AI Development Workstations by 3XS Systems

As an NVIDIA Elite Partner, we pioneered the concept of the AI workstation in 2016 to complement the original NVIDIA DGX.

3XS AI workstations make starting your AI journey easy. Powered by NVIDIA GPUs, they provide data scientists with a cost-effective platform for developing AI models, prior to scaling up to datacentre-grade training hardware which is also available from Scan.

Designed for office environments, 3XS AI workstations are fine-tuned by our hardware engineers and data scientists for performance, reliability and low-noise. We provide a custom software stack that means you spend more time on your code development and less time configuring drivers, libraries and APIs.

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3XS AI Workstation

NVIDIA GPU Options

There are two types of GPU available, browse the different options below.

NVIDIA RTX PRO GPU

NVIDIA RTX PRO

NVIDIA RTX PRO GPU-accelerators provide the highest performance and largest onboard memory for AI workstations. The latest generation of RTX PRO cards are based on the Blackwell architecture, which added native support for FP4 precision, and select models support Multi-Instance GPU (MIG), enabling multiple users to work on the system at the same time.

NVIDIA GeForce RTX GPU

NVIDIA GeForce RTX

NVIDIA GeForce RTX GPU-accelerators provide mid-range performance and smaller onboard memory at a lower price point than RTX PRO cards. The latest generation of GeForce RTX cards are based on the Blackwell architecture, which added native support for FP4 precision. GeForce RTX cards do not support Multi-Instance GPU (MIG).

RTX PRO 6000 Blackwell RTX PRO 6000 Blackwell Max-Q RTX PRO 5000 Blackwell RTX PRO 4500 Blackwell RTX PRO 4000 Blackwell GeForce RTX 5090 GeForce RTX 5080
Architecture Blackwell Blackwell Blackwell Blackwell Blackwell Blackwell Blackwell
CUDA Cores 24,064 24,064 12,800 10,496 8960 21,760 10,752
Tensor Cores 752
5th gen
752
5th gen
400
5th gen
328
5th gen
280
5th gen
680
5th gen
336
5th gen
RT Cores 188
4th gen
188
4th gen
100
4th gen
82
4th gen
70
4th gen
170
4th gen
84
4th gen
Memory 96GB
GDDR7
96GB
GDDR7
48GB
GDDR7
32GB
GDDR7
24GB
GDDR7
32GB
GDDR7
16GB
GDDR7
ECC Memory
Memory Controller 512-bit 512-bit 384-bit 256-bit 192-bit 512-bit 256-bit
NVLink
MIG 4 instances 4 instances 2 instances
TDP 600W 300W 300W 200W 140W 575W 360W

Learn more about RTX PRO and GeForce RTX graphics cards in our buyers guides.

GPU Configurations

3XS AI workstations can be configured with two air-cooled GPUs, or up to eight GPUs when watercooled. Adding more GPUs not only improves processing speed, it also enables you to run larger models with more parameters. Use the table to identify what type of configuration is required for your projects.

GPU RTX PRO 6000 Blackwell RTX PRO 5000 Blackwell 72GB RTX PRO 5000 Blackwell 48GB RTX PRO 4500 Blackwell RTX PRO 4000 Blackwell GeForce RTX 5090 GeForce RTX 5080
Number of GPUs 8 2 1 2 1 2 1 2 1 2 1 8 2 1 1
Cooling Water Air Air Air Air Air Air Air Air Air Air Water Air Air Air
AI performance (FP4 TOPS)* 32,000 8,000 4,000 4,128 2,064 4,128 2,064 3,200 1,600 2,356 1,178 26,816 6,704 3,352 1,801
GPU memory* 768GB 192GB 96GB 144GB 72GB 96GB 48GB 64GB 32GB 48GB 24GB 256GB 64GB 32GB 16GB
Billions of AI model parameters (FP4)* 1,224 307 153 230 115 153 77 102 51 77 38 408 102 51 26

* combined figure for all GPUs

3XS AI workstations are one of several types of desktop device suitable for AI model development. Read our AI workstation buyers guide for information on how they compare.

Maximise Your AI Workstation With Production Ready Software

NVIDIA AI Enterprise, available to purchase as an upgrade with RTX PRO GPUs, is a suite of frameworks and libraries, including NVIDIA NIM and NeMo microservices, that accelerate the development and deployment of AI projects. Leveraging pre-configured frameworks removes many of the manual tasks and complexity associated with software development, as each framework is tried, tested and optimised by NVIDIA. The less time spent developing, the greater the ROI on your AI hardware and data science investments.

Rather than trying to assemble thousands of co-dependent libraries and APIs from different authors when building your own AI applications, NVIDIA AI Enterprise removes this pain point by providing a full agentic AI software stack.

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NVIDIA AI Enterprise software stack diagram

Develop on your choice of OS

3XS AI workstations are provided with a custom software stack to speed up your AI model development. Powered by NVIDIA GPUs, 3XS AI workstations are the perfect tool for unlocking the comprehensive catalogue of optimised software tools for AI and HPC provided in the NVIDIA GPU Cloud (NGC).

Linux

Ubuntu Docker TensorFlow NVIDIA GPU Cloud Proxmox

Your system can be configured with the latest Ubuntu operating system, plus Docker for creating, sharing and running individual containers on a single node and TensorFlow, a popular framework for building and deploying AI applications.

Windows

Windows 11 Pro

Your system can be configured with the latest Microsoft Windows 11 operating system, using Windows Subsystem for Linux (WSL) to build and deploy your AI models.

3XS AI Workstations Benefits

Start your AI journey

3XS AI workstations are available as preconfigured models or can be customised to your requirements. Alternatively, you can develop AI models on any device via virtualised NVIDIA GPUs hosted on our Scan Cloud platform.

Pre-configured 3XS AI Workstations

Pre-Configured 3XS AI Workstations

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Configure your 3XS AI Workstation

Configure Your 3XS AI Workstation

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AI in the cloud

AI in
the Cloud

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