NVIDIA Quadro RTX 5000 - 16GB usable
16GB Turing with a blower, so it behaves in cases that cannot cool an open-fan card. Newer 16GB cards move data noticeably faster.
Specifications
| Brand | NVIDIA |
|---|---|
| Model | Quadro RTX 5000 |
| Usable VRAM | 16GB |
| Architecture | Turing |
| CUDA / Stream Processors | 3,072 |
| Memory Bandwidth | 448 GB/s |
| TDP | 230W |
| FP32 TFLOPS | 11.2 |
Current Offers
Used from £450
Prices last updated:
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Lowest tracked offers by retailer
UK · GBP · Weekly since Aug 2026 · Shipping may be extra
- eBay £450 mid-range
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
| Date | eBay |
|---|---|
| Today, Nov 3, 2026 | £450.00 |
| Oct 30, 2026 | £414.70 |
| Oct 23, 2026 | £415.00 |
| Oct 9, 2026 | £480.00 |
| Oct 2, 2026 | £480.00 |
| Sep 25, 2026 | £478.36 |
| Sep 18, 2026 | £480.00 |
| Sep 11, 2026 | £480.00 |
| Sep 4, 2026 | £353.50 |
| Sep 1, 2026 | £363.70 |
| Aug 28, 2026 | £343.30 |
| Aug 21, 2026 | £343.30 |
For AI / LLM Use
Good for 14B models. 30B requires aggressive quantization.
What Models Can It Run?
- 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: ~34 tokens/sec
Prefill: ~200 tokens/sec
Recommended Quantisations
- Q4_K_M for 14B models
- Q6_K for 7B-8B models
- Q8 for 7B if VRAM allows
Pros & Cons
Pros
- Turing architecture: broad CUDA software support
- Workstation card with display outputs and active cooling
Cons
- 16GB usable VRAM: may need quantization for 30B+ models
- Moderate memory bandwidth: not the fastest for inference
Community Verdict
No community reviews yet for the Quadro RTX 5000. Know a good review? Let us know.