NVIDIA DGX B200
Eight Blackwell GPUs and 1,440GB of HBM3e in NVIDIA’s unified training and inference platform.
We help you choose, configure, and deliver the right system — no obligation.
Configuration at a Glance
Tailored per engagement. Full technical overview below.
Configuration Options
Core specifications for this system. Every component is configurable to your workload — request a quote for a tailored build.
8× NVIDIA Blackwell B200
Dual Intel Xeon Platinum
1,440GB HBM3e total
Overview
DGX B200 is NVIDIA’s Blackwell-generation enterprise AI system, pairing eight B200 GPUs on an NVLink baseboard with 1,440GB of HBM3e and a fifth-generation NVSwitch fabric. It is bought as a complete, supported platform rather than assembled: NVIDIA specifies the chassis, the networking and the software environment together, which is the point for teams that want one accountable vendor across the stack. We source, configure and deliver it with the fabric and storage specified alongside.
Who This Solution Is For
Business Benefits
One accountable vendor
NVIDIA specifies and supports the platform end to end, including the software stack.
Blackwell generation
Eight B200 GPUs with 1,440GB HBM3e for the largest models a single node can hold.
A designed scaling path
DGX nodes are the building block of SuperPOD, so growth is an architecture rather than an improvisation.
Delivered configured
We quote and deliver it with the InfiniBand fabric, storage and rack power specified together.
Typical Business Use Cases
Large language model training and fine-tuning
High-throughput production inference
Multi-node clusters built to the SuperPOD reference architecture
Consolidating mixed AI workloads onto one supported platform
Industry Applications
Technical Overview
A 10U air-cooled system with eight NVIDIA B200 GPUs on an NVLink baseboard, fifth-generation NVSwitch, dual Intel Xeon Platinum processors, and OSFP ports for 400Gb/s InfiniBand or Ethernet. Exact CPU, memory and storage configuration is confirmed against the current NVIDIA revision at quotation.
| GPU / Accelerator | 8× NVIDIA Blackwell B200 |
| GPU Memory | 1,440GB HBM3e total |
| GPU Interconnect | 5th-generation NVLink with NVSwitch |
| CPU | Dual Intel Xeon Platinum |
| System Memory | Up to 4TB DDR5 (configuration confirmed at quote) |
| Networking | OSFP ports for 400Gb/s InfiniBand or Ethernet; BlueField-3 DPUs |
| Form Factor | 10U rackmount, air-cooled |
| Sourcing | Configured and supplied by Nexus Compute; availability confirmed with quote |
Specifications are indicative and configured to each engagement. Request a quote for a configuration tailored to your requirements.
Warranty, Support & Fulfillment
Every system ships from an authorized channel, configured and tested, with the documentation enterprise buyers need — backed by warranty and a dedicated account team.
Enterprise Warranty
Full manufacturer warranty with optional on-site, next-business-day support and extended coverage.
Authorized Channel
Sourced through Tier-1 distribution and OEM partners — never grey market. Asset & warranty records included.
Lead Time & Deployment
48-hour quotes, then configured, burn-in tested, and delivered on a committed schedule.
Nationwide Fulfillment
Coordinated logistics, rack-and-stack, and delivery wherever your infrastructure lives.
Frequently Asked Questions
How does DGX B200 compare to DGX H100?
B200 is the Blackwell generation and carries substantially more GPU memory — 1,440GB of HBM3e against 640GB of HBM3 on DGX H100. For training and inference on the largest models that memory is usually the deciding factor, because it changes how much of a model fits on one node. It is also a physically larger and higher-power system, so the rack and cooling conversation is different.
How is DGX quoted and delivered?
As a configured system rather than a boxed part. We confirm the exact platform revision, the networking and storage around it, rack power and cooling requirements, and the support term, then issue an itemised quote. Current availability and lead time are stated on that quote — accelerator allocation moves, and any figure published on a web page would be wrong for most buyers by the time they read it.
Should I buy DGX or an HGX system from Dell, Supermicro or HPE?
The GPUs and the NVLink fabric are the same silicon either way. DGX gives you one vendor accountable for the whole stack including the software environment, and is the designed unit if you are heading toward SuperPOD. An HGX system from a server vendor gives you your existing management tooling, support relationship and configuration choices. If your operations are already standardised on Dell or HPE, that consistency is frequently worth more than it looks on a spreadsheet. We supply both and will tell you which fits.
Can you supply the networking and storage as well?
Yes, and these should be quoted together. A DGX node without its InfiniBand fabric, parallel storage and rack power is not a working cluster. We specify the switches, cables, optics and layout alongside the systems.
Hardware Assistance
Configure the NVIDIA DGX B200 with Nexus Compute
Tell us your requirements and a hardware specialist will help you specify, configure, and quote the right system — typically within two business days. No obligation.