NVIDIA A5000 — 24GB

Specifications

BrandNVIDIA
ModelA5000
VRAM24GB
ArchitectureAmpere
CUDA / Stream Processors8,192
Memory Bandwidth768 GB/s
TDP230W
FP32 TFLOPS27.8

Current Prices

Prices last updated:

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Price History

Prices stable since 2026-03-13

2026-03-132026-03-152026-03-272026-04-032026-04-102026-04-172026-04-242026-05-012026-05-08£1941£1883£3034£3267
AmazoneBay

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: ~58 tokens/sec

Prefill: ~496 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 VRAM — handles large models
  • Ampere architecture — good software support
  • Consumer card — easy to install, display output

Cons

  • Moderate memory bandwidth — not the fastest for inference

Community Verdict

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