Supermicro SYS-221GE-TNHT-LCC GPU Server

AI Infrastructure Solutions for UAE Data Centers

The SYS-221GE-TNHT-LCC is engineered for organizations requiring a scalable and efficient platform for AI model development, deep learning, scientific computing, and large-scale analytics.

Featuring NVIDIA HGX H100 technology with four SXM GPUs, the system provides the performance needed to accelerate AI training cycles while supporting demanding enterprise workloads.

Its balanced architecture combines powerful CPU resources, high-bandwidth GPU acceleration, extensive memory capacity, and advanced networking, enabling businesses to deploy AI initiatives faster while maximizing infrastructure utilization.

Designed for enterprise data centers, research institutions, cloud environments, and AI innovation labs, the platform offers the flexibility required for both current and future AI workloads.

Key Features

NVIDIA HGX H100 Architecture

The Supermicro SYS-221GE-TNHT-LCC leverages NVIDIA HGX H100 technology to provide exceptional AI acceleration and scalability for training, fine-tuning, and inference workloads.

The HGX platform enables organizations to efficiently run modern AI applications while maintaining enterprise-class reliability and operational efficiency.

Four NVIDIA H100 SXM GPUs

The server integrates four NVIDIA H100 SXM GPUs optimized for:

• Large Language Model (LLM) training
• Generative AI applications
• Deep learning frameworks
• AI inference workloads
• Scientific computing
• Data analytics

The SXM form factor provides higher performance and improved GPU-to-GPU communication compared to traditional PCIe-based implementations.

Up to 8TB DDR5 ECC Memory

Supporting up to 8TB of DDR5 ECC memory across 32 DIMM slots, the platform enables organizations to process larger datasets, improve application responsiveness, and support memory-intensive AI and HPC environments.

NVIDIA NVLink Interconnect Technology

NVIDIA NVLink delivers high-speed GPU communication that significantly reduces bottlenecks during distributed AI training and parallel computing workloads.

This allows multiple GPUs to operate more efficiently as a unified computational resource.

Advanced Cooling Design

The platform supports high-performance thermal management, including optional Direct-to-Chip liquid cooling technology for environments requiring sustained peak performance under intensive workloads.

Enterprise-Class Compute Architecture

Powered by dual Intel Xeon Scalable processors with up to 56 cores per CPU, the server delivers the processing power required for data preprocessing, orchestration, simulation workloads, and AI pipeline management.

AI and HPC Performance Benefits

Modern AI initiatives require infrastructure capable of supporting increasingly complex models and growing datasets.

Accelerate Large Language Model Training

Train foundation models, domain-specific LLMs, and generative AI applications faster through high-performance GPU acceleration and NVLink connectivity.

Support Enterprise Generative AI

Enable image generation, conversational AI, intelligent assistants, recommendation systems, and multimodal AI applications.

Reduce Training Time and Improve Efficiency

The combination of NVIDIA H100 GPUs and PCIe Gen5 architecture helps reduce training cycles while improving infrastructure utilization.

Power Advanced Scientific Computing

Support computationally intensive workloads such as simulation modeling, engineering design, financial analytics, life sciences research, and climate modeling.

Planning an AI Cluster?

Novasis solutions architects can help assess workload requirements, infrastructure sizing, GPU allocation, networking design, and deployment strategies for AI and HPC environments.

Storage and Expansion Capabilities

Flexible NVMe Storage Configuration

The SYS-221GE-TNHT-LCC includes:

• 4 front-access hot-swap 2.5-inch NVMe/SATA drive bays
• High-performance storage options
• Simplified maintenance and serviceability

PCIe Gen5 Expansion

Four PCIe 5.0 x16 expansion slots provide flexibility for:

• Additional networking adapters
• Storage controllers
• Specialized accelerators
• Future infrastructure upgrades

Networking and Connectivity

Dual 10GbE Connectivity

Integrated dual 10GbE networking provides reliable connectivity for enterprise workloads and cluster deployments.

High-Bandwidth Data Movement

The networking architecture supports fast communication between storage systems, compute resources, and AI infrastructure components.

Scalable AI Infrastructure Integration

Designed to integrate seamlessly into modern AI clusters, HPC environments, and enterprise data center ecosystems.

Security and System Management

Enterprise AI environments require strong security controls and centralized management capabilities.

Hardware Root of Trust

The system includes Silicon Root of Trust (RoT) technology compliant with NIST 800-193 standards, helping protect infrastructure from firmware-level threats.

Trusted Platform Module (TPM) 2.0

Hardware-based security helps secure workloads, authentication processes, and infrastructure integrity.

Advanced Firmware Protection

Security features include:

• Cryptographically signed firmware
• Secure boot
• Secure firmware updates
• Automatic firmware recovery
• Runtime BMC protections
• Remote attestation capabilities
• System lockdown functionality

Comprehensive Management Tools

Supported management platforms include:

• SuperCloud Composer
• Supermicro Server Manager (SSM)
• Supermicro Update Manager (SUM)
• SuperDoctor 5
• Super Diagnostics Offline
• SuperServer Automation Assistant

These tools simplify deployment, monitoring, maintenance, and lifecycle management.

Ideal Use Cases for the SYS-221GE-TNHT-LCC

• 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 SYS-221GE-TNHT-LCC?

The SYS-221GE-TNHT-LCC combines NVIDIA HGX H100 acceleration, enterprise-class Intel Xeon compute resources, and advanced security features in a scalable 2U platform.

Key benefits include:

• NVIDIA HGX H100 4-GPU architecture
• High-bandwidth NVLink connectivity
• Up to 8TB DDR5 memory
• PCIe Gen5 infrastructure
• Enterprise-grade security features
• Optional liquid cooling support
• Titanium-level redundant power supplies
• Comprehensive management and monitoring tools

The platform provides a strong foundation for organizations building scalable AI and HPC environments while maintaining operational efficiency and reliability.

Technical Specifications

Component	Specification
Form Factor	2U Rackmount
Processors	Dual 5th Gen Intel Xeon Scalable Processors
CPU Sockets	Dual Socket E (LGA 4677)
GPU Configuration	4×NVIDIA H100 SXM GPUs
GPU Interconnect	NVIDIA NVLink
CPU-GPU Connectivity	PCIe 5.0 x16
Memory Capacity	Up to 8TB DDR5 ECC
Memory Slots	32 DIMM Slots
Storage Bays	4×Hot-Swap NVMe/SATA
Expansion Slots	4×PCIe 5.0 x16
Networking	2×10GbE RJ45
Security	TPM 2.0, Silicon Root of Trust
Power Supplies	2×5250W Titanium Redundant
Cooling	Air Cooling / Optional D2C Liquid Cooling

Build AI Infrastructure in the UAE with Novasis

Successful AI initiatives require more than powerful hardware. They require the right architecture, networking strategy, scalability planning, and deployment expertise.

Novasis helps organizations design and deploy AI-ready infrastructure tailored to their business objectives and technical requirements.

Whether you are building an AI cluster, expanding GPU resources, or evaluating NVIDIA HGX H100 infrastructure, our specialists can help you identify the right solution.

❓Frequently Asked Questions

1- What AI workloads is the SYS-221GE-TNHT-LCC designed for?

The SYS-221GE-TNHT-LCC is optimized for LLM training, generative AI, machine learning, AI inference, data analytics, and high-performance computing workloads.

2- How many GPUs does the system support?

The Supermicro SYS-221GE-TNHT-LCC server includes four NVIDIA H100 SXM GPUs integrated through the NVIDIA HGX H100 platform.

3- Is the platform suitable for AI clusters?

Yes. The system is designed for enterprise AI deployments and can be integrated into multi-node AI and HPC environments.

4- What is the maximum memory capacity?

The server supports up to 8TB of DDR5 ECC memory across 32 DIMM slots.