HPE ProLiant DL380 Gen11 Configure-to-Order GPU Server (NVIDIA H100 CTO)

The HPE ProLiant DL380 Gen11 is a 2-socket, 1U rackmount server engineered for GPU-accelerated AI, machine learning, and high-performance computing workloads. This Configure-to-Order configuration integrates NVIDIA H100 Tensor GPUs, delivering up to 3,456 CUDA cores per GPU with 141 GB HBM3 memory per accelerator. The platform supports up to 8 H100 GPUs per 2U enclosure or 4 H100 GPUs in the 1U DL380 Gen11 form factor, with PCIe Gen5 interconnect for maximum bandwidth utilization.

The DL380 Gen11 accommodates 3rd-generation Intel Xeon Scalable processors (up to 60 cores per socket) with support for up to 2.88 TB of DDR5 memory. Enterprise features include redundant 1600W power supplies, dual-port 10GbE LOM, and integrated Lights-Out management (iLO6) for remote administration and monitoring across distributed deployments.

This configuration addresses large-scale generative AI model training, inference acceleration, deep learning research, and real-time analytics in sovereign cloud, telecommunications, and academic environments. The H100 GPU architecture excels in transformer model optimization and mixed-precision compute, making it suitable for foundation model development and fine-tuning operations.

Ideal for

• Large language model (LLM) training and fine-tuning for sovereign AI initiatives across UAE cloud infrastructure
• Telecom network optimization and AI-driven signal processing for 5G/6G research and deployment programs
• University-led AI research clusters for computer vision, NLP, and scientific computing applications
• Enterprise generative AI inference serving with high-throughput, low-latency requirements for production workloads
• Financial services risk modeling and algorithmic trading acceleration using CUDA-optimized frameworks
• Autonomous systems and robotics model development requiring multi-GPU distributed training and validation

Technical specifications

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