NVIDIA RTX 4080 Super — 16GB
Specifications
| Brand | NVIDIA |
|---|---|
| Model | RTX 4080 Super |
| VRAM | 16GB |
| Architecture | Ada |
| CUDA / Stream Processors | 10,240 |
| Memory Bandwidth | 736 GB/s |
| TDP | 320W |
| FP32 TFLOPS | 52 |
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For AI / LLM Use
Good for 14B models. 30B requires aggressive quantisation.
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 — good software support
- Consumer card — easy to install, display output
Cons
- 320W TDP — high power draw
Community Verdict
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