NVIDIA Dubai Buyers: Choosing Between GeForce, RTX PRO and Data Centre GPUs
For a business, the first NVIDIA decision is not the model but the class. NVIDIA sells three classes of GPU that look similar on a spec sheet and behave very differently in an office: GeForce cards built for personal machines, RTX PRO cards built for professional workstations, and data centre GPUs built for servers. They differ on memory size, error correcting memory, power draw, cooling and, most importantly for NVIDIA Dubai buyers planning shared systems, on what the driver licence allows. Pick the class first, using the five questions below, and the model choice becomes short.
Every figure in this guide comes from NVIDIA's own product pages and licence documents, read in October 2026.
The three classes at a glance
| Class | Example | Memory | Power | Cooling | Where it belongs |
|---|---|---|---|---|---|
| GeForce | RTX 5090 | 32 GB GDDR7, no ECC listed | 575 W card, 1000 W system | Fans on the card | One user's own machine |
| RTX PRO | RTX PRO 6000 Blackwell Workstation Edition | 96 GB GDDR7 with ECC | 600 W | Fans on the card | Professional workstation |
| Data centre | L40S | 48 GB GDDR6 with ECC | 350 W | Passive, needs server airflow | Certified server in a rack |
| Data centre | H200 NVL | 141 GB | Up to 600 W | PCIe, air cooled by the server | AI training and inference servers |
Read the table as a set of limits rather than a ranking. A card that is excellent in one setting can be the wrong purchase in another, and the five questions below are the quickest way to rule classes out before comparing individual models.
The table hides the most important difference, which is not physical at all. It is the licence.
Question one: will the GPU sit in a data centre?
Section 2.8 of NVIDIA's driver licence agreement, in the version dated 25 February 2025, says that GeForce or Titan software is licensed only for GeForce or Titan hardware you own and is not licensed for datacenter deployment. The agreement does not define a datacenter, but the intent is clear enough to plan around. A GeForce card in a designer's tower under a desk in Business Bay is the use the licence expects. A rack of GeForce cards in a colocation hall, serving several users or running a shared AI service, is the use it excludes.
This is the most common mistake in NVIDIA Dubai enquiries for AI work. GeForce cards are familiar and widely available, so a shared server gets priced around them. The build may run, but it sits outside the driver licence the moment it moves into a data hall. If the system will be shared, rack mounted or hosted, the choice moves to data centre GPUs in qualified servers, and the GeForce class drops out of the comparison. Our RTX 4080 note covers where a GeForce card is the right answer, which is a single user machine.
Question two: how much memory does the largest job need?
Memory is the hard limit. A render scene, simulation or AI model that does not fit in GPU memory either runs very slowly or does not run. Work out the largest job your team runs today and add headroom for the next two years, then read across NVIDIA's ranges.
RTX PRO Blackwell desktop cards
NVIDIA's professional desktop GPU page lists the current Blackwell generation with these memory and power figures, all with error correcting memory:
- RTX PRO 2000 Blackwell: 16 GB GDDR7, 70 W.
- RTX PRO 4000 Blackwell: 24 GB GDDR7, 145 W, single slot. An SFF Edition has the same 24 GB at 70 W.
- RTX PRO 4500 Blackwell Workstation Edition: 32 GB GDDR7, 200 W.
- RTX PRO 5000 Blackwell: 48 GB or 72 GB GDDR7, 300 W.
- RTX PRO 5500 Blackwell Workstation Edition: 84 GB GDDR7, up to 600 W.
- RTX PRO 6000 Blackwell: 96 GB GDDR7, either 600 W in the Workstation Edition or 300 W in the Max-Q Workstation Edition.
The previous Ada Lovelace generation is still listed, from the RTX 2000 with 16 GB at 70 W to the RTX 6000 with 48 GB at 300 W, and the RTX 4000 Ada with 20 GB at 130 W in a single slot remains a sensible card for compact workstations.
GeForce and data centre memory
At the top of the GeForce range, NVIDIA lists the RTX 5090 with 32 GB of GDDR7. Among data centre cards, the L40S carries 48 GB and the H200 NVL carries 141 GB with 4.8 TB/s of memory bandwidth. The 96 GB on the RTX PRO 6000 Blackwell therefore sits between the two data centre examples, in a card designed for a workstation. For a single developer or a small team fine tuning models at a desk, that is often the deciding fact. For training or serving large models to many users, the H200 class and its servers become the conversation, and our A100 guide walks through the server questions that apply to any data centre GPU.
Question three: does a flipped bit matter?
Error correcting code memory detects and corrects single bit errors in GPU memory. For gaming or video editing, a rare error is invisible. For engineering simulation, financial models, scientific computing or long AI training runs, a silent error can corrupt a result that people then rely on.
NVIDIA states ECC for every RTX PRO and Ada professional card on its desktop page, and for the L40S among data centre cards. The RTX 5090 product page does not mention ECC. If your work falls in the second group above, that single line moves you out of GeForce regardless of price or availability.
Question four: can the room deliver the power and remove the heat?
Power and heat are where Dubai conditions change the answer. NVIDIA rates the RTX 5090 at 575 W and asks for a 1000 W system power supply. The RTX PRO 6000 Workstation Edition is a 600 W card, while its Max-Q sibling delivers the same 96 GB at 300 W, which is why the Max-Q version is the one to look at when two or more cards share a chassis or the machine sits in a small room.
Data centre cards add a cooling twist. NVIDIA's L40S page lists its thermal solution as passive. It has no fan of its own and depends on the directed airflow of a qualified server, so it cannot simply be dropped into a desktop tower. The H200 NVL is a dual slot, air cooled PCIe card rated at up to 600 W, built for installation in a server. Either belongs in a server room with cooling sized for it. In summer, that sizing matters, and every watt the card draws becomes heat the room has to remove.
The arithmetic is worth doing on paper. Two Max-Q cards draw 600 W between them, the same as a single Workstation Edition card, while giving a workstation 192 GB of GPU memory in total. Whether that suits your software depends on whether it can spread a job across two GPUs, so ask the application vendor before assuming it will. Add the processor, drives and fans, and then size the uninterruptible power supply for the whole machine rather than the card alone.
For desk side machines, check three things before ordering: the power supply rating and its free PCIe power leads, the chassis length and slot clearance, and where the hot air goes. A 600 W card in a cupboard that also holds the office switch is how an August afternoon outage starts.
Question five: will several users share one GPU?
Sharing a GPU between virtual machines uses NVIDIA's virtual GPU software, and that brings a second licence on top of the hardware. NVIDIA's vGPU licensing guide names three editions: vApps for PC level applications and server based desktops, vPC for business virtual desktops, and vWS for mid range and high end workstation users, with vWS including the vPC edition.
The guide is blunt about what happens without a licence. Roughly 20 minutes after an unlicensed virtual machine boots, its frame rate is capped at 15 frames per second and CUDA performance is degraded. After 24 hours the cap falls to 3 frames per second and CUDA stops working. Those figures are from the release 16 edition of the guide, so check the current release, but the principle holds: a virtual GPU project is not finished until the licence server is running.
Not every card supports vGPU. NVIDIA lists vGPU software support for the L40S. Multi Instance GPU, which splits one card into isolated partitions, is a different feature: NVIDIA lists no MIG on the L40S, up to seven MIG instances on the H200 NVL, and up to four on the RTX PRO 6000 Max-Q. If partitioning matters, choose the card that supports the method you plan to use.
Matching the class to common Dubai workloads
- Architecture and interior design visualisation, one user per machine. A GeForce card is licensed for this, and an RTX PRO card adds ECC memory and lower power options for compact machines. The RTX PRO 4000 or 4500 Blackwell covers most single user work.
- Engineering simulation and finance models. RTX PRO, for the ECC memory. Size the memory to the largest model.
- Local AI development at a desk. The RTX PRO 6000 Blackwell Workstation Edition with 96 GB, or a compact system such as the one in our DGX Spark note.
- Shared virtual desktops for a design team. A data centre card with vGPU support in a certified server, plus vWS licences.
- Training or serving large models. H200 class GPUs in qualified servers, with the export paperwork that comes with them.
Export rules are part of the class decision
High end data centre GPUs are subject to US export controls, and a July 2026 US rule changed how those controls apply to the UAE. In practice, a data centre GPU order usually comes with end user questions that a workstation card order does not. Our guide to choosing an NVIDIA supplier in Dubai summarises what changed and what a competent supplier will ask. Build that step into the timeline for any NVIDIA Dubai project that involves data centre GPUs.
NVIDIA Dubai GPU questions answered
Can I put GeForce cards in a server for my company's AI tools?
Physically yes, but section 2.8 of NVIDIA's driver licence says GeForce software is not licensed for datacenter deployment. For a shared or hosted system, plan on data centre GPUs in a qualified server.
Is the RTX PRO 6000 Blackwell a data centre card?
The Workstation Edition and the Max-Q Workstation Edition are workstation cards with fans, 96 GB of ECC memory, and 600 W or 300 W respectively. NVIDIA's data centre range is built for servers instead: the L40S, for example, is passively cooled and depends on server airflow.
Which NVIDIA cards have ECC memory?
NVIDIA lists ECC on all current RTX PRO Blackwell and Ada professional desktop cards and on data centre cards such as the L40S. The RTX 5090 product page does not mention ECC.
Do I need a licence to share a GPU between virtual desktops?
Yes. NVIDIA's virtual GPU software is licensed in vApps, vPC and vWS editions, and an unlicensed virtual machine has its graphics and CUDA performance restricted after about 20 minutes and more severely after 24 hours.
What power supply does an RTX 5090 workstation need?
NVIDIA lists a 575 W total graphics power for the card and a minimum 1000 W system power supply, based on its reference test system. Workstations with more than one card need more.
What to send with an NVIDIA enquiry
Codeeo Tech, at Building A1, IFZA Business Park in Dubai Silicon Oasis, lists GeForce, RTX PRO and data centre NVIDIA GPUs alongside the workstations and servers they go into. We are not an NVIDIA office, and every item is priced through Add to Quote. To get a recommendation on the right class rather than just a model, send:
- The workload and the largest scene, dataset or model it has to hold in memory.
- How many people will use the GPU, and whether they will share it.
- Where it will run: a desk, a comms room, or a rack in a data centre.
- The make and model of any existing workstation or server it must fit.
- The end user company and its location, if a data centre GPU is in scope.
Send those through our contact form and the reply will name the class, the card and the system it needs, with any licence or export step called out.
Cover photo: Computer heatsink and fan by Douglas Paul Perkins, via Wikimedia Commons (CC BY 3.0).
