NVIDIA Quadro RTX 5000 - 16GB usable
16GB Turing with a blower, so it behaves in cases that cannot cool an open-fan card. Newer 16GB cards move data noticeably faster.
Specifications
| Brand | NVIDIA |
|---|---|
| Model | Quadro RTX 5000 |
| Usable VRAM | 16GB |
| Architecture | Turing |
| CUDA / Stream Processors | 3,072 |
| Memory Bandwidth | 448 GB/s |
| TDP | 230W |
| FP32 TFLOPS | 11.2 |
Current Offers
Used from $260New from $475
Prices last updated:
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Price History
- eBay$260mid-range
- Amazon$475current
- Newegg$835near high
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: ~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: broad CUDA software support
- Workstation card with display outputs and active cooling
Cons
- 16GB usable VRAM: may need quantization for 30B+ models
- Moderate memory bandwidth: not the fastest for inference
Community Verdict
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