NVIDIA DGX H100 8x H100 SXM5 Server System

The NVIDIA DGX H100 is a purpose-built AI supercomputer integrating eight NVIDIA H100 SXM5 80GB GPUs interconnected via NVLink and NVSwitch fabrics, delivering a combined 640GB of HBM3 GPU memory and up to 32 petaFLOPS of FP8 AI compute within a single 10U rackmount chassis. Built on the NVIDIA Hopper architecture, each H100 SXM5 GPU incorporates the Transformer Engine with FP8 precision, dramatically accelerating large language model training and inference compared to prior generations. The system ships with DGX OS, NVIDIA AI Enterprise software, and the full NVIDIA Base Command stack, providing an integrated and validated software environment for immediate deployment of AI and high-performance computing workloads.

The DGX H100 features eight third-generation NVLink connections per GPU and four NVSwitch chips providing 900GB/s bidirectional GPU-to-GPU bandwidth, enabling models that exceed single-GPU memory capacity to execute across all eight GPUs with minimal communication overhead. Dual Intel Xeon Platinum 8480C CPUs supply 112 CPU cores, supported by 2TB of system DDR5 memory. Storage is provisioned via 8TB of internal NVMe SSD capacity across multiple drives, and dual 10GbE plus quad 400Gb InfiniBand HDR or ConnectX-7 Ethernet network interfaces provide the high-bandwidth, low-latency fabric connectivity required for multi-node cluster scaling.

Designed for enterprise data centers and AI research infrastructure, the NVIDIA DGX H100 targets the most demanding workloads in generative AI, large-scale deep learning, scientific simulation, and data analytics. Its validated, fully integrated hardware and software stack reduces time-to-deployment while the NVIDIA AI Enterprise subscription provides enterprise-grade support, security, and management tooling. The system is available through Omnixon Global for enterprise buyers across the UAE, GCC, EMEA, and APAC regions.

Ideal for

• Training and fine-tuning large language models and generative AI foundation models requiring multi-GPU tensor parallelism
• Enterprise-scale deep learning inference for real-time natural language processing, computer vision, and recommendation systems
• High-performance computing simulations in computational fluid dynamics, molecular dynamics, and climate modeling
• Multi-node AI supercomputing cluster deployments interconnected via InfiniBand for distributed training at scale
• Data center AI platform consolidation replacing multiple discrete GPU server nodes with a single validated integrated system
• Accelerated data analytics and GPU-powered ETL pipelines using RAPIDS and CUDA-X libraries on enterprise datasets

Technical specifications

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