NVIDIA Tesla V100 16GB - 16GB usable
Specifications
| Brand | NVIDIA |
|---|---|
| Model | Tesla V100 16GB |
| Usable VRAM | 16GB |
| Architecture | Volta |
| CUDA / Stream Processors | 5,120 |
| Memory Bandwidth | 900 GB/s |
| TDP | 250W |
| FP32 TFLOPS | 14 |
Current Offers
Used from £392New from £512
Prices last updated:
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Lowest tracked offers by retailer
UK · GBP · Weekly since Sep 2026 · Shipping may be extra
- eBay £392 at 90-day high
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 | £392.00 |
| Oct 30, 2026 | £281.50 |
| Oct 23, 2026 | £304.00 |
| Oct 9, 2026 | £292.00 |
| Oct 2, 2026 | £282.00 |
| Sep 25, 2026 | £282.00 |
| Sep 18, 2026 | £300.00 |
| Sep 11, 2026 | £300.00 |
For AI / LLM Use
Good for 14B models. 30B requires aggressive quantization. Datacenter card with no display output, may need aftermarket cooling.
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: ~68 tokens/sec
Prefill: ~250 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
- High memory bandwidth for fast generation
- Volta architecture: broad CUDA software support
Cons
- 16GB usable VRAM: may need quantization for 30B+ models
- No display output: headless only
- May need aftermarket cooling solution
Community Verdict
No community reviews yet for the Tesla V100 16GB. Know a good review? Let us know.