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NVIDIA DGX B200 8x Blackwell GPU AI supercomputer for enterprise generative AI
NVIDIA DGX NVIDIA-DGX-B200
72 PFLOPS
FP8 training performance
1.4TB Memory
Total GPU HBM3e
15× Faster
LLM inference vs H100
10RU Form
Air-cooled chassis
Authorised Reseller
📦 Free UK Delivery
🔒 Full Warranty
📞 24/7 Support
Key Specifications
GPU8x NVIDIA Blackwell GPUs
GPU Memory1,440 GB (1.4 TB) HBM3e — 64 TB/s bandwidth
FP8 Training72 PFLOPS (with sparsity)
FP4 Inference144 PFLOPS (with sparsity)
NVLink2x NVLink Switch System — 14.4 TB/s aggregate
CPU2x Intel Xeon Platinum 8570, 112 cores, 2.1 / 4.0 GHz
System Memory2 TB (configurable to 4 TB)
Networking8x ConnectX-7 VPI OSFP (400 Gb/s) + 2x BlueField-3 DPU
+6 more specs below ↓
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Download Official Datasheet
PDF · Official manufacturer document
NVIDIA DGXSKU: NVIDIA-DGX-B200

NVIDIA DGX B200 — Blackwell AI Supercomputer for Enterprise

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.

  • 8x NVIDIA Blackwell GPUs — 1.4 TB total HBM3e (64 TB/s bandwidth)
  • 72 PFLOPS FP8 training / 144 PFLOPS FP4 inference — 3× training vs DGX H100
  • 15× faster real-time LLM inference per GPU vs DGX H100
  • 14.4 TB/s NVLink aggregate — 2x NVLink Switch Systems
  • Dual Intel Xeon Platinum 8570, 112 cores, 2–4 TB system memory
  • 8x ConnectX-7 VPI NICs — up to 400 Gb/s InfiniBand/Ethernet
  • NVIDIA AI Enterprise + Mission Control software stack included
  • 3-year enterprise hardware and software support

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Key Features

Everything you need in one device

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.

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14.4 TB/s NVLink Bandwidth

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.

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400 Gb/s ConnectX-7 Networking

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.

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Mission Control AI Operations

Automates cluster provisioning, workload scheduling via Run:ai, health monitoring, autonomous fault recovery, and AI factory operations end-to-end.

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Complete AI Software Stack

NVIDIA AI Enterprise provides NIM microservices, optimised training frameworks, pretrained models, and DLI training credits exclusively for DGX customers.

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BasePOD & SuperPOD Certified

The core compute node of DGX BasePOD and SuperPOD — certified, tested, and supported for multi-rack scale-out AI factory deployments.

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Universal AI Pipeline Platform

Handles the full AI pipeline — data prep, training, fine-tuning, inference — on a single unified platform without workload migration or toolchain changes.

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Enterprise Support Included

3-year hardware and software support with 24/7 portal access and NVIDIA DGXpert engineering expertise included.

About the NVIDIA DGX B200

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.

Technical Specifications

GPU8x NVIDIA Blackwell GPUs
GPU Memory1,440 GB (1.4 TB) HBM3e — 64 TB/s bandwidth
FP8 Training72 PFLOPS (with sparsity)
FP4 Inference144 PFLOPS (with sparsity)
NVLink2x NVLink Switch System — 14.4 TB/s aggregate
CPU2x Intel Xeon Platinum 8570, 112 cores, 2.1 / 4.0 GHz
System Memory2 TB (configurable to 4 TB)
Networking8x ConnectX-7 VPI OSFP (400 Gb/s) + 2x BlueField-3 DPU
StorageOS: 2x 1.9 TB NVMe M.2; Internal: 8x 3.84 TB NVMe U.2
Form Factor10 RU (444mm H × 482.2mm W × 897.1mm D)
Power~14.3 kW max
OS SupportNVIDIA DGX OS, Ubuntu, Red Hat Enterprise Linux, Rocky
SoftwareNVIDIA AI Enterprise, NVIDIA Mission Control, NVIDIA Run:ai
Support3-year business-standard hardware and software support
📄 Download Datasheet (PDF)
Use Cases

Ideal for a wide range of deployments

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Generative AI Training

3× faster LLM training vs DGX H100 — train and fine-tune GPT-class models on proprietary data in days rather than weeks.

Real-Time LLM Inference

15× faster per-GPU inference makes enterprise-hosted LLM APIs viable at production scale — cost-effective versus cloud inference long-term.

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Drug Discovery & Life Sciences

Accelerate molecular dynamics, protein structure prediction, and genomics with Blackwell's FP64, FP16, and INT8 performance.

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AI Centre of Excellence

First DGX node for an enterprise AI Centre of Excellence — expandable to DGX SuperPOD as AI investment and ambition grows.

FAQ

Frequently Asked Questions

Q. How does DGX B200 compare to DGX H100?

DGX B200 delivers 3× faster LLM training and 15× faster real-time inference per GPU vs H100 — via Blackwell's Transformer Engine, FP4 precision, and 1.4 TB HBM3e (vs 640 GB).

Q. What is the difference between DGX B200 and DGX B300?

DGX B300 uses Blackwell Ultra GPUs with 2.3 TB memory, ConnectX-8 800 Gb/s networking, and an OCP/MGX chassis. B300 is the current latest generation optimised for AI reasoning.

Q. Does DGX B200 support multi-node clustering?

Yes — DGX B200 is the foundation of DGX BasePOD and SuperPOD, scaling to hundreds of nodes via InfiniBand or Ethernet fabric managed by NVIDIA Mission Control.

Why Servnet

Why buy from Servnet?

Trusted UK IT reseller since 2003 — supplying businesses of all sizes with genuine, competitively priced technology.

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Authorised UK Reseller

Servnet is an authorised IT reseller with direct access to leading product lines at competitive pricing.

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Expert Pre-Sales Advice

Our engineers will help you select the right product and advise on compatibility with your existing infrastructure.

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Fast UK Delivery

Most products ship from UK stock. Express delivery available for urgent deployments.

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Genuine, Warranted Kit

All products are genuine, brand-new, with full manufacturer warranty and RMA support.

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Configuration Services

We can pre-configure your hardware before shipping — reducing on-site deployment time and cost.

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24/7 Support

Post-sale support from our certified engineers. We're here if anything goes wrong.

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