NVIDIA DGX B200 AI Supercomputer – 8x NVIDIA B200 Blackwell GPUs, 10U Rack, Enterprise AI & HPC

The NVIDIA DGX B200 AI Supercomputer is a next-generation enterprise AI system designed to accelerate demanding generative AI, deep learning, machine learning, large language model (LLM), and high-performance computing (HPC) workloads.

Built around NVIDIA Blackwell GPU architecture, the DGX B200 integrates 8 NVIDIA B200 GPUs into a high-density 10U system. The multi-GPU architecture is designed to deliver massive parallel computing capability for AI model training, inference, analytics, scientific computing, and other accelerated workloads.

The system features a dual CPU architecture combined with high-capacity system memory and enterprise-grade NVMe storage, providing a balanced platform for large datasets, AI pipelines, model development, and data-intensive workloads.

Designed for enterprise AI infrastructure, the DGX B200 can be deployed in data centers for applications such as generative AI, LLM training and inference, computer vision, natural language processing, recommendation systems, scientific research, and HPC.

Key Specifications

• Product: NVIDIA DGX B200 AI Supercomputer
• Form Factor: 10U Rack System
• GPU: 8 x NVIDIA B200 Blackwell GPUs
• Architecture: NVIDIA Blackwell
• CPU: Dual CPU Architecture
• System Memory: High-Capacity System RAM
• Storage: Enterprise NVMe Storage
• Primary Applications: Generative AI, Machine Learning, Deep Learning and HPC
• Workloads: LLM Training, AI Inference, Computer Vision, Data Analytics and Scientific Computing
• Deployment: Enterprise Data Centers and AI Infrastructure

Key Benefits

• 8x NVIDIA B200 Blackwell GPU architecture
• High-density accelerated AI computing
• Designed for generative AI and LLM workloads
• Suitable for AI model training and inference
• High-capacity system memory
• Enterprise NVMe storage for data-intensive workloads
• Dual CPU architecture
• 10U rack-based enterprise design
• Suitable for HPC and scientific computing
• Designed for large-scale enterprise AI infrastructure