NVIDIA RTX 4090 - 24GB usable

Fastest consumer GPU for AI inference. Worth it if speed matters more than value.

Specifications

BrandNVIDIA
ModelRTX 4090
Usable VRAM24GB
ArchitectureAda
CUDA / Stream Processors16,384
Memory Bandwidth1008 GB/s
TDP450W
FP32 TFLOPS83

Current Offers

Used from £2,506

Prices last updated:

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Lowest tracked offers by retailer

UK · GBP · Weekly since Aug 2026 · Shipping may be extra

£2,100£2,200£2,300£2,400£2,500£2,600Aug 21Sep 8Sep 27Oct 15Nov 3eBay £2,506
About these prices

Each line is the lowest offer we tracked from that retailer at weekly snapshots, ending at today's offer. The condition can vary between snapshots (new, used, or unrecorded for older ones). eBay prices exclude shipping.

Weekly offers table
Lowest tracked offer per retailer · UK · GBP
DateeBay
Today, Nov 3, 2026 £2,505.70
Oct 30, 2026 £2,515.90
Oct 23, 2026 £2,556.70
Oct 9, 2026 £2,556.70
Oct 2, 2026 £2,556.70
Sep 25, 2026 £2,449.00
Sep 18, 2026 £2,199.70
Sep 11, 2026 £2,250.70
Sep 4, 2026 £2,352.70
Sep 1, 2026 £2,403.70
Aug 28, 2026 £2,250.70
Aug 21, 2026 £2,250.00

For AI / LLM Use

Solid choice for 30B models and comfortable 14B inference.

What Models Can It Run?

  • 30B Q4_K_M, 14B full precision, 70B Q2 (tight)
  • 14B Q6_K, 30B Q3_K (tight)
  • 14B Q4_K_M, 7B full precision
  • 7B Q6_K, 14B Q3_K (tight)
  • 7B Q4_K_M only

Estimated Performance

Generation: ~76 tokens/sec

Prefill: ~1482 tokens/sec

Recommended Quantisations

  • Q4_K_M recommended for 30B models
  • Q6_K or Q8 for 14B and below
  • Full precision for 7B

Pros & Cons

Pros

  • 24GB usable VRAM: handles large models
  • High memory bandwidth for fast generation
  • Ada architecture: broad CUDA software support
  • Consumer card: easy to install, display output

Cons

  • 450W TDP: high power draw

Community Verdict

Average score: 9.5/10 (1 review)

  • TechPowerUp 9.5/10

    The undisputed king of consumer GPUs. Ada Lovelace architecture delivers massive performance gains.

    Source
  • r/LocalLLaMA

    Fastest consumer card for inference. Overkill for most use cases but unmatched speed for 24GB tier.

    Source