The NVIDIA DGX B200 is a powerful AI supercomputer designed for enterprise and research use. It features 8 NVIDIA Blackwell GPUs, up to 4 TB of system memory, and high-speed networking, making it ideal for training and deploying large language models, generative AI, advanced inference, and scientific computing. It includes the full NVIDIA AI software stack (additional charge may apply) and is built for on-premise AI infrastructure as part of DGX BasePOD and SuperPOD solutions.

The DGX B200 is a next-generation upgrade over the DGX H100 & H200, offering major improvements in performance, memory, and AI model handling:

Summary:

• H100: Great for general AI training and HPC, computer vision NLP and deep learning. Offers an excellent balance between compute power and memory for most AI workloads.
• H200: Boosted memory version of H100; ideal for larger, memory-bound models like LLMs, memory-intensive AI inference and foundational model tuning.
• B200: The next-gen flagship; ideal for training and deploying large-scale LLMs, generative AI at scale and multi-GPU systems.

The DGX B200 is optimised for demanding AI workloads such as large-scale deep learning training, generative AI (including LLMs and diffusion models), high-performance inference, data analytics, and scientific computing. With its 8 Blackwell GPUs, ultra-fast memory, and high-speed networking, it's especially well-suited for enterprises and research institutions developing foundation models, deploying real-time AI applications, or running complex simulations.

Yes. Scan is an official UK NVIDIA Elite Partner offering the DGX B200 with full configuration, deployment, and support services. Scan is a DGX MSP (Managed Services Provider) that enables businesses to access the power of DGX infrastructure, like the DGX B200, without needing the skillset on-site to oversee the infrastructure. Instead, DGX MSPs provide full wraparound services to assist with anything from the initial deployment & configuration through to on-going services that encompass support, updates and overall platform management.

The NVIDIA DGX B200 is a high-performance AI system featuring 8× NVIDIA Blackwell B200 GPUs with 1,440 GB of HBM3e memory, delivering up to 72 petaFLOPS of AI training performance. It includes dual Intel Xeon Platinum CPUs, up to 2 TB of system RAM (expandable to 4 TB), and a mix of NVMe SSD storage for OS and data caching. The system supports high-speed networking with up to 400 Gb/s InfiniBand or Ethernet and comes with advanced software tools including NVIDIA AI Enterprise and Base Command. It fits into a 10U rack space and consumes up to 14.3 kW of power.

Scan provides full deployment services, including consultation, infrastructure assessment, rack integration, and ongoing support, tailored for enterprise and research environments.

Yes, the DGX B200 is purpose-built for on-premise AI infrastructure. It delivers powerful performance for training, inference, and analytics with 8 Blackwell GPUs, high-bandwidth NVSwitch interconnects, and up to 4 TB of system memory. Its 10U rackmount form factor, enterprise-grade networking (up to 400 Gb/s), and support for NVIDIA AI Enterprise software make it ideal for datacenters and organisations deploying advanced AI workloads on-site. However, if you can’t host this internally, we have several data centre partnerships in place to assist with co-location services as part of a complete services contract with SCAN.

The DGX B200 is ideal for CTOs, AI infrastructure leads, data centre architects, and researchers in enterprise, healthcare, academia, and government sectors needing cutting-edge performance for training and deploying AI models.

The Blackwell GPU architecture is designed specifically for next-generation AI workloads, offering major advances in performance, efficiency, and scalability. Key features include:

• Transformational AI performance: Supports FP4 and FP8 formats for massive throughput—ideal for training and inference of large language models and generative AI.
• Second-gen Transformer Engine: Accelerates training and inference of transformer-based models more efficiently than previous architectures.
• Enhanced NVLink bandwidth: Enables faster GPU-to-GPU communication for multi-GPU systems like the DGX B200.
• Advanced memory architecture: Uses high-capacity HBM3e memory for up to 1.5 TB/s bandwidth per GPU.
• Security and reliability: Includes confidential computing and RAS (reliability, availability, and serviceability) features to support enterprise and mission-critical environments.

These innovations make Blackwell GPUs particularly well-suited for ultra-large-scale AI models, delivering breakthrough performance in both compute and energy efficiency.

Yes. Scan can assess your current infrastructure and deliver a fully compatible DGX B200 deployment plan, including cooling, networking, and power considerations.

Absolutely. The DGX B200 is built for scalable AI infrastructure and can be clustered into DGX BasePODs or DGX SuperPODs. By interconnecting multiple DGX B200 systems using NVIDIA Quantum-2 InfiniBand or Ethernet with ConnectX-7 and BlueField-3, organisations can build AI datacenters capable of training and deploying the largest generative AI models and LLMs. These clusters benefit from the DGX B200’s ultra-fast NVLink and NVSwitch architecture for multi-node GPU communication, ensuring minimal bottlenecks at scale.

The DGX B200 is purpose-built to accelerate generative AI and LLM workloads at scale. It features 8 Blackwell GPUs with a combined 1,440 GB of HBM3e memory and up to 72 petaFLOPS of AI training performance, enabling it to train and fine-tune massive models efficiently. The system's second-gen Transformer Engine, high-bandwidth NVSwitch interconnects, and support for FP4/FP8 precision allow for faster training and inference of transformer-based architectures. Integrated with the NVIDIA AI software stack, the DGX B200 offers a complete platform for developing, deploying, and managing LLMs and generative AI applications both on-premise and in hybrid environments..

The NVIDIA DGX B200 is equipped with advanced networking features designed to meet the demands of high-performance AI workloads:

• High-Speed Connectivity: It includes 4 OSFP ports accommodating 8 single-port NVIDIA ConnectX-7 VPI adapters, each supporting up to 400 Gb/s for both InfiniBand and Ethernet connections.
• Data Processing Units (DPUs): The system features 2 dual-port QSFP112 NVIDIA BlueField-3 DPUs, each capable of up to 400 Gb/s, facilitating efficient data handling and network offloading.
• Management Networking: : For system management, it provides a 10 Gb/s onboard NIC with RJ45, a 100 Gb/s dual-port Ethernet NIC, and a host baseboard management controller (BMC) with RJ45.

These networking capabilities ensure that the DGX B200 can handle intensive data transfer requirements, making it suitable for scalable AI deployments and integration into high-performance computing environments.

As pricing depends on configuration and support options, contact Scan’s enterprise team for a tailored quote and expert consultation.