NVIDIA RTX 4080 Super - 16GB usable

Specifications

BrandNVIDIA
ModelRTX 4080 Super
Usable VRAM16GB
ArchitectureAda
CUDA / Stream Processors10,240
Memory Bandwidth736 GB/s
TDP320W
FP32 TFLOPS52

Current Offers

Used from 890

Prices last updated:

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Price History

  • eBay890mid-range
Mar 13Apr 17May 22Jul 3Aug 7Sep 4793899

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: ~55 tokens/sec

Prefill: ~929 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

  • Ada architecture: broad CUDA software support
  • Consumer card: easy to install, display output

Cons

  • 16GB usable VRAM: may need quantization for 30B+ models
  • Moderate memory bandwidth: not the fastest for inference
  • 320W TDP: high power draw

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