HPE Apollo 6500 Gen11 NVIDIA H100 SXM5 8-GPU Server

The HPE Apollo 6500 Gen11 NVIDIA H100 SXM5 8-GPU Server is a purpose-built high-density AI and HPC platform designed to deliver exceptional parallel computing throughput for the most demanding enterprise workloads. At its core, the system integrates eight NVIDIA H100 SXM5 GPUs interconnected via NVLink 4.0 and NVSwitch, enabling GPU-to-GPU bandwidth of up to 900 GB/s bidirectional per GPU — a critical capability for large-scale model training, inference, and scientific simulation workloads that require tight GPU coupling and minimal inter-accelerator latency.

Built on the HPE Apollo 6500 Gen11 chassis, the server pairs its GPU complement with AMD EPYC Gen 4 processors and supports high-capacity DDR5 system memory, providing the CPU-side compute and memory bandwidth necessary to feed eight H100 accelerators without bottlenecking the data pipeline. The platform accommodates NVMe storage for local dataset staging and integrates with HPE's broader fabric and storage ecosystem. The H100 SXM5 GPUs each feature 80 GB of HBM3 memory with 3.35 TB/s memory bandwidth per GPU, the NVIDIA fourth-generation Tensor Core architecture with FP8 precision support, and a Transformer Engine purpose-designed to accelerate large language model (LLM) and generative AI workloads.

The HPE Apollo 6500 Gen11 is engineered for deployment in enterprise data centers, national laboratories, and cloud service provider environments where rack density, thermal efficiency, and workload scalability are paramount. The system supports integration with NVIDIA AI Enterprise software, CUDA, and industry-standard HPC middleware, making it a production-ready foundation for AI infrastructure. Omnixon Global supplies this platform to buyers across the UAE, GCC, EMEA, and APAC regions, supporting enterprise IT procurement for AI-scale deployments.

Ideal for

• Large language model (LLM) pre-training and fine-tuning at scale, leveraging NVLink 4.0 GPU interconnect and FP8 Tensor Core acceleration
• Generative AI inference serving for enterprise applications requiring high-throughput, low-latency GPU compute
• High-performance computing (HPC) workloads including computational fluid dynamics, molecular dynamics, and climate modeling
• Computer vision and deep learning model development for industrial, medical imaging, and autonomous systems use cases
• Data analytics and AI-driven simulation pipelines in oil and gas, financial services, and life sciences sectors
• Sovereign AI and national research infrastructure deployments requiring dense, high-bandwidth multi-GPU compute nodes

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.