Hexadata HD-RS4200

Hexadata HD-RS4200 Version: TUR - 028G

The Hexadata HD-RS4200 Version: TUR-028G is a high-performance AI computing server purpose-built for demanding workloads in Generative AI, High- Performance Computing (HPC), and Data Analytics. It supports one or two AMD EPYCTM 9005 Turin series processors, and is fully compatible with the EPYC 9004 Genoa series, with a maximum processor TDP of up to 500W per socket delivering powerful compute capabilities for next-generation AI infrastructure

AMD has made significant strides in processor
Processor Support: AMD EPYCTM 9005 / 9004 Series
The HD-SW4200 supports two AMD EPYCTM 9005 Turin series processors and is fully compatible with the EPYC 9004 Genoa series, with a maximum thermal design power (TDP) of up to 500W per socket. Built on the SP5 platform, these 5th Gen EPYC processors leverage the advanced 3nm process node and feature Zen 5 and Zen 5c core architectures, delivering significant improvements in performance, energy efficiency, and cost optimization.

With up to 192 cores, increased frequencies, and larger cache sizes, these processors provide exceptional performance for cloud-native applications, general-purpose workloads, and highly specialized AI and data analytics tasks
The HD-SW4200 features a dual-socket SP5 (LGA 6096) configuration, supporting two AMD EPYC processors for enhanced scalability and parallel processing.
It also supports AMD 3D V-CacheTM technology, which significantly increases memory bandwidth ideal for accelerating compute-intensive workloads. This architecture delivers robust multithreaded performance, making the system capable of handling everything from virtualization and data center tasks to next-generation AI, deep learning, and simulation workloads.
PCIe Gen5 and DDR5 Memory Support:
The system supports PCIe Gen5, offering 2x the data throughput of its predecessor. This increased bandwidth ensures seamless data transfer between CPUs, GPUs, and storage, enabling faster processing and reducing bottlenecks in performance-critical workloads.
The system supports DDR5 memory with speeds up to 6400MHz, delivering a 75% increase in bandwidth over previous generations.This allows for higher throughput and lower latency, boosting performance in AI, HPC, and other memory-intensive workloads.
High-Speed Storage & Accelerated Compute Architecture:
The system supports a SATA/SAS/NVMe tri-mode hard drive configuration, offering flexible storage options to meet high- speed data transfer and capacity needs. It features both CPU- GPU direct connection and switch expansion modes, enabling seamless data flow and scalable architecture. Designed for demanding compute workloads, the platform accommodates up to 10 × 600W dual-width GPUs. Additionally, 2 × onboard PCIe 3.0 M.2 NVMe SSDs (2280) are included for high-speed caching and local storage, further enhancing system responsiveness and throughput.

High-speed data movement is supported via PCIe Gen5, doubling throughput over Gen4 and minimizing bottlenecks between CPU, GPU, and storage. For connectivity, it features 2x 1G RJ45 ports with optional OCP 3.0 NIC, and remote system management is enabled by the ASPEED AST2600 BMC with full IPMI support. With its robust architecture, the HD-SW4200 is a future-ready platform for enterprises and research institutions building scalable AI infrastructure.
Reliability and Power Efficiency:
The Hexadata HD-SW4200 is equipped with 80 PLUS Titanium certified redundant power modules, available in 2000W, 2200W, or 2600W configurations. It supports up to 4 hot- swappable AC or DC modules, with flexible 3+1 or 2+2 redundancy for uninterrupted operation. This design ensures high power efficiency and system stability, even during individual module failure or maintenance. The Titanium certification guarantees minimal power loss and reduced operational costs compared to earlier-generation systems
Scalable and Flexible Design:
The 4U rackmount form factor ensures that the system is well- suited for deployment in data centers, where space is often a concern but high computational power is essential. The form factor allows for easy scaling, while the system’s robust design ensures reliability and longevity in demanding environments.
Hexadata Management Console
For management and maintenance of a server or a small cluster, users can use the Hexadata Management Console, which is preinstalled on each server. Once the servers are running, IT staff can perform real-time health monitoring and management on each server through the browser-based graphical user interface. In addition, the Hexadata Management Console also provides:
- Support for standard IPMI specifications that allows users to integrate services into
- A single platform through an open interface
- Automatic event recording, which can record system behavior 30 seconds before an event occurs, making it easier to determine subsequent actions
- Supports Remote KVM over IP which can provide access of BIOS on remote system during the trading hours also.
- Supports remote media redirection through which even entire operating system and Patched scan be deployed remotely without having the physical access of servers.
Hardware Security TPM 2.0 Module
For hardware-based authentication, the passwords, encryption keys, and digital certificates are stored in a TPM module to prevent unwanted users from gaining access to your data. Hexadata TPM modules come in either a Serial Peripheral Interface or Low Pin Count bus.

Stack Your AI Rig with Hexadata HD-RS4200 Version: TUR - 028G

The Hexadata HD-RS4200 Version: TUR - 028G is an advanced AI and HPC platform that pushes the envelope of performance, efficiency, and scalability. By leveraging AMD's latest processors and NVIDIA’s cutting-edge GPU technologies, the system is designed to accelerate workloads in AI, deep learning, data analytics, and HPC environments. With a comprehensive array of features— including PCIe Gen5, advanced networking, and GPU memory bandwidth—the Hexadata platform is well- suited for organizations aiming to stay at the forefront of AI innovation while ensuring cost-effective and energy- efficient operations.

This solution is built for businesses and research institutions seeking scalable infrastructure to support the most demanding AI, data analytics, and high- performance computing tasks.

Use Cases for Hexadata HD-RS4200

The Hexadata HD-RS4200 powered by NVIDIA H100 80GB GPU, based on the Hopper architecture, is designed for high performance computing, AI, and deep learning applications .Here are some use cases where the H100 80GB GPU excels:

1. Deep Learning Training
Large-Scale Model Training: The H100's massive memory capacity and computational power enable the training of large neural networks, such as GPT-3 or similar large language models, with faster convergence times.

Multi-GPU Training: Leveraging NVLink and NVSwitch technologies, multiple H100 GPUs can be interconnected to scale out training across numerous GPUs, improving throughput and efficiency.

2. Inference
Real-Time Inference: The H100 can handle real-time inference workloads for applications such as autonomous driving, medical diagnostics, and financial modeling due to its high throughput and low latency.

Batch Inference: Ideal for scenarios where large batches of data need to be processed simultaneously, such as in recommendation systems or image recognition tasks.

3. Data Analytics
Big Data Processing: The H100 can accelerate data analytics workloads, such as ETL (extract, transform, load) processes, enabling faster insights from large datasets.

Graph Analytics: It can efficiently handle graph-based analytics, useful in social network analysis, fraud detection, and recommendation systems.

4. Scientific Computing
Simulations: High-performance simulations in fields like physics, chemistry, and climate modeling can leverage the H100's computational capabilities to run more detailed and accurate simulations in less time.

Genomics: Accelerating genomic sequencing and analysis tasks, helping in research and clinical applications by reducing the time required for processing large datasets.

5. High-Performance Computing (HPC)
Molecular Dynamics: Speeding up molecular dynamics simulations used in drug discovery and materials science.

Finite Element Analysis (FEA): Enhancing the performance of FEA used in engineering applications for stress analysis, fluid dynamics, and structural analysis.

6. Al-Driven Applications
Natural Language Processing (NLP): Training and deploying advanced NLP models for applications like chatbots, translation services, and sentiment analysis.

Computer Vision: Enhancing the performance of computer vision tasks such as object detection, image segmentation, and facial recognition.

7. Enterprise Al
Business Intelligence: Accelerating the processing of large datasets for business intelligence and analytics, enabling quicker decision-making.

Recommendation Systems: Powering real-time recommendation engines for e-commerce, streaming services, and personalized content delivery.

8. Virtualization and Cloud Computing
Al-as-a-Service: Enabling cloud service providers to offer Al services on demand, utilizing the H100's capabilities to deliver high-performance Al applications to end-users.

Virtual Desktop Infrastructure (VDI): Supporting VDI deployments for data scientists and researchers who need access to powerful GPU resources for their workflows.

9. Edge Computing
Autonomous Systems: Providing the computational power needed for autonomous vehicles, drones, and robotics, which require real-time processing and decision-making capabilities.

Smart Cities: Enabling edge devices to perform complex Al tasks locally, reducing latency and bandwidth requirements for smart city applications like traffic management and surveillance.

The Hexadata HD-RS4200 powered by NVIDIA H100 80GB GPU's advanced architecture and large memory capacity make it suitable for these demanding use cases, enabling breakthroughs in AI, scientific research, and high-performance computing