NVIDIA HGX B200

Brand: NVIDIA | Category: Servers

SKU: NV-HGX-B200 | Part #: HGX-B200 | MPN: HGX-B200

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The NVIDIA HGX B200 (Part Number HGX-B200) is a purpose-built GPU compute platform designed for OEM partners and data centre operators building next-generation AI and high-performance computing infrastructure. This 8-GPU board accelerator combines eight NVIDIA B200 SXM GPUs in a single form factor, delivering 1.44 exaflops of peak FP8 performance and up to 1.44 petabytes per second of aggregate memory bandwidth across 180GB of HBM3e memory per GPU. The HGX B200 is engineered as a modular server building block, enabling partners to integrate multiple boards into custom systems tailored to large language model training, generative AI inference, scientific computing, and enterprise AI workloads. With its dense GPU configuration and partner-first design philosophy, the HGX B200 addresses the infrastructure bottleneck facing organisations scaling AI applications across GCC, Asia, and Europe.

Key Features

• GPU Configuration: 8× NVIDIA B200 SXM GPUs per board, delivering 1.44 exaflops FP8 peak performance and 576 terabits per second aggregate memory bandwidth
• Memory Per GPU: 180GB HBM3e per B200, totalling up to 1.44TB memory capacity across the board for large-batch training and inference
• Form Factor: Standard 8-GPU modular board optimised for OEM system integration and multi-board server configurations
• Interconnect: NVIDIA Blackwell NVLink-C2 technology enabling 900GB/s GPU-to-GPU direct communication for distributed training at scale
• HGX Platform: Designed specifically for NVIDIA hardware partners, supporting rapid deployment of validated, reference system designs
• Thermal Design: Standard enterprise cooling architecture compatible with existing data centre thermal infrastructure and ODM server designs
• Generational Advantage: Purpose-built for 2026-era AI workloads with architectural optimisations for transformer models, mixture-of-experts, and inference scaling
• Broad Compatibility: Integrates with leading OEM server platforms and NVIDIA software stack including CUDA, cuDNN, and TensorRT

Typical Use Cases

• Large Language Model Training: Multi-node HGX B200 clusters for pre-training and fine-tuning of 70B–405B parameter models with near-linear scaling efficiency across hundreds of GPUs
• Generative AI Inference at Scale: High-throughput serving of foundation models with dynamic batching, speculative decoding, and tensor parallelism across distributed HGX boards
• AI Supercomputing and Research: Academic and enterprise research institutions requiring exascale-class compute for physics simulation, molecular dynamics, and climate modelling
• Enterprise AI Data Centres: Hyperscaler and managed service provider deployments across GCC and Asia-Pacific requiring standardised, high-density AI compute building blocks
• Custom OEM Solutions: System integrators and server manufacturers building proprietary AI appliances with optimised form factors, power delivery, and management interfaces
• Real-Time AI Workloads: Low-latency inference for autonomous systems, financial analytics, and edge-to-cloud AI pipelines requiring deterministic performance and fault tolerance

The HGX B200 stands out as the preferred compute platform for organisations requiring modular, partner-validated AI infrastructure without architectural compromise. Its purpose-built design for the Blackwell generation and ecosystem support accelerate time-to-deployment for complex AI systems. Omnixon Global stocks and sources the NVIDIA HGX B200 for data centre, AI lab, and enterprise customers across the UAE, GCC, and Asia-Pacific regions. To request a detailed technical briefing, configuration consultation, or formal quotation for single or multi-board deployments, contact our enterprise sales team today.

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