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
Custom build (Scan 3XS / integrators)- 32 GB
- GDDR7 VRAM
- 1.79 TB/s
- Memory bandwidth
- 575 W
- Card power
- ~£6k
- Built workstation
≤32B models at Q4
same as RTX PRO 6000
~1 kW system under load
card from ~£2,899
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
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
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
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.
Siblings on the same silicon

Scan 3XS / Puget / BIZON (1× card)
RTX PRO 6000 Workstation
One card, 96 GB, 1.79 TB/s: gpt-oss-120b at ~150 tok/s and QLoRA fine-tuning to 120B — the production single-GPU box.
- Memory
- 96 GB
- Bandwidth
- 1.79 TB/s
- AI perf
- 24,064 CUDA · 752 Tensor
built from ~£16k · reference £28k inc VAT
Card £11,333 inc VAT (Scan) — +55% on MSRP in the GDDR7 shortage · Scan 3XS reference build £23,333 ex VAT

Scan 3XS (GWP-A2-TR64)
RTX PRO 6000 Dual Workstation
192 GB of VRAM at £37k — the cheapest machine that serves DeepSeek V4 Flash's native checkpoint, and 125+ concurrent chat users.
- Memory
- 192 GB
- Bandwidth
- 1.79 TB/s
- AI perf
- 2× Blackwell (48k CUDA)
£36,999.98 inc VAT
Scan 3XS GWP-A2-TR64, listed price — UK-built

Supermicro / Gigabyte / Exxact
RTX PRO 6000 Server (4×–8×)
384–768 GB of VRAM in a rack — passive Server Edition cards, colocation power, and every open model on the list.
- Memory
- 768 GB
- Bandwidth
- 1.79 TB/s
- AI perf
- 8× Blackwell SE
POA
Component maths: 4× ≈ £55–75k · 8× ≈ £110–150k+ ex VAT — all vendors quote-led
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.
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