NVIDIA HGX H100 SXM5 8-GPU AI Server: Special Offer
- diyasjournal
- 16 hours ago
- 3 min read
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
Chassis – NVIDIA HGX H100 SXM5 8-GPU AI Server
Data center rackmount server chassis
Typically, 6U–8U form factor (vendor dependent)
Designed for 8× SXM GPUs
Built for high power and thermal density
GPU Platform – NVIDIA HGX H100 SXM5 8-GPU AI Server
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 - NVIDIA HGX H100 SXM5 8-GPU AI Server
Dual-socket server platform
Support for modern Intel Xeon or AMD EPYC CPUs
High core count and PCIe lane availability
Designed to minimize CPU bottlenecks in GPU workloads
System Memory - NVIDIA HGX H100 SXM5 8-GPU AI Server
DDR5 RDIMM support
Capacity depends on configuration
Optimized for feeding data to GPUs
Networking - NVIDIA HGX H100 SXM5 8-GPU AI Server
Support for high-speed Ethernet adapters
Support for InfiniBand adapters
RDMA and GPUDirect RDMA supported
PCIe Gen5 commonly used for NIC and accelerator connectivity
Suitable for single-node or multi-node clusters
Storage Bay - NVIDIA HGX H100 SXM5 8-GPU AI Server
NVMe U.2 / U.3 drive support
PCIe Gen4 or Gen5 (platform dependent)
Used for OS, scratch space, and dataset staging
Power and Cooling - NVIDIA HGX H100 SXM5 8-GPU AI Server
Redundant high-capacity power supplies
Designed for very high system power draw
Typically deployed with direct liquid cooling
Advanced cooling required for sustained full GPU load
Additional Details - NVIDIA HGX H100 SXM5 8-GPU AI Server
Data center deployment ready
Rack integration supported
Configuration-dependent availability
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.
Overall, this server combines dense GPU compute, high memory bandwidth, and fast interconnects in a single system.
Suitable 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
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.
Warranty terms depend on the final configuration. Extended support options may be available.
NVIDIA HGX H100 SXM5 8-GPU AI Server
✔️ 5-Year Warranty – No Risk: Pay Only After Testing