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RTX PRO 6000 Blackwell · 96GB GDDR7 · For AI inference

NVIDIA RTX PRO 6000 Blackwell 8-GPU servers for AI inference, in Egypt & the UAE.

Eight NVIDIA RTX PRO 6000 Blackwell GPUs with 768GB of GDDR7, two 128-core AMD EPYC 9754 processors and 3TB of memory in one rack server: built to run AI in production for many users, and to render, simulate and generate video.

RTX PRO 6000 · 96GB

768GB of GPU memory

8 × 96GB GDDR7 with ECC, and up to 1.8 TB/s per GPU.

256 AMD EPYC cores, 3TB RAM

2 × AMD EPYC 9754 with 24 × 128GB DDR5-4800 memory.

800 Gb/s of networking

Four dual-port 100GbE QSFP56 network cards.

24-month NBD server warranty

Plus a 12-month replacement warranty on the GPUs, with burn-in testing and support from our engineers.

What it’s for

Built to run AI for your whole business.

Most GPU time goes into running models, not training them. The RTX PRO 6000 does that at scale, and handles graphics too.

LLM inference and AI agents

Serve chatbots, CX agents and copilots to many users; a 70B model in FP8 fits on a single GPU.

AI video and image generation

Text-to-video, image-to-video and AI presenters, with 4 NVENC and 4 NVDEC engines per GPU.

Rendering and visualisation

188 fourth-generation RT cores per GPU for ray-traced rendering and digital twins.

Simulation and engineering

120 TFLOPS of FP32 per GPU for engineering simulation and scientific workloads.

Document AI and OCR

Run AI OCR and document models at scale, alongside our OCR Scanners.

One server, many teams

Up to 4 MIG instances of 24GB per GPU, so one server serves several teams.

Why the RTX PRO 6000

AI and graphics in one server-grade GPU.

96GB of GDDR7 per GPU

ECC memory on a 512-bit interface, with up to 1.8 TB/s of bandwidth.

Blackwell Tensor Cores

752 fifth-generation Tensor Cores and up to 3.8 PFLOPS of FP4 per GPU, for fast, efficient inference.

Multi-Instance GPU

Split each GPU into up to four isolated 24GB instances.

PCIe 5.0 x16

Fast PCIe 5.0 connections between every GPU and the AMD EPYC processors.

Media engines

4 NVENC and 4 NVDEC engines per GPU for video AI, transcoding and streaming.

Graphics built in

188 RT cores and four DisplayPort 2.1 outputs for visual workloads.

Specifications

RTX PRO 6000 Blackwell 8-GPU server specifications.

The standard configuration of our RTX PRO 6000 Blackwell 8-GPU server, with NVIDIA’s published GPU specifications. We can adjust processors, memory, storage and networking to your workload.

Server: RTX PRO 6000 Blackwell 8-GPU Server

GPUs8 × NVIDIA RTX PRO 6000 Blackwell 96GB GDDR7
Total GPU memory768GB GDDR7
Processors2 × AMD EPYC 9754: 128 cores / 256 threads each, 2.25GHz, 256MB cache
Total CPU cores256 cores / 512 threads
System memory3TB: 24 × 128GB DDR5-4800 load-reduced ECC (LRDIMM)
RAIDHardware RAID controller
Boot drives2 × 960GB SATA SSD, read-intensive (RAID 1)
Data drives4 × 7.68TB U.2 NVMe PCIe 4.0, read-intensive (RAID 5, about 23TB usable)
Networking4 × dual-port 100GbE QSFP56 PCIe low-profile NICs (8 × 100GbE)
Power4 × 3,200W Platinum power supplies
Warranty24-month Mega Build Up next-business-day (NBD) warranty on the server; 12-month replacement warranty on the GPUs

Configurations can be adjusted to your workload. The final specification is confirmed on your quote.

GPU (per card): RTX PRO 6000 Blackwell

ArchitectureNVIDIA Blackwell
CUDA cores24,064
Tensor Cores752 (5th generation)
RT Cores188 (4th generation)
GPU memory96GB GDDR7 with ECC
Memory interface512-bit
Memory bandwidthUp to 1.8 TB/s
FP32Up to 120 TFLOPS
FP4 AI performanceUp to 3.8 PFLOPS*
Multi-Instance GPUUp to 4 instances @ 24GB
Encoders / decoders4 NVENC, 4 NVDEC
Max powerUp to 600W
Display outputs4 × DisplayPort 2.1
InterfacePCIe 5.0 x16

* Theoretical FP4 performance with sparsity. Figures are NVIDIA’s published peak specifications.

How we deliver

From first call to a running system.

01

Consult & size

We review your models, users and data, and recommend the right configuration.

02

Source factory-new

New systems with genuine NVIDIA GPUs and parts.

03

Configure & burn-in

Built, updated and stress-tested before it leaves us.

04

Deliver & install

Delivery, racking, cabling and power-on by our engineers.

05

Support for life

Warranty, upgrades and expansion as your AI grows.

Compare our AI systems

From your desk to a full AI cluster.

For development

NVIDIA DGX Spark
128GB unified memory

On your desk · models of up to 200B parameters

For inference

RTX PRO 6000 Blackwell 8-GPU Server
768GB GPU memory

8 × 96GB GDDR7 · AI video, rendering and simulation

You are here

For training

NVIDIA H200 8-GPU Server
1,128GB GPU memory

8 × 141GB HBM3e · NVLink

FAQs

RTX PRO 6000 server questions.

Can’t find your answer? Ask our engineers.

It can fine-tune models and train smaller ones well. For training large models the H200 8-GPU server is the better fit, with more memory per GPU (141GB vs 96GB), about three times the memory bandwidth and NVLink bridges. Most businesses use the RTX PRO 6000 to run models in production.

It depends on the model size, the context length and the response time you need. Tell us your models and expected users in the form below and our engineers will size the server for you.

Yes. With 768GB of GPU memory, and up to four isolated MIG instances per GPU, one server can host several models or teams at the same time.

Each GPU can draw up to 600W, so eight GPUs can draw up to 4.8kW before the rest of the server, which runs on four 3,200W Platinum power supplies. Plan for dedicated circuits, two power feeds and cooling sized for the load. We confirm the exact figures for your configuration.

Yes. We deliver, rack, cable and power on the server at your office, data centre or colocation facility in Egypt or the UAE.

The server comes with a 24-month Mega Build Up next-business-day (NBD) warranty, and the GPUs with a 12-month replacement warranty. Our own engineers handle diagnosis and on-site support. See our warranty services.

Answer three quick questions in the form on this page. An engineer replies within 24 working hours with a recommended configuration and price.

Get a quote

Configure your RTX PRO 6000 server.

Answer three quick questions and an engineer replies within 24 working hours with a recommended configuration and price.

Step 1 of 3

What will you run?

    Talk to an AI infrastructure engineer.

    Call, WhatsApp or email our team and we’ll reply within 24 working hours.

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