NVIDIA HGX H100 SXM5 8-GPU AI Server: Special Offer
- diyasjournal
- 2 days ago
- 3 min read
Updated: 7 hours ago
This NVIDIA HGX H100 SXM5 8-GPU server is built for large AI workloads. It is used for AI training, AI inference, and HPC in data centers and private clusters.
NVIDIA HGX H100 SXM5 8-GPU AI Server
✔️ 5-Year Warranty – No Risk: Pay Only After Testing
Technical Specifications - NVIDIA HGX H100 SXM5 8-GPU AI Server
These servers come with the following configuration:
System Overview & Chassis: NVIDIA HGX H100 SXM5 8-GPU AI Server 5U rackmount server
System name: H100 SXM5 Hopper 8
Form factor: 5U rackmount server
Platform: NVIDIA HGX H100 (SXM5)
This is a true HGX system, not a PCIe GPU server. All GPUs are connected using NVLink and NVSwitch, enabling high-bandwidth GPU-to-GPU communication.
GPU Platform: 8 × NVIDIA H100 Tensor Core GPUs (SXM5)
NVIDIA HGX H100 baseboard
8 × NVIDIA H100 Tensor Core GPUs (SXM5 form factor)
80GB HBM3 memory per GPU
Fourth-generation NVLink with NVSwitch
Full all-to-all GPU connectivity
High GPU-to-GPU bandwidth for multi-GPU workloads
Total GPU memory: 640GB
CPU Configuration: 2 × Intel Xeon Platinum 8462Y+
Dual-socket server platform
High core count and PCIe lane availability
Designed to minimize CPU bottlenecks in GPU workloads
System Memory: 32 × 64GB DDR5-4800 ECC RDIMM = 2048GB (2TB)
DDR5 RDIMM support
Optimized for feeding data to GPUs
Storage Bay: 2 × Samsung PM9A3 15.4TB NVMe SSDs
NVMe U.2 / U.3 drive support
PCIe Gen4 (U.3 NVMe)
Used for OS, scratch space, and dataset staging
Networking: Mellanox ConnectX-5 EN
Support for high-speed Ethernet adapters
Support for InfiniBand adapters
RDMA and GPUDirect RDMA supported
PCIe Gen4 x16 interface
Suitable for single-node or multi-node clusters
Power and Cooling: Redundant 3000W Titanium power supplies (240V)
Redundant high-capacity power supplies
Designed for very high system power draw
Designed for high thermal density
Advanced cooling required
Management and Access: Integrated IPMI 2.0
Dedicated management LAN port
KVM over LAN
Virtual media support
Additional Details: NVIDIA HGX H100 SXM5 8-GPU AI Server
Data center deployment ready
Rack integration supported
Technical Analysis – NVIDIA HGX H100 SXM5 8-GPU AI Server
This system is built for large-scale AI and HPC workloads. It uses the NVIDIA HGX H100 platform with H100 SXM5 GPUs.
The eight GPUs are connected using fourth-generation NVLink and NVSwitch. This provides direct GPU-to-GPU communication without routing traffic through PCIe. PCIe is used for CPU-to-GPU traffic and external I/O. Each GPU has its own 80GB of high-bandwidth HBM3 memory. Memory is not physically shared between GPUs. NVLink enables fast data movement and collective operations across GPUs, allowing large models to scale efficiently.
The CPU platform is designed to support GPU-heavy workloads. High memory bandwidth and PCIe capacity reduce host-side bottlenecks. The system supports high-speed networking for scaling beyond one node. It can be used as a standalone server or as part of a multi-node AI cluster.
Use Cases – NVIDIA HGX H100 SXM5 8-GP AI Server
AI training with PyTorch or TensorFlow
Large language model training and fine-tuning
Multi-GPU inference workloads
HPC and simulation workloads
Scientific computing and research
Distributed AI clusters using RDMA
This platform is commonly used when workloads exceed the limits of single-GPU systems.
Testing, Burn-In, and Warranty Notes - NVIDIA HGX H100 SXM5 8-GP AI Server
Each system can undergo burn-in testing before delivery. Testing is performed under sustained GPU load. Thermal and stress testing helps verify stability. This is important for continuous data center operation. The servers come with a 5-year warranty.
NVIDIA HGX H100 SXM5 8-GPU AI Server
✔️ 5-Year Warranty – No Risk: Pay Only After Testing