Description

The NVIDIA DGX B200 is a complete 10U enterprise AI computing system designed to deliver high-density accelerated computing for demanding artificial intelligence and high-performance computing workloads.

At its core, the system integrates eight NVIDIA Blackwell B200 GPUs, providing a combined 1,440GB of HBM3e GPU memory and up to 64TB/s of aggregate GPU memory bandwidth. The platform delivers up to 144 PFLOPS of FP4 Tensor Core AI performance and up to 72 PFLOPS of FP8 Tensor Core performance, making it suitable for large language models, generative AI, multimodal AI, recommendation systems, scientific computing, and other compute-intensive workloads.

The eight GPUs are interconnected through two fifth-generation NVIDIA NVLink switches, providing up to 14.4TB/s of aggregate NVLink bandwidth. This high-bandwidth GPU fabric enables efficient communication between GPUs and helps DGX B200 operate as a tightly integrated accelerated computing platform rather than as eight independent graphics processors.

The system uses two Intel Xeon Platinum 8570 processors, each providing 56 cores, for a total of 112 CPU cores. The standard configuration includes 2TB of system memory, expandable to 4TB, providing substantial CPU-side capacity for data preprocessing, orchestration, analytics, virtualization, and AI infrastructure workloads.

For high-speed cluster connectivity, DGX B200 incorporates eight NVIDIA ConnectX-7 single-port networking adapters, providing up to 400Gb/s InfiniBand or Ethernet per connection. Two dual-port NVIDIA BlueField-3 DPUs provide additional high-speed networking and infrastructure acceleration for storage, management, and data-center workloads.

Storage includes two 1.92TB NVMe M.2 drives configured as RAID 1 for the operating system and eight 3.84TB NVMe U.2 self-encrypting drives configured as RAID 0 for data/cache workloads. This provides approximately 34.56TB of raw internal NVMe capacity across the documented drive configuration.

DGX B200 is supplied as a complete 10U rackmount system with six 3.3kW power supplies and a maximum system power specification of approximately 14.3kW. It is designed for professional data-center environments with appropriate rack infrastructure, power distribution, cooling, and high-speed network connectivity.

The platform supports NVIDIA’s enterprise AI software ecosystem, including NVIDIA DGX OS / Ubuntu, NVIDIA AI Enterprise, NVIDIA Mission Control, CUDA, and the broader NVIDIA AI software stack, making it suitable for deployment as a foundation for enterprise AI factories and scalable DGX SuperPOD environments.

Complete Technical Specification

Specifications are based on NVIDIA’s current DGX B200 documentation; configuration-dependent options should be confirmed against the exact system configuration before purchase.

Applications

Artificial Intelligence & Machine Learning

• Large Language Model (LLM) training
• LLM inference
• Generative AI
• Multimodal AI
• AI model fine-tuning
• Recommendation systems
• Computer vision
• Speech and natural-language processing
• Transformer-based workloads

High-Performance Computing

• Scientific research
• Computational simulations
• Engineering workloads
• Financial modeling
• Data analytics
• Molecular and pharmaceutical research
• Climate and weather modeling

Enterprise AI

DGX B200 can serve as a centralized AI infrastructure platform for enterprises developing and deploying large-scale AI applications, supporting both model development and production inference.

AI Infrastructure

The combination of Blackwell GPUs, NVLink, ConnectX-7 networking, BlueField-3 DPUs, and NVIDIA enterprise software makes DGX B200 suitable for integration into NVIDIA DGX SuperPOD and large-scale AI data-center environments.

Compatibility

The NVIDIA DGX B200 is a complete integrated rackmount system, rather than a conventional server motherboard or standalone GPU.

It is designed for compatibility with:

• NVIDIA DGX infrastructure
• NVIDIA DGX SuperPOD architectures
• NVIDIA AI Enterprise software
• NVIDIA DGX OS
• CUDA-based applications
• NVIDIA AI software ecosystem
• 400Gb/s InfiniBand infrastructure
• 400GbE Ethernet infrastructure
• Enterprise data-center rack environments
• High-capacity data-center power distribution
• Appropriate high-performance cooling infrastructure

The system requires appropriate 10U rack space, high-capacity power distribution, data-center cooling, and high-speed networking. It should not be treated as a standard workstation or conventional 2U/4U GPU server.

Key Benefits

🚀 Extreme AI Performance

Eight NVIDIA Blackwell B200 GPUs provide up to 144 PFLOPS FP4 Tensor Core performance and 72 PFLOPS FP8 performance for demanding AI workloads.

🧠 Massive GPU Memory

The system provides 1.44TB of aggregated HBM3e GPU memory, allowing large models and datasets to be processed with significantly reduced reliance on slower external memory.

⚡ High-Bandwidth GPU Fabric

Fifth-generation NVLink and two NVSwitch systems provide up to 14.4TB/s aggregate GPU interconnect bandwidth.

🌐 400Gb/s Networking

Eight ConnectX-7 adapters provide high-speed InfiniBand or Ethernet connectivity of up to 400Gb/s per connection, supporting scalable multi-node AI clusters.

🔐 Integrated DPU Acceleration

BlueField-3 DPUs accelerate networking, storage, and infrastructure services while helping separate infrastructure processing from GPU compute resources.

💾 High-Capacity NVMe Storage

The documented configuration combines mirrored OS storage with high-capacity NVMe data/cache storage for demanding AI pipelines.

🏢 Enterprise-Ready Platform

DGX B200 combines hardware, networking, system software, management, and NVIDIA AI software into an integrated platform designed for enterprise AI deployment.

📈 Scalable AI Infrastructure

DGX B200 systems can be combined into larger NVIDIA DGX SuperPOD architectures for large-scale AI and HPC environments.

SEO Title

NVIDIA DGX B200 AI Supercomputer – 8× Blackwell B200 GPUs, 1.44TB HBM3e, 400Gb/s Networking