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Custom build (Scan 3XS / integrators)RTX PRO GPU SystemsDesk tier · £2k – £7k

RTX 5090 Workstation

32 GB of GDDR7 at 1.79 TB/s — the fastest sub-£7k tokens in this catalogue, for models that fit.

Price

built from ~£5–7k

Card from £2,899 (Overclockers UK, Jul 2026 — up ~55% on launch MSRP)

verified 2026-07 · supply & lease options in every proposal

NVIDIA GeForce RTX 5090 Founders Edition graphics card, front viewCustom build (Scan 3XS / integrators)
32 GB
GDDR7 VRAM

≤32B models at Q4

1.79 TB/s
Memory bandwidth

same as RTX PRO 6000

575 W
Card power

~1 kW system under load

~£6k
Built workstation

card from ~£2,899

The machine

The RTX 5090 brings the same 1.79 TB/s memory bandwidth as the £11k professional card, with 32 GB of capacity: everything up to ~32B parameters at 4-bit serves at exceptional speed (a 30B-class MoE benchmarks at ~4,570 tok/s batched under vLLM).

Card pricing has been dragged up by the same shortage as everything else — from ~£2,899 in July 2026, over £1,000 above launch MSRP — putting a sensible built workstation at £5–7k. It is the right box when your models are small and your concurrency is real; it is the wrong box for 70B+ ambitions.

vs its siblings: The speed-per-pound entry point to the CUDA serving stack.

Memory, to scale

32 GB model-visible · bandwidth is the speed limit

GDDR7 VRAM

32 GB · 1.79 TB/s

GDDR7

For scale

DGX Spark — 128 GB @ 273 GB/s

RTX PRO 6000 — 96 GB @ 1.79 TB/s

Mac Studio M3 Ultra — 512 GB @ 819 GB/s

DGX Station GB300 — 748 GB coherent

Capability

What it actually runs

Declared from research and benchmarks, not computed marketing — tokens-per-second figures are cited where a real measurement exists.

  • Qwen3.6 35BQ4with headroomvery fast — the production triage tier
  • Gemma 4 31BQ4with headroomclean-licence small-model quality
  • gpt-oss-20bMXFP4with headroom~14 GB — huge batch headroom
  • Devstral Small 2 (24B)Q4with headroomApache-licensed coding agent
  • gpt-oss-120bMXFP42+ units linkedneeds 2× 5090 minimum — or one PRO 6000
Specification

The full sheet

GPU

Card
NVIDIA RTX 5090 — 32 GB GDDR7, 1.79 TB/s, 575 W
Multi-GPU
2× at Q4 reaches 70B-class — but a used/1× PRO 6000 is usually cleaner

Serving

Stack
Full CUDA: vLLM, SGLang, TensorRT-LLM, llama.cpp
Benchmark
30B-A3B AWQ: ~4,570 tok/s batched (vLLM, verified)

Where it shines

  • Best £-per-token-per-second under £7k — bandwidth of the big card
  • Full CUDA production stack (vLLM/SGLang) unlike unified-memory boxes
  • Standard tower — any competent integrator builds and supports it

The trade-offs

  • 32 GB caps you at ~32B-class models — no 120B story on one card
  • 575 W card, ~1 kW system: real heat and noise at the desk
  • Consumer card in a business machine — no ECC, thinner warranty
  • Price inflated ~55% over launch by the GDDR7 shortage

Buy this box for

High-volume pipeline serving of ≤35B models (triage, extraction, routing)Development boxes for teams targeting bigger production GPUsFast RAG over curated corpora with small, sharp models
The platform

Understanding RTX PRO GPU Systems

NVIDIA RTX PRO 6000 Blackwell · 96 GB GDDR7

Where unified-memory boxes optimise for capacity, the RTX PRO 6000 Blackwell optimises for speed: 1.79 TB/s of memory bandwidth is 6–7× a DGX Spark. A single card serves gpt-oss-120b at ~150 tok/s for one user — or thousands of tokens per second aggregate under vLLM batching. This is the silicon for department-scale production serving on 120B-class models, and the pragmatic fine-tuning platform: QLoRA up to 120B fits on one card, with full CUDA, vLLM, SGLang and TensorRT-LLM support.

Two cards give 192 GB — notably, enough to serve DeepSeek V4 Flash's native FP4/FP8 checkpoint, the most capable open model that fits a workstation. Four give 384 GB; beyond that the passive Server Edition scales to 8 GPUs in a rack chassis for colocation. UK-built systems come from Scan's 3XS line with local warranty and support.

Buyers should know the market context: the GDDR7 shortage pushed the card from its $8,565 launch MSRP to ~$13,250 (+55%) by mid-2026 — about £11,300 inc VAT in the UK — and no successor exists or is announced. The Max-Q variant (300 W) sacrifices ~13% compute for half the power and heat, and since LLM decode is bandwidth-bound, its single-stream speed is nearly identical — it is the card of choice for dense multi-GPU builds.

Sources & verification

Specifications and prices verified 2026-07 against the sources below. The memory shortage is repricing this market monthly — we re-verify at quote.

Compare against the rest of the catalogue, or have us spec it against your workloads.

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