NVIDIA GTX 1080 Ti - 11GB usable
11GB and 484 GB/s make this the pick of the Pascal cards, still fine for 7B-13B. Old enough that framework support is lapsing.
Specifications
| Brand | NVIDIA |
|---|---|
| Model | GTX 1080 Ti |
| Usable VRAM | 11GB |
| Architecture | Pascal |
| CUDA / Stream Processors | 3,584 |
| Memory Bandwidth | 484 GB/s |
| TDP | 250W |
| FP32 TFLOPS | 11.3 |
Current Offers
Prices last updated:
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Lowest tracked offers by retailer
UK · GBP · Weekly since Aug 2026 · Shipping may be extra
- eBay £120 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 | £120.00 |
| Oct 30, 2026 | £120.00 |
| Oct 23, 2026 | £120.00 |
| Oct 9, 2026 | £126.29 |
| Oct 2, 2026 | £136.00 |
| Sep 25, 2026 | £135.90 |
| Sep 18, 2026 | £134.99 |
| Sep 11, 2026 | £125.50 |
| Sep 4, 2026 | £120.30 |
| Sep 1, 2026 | £103.65 |
| Aug 28, 2026 | £104.70 |
| Aug 21, 2026 | £120.00 |
For AI / LLM Use
Limited VRAM restricts you to 7B quantized models. Older architecture may have limited software support (check CUDA compatibility).
What Models Can It Run?
- 7B Q6_K, 14B Q3_K (tight)
- 7B Q4_K_M only
Estimated Performance
Generation: ~36 tokens/sec
Prefill: ~202 tokens/sec
Recommended Quantisations
- Q4_K_M for 7B models
- Q3_K for larger experiments
Pros & Cons
Pros
- Consumer card: easy to install, display output
Cons
- Moderate memory bandwidth: not the fastest for inference
- Older Pascal architecture: verify current CUDA support
Community Verdict
No community reviews yet for the GTX 1080 Ti. Know a good review? Let us know.