NVIDIA Tesla V100 32GB - 32GB usable

32GB of HBM2 memory at datacenter speeds. Enterprise workhorse finding second life in AI.

Specifications

BrandNVIDIA
ModelTesla V100 32GB
Usable VRAM32GB
ArchitectureVolta
CUDA / Stream Processors5,120
Memory Bandwidth900 GB/s
TDP250W
FP32 TFLOPS14

Current Offers

Used from £725New from £823

Prices last updated:

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Lowest tracked offers by retailer

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

£500£600£700£800£900Aug 21Sep 8Sep 27Oct 15Nov 3eBay £725
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 £725.00
Oct 30, 2026 £710.00
Oct 23, 2026 £825.00
Oct 9, 2026 £650.00
Oct 2, 2026 £595.00
Sep 25, 2026 £590.00
Sep 18, 2026 £590.00
Sep 11, 2026 £583.00
Sep 4, 2026 £750.00
Sep 1, 2026 £750.00
Aug 28, 2026 £525.00
Aug 21, 2026 £525.00

For AI / LLM Use

Solid choice for 30B models and comfortable 14B inference. Datacenter card with no display output, may need aftermarket cooling.

What Models Can It Run?

  • 30B Q6_K, 70B Q2_K
  • 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: ~68 tokens/sec

Prefill: ~250 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

  • 32GB usable VRAM: handles large models
  • High memory bandwidth for fast generation
  • Volta architecture: broad CUDA software support

Cons

  • No display output: headless only
  • May need aftermarket cooling solution

Community Verdict

  • r/LocalLLaMA

    32GB HBM2 with excellent bandwidth. Datacenter-only form factor but great performance for the price.

    Source