HPE NVIDIA H200 PCIe 141GB GPU Accelerator

The HPE NVIDIA H200 PCIe 141GB GPU Accelerator (P65895-B21) is built on NVIDIA's Hopper architecture and delivers a substantial leap in memory capacity and bandwidth over its predecessor, making it one of the most capable PCIe-form-factor accelerators available for enterprise data centers. The H200 integrates 141GB of HBM3e memory, providing significantly higher bandwidth and capacity to hold larger AI models and datasets entirely in GPU memory, reducing latency caused by memory bottlenecks during inference and training operations.

Designed for demanding AI and high-performance computing environments, the HPE NVIDIA H200 PCIe GPU Accelerator excels at large language model (LLM) inference, generative AI workloads, scientific simulation, and advanced data analytics. The PCIe interface ensures broad platform compatibility across a wide range of HPE ProLiant and Synergy server platforms without requiring NVLink-based fabric, making it a practical choice for enterprises scaling AI infrastructure incrementally.

As an HPE-branded solution, this accelerator ships with HPE firmware validation, integration testing against HPE server platforms, and support through HPE's enterprise service ecosystem. It is well-suited for organizations across the UAE, GCC, EMEA, and APAC regions that are deploying or expanding AI inference infrastructure, HPC clusters, or GPU-accelerated data center workloads at scale.

Ideal for

• Large language model (LLM) inference serving, enabling enterprises to run models with billions of parameters entirely within GPU memory for low-latency response generation
• Generative AI application development and production deployment, including image synthesis, text generation, and multimodal model pipelines
• High-performance computing (HPC) simulations in scientific research, computational fluid dynamics, molecular dynamics, and climate modeling
• Enterprise data analytics and machine learning training on large structured and unstructured datasets requiring high memory bandwidth
• AI-accelerated medical imaging, genomics processing, and life sciences research requiring sustained high-throughput GPU compute
• Financial services risk modeling, quantitative analysis, and real-time fraud detection pipelines running GPU-accelerated workloads at data center scale

Technical specifications

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