High-Performance AI Server with 8× NVIDIA HGX H100 SXM5 80GB GPUs, Dual Xeon Platinum 8558 CPUs, 3TB DDR5 Memory, and 100GbE Networking
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Title
High-Performance AI Server with 8× NVIDIA HGX H100 SXM5 80GB GPUs, Dual Xeon Platinum 8558 CPUs, 3TB DDR5 Memory, and 100GbE Networking
Keywords
H100 Server, NVIDIA HGX H100, AI Training Server, High Performance Computing, Dual Xeon Server, DDR5 5600MHz Memory, NVMe Gen5 Storage, InfiniBand ConnectX-7, Data Center Server, Deep Learning System
Description
The H100 Server is a next-generation AI training and HPC platform designed for the most demanding computational workloads. Featuring 8 × NVIDIA HGX H100 SXM5 80GB GPUs, this powerhouse delivers unmatched GPU performance, scalability, and energy efficiency for deep learning, generative AI, and data analytics.
Powered by 2 × Intel Xeon Platinum 8558 processors and 24 × 128 GB DDR5 5600 MHz ECC RDIMMs, the system delivers exceptional parallel compute capability and memory bandwidth. This enables seamless execution of large-scale AI model training, HPC simulations, and massive data analytics tasks.
Storage is configured with 8 × 15.36 TB NVMe Gen5 SSDs for ultra-fast read/write throughput and 2 × 960 GB M.2 drives in RAID 1 for OS and boot resilience. The system ensures reliable performance, low latency, and high IOPS for AI workloads.
Networking is handled through a combination of 1 GbE LOM management connectivity, 1 × 100 GbE Mellanox ConnectX-6 adapter, and 8 × single-port NDR InfiniBand ConnectX-7 cards for high-speed inter-GPU and multi-node communication. The six 2800 W redundant power supplies and iDRAC9 management module ensure continuous uptime, reliability, and easy remote management.
This data center-grade deep learning system is purpose-built for enterprise-level AI infrastructure, autonomous vehicle development, scientific computing, and large-scale inference acceleration. The architecture is optimized for both performance density and energy efficiency, making it the ultimate choice for next-generation AI computing clusters.
Key Features
- 8 × NVIDIA HGX H100 SXM5 80GB GPUs (NVLink architecture for high GPU bandwidth)
- 2 × Intel Xeon Platinum 8558 CPUs with up to 48 cores total
- 24 × 128 GB DDR5 5600 MHz ECC RDIMM modules (3 TB total)
- 8 × 15.36 TB NVMe Gen5 SSDs for data acceleration
- 2 × 960 GB M.2 SSDs (RAID 1 for OS and redundancy)
- 1 × 100 GbE Mellanox ConnectX-6 adapter
- 8 × single-port NDR InfiniBand ConnectX-7 adapters
- 6 × 2800 W redundant hot-swap power supplies
- 1 × 1 GbE LOM management port
- 1 × iDRAC9 enterprise remote management controller
- 6 × InfiniBand (IB) interconnect cards for HPC communication
Configuration
| Component | Specification | Quantity |
|---|---|---|
| GPU | 8 × NVIDIA HGX H100 SXM5 80 GB | 8 |
| CPU | Intel Xeon Platinum 8558 (48 cores total) | 2 |
| Memory | 128 GB DDR5 5600 MHz ECC RDIMM | 24 |
| Boot Drives | 960 GB M.2 SSD (RAID 1) | 2 |
| Data Storage | 15.36 TB NVMe Gen5 SSD | 8 |
| Networking | 1 GbE LOM + 100 GbE Mellanox ConnectX-6 + 8 × NDR InfiniBand ConnectX-7 | 1 |
| Management | iDRAC9 Enterprise KVM-over-IP Controller | 1 |
| Power Supply | 2800 W Hot-Swap Redundant PSU | 6 |
| InfiniBand Cards | High-speed IB Adapters for Node Interconnect | 6 |
Compatibility
This system supports popular deep learning frameworks such as TensorFlow, PyTorch, and JAX optimized for the NVIDIA H100 architecture. It is fully compatible with NVIDIA CUDA 12, cuDNN, and NCCL for distributed multi-GPU training.
The server architecture supports both Linux (Ubuntu, Rocky Linux, RHEL) and VMware ESXi environments. Networking components, including InfiniBand ConnectX-7 and Mellanox ConnectX-6, are certified for high-performance cluster and data center integration.
Usage Scenarios
The H100 Server is purpose-built for AI training, HPC simulation, and deep learning inference. It enables large model training such as GPT-class LLMs, diffusion models, and scientific AI simulations.
In cloud environments, it serves as a high-density data center server node for distributed AI clusters, delivering exceptional FLOPs per watt efficiency and GPU scalability.
The system also excels in research institutions and enterprise labs that require multi-node GPU communication over InfiniBand, ensuring low-latency interconnect and high data throughput.
With its combination of GPU power, fast NVMe storage, and robust DDR5 memory architecture, the H100 platform is a top choice for AI cloud providers and data-intensive industries like autonomous driving and biomedical research.
Frequently Asked Questions
- Q1: What GPU interconnect technology does this server use?
A1: The server uses NVLink and NVSwitch to interconnect the 8 NVIDIA HGX H100 SXM5 GPUs for high-speed peer-to-peer communication. - Q2: Can this system be clustered with multiple H100 servers?
A2: Yes. With 8 × NDR InfiniBand ConnectX-7 adapters, the server can form large multi-node GPU clusters via InfiniBand fabric. - Q3: What operating systems are supported?
A3: Supports major 64-bit Linux distributions ( Ubuntu 22.04 LTS, RHEL 9, Rocky Linux 9 ), and virtualization via VMware ESXi 8 or NVIDIA Base Command Platform. - Q4: What is the total GPU memory available?
A4: Each GPU offers 80 GB of HBM3 memory, for a total of 640 GB GPU memory in aggregate (8 × 80 GB).
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