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Scan 3XS (GWP-A2-TR64)RTX PRO GPU SystemsDeskside tier · £6k – £40k

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.

Price

£36,999.98 inc VAT

Scan 3XS GWP-A2-TR64, listed price — UK-built

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

NVIDIA RTX PRO 6000 Blackwell Max-Q graphics card — the dual-build variant, three-quarter viewScan 3XS (GWP-A2-TR64)
192 GB
Total VRAM

2× 96 GB, tensor-parallel

664 tok/s
gpt-oss-120b @ 6 users

230 tok/s single-stream (verified)

125+
Concurrent chat users

8k-context serving, verified

~2 kW
Under load

13 A circuit, plan the room

The machine

Two RTX PRO 6000s in one Threadripper tower is the quiet star of the 2026 price list: 192 GB of VRAM is exactly enough for DeepSeek V4 Flash's native FP4/FP8 checkpoint (146–158 GB) — the most capable open model that fits a workstation — with verified throughput of 664 tok/s at 6 concurrent streams and 125+ simultaneous chat users on gpt-oss-120b.

Scan's UK-built GWP-A2-TR64 lists at £36,999.98 inc VAT. Under load it draws ~2 kW — still a standard-circuit machine, but plan its placement. For organisations serious about production self-hosting without rack infrastructure, this is the sweet spot.

vs its siblings: The capability-per-pound peak of the whole catalogue for production serving.

Memory, to scale

192 GB model-visible · bandwidth is the speed limit

GPU 1 — GDDR7 ECC

96 GB · 1.79 TB/s

GDDR7

GPU 2 — GDDR7 ECC

96 GB · 1.79 TB/s

GDDR7

For scale

DGX Spark — 128 GB @ 273 GB/s

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

DGX Station GB300 — 748 GB coherent

4× Max-Q in larger chassis reaches 384 GB; beyond that, Server Edition racks.

Capability

What it actually runs

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

  • DeepSeek V4 Flashnative FP4/FP8 (146–158 GB)fitsthe headline act — frontier-adjacent agentic coding
  • gpt-oss-120bMXFP4with headroom125+ concurrent users (verified)
  • Qwen3.5 122BFP8with headroomfull-quality serving with batch room
  • Devstral 2FP8with headroomdense coding model at production speed
  • Llama-70B-classFP16with headroomfull precision across both cards
  • Qwen3.5 397BInt4 (~205 GB)2+ units linkedjust over — needs 4× or a Station
Specification

The full sheet

GPUs

Cards
2× RTX PRO 6000 Blackwell 96 GB (Max-Q recommended for thermals)
Parallelism
Tensor-parallel over PCIe 5.0 — no NVLink on this card class

Platform (Scan 3XS GWP-A2-TR64)

CPU
AMD Threadripper (64-core class)
PSU
2,200 W
Build
UK-built, UK warranty and support

Verified serving numbers

gpt-oss-120b (vLLM, MXFP4)
230 tok/s single · 664 tok/s @ 6 streams · ~2.4M tok/hr
70B FP16
Fits across both cards with production KV headroom

Where it shines

  • Serves DeepSeek V4 Flash natively — the best open model a workstation can hold
  • Genuine production concurrency (125+ users) without a rack
  • UK-built with local warranty; standard 13 A power
  • Half the price of any GB300 Station for many workloads

The trade-offs

  • ~2 kW and 6,000+ BTU/hr under load — not a meeting-room machine
  • PCIe-only parallelism; latency-sensitive tensor-parallel workloads take a haircut
  • £37k is real money — the audit must show the token volume to justify it

Buy this box for

Production agent fleets on frontier-adjacent open weightsServing a whole department from one governed boxOrganisations not ready for colocation but past the pilot stage
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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We'll size it against your real token volumes, quote supply and lease options, and stand up the models with evals that prove they do the job — or tell you honestly that a different box (or the API) wins.