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DGX B300 or DGX GB300 · scalable units · Mission Control

NVIDIA DGX SuperPOD

NVIDIA's validated, turnkey AI supercomputer, built from DGX B300 or DGX GB300 systems in standard scalable units and run with Mission Control.

DGX BasePOD in the shopPlan an AI factory with us
  1. AI factories
  2. NVIDIA DGX SuperPOD

Some organisations want to make as few design decisions as possible. DGX SuperPOD is for them. It is NVIDIA's own reference architecture for a complete AI supercomputer, specifying the DGX systems, the compute, storage and management networks, certified storage partners and the software, all validated together by NVIDIA.

The Blackwell Ultra generation comes in two flavours. DGX GB300 is the liquid-cooled rack-scale option with 72 GPUs per rack. DGX B300 is an air-cooled 10U system with eight GPUs, 2.1 TB of GPU memory and around 14 kW of power, for halls without liquid cooling. Both are deployed in scalable units, and published reference designs extend to well over 100 racks.

Our role is to make that blueprint real in your building: site readiness, logistics, integration with your identity and storage, and the operational processes that keep a SuperPOD productive for years.

Who it suits

  • Enterprises and governments that want an NVIDIA-validated architecture and support path
  • AI labs scaling to hundreds or thousands of GPUs
  • Organisations that prefer DGX systems with NVIDIA's own software and support
8
DGX GB300 racks per scalable unit (576 GPUs)
2.1 TB
GPU memory per DGX B300
~14 kW
Per DGX B300 system
1
Vendor-validated design, end to end

What it does for you

Validated, not improvised

Compute, fabric, storage and software are a tested combination. That removes most of the integration risk that slows down large clusters.

Mission Control included in the design

NVIDIA Mission Control handles job scheduling, health monitoring, failure detection and recovery across the whole SuperPOD, so a failed node costs minutes, not a weekend.

Air or liquid, your choice

DGX B300 suits air-cooled halls; DGX GB300 brings rack-scale NVLink where liquid cooling is available. Both follow the same operational model.

Grows in identical units

Capacity is added a scalable unit at a time, with the fabric and storage sized for the next step from day one.

Reference configuration

Building blocks of a Blackwell Ultra DGX SuperPOD (NVIDIA figures).

DGX B300 system8 × Blackwell Ultra SXM, 2.1 TB GPU memory, Intel Xeon 6776P, 10U, ~14 kW
DGX B300 performanceFP4 144 | 108 PFLOPS, FP8 72 PFLOPS (sparse)
DGX B300 networking8 × ConnectX-8 (up to 800 Gb/s each), 2 × BlueField-3 DPUs (up to 400 Gb/s)
DGX GB300 rack72 Blackwell Ultra GPUs and 36 Grace CPUs, liquid cooled
Scalable unit (GB300)8 DGX GB300 racks
SoftwareDGX OS, NVIDIA AI Enterprise, NVIDIA Mission Control
StorageNVIDIA-certified high-performance storage partners
SupportNVIDIA enterprise support, with Workstation as your UK point of contact

Figures are NVIDIA's published specifications for the platform. Where NVIDIA quotes two Tensor Core figures, the first assumes sparsity and the second is dense. The exact build (CPUs, memory, storage, cooling, networking) is agreed with you and confirmed on a written quote.

Facility check before anything is ordered

A SuperPOD is planned with your facility team from the first conversation.

PowerAround 14 kW per DGX B300; well over 100 kW per DGX GB300 rack
CoolingAir with containment for DGX B300; direct liquid cooling for DGX GB300
SpaceCompute, network and storage racks for the full scalable unit, with room to add the next
TimelineSupply, facility work and installation planned as one programme

Choose it when

  • You want NVIDIA's validated design and support model rather than a custom build
  • You plan to grow to multiple racks and want a fixed blueprint for growth

Look at something else when

  • You want flexibility over server maker, CPU and storage: an HGX B300 or B200 factory is more configurable
  • You need a smaller starting point: begin with a DGX BasePOD or a single HGX rack

How we deliver it

One accountable UK team from sizing to day-two operations

Programme planning

Supply, facility upgrades, installation and acceptance planned as one schedule with clear owners.

Site readiness

Power, cooling, cabling pathways and storage integration prepared before delivery.

Integration

Identity, storage, monitoring and network integration with your existing environment.

Run and support

Mission Control operations, UK first-line support and escalation to NVIDIA.

Supply, lead times and export controls

NVIDIA data-centre GPUs are allocated by NVIDIA and the server makers, and lead times are measured in months rather than weeks. Complete, tested systems usually get allocation sooner than loose parts, so we quote these platforms as built systems. Shipments outside the UK, and many advanced GPUs within it, need an end-user and end-use check under UK and US export rules before we can confirm supply.

Trade membership

Trade members get our engineers' time on sourcing and design questions, early stock and waitlist priority, and free technical support on every order.

Explore Trade membership

Frequently asked questions

What is the difference between DGX BasePOD and DGX SuperPOD?

BasePOD is NVIDIA's reference architecture for smaller DGX deployments of a few systems. SuperPOD is the full-scale design for hundreds to thousands of GPUs, with stricter specifications for networking, storage and management.

Do we have to use NVIDIA storage?

SuperPOD uses NVIDIA-certified storage from partner vendors. We help you choose one that fits your existing estate and skills.

Related reading on our site

GB300 NVL72DGX and AI factory platformsAI factory networking

Thinking about an AI factory?

Tell us what you want it to produce, how many people will use it and where it would live. An engineer will come back with a sized recommendation and an honest view on whether owning makes sense for you.

DGX BasePOD in the shopPlan an AI factory with us

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AI factory networking

800 Gb/s per GPU today · 1.6 Tb/s next

Quantum InfiniBand or Spectrum-X Ethernet, SuperNICs, DPUs and cabling: the fabric that decides whether your GPUs work as one machine.

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NVIDIA-Certified · 10U · air cooled · available to order

An NVIDIA-Certified, air-cooled 10U server with eight Blackwell Ultra GPUs, 3 TB of DDR5 and an 800G port per GPU: our standard building block for an HGX B300 AI factory.

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