HPE NVIDIA H100 PCIe 80GB GPU Accelerator

The HPE NVIDIA H100 PCIe 80GB GPU Accelerator (P53861-B21) is built on NVIDIA's Hopper architecture, delivering a transformative leap in compute density and AI throughput for enterprise data centers. The H100 PCIe generation leverages the fourth-generation Tensor Core technology alongside Transformer Engine capabilities, enabling it to accelerate large-scale deep learning training and inference workloads with significantly greater efficiency than previous-generation accelerators. With 80GB of HBM2e memory and a 600 GB/s memory bandwidth, the card is engineered to handle the largest neural network models and high-throughput data analytics pipelines without memory bottlenecks.

As a PCIe form-factor card, the HPE H100 integrates seamlessly into HPE ProLiant and Cray server platforms without requiring NVLink-based configurations, making it a practical and scalable choice for organizations expanding their AI and HPC infrastructure incrementally. The card supports PCIe Gen 5 x16 connectivity, maximizing host-to-device data transfer rates in compatible server platforms. Its FP8, FP16, BF16, TF32, FP64, and INT8 precision support spans the full range of enterprise AI and scientific computing requirements, from mixed-precision training to high-fidelity simulation.

HPE positions this accelerator for enterprise customers requiring validated, production-ready AI infrastructure with full integration into HPE's ecosystem of management, security, and lifecycle tools. The combination of NVIDIA Confidential Computing support via NVIDIA Hopper's hardware security features and HPE's enterprise platform integration makes P53861-B21 well-suited for regulated industries and sensitive AI workloads. Omnixon Global supplies this accelerator to enterprise buyers across the UAE, GCC, EMEA, and APAC regions.

Ideal for

• Large language model (LLM) training and fine-tuning across multi-GPU server configurations in enterprise AI research environments
• High-throughput AI inference serving for real-time recommendation engines, natural language processing, and computer vision applications
• High-performance computing (HPC) simulations in scientific research, computational fluid dynamics, and molecular dynamics modeling
• Financial services risk modeling and quantitative analytics requiring FP64 double-precision compute at scale
• Healthcare and life sciences workloads including genomics processing, drug discovery acceleration, and medical imaging AI
• Confidential AI computing in regulated industries leveraging NVIDIA Hopper's hardware-based Trusted Execution Environment (TEE) capabilities

Technical specifications

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