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Blackwell · air cooled · 8 GPUs per server

RTX PRO 6000 enterprise AI factory

Air-cooled servers with eight RTX PRO 6000 Blackwell Server Edition GPUs each: the most accessible AI factory for enterprise agents, visual computing and physical AI.

Configure an RTX PRO serverPlan an AI factory with us
  1. AI factories
  2. RTX PRO 6000 enterprise AI factory

Not every AI factory needs HBM and liquid cooling. Many enterprises want to run private agents, document search and retrieval, coding assistants and image or video models for hundreds of staff, and perhaps render, simulate or build digital twins on the same kit. The RTX PRO 6000 Blackwell Server Edition was made for exactly that mix.

Each GPU has 96 GB of GDDR7 and 4 PFLOPS of FP4 AI performance, and it can be split into up to four fully isolated instances so several teams or services share one card safely. Eight of them fit in an air-cooled server, giving 768 GB of GPU memory per node, and a reference rack of four nodes draws around 33 to 37 kW.

That means an AI factory you can host in many existing server rooms and colocation suites, built on the same NVIDIA AI Enterprise software as the largest systems. We also build our own Workstation 4U 8-GPU and 2U 4-GPU RTX PRO servers in the UK.

Para quién es

  • Enterprises deploying private agents, RAG and copilots for many staff
  • Design, engineering and media teams combining AI with rendering and simulation
  • Manufacturers and robotics teams building digital twins with Omniverse
  • Organisations whose rooms are limited to air cooling
96 GB
GDDR7 per GPU
768 GB
GPU memory per 8-GPU server
4 PF
FP4 per GPU
~35 kW
Per 4-node reference rack

What it does for you

Agents and retrieval at enterprise scale

Serve 70B-class models, embeddings and rerankers side by side, close to your documents and systems, with no data leaving your network.

AI plus graphics in one server

Fourth-generation RT cores and full graphics support mean the same GPUs render, stream virtual workstations and run Omniverse when they are not serving models.

Share GPUs safely

Multi-Instance GPU splits each card into up to four isolated slices, so smaller services and teams get guaranteed capacity without buying whole GPUs.

Air cooled

Standard air-cooled servers and racks, with far lower power per rack than HBM platforms, make this the easiest AI factory to host.

Reference configuration

A typical RTX PRO AI factory node and rack.

GPUNVIDIA RTX PRO 6000 Blackwell Server Edition, 96 GB GDDR7 with ECC, 1,597 GB/s
Rendimiento de IA4 PFLOPS FP4 per GPU
GPU powerUp to 600 W per GPU (configurable)
PartitioningUp to four Multi-Instance GPU slices per card
Per server8 GPUs, 768 GB GPU memory, dual Xeon or EPYC
RedSpectrum-X Ethernet with ConnectX SuperNICs or BlueField-3
EscalaTypically 4 to 8 nodes per rack; up to 32 nodes (256 GPUs) per scalable unit
SoftwareNVIDIA AI Enterprise, NIM, Omniverse, Run:ai, Kubernetes

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

The friendliest AI factory to host.

Rack powerAround 33.3 to 36.6 kW for four 8-GPU nodes (published reference figure)
RefrigeraciónAir cooling with good containment; liquid-cooled GPU variants exist for dense builds
RackStandard deep server racks
RedEthernet leaf and spine, often integrated with your existing data-centre network

Choose it when

  • Your main workloads are inference, agents, RAG and visual computing
  • You need air cooling and moderate power per rack
  • You want to start small, even with one 4-GPU server, and grow

Look at something else when

  • You train large models from scratch or serve frontier-size models: HBM platforms such as HGX B300 are far faster
  • You need FP64 simulation: HGX B200 or GB200

How we deliver it

One accountable UK team from sizing to day-two operations

Use-case mapping

We map your agents, retrieval, graphics and simulation workloads to GPUs, slices and servers.

UK-built servers

Workstation RTX PRO servers built, burned in and imaged in the UK, or partner servers if you prefer a brand.

Platform set-up

Kubernetes, NIM, vector database, identity and observability configured for self-service.

Secure operation

WSL Proxy at the edge, WSL Vault for secrets and SysOps247 monitoring.

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.

Membresía Trade

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

Descubra la membresía Trade

Preguntas frecuentes

How big a model can one server run?

With 768 GB across eight GPUs, one server can serve models in the 70B to 200B+ parameter range at FP8 or FP4, or many smaller models at once.

Can we start with fewer GPUs?

Yes. Our 2U server takes up to four RTX PRO 6000 Server Edition GPUs, and the 4U server can start with two and grow to eight.

Is the Server Edition the same as the Workstation Edition?

No. The Server Edition is passively cooled for server airflow and is the right card for racks. Workstation and Max-Q editions are designed for desk-side towers.

Related reading on our site

IA privadaAI agentsWorkstation GPUs

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.

Configure an RTX PRO serverPlan an AI factory with us

Other AI factory solutions

All AI factory solutions

HGX B300 32-GPU AI factory rack

Blackwell Ultra · 4 nodes · 32 GPUs

Four 8-GPU Blackwell Ultra servers, an 800 Gb/s fabric and fast storage in one tested rack: the most practical way to put serious reasoning and training capacity into a standard data hall.

View solution

HGX B200 AI and HPC cluster

Blackwell · 8 GPUs per node · full FP64

8-GPU Blackwell servers that are equally at home training models and running double-precision science, built into clusters of one to 32 nodes.

View solution

GB300 NVL72 rack-scale system

Grace Blackwell Ultra · 72 GPUs · one NVLink domain

72 Blackwell Ultra GPUs and 36 Grace CPUs joined into a single liquid-cooled NVLink domain: one rack that behaves like one enormous GPU.

View solution

GB200 NVL72 rack-scale system

Grace Blackwell · 72 GPUs · liquid cooled

The first rack-scale Grace Blackwell system: 72 GPUs in one NVLink domain for trillion-parameter models, with strong double precision for science.

View solution

NVIDIA DGX SuperPOD

DGX B300 or DGX GB300 · scalable units · Mission Control

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

View solution

H200 NVL inference servers

Hopper · PCIe · 141 GB HBM3e

PCIe Hopper GPUs with 141 GB of HBM3e each, bridged in groups of two or four: high-memory inference that drops into existing air-cooled racks.

View solution

Vera Rubin NVL72: planning the next generation

Rubin · HBM4 · NVLink 6

72 Rubin GPUs with HBM4 and 36 Vera CPUs in one liquid-cooled rack. If you are building capacity for 2027 and beyond, the facility decisions start now.

View solution

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.

View solution

Compal SGX30-2 HGX B300 server

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.

View solution