NVIDIA Quadro RTX 5000 — 16GB
Specifications
| Brand | NVIDIA |
|---|---|
| Model | Quadro RTX 5000 |
| VRAM | 16GB |
| Architecture | Turing |
| CUDA / Stream Processors | 3,072 |
| Memory Bandwidth | 448 GB/s |
| TDP | 230W |
| FP32 TFLOPS | 11.2 |
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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: ~34 tokens/sec
Prefill: ~200 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
- Turing architecture — good software support
- Consumer card — easy to install, display output
Cons
Community Verdict
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