HPE NVIDIA H100 NVL 94GB PCIe Dual-GPU Module

The HPE NVIDIA H100 NVL 94GB PCIe Dual-GPU Module (P53864-B21) delivers exceptional AI and high-performance computing capability within a standard PCIe form factor. Built on NVIDIA's Hopper architecture, this dual-GPU module combines two H100 GPUs on a single board, providing 94GB of total HBM2e memory and harnessing fourth-generation Tensor Core technology to accelerate transformer-based large language model (LLM) training and inference at scale. The NVLink bridge between the two GPUs enables high-bandwidth peer-to-peer communication, effectively presenting the pair as a unified, high-capacity compute resource to the host system.

Designed for enterprise datacenter integration within HPE ProLiant and HPE Cray server platforms, this module supports PCIe Gen 5 connectivity for maximum host bandwidth. The H100 NVL configuration is specifically optimized for LLM inference workloads, where the expanded 94GB pooled memory capacity allows larger models to reside entirely on-device without fragmentation across multiple cards. The Hopper architecture introduces the Transformer Engine, which dynamically applies FP8 and FP16 mixed precision to dramatically increase throughput for generative AI tasks compared to prior GPU generations.

For enterprise IT and datacenter teams, the HPE-branded module provides seamless integration with HPE's systems management ecosystem, including iLO and HPE OneView, enabling unified monitoring and lifecycle management alongside other infrastructure components. The module is suited for organizations deploying AI inference services, scientific simulation, seismic processing, financial modeling, and other computationally intensive workloads that demand large memory footprints and high floating-point throughput in a datacenter-grade, HPE-supported hardware package.

Ideal for

• Large language model (LLM) inference serving, where the 94GB pooled HBM2e memory capacity enables hosting of multi-billion-parameter models on a single dual-GPU module without model sharding
• Generative AI application development and deployment, leveraging the Transformer Engine and FP8 mixed-precision support to maximize throughput for transformer-based workloads
• High-performance scientific computing and simulation, including computational fluid dynamics, molecular dynamics, and climate modeling that benefit from the Hopper architecture's enhanced double-precision performance
• Financial services risk analytics and quantitative modeling, where large in-memory datasets and high FP64 throughput accelerate Monte Carlo simulations and portfolio analysis
• Enterprise AI training for mid-scale deep learning models, utilizing NVLink-connected GPU memory to handle larger batch sizes and model checkpoints without PCIe memory bottlenecks
• Medical imaging and life sciences workloads such as genomics processing and 3D image reconstruction, which require sustained high-memory-bandwidth compute within an HPE-managed server environment

Technical specifications

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