NVIDIA DGX B200 AI Server

The NVIDIA DGX B200 is NVIDIA's flagship AI supercomputer, purpose-built for the most demanding large-scale AI training, inference, and data science workloads in the enterprise and datacenter. At its core, the system integrates eight NVIDIA Blackwell B200 Tensor Core GPUs, each delivering up to 20 petaflops of FP4 AI compute, interconnected via fifth-generation NVLink at 1.8 TB/s aggregate GPU-to-GPU bandwidth. The DGX B200 is engineered as a unified, factory-validated system — combining compute, memory, networking, and storage in a single optimized platform — eliminating the integration complexity typically associated with building AI infrastructure from discrete components.

The system provides 1.4 exaflops of FP4 AI performance in a single 10U chassis, with 1.44 TB of HBM3e GPU memory shared across all eight GPUs through NVLink switching. Host-side compute is handled by dual Intel Xeon Platinum processors paired with up to 2 TB of system DRAM, while high-speed storage and network I/O are delivered through a full complement of PCIe Gen 5 and OSFP-based ConnectX-8 networking fabric connections. The DGX B200 ships with NVIDIA's DGX OS and the NVIDIA AI Enterprise software stack, providing an optimized, security-hardened software environment ready for immediate deployment of AI frameworks including PyTorch, TensorFlow, and NVIDIA NeMo.

Designed for hyperscale AI infrastructure, scientific computing, and sovereign AI deployments, the DGX B200 is available to enterprise buyers across the UAE, GCC, EMEA, and APAC regions through Omnixon Global. The system is rack-ready and supports NVIDIA DGX SuperPOD reference architectures for organizations requiring scalable, multi-node AI clusters. With its combination of extreme AI throughput, validated system design, and integrated software stack, the DGX B200 represents the highest-density AI compute platform NVIDIA has produced for on-premises enterprise deployment.

Ideal for

• Large-scale generative AI model training, including foundation models and large language models with hundreds of billions to trillions of parameters
• High-throughput enterprise AI inference serving for real-time and batch workloads requiring maximum GPU memory capacity and bandwidth
• Sovereign AI and national AI infrastructure deployments demanding on-premises, data-sovereign compute at exaflop-class scale
• Accelerated scientific computing and simulation workloads in genomics, climate modeling, drug discovery, and computational fluid dynamics
• Multimodal AI development encompassing vision-language models, speech, and recommendation systems requiring unified high-bandwidth GPU memory
• Enterprise MLOps and AI platform consolidation, replacing multiple smaller GPU server clusters with a single validated high-density system

Technical specifications

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