NVIDIA DGX B200 AI System

The NVIDIA DGX B200 is a flagship enterprise AI training system engineered around NVIDIA's Blackwell GPU architecture, delivering unprecedented computational performance for large-scale deep learning and generative AI workloads. Each system integrates eight NVIDIA B200 GPUs with 141 GB of HBM3e memory per GPU, unified by NVLink-C connectivity for seamless multi-GPU scaling and ultra-high bandwidth communication across the entire appliance.

The platform combines accelerated compute, optimized memory hierarchy, and advanced cooling infrastructure in a single 10U form factor, designed to streamline deployment in data center environments. DGX B200 systems support NVIDIA CUDA, cuDNN, TensorRT, and Triton Inference Server software stacks, enabling rapid model development, training optimization, and production inference across transformer-based models, large language models, and computer vision applications.

Targeted at enterprises scaling foundation model training, fine-tuning of large language models, and inference serving, the DGX B200 reduces time-to-insight for AI initiatives while maintaining computational efficiency and operational simplicity in enterprise IT infrastructure.

Ideal for

• Large language model (LLM) pre-training and fine-tuning at scale
• Generative AI model development and optimization
• Multi-modal AI training (vision-language, video understanding)
• High-throughput batch inference serving for transformer models
• Federated learning and distributed AI model training
• Enterprise deep learning research and prototype acceleration

Technical specifications

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