanced Data Analytics

Up to 960GB LPDDR5X and 288GB HBM3e Memory

The combination of high-capacity LPDDR5X system memory and HBM3e GPU memory enables organizations to process larger datasets and support increasingly complex AI models.

NVIDIA NVLink and NVLink-C2C Connectivity

Advanced interconnect technologies provide high-bandwidth communication between CPUs and GPUs, reducing latency and improving workload efficiency.

NVIDIA Certified AI Platform

As an NVIDIA Certified system, the ARS-221GL-NHIR meets strict validation requirements for enterprise AI deployments and accelerated computing environments.

PCIe Gen5 Expansion

Flexible PCIe Gen5 connectivity supports additional networking, storage, and infrastructure expansion requirements.

AI and HPC Performance

Modern AI workloads require more than raw processing power. They require fast memory access, efficient data movement, and scalable infrastructure.

Accelerate Large Language Model Training

Train foundation models and enterprise LLMs more efficiently using NVIDIA Grace Hopper architecture and high-bandwidth memory resources.

Enable Generative AI Innovation

Support advanced AI applications including intelligent assistants, content generation, multimodal AI, and enterprise automation solutions.

Improve AI Inference Performance

Deploy production AI environments capable of delivering fast, responsive inference at scale.

Support Scientific and Engineering Applications

Enable advanced simulations, research computing, computational science, and data-intensive analytics.

Planning an AI Deployment in Dubai or Abu Dhabi?

Our AI infrastructure specialists can help assess your workload requirements and recommend the optimal NVIDIA-based architecture for your environment.

Storage and Expansion Capabilities

Enterprise NVMe Storage Architecture

The system includes:

• 3 front-access E1.S NVMe drive bays
• High-speed NVMe storage support
• Optimized storage performance for AI workloads

Flexible Infrastructure Expansion

Expansion resources include:

• 3 PCIe 5.0 x16 slots
• 1 PCIe 5.0 x4 slot
• Additional networking and accelerator options

This flexibility enables organizations to scale infrastructure as business requirements evolve.

Networking and Connectivity for UAE AI Data Centers

Reliable connectivity is essential for AI clusters, enterprise applications, and accelerated computing environments.

Dedicated Management Network

The platform includes a dedicated 1GbE BMC management interface for remote administration and monitoring.

High-Bandwidth Infrastructure Integration

PCIe Gen5 architecture supports modern networking technologies required for AI clusters and enterprise computing environments.

Scalable AI Infrastructure

The ARS-221GL-NHIR is designed to integrate seamlessly into enterprise data centers, AI research labs, and government innovation initiatives.

Security and System Management

Enterprise AI deployments require operational visibility and infrastructure reliability.

Advanced Health Monitoring

Monitor:

• CPU performance
• Memory status
• System voltages
• Fan operation
• Environmental conditions

Intelligent Thermal Management

The platform includes advanced fan controls and thermal monitoring to maintain performance under demanding workloads.

Enterprise Management Features

Management capabilities include:

• AMI UEFI BIOS
• Remote management support
• AC power recovery
• Hardware health monitoring
• Environmental monitoring

ARS-221GL-NHIR Use Cases

• Large Language Model Training
• Generative AI Infrastructure
• AI Inference at Scale
• High-Performance Computing
• Research and Academic Computing
• Data Analytics and Machine Learning

Why Choose the ARS-221GL-NHIR?

The ARS-221GL-NHIR delivers a unique combination of NVIDIA Grace CPU technology, H100 GPU acceleration, and high-bandwidth memory in a compact enterprise platform. Key advantages include:

• NVIDIA GH200 Grace Hopper architecture
• NVIDIA Certified platform
• High-bandwidth LPDDR5X and HBM3e memory
• NVLink and NVLink-C2C interconnects
• PCIe Gen5 expansion
• Enterprise-class reliability
• Optimized for AI infrastructure deployments in the UAE
• Suitable for enterprise, government, and research environments

Technical Specifications

Component	Specification
Form Factor	2U Rackmount
Processor	NVIDIA Grace CPU on GH200 Superchip
GPU	NVIDIA H100 Tensor Core GPU
Max GPU Count	2 onboard GPUs
CPU-GPU Interconnect	NVIDIA NVLink-C2C
GPU Interconnect	NVIDIA NVLink
System Memory	Up to 960GB ECC LPDDR5X
GPU Memory	Up to 288GB ECC HBM3e
Storage Bays	3×E1.S NVMe
M.2 Slots	2×NVMe
Expansion Slots	3×PCIe 5.0 x16, 1×PCIe 5.0×4
Power Supplies	4×2000W Titanium Redundant

Deploy NVIDIA Grace Hopper Infrastructure in the UAE with Novasis

Whether you are building an AI cluster, modernizing a research environment, or deploying enterprise AI infrastructure, Novasis provides the expertise needed to design and implement scalable NVIDIA-powered solutions.

Our specialists help organizations across Dubai, Abu Dhabi, and the UAE evaluate, size, and deploy AI infrastructure tailored to their technical and business requirements.

❓Frequently Asked Questions

1- What workloads is the ARS-221GL-NHIR designed for?

The server is optimized for AI training, LLM development, generative AI, inference, machine learning, and HPC workloads.

2- What is the advantage of NVIDIA GH200 architecture?

The GH200 Grace Hopper Superchip integrates CPU and GPU resources using NVLink-C2C technology, enabling faster data movement and improved AI performance.

3- Is the ARS-221GL-NHIR suitable for AI infrastructure projects in the UAE?

Yes. The ARS-221GL-NHIR is designed for enterprise AI deployments, research environments, and data center projects throughout Dubai, Abu Dhabi, and the UAE.

4- How much memory does the ARS-221GL-NHIR server support?

The server supports up to 960GB ECC LPDDR5X memory and up to 288GB ECC HBM3e GPU memory.