NVIDIA RTX 2080 Super — 8GB
Specifications
| Brand | NVIDIA |
|---|---|
| Model | RTX 2080 Super |
| VRAM | 8GB |
| Architecture | Turing |
| CUDA / Stream Processors | 3,072 |
| Memory Bandwidth | 496 GB/s |
| TDP | 250W |
| FP32 TFLOPS | 11 |
Current Prices
Prices last updated:
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Price History
Best price up 117% since 2026-03-13
NeweggeBay
For AI / LLM Use
Limited VRAM restricts you to 7B quantized models.
What Models Can It Run?
- 7B Q6_K, 14B Q3_K (tight)
- 7B Q4_K_M only
Estimated Performance
Generation: ~37 tokens/sec
Prefill: ~196 tokens/sec
Recommended Quantisations
- Q4_K_M for 7B models
- Q3_K for larger experiments
Pros & Cons
Pros
- Turing architecture — good software support
- Consumer card — easy to install, display output
Cons
- Only 8GB VRAM — limited to small models
- Moderate memory bandwidth — not the fastest for inference
Community Verdict
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