NVIDIA Blackwell Architecture
8 Blackwell GPUs with 1.4 TB HBM3e and second-generation Transformer Engine — 3× training and 15× inference performance gains over the DGX H100.
The World's First Blackwell AI Supercomputer.
NVIDIA DGX B200 is the first enterprise AI system built on NVIDIA Blackwell GPUs — 72 petaFLOPS FP8 training, 144 PFLOPS FP4 inference, 1.4 TB total GPU memory, 14.4 TB/s NVLink bandwidth. 3× faster training and 15× faster inference vs DGX H100.
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8 Blackwell GPUs with 1.4 TB HBM3e and second-generation Transformer Engine — 3× training and 15× inference performance gains over the DGX H100.
2x NVLink Switch Systems create a fully connected 8-GPU domain at 14.4 TB/s — all GPUs communicate as one unified memory and compute entity.
8x single-port ConnectX-7 VPI NICs and 2x BlueField-3 DPUs provide 400 Gb/s per port for scaling into multi-node DGX SuperPOD clusters.
Automates cluster provisioning, workload scheduling via Run:ai, health monitoring, autonomous fault recovery, and AI factory operations end-to-end.
NVIDIA AI Enterprise provides NIM microservices, optimised training frameworks, pretrained models, and DLI training credits exclusively for DGX customers.
The core compute node of DGX BasePOD and SuperPOD — certified, tested, and supported for multi-rack scale-out AI factory deployments.
Handles the full AI pipeline — data prep, training, fine-tuning, inference — on a single unified platform without workload migration or toolchain changes.
3-year hardware and software support with 24/7 portal access and NVIDIA DGXpert engineering expertise included.
NVIDIA DGX B200 is the first enterprise AI system built on the Blackwell GPU architecture. Eight Blackwell GPUs with 1.4 TB total HBM3e memory and a second-generation Transformer Engine deliver capabilities that make billion-parameter model training and real-time trillion-parameter inference accessible within a single enterprise server.
The performance gains over the previous DGX H100 are substantial and measurable: 3× faster training throughput for large language models, and 15× faster real-time inference per GPU. These represent a qualitative change in what enterprises can achieve with on-premises AI infrastructure — bringing workloads previously only feasible in hyperscale cloud into the enterprise data centre.
DGX B200 ships as a complete validated platform with hardware, software, and support in a single 3-year subscription. NVIDIA Mission Control manages the operational complexity so enterprise IT can focus on AI outcomes. DGX BasePOD and SuperPOD compatibility ensures it can grow from a single-node AI server to a multi-rack AI factory as ambitions scale.
3× faster LLM training vs DGX H100 — train and fine-tune GPT-class models on proprietary data in days rather than weeks.
15× faster per-GPU inference makes enterprise-hosted LLM APIs viable at production scale — cost-effective versus cloud inference long-term.
Accelerate molecular dynamics, protein structure prediction, and genomics with Blackwell's FP64, FP16, and INT8 performance.
First DGX node for an enterprise AI Centre of Excellence — expandable to DGX SuperPOD as AI investment and ambition grows.
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Our engineers will help you select the right product and advise on compatibility with your existing infrastructure.
Most products ship from UK stock. Express delivery available for urgent deployments.
All products are genuine, brand-new, with full manufacturer warranty and RMA support.
We can pre-configure your hardware before shipping — reducing on-site deployment time and cost.
Post-sale support from our certified engineers. We're here if anything goes wrong.