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Workstation GPUs

Workstation GPUs for AI, Design and Visualisation

A workstation GPU brings ECC memory, certified drivers and long availability to engineering, visualisation and AI work, in a professional graphics card that cools itself with a blower or flow-through fan. The range covers current Blackwell cards alongside the Ada and Ampere generations that many qualified systems still use.

Options include low-profile cards for compact PCs, single and dual-slot full-height cards, up to four DisplayPort outputs and memory from 4 GB to 96 GB, suited to CAD, simulation, medical imaging, machine vision and local AI models.

Speak to a workstation GPU specialist to match memory, power and slot space to your system.

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Browse Our Workstation Graphics Cards

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  • GPU / AI Accelerator: Discrete GPU (PCIe)
  • GPU: NVIDIA RTX 4000 Ada
  • AI Performance: 428 TOPS
  • Display Outputs: 4x Display Ports
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Beyond Workstation GPUs: GPU Cards

Workstation GPU Ranges Configured by Things Embedded

We work with the leading manufacturers of professional graphics cards, so the ranges below are the ones we specify for workstations, industrial PCs and edge AI systems. Compare them by generation, memory and power, then browse the cards above or ask a workstation GPU specialist.

RTX PRO Blackwell Graphics Cards
Advantech

RTX PRO Blackwell Graphics Cards

GDDR7 cards from the 70 W low-profile RTX PRO 2000 to the 96 GB RTX PRO 6000, with DisplayPort 2.1 and PCIe 5.0.

RTX Ada Generation GPUs
Advantech

RTX Ada Generation GPUs

GDDR6 ECC cards from the 50 W RTX 2000E Ada to the 48 GB RTX 6000 Ada, with four DisplayPort 1.4a outputs.

RTX Ampere Workstation Cards
Advantech

RTX Ampere Workstation Cards

Low-profile and full-height Ampere cards, from the slot-powered RTX A400 to the 48 GB RTX A6000, for qualified designs.

Not sure which range fits? Tell us the application and we will recommend the right model.

What to Specify in a Professional GPU

Our GPU specialists specify every card against the host chassis, its power supply and the applications it will run. These are the choices we work through with you before recommending a card.

Memory Size

Large assemblies, high-resolution datasets and local AI models need 32 GB or more; display work runs in far less.

Slot Width and Height

Low-profile and single-slot cards fit compact PCs; dual-slot cards need two slots of clearance in a full-height chassis.

Power Connector

Cards at 70 W or below run from the slot; larger cards need a 16-pin connector, with an adapter cable supplied.

Displays

Four DisplayPort or Mini DisplayPort outputs drive multi-screen control rooms and 8K displays.

Cooling

Blower cards exhaust heat out of the bracket, which suits enclosed industrial chassis and multi-GPU builds.

Generation and Lifecycle

Blackwell brings the newest Tensor cores; Ada and Ampere cards keep qualified designs running unchanged.

Workstation GPU Innovation & Visualisation Insights

We specialise in professional graphics for systems that run on factory floors, in hospitals and in control rooms, not only on desks. Our team of embedded system design engineers recommends and configures workstation GPUs to the memory, power and displays your system needs. Discover how we help engineering teams render, inspect and run AI locally, or read our guides to choosing a professional GPU.
FAQ What Is a Video Wall Controller? A video wall controller, also called a video wall processor, is the hardware or software that takes video sources and splits, scales and places them across the displays of a video wall. It lets one image fill the whole wall or several sources share it in windows, and stores the layouts so operators can switch between them.
FAQ What Is Reinforcement Learning in Robotics? Reinforcement learning is a type of machine learning in which an agent learns by trial and error, taking actions and receiving rewards or penalties. In robotics, a control policy is usually trained this way in GPU-accelerated simulation, across thousands of virtual robots at once, then transferred to the real machine.
FAQ What Is a Graphics Card? A graphics card, also called a video card, is an expansion card that carries a graphics processing unit (GPU) with its own memory, power circuits, cooling and display outputs. It plugs into a PCIe slot and draws images for the screens, and it also speeds up video, AI inference and other parallel computing work.
FAQ CUDA Cores vs Tensor Cores: What Is the Difference? CUDA cores are the general-purpose parallel processors in an NVIDIA GPU, each handling one floating-point or integer operation at a time. Tensor Cores are specialised blocks that multiply small matrices in a single step at reduced precision, which is the core maths of AI. A GPU uses CUDA cores for graphics and general compute, and Tensor Cores for AI.
FAQ What Is a Teraflop (TFLOPS), and How Is It Different From TOPS? A teraflop is one trillion floating-point operations per second, and TFLOPS counts them: a measure of how fast a processor handles decimal maths at a stated precision such as FP32. TOPS counts trillions of operations per second, usually integer maths at INT8. GPUs quote TFLOPS for graphics and general compute, while NPUs and AI accelerators quote TOPS for inference.
FAQ What Is the NVIDIA RTX 2000 Ada? The NVIDIA RTX 2000 Ada is a low-profile professional GPU based on the Ada Lovelace architecture, with 16 GB of GDDR6 memory with ECC and a 70 W maximum power rating. It suits AI inference, vision and multi-display work in compact and rugged computers, and also comes as a single-slot 50 W RTX 2000E and an embedded MXM module.
// GPU Computing Specialists

Speak to a Workstation GPU Specialist.

Tell us the applications, the host system and the displays you need to drive. We will recommend the right card, then fit, configure and burn-in test it in the system before it ships.

Phone · UK +44(0)1785 558 300