Buy a workstation with 2 to 4 NVIDIA RTX PRO 4500 Blackwell cards in Europe

Who a workstation with RTX PRO 4500 cards suits

You can buy a workstation with two, three or four NVIDIA RTX PRO 4500 Blackwell cards from us, built to order and delivered anywhere in the EU. Each card has 32 GB of GDDR7 with ECC at 896 GB/s and a board power of 200 W, so four cards give 128 GB of GPU memory at 800 W. Our team sizes the configuration to your workload and budget and replies within one business day.

The RTX PRO 4500 suits work where each job fits in 32 GB and several jobs run side by side. An engineering office renders on two cards while a third runs a local code assistant. An ML team keeps an embedding model, a reranker and a 14B chat model loaded on separate cards for a RAG prototype. A media department runs video processing on one card and a speech-to-text model on another. Four people can also share one tower with a whole card each, through separate containers or virtual machines with passthrough.

It is the wrong card when one model needs more than about 25 GiB with its cache. A 32B model in FP8 or a 70B model then has to be split over two or four cards across PCIe, and fewer larger cards usually do that job better, as the comparison further down shows.

The card: what NVIDIA publishes

NVIDIA RTX PRO 4500 product page and professional desktop GPU overview, read 24 October 2026; CUDA cores, bus width, FP32, AI TOPS and connector from NVIDIA's datasheet (April 2026) as cited in our RTX PRO 4500 Blackwell 32 GB guide.

NVIDIA's quick start guide lists an adapter from two 8-pin PCIe cables for the 16-pin connector, so a four-card tower needs eight free 8-pin leads or four native 16-pin cables. The card is dual slot: four of them take eight slot widths, which a large tower provides. The passive, single-slot RTX PRO 4500 Blackwell Server Edition shares the chip and the 32 GB, runs at 800 GB/s and 165 W, and belongs in a rack server; our comparison of the RTX PRO 4500 and the RTX PRO 4500 Server Edition sets the two side by side.

Two, three or four cards per workstation

Usable memory follows our users-per-card rule: 90 per cent of the memory the driver reports, less 3 GiB per card for activations and the runtime. The driver reports 95.6 GiB on a 96 GB card; for the 32 GB card we scale that by capacity, an assumption, which gives 25.7 GiB.

NVIDIA product page (32 GB, 896 GB/s, 200 W); usable memory and sums by our estimate, ECC off. If ECC reserved the 6.25 per cent that NVIDIA's CUDA Best Practices Guide gives for GDDR memory, usable memory would be about 23.9 GiB per card; NVIDIA publishes no figure for GDDR7.

Two cards are the usual start, one task per card. Three suit a team that keeps two cards for rendering or a split model and one for experiments. Four make sense when four jobs or four people work at once, or for a 70B model split over all four. Summed bandwidth helps only when every card works on its own job; a single conversation on one card sees 896 GB/s.

Towers whose makers list four RTX PRO 4500

We checked the makers' own documents on 24 October 2026.

Dell Precision 7960 configurator (Canada), Lenovo PSREF ThinkStation PX specification of 9 October 2026 and HP Z8 Fury G6i specifications, read 24 October 2026.

Two of the Precision 7960's four GPU slots run at PCIe 4.0 x16, which halves the link bandwidth of those two cards to the processor. That matters for a model split across all four cards and for jobs that stream data to the GPU, less for one model per card that stays in memory. Lenovo's PX specification names "up to four" only for the RTX PRO 6000 Max-Q and the RTX 6000 Ada, so a four-card PX with the RTX PRO 4500 needs a confirmed count before an order.

We supply the cards for these towers and also build four-card workstations to order on Threadripper PRO or Xeon W platforms, as our AI servers page describes. Send us the tower your company standardises on, or the jobs you plan per card, and our team confirms slots, cables and power before quoting.

Processor, memory and storage for an RTX PRO 4500 workstation

Our AI servers page (platforms and components); memory and cores by NVIDIA's configuration guide for NVIDIA-Certified Systems (30 September 2026), written for servers and applied here by the same arithmetic.

NVIDIA's guide asks for at least six physical cores per GPU and system memory of at least twice the GPU memory. For four 32 GB cards that is 24 cores and 256 GB, filled as eight 32 GB modules on eight channels; two cards need 12 cores and 128 GB. AMD lists the Threadripper PRO 9975WX with 32 cores, 350 W, 128 PCIe 5.0 lanes and eight memory channels, so four cards at x16 take 64 lanes and leave the rest for NVMe and the network card. For rendering and simulation we size processor cores and memory from the applications you name rather than from the guide's minimum.

What runs on one card and on the whole build

The counts apply our users-per-card rule: conversations of 8,192 tokens that fit beside the weights in an FP8 KV cache, at 0.625 GiB per conversation for Qwen3-14B, 1.0 GiB for Qwen3-32B and 1.25 GiB for Llama 3.3 70B. gpt-oss-120b is counted at 32K tokens with a 16-bit cache of 1.125 GiB.

Our estimates by the users-per-card rule with 25.7 GiB usable per card, ECC off; weights Qwen3-14B FP8 15.2 GiB, Qwen3-32B NVFP4 19.3 GiB and FP8 32.0 GiB, Llama 3.3 70B NVFP4 39.8 GiB and FP8 67.7 GiB, gpt-oss-120b 60.8 GiB, as in our model guides. Memory arithmetic, not measured throughput.

One card is a comfortable home for a 14B model in FP8 or a 32B model in 4-bit. With the example values of our guide to a private ChatGPT server by company size, about 20 requests are in flight at peak for 500 staff, which four copies of Qwen3-14B cover with room to spare. Larger models need splitting, and the more cards a model spans, the more every token depends on PCIe traffic between them. We found no published measurement of tensor-parallel scaling on two or four RTX PRO 4500 cards, so the TP=2 and TP=4 counts say what fits, not how fast it runs.

Speed per conversation follows bandwidth. By our arithmetic, one card generating Qwen3-14B in FP8, which reads about 16.3 GB per token, is held to about 55 tokens per second for one user, and Qwen3-32B in NVFP4, about 20.7 GB, to about 43; these are ceilings from the specifications, not measurements. Our article on one model on several GPUs over PCIe or NVLink explains what a split costs, and our guide to RTX PRO 6000 P2P on Linux lists the BIOS and kernel checks, which apply to any pair of RTX PRO cards.

For fine-tuning, the per-parameter rules in our GPU memory guide for fine-tuning put a LoRA run on an 8B model at about 16.7 GB of model states, which leaves about 15 GB on one 32 GB card by our arithmetic. A QLoRA run on a 70B model, 42.8 GB, does not fit one card.

Rendering, video and CAD on the same machine

For graphics work, Puget Systems measured the RTX PRO 4500 in December 2025 at 73 per cent faster than the RTX 4500 Ada in V-Ray GPU and about 50 per cent faster in Blender, under Windows 11, as our RTX PRO 4500 benchmarks round-up records. Those are single-card results; how a renderer uses four cards depends on the renderer. Each card has two NVENC and two NVDEC engines and four DisplayPort 2.1b outputs, so a four-card tower can drive monitors from every card, which the Server Edition cannot.

MIG and vGPU: what the workstation card does not offer

The workstation RTX PRO 4500 is not on NVIDIA's list of GPUs supported by vGPU software, last updated on 2 October 2026; only the RTX PRO 4500 Blackwell Server Edition is, from release 20.0. A workstation with these cards therefore gives virtual machines whole cards through passthrough, not shared vGPU profiles.

MIG comes with a caveat. NVIDIA's MIG user guide, updated on 13 October 2026, lists "RTX PRO 4500 Blackwell" with two instances and names no edition. The workstation card's product page does not mention MIG, and Lenovo's product guide for the workstation edition, published on 26 May 2026, lists MIG as "No support". We do not plan a workstation build on MIG halves of this card; if two isolated 16 GB GPUs per card are the reason to buy, the Server Edition states them on its product page. For a shared vGPU host see our page to buy a 4× RTX PRO 4500 Server Edition server.

Power consumption on 230 V and heat in the room

All three builds stay well inside one 230 V circuit by our estimate: the cards, a 350 W processor and 15 per cent for memory, drives, fans and power-supply losses.

Our estimate from NVIDIA's 200 W board power and the 350 W TDP of the Threadripper PRO 9975WX, plus 15 per cent, at full load; a 230 V 16 A circuit planned at 80 per cent carries 2.94 kW.

A four-card tower turns about 1.3 kW into heat, roughly 4,500 BTU per hour; in a shared office that needs ventilation or air conditioning. Large workstation power supplies, such as the 1,700 W unit HP lists for the Z8 Fury G6i, reach their full rating only at 200 V or more, which European sockets provide. Our guide to a GPU server in an office covers noise and heat in rooms shared with people.

Four RTX PRO 4500 or fewer, larger cards

The same tower takes other cards, and for language models the comparison is worth doing before ordering.

NVIDIA datasheets and product pages; usable memory by our users-per-card rule, as in our buy pages for these cards.

Two RTX PRO 6000 Max-Q have more memory and the same summed bandwidth, 3,584 GB/s, at 200 W less board power, and each card holds Llama 3.3 70B in FP8 on its own. Four RTX PRO 4500 win when the work is four separate jobs or four people with a whole card and their own display outputs each, and when every model fits 32 GB. Our pages to buy an RTX PRO 5000 48 GB workstation and buy a 2× RTX PRO 6000 Max-Q workstation cover the alternatives, and our comparison of several RTX PRO 5000 or 4500 or fewer RTX PRO 6000 sets out twelve builds.

Software on delivery

On request the workstation arrives with a Linux release or your company's image, the NVIDIA driver branch you will run, CUDA and a container runtime with the NVIDIA Container Toolkit. NVIDIA's CUDA GPU list places the RTX PRO 4500 Blackwell Workstation Edition under compute capability 12.0, like the other RTX PRO Blackwell cards, so containers built on older CUDA releases need checking first. As of October 2026 the R580 branch has long-term support to June 2028, and NVIDIA's security bulletin of 30 September 2026 names 580.178.04 and 595.91.07 as fixed versions; our guide to NVIDIA driver branches and CUDA versions explains how to pin the branch.

How ordering works with us in the EU

1. You describe the workload: models, applications, users, the room and the timeline. Sizing is free of charge.
2. We propose the configuration and check that cards, tower, power supply and cooling fit the room and the circuit.
3. You receive a written quote within one business day, with price, lead time and warranty terms per component. Quantities and lead time are confirmed in writing with the quote.
4. You order on one EU contract with an EU invoice from Eurokommerz in Vienna.
5. We assemble the workstation and test it before delivery with a power-on and basic load test.
6. We deliver anywhere in the EU, with commissioning on site on request; other destinations through our logistics partner.
7. Every component carries the manufacturer warranty, handled through us; DOA units are replaced, and the assembly is covered by us.

Our GPU server acceptance testing guide lists checks for your own acceptance test on delivery.

What to send us for a quote

• The models, with precision and context length, and which job runs on which card
• The design, rendering or video applications that share the machine
• How many people use it at peak, and whether through one service, containers or virtual machines
• How many monitors hang on the cards, and the operating system
• The tower your company standardises on, if any
• The room: circuit rating, cooling and where the tower will stand
• Delivery site, invoicing entity and timeline

Write these points in the form below, and we reply with a configuration and a written quote within one business day.

FAQ