NVIDIA RTX 8000 - 48GB
Specifications
| Brand | NVIDIA |
|---|---|
| Model | RTX 8000 |
| VRAM | 48GB |
| Architecture | Turing |
| CUDA / Stream Processors | 4,608 |
| Memory Bandwidth | 672 GB/s |
| TDP | 260W |
| FP32 TFLOPS | 16.3 |
Current Prices
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Price History
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For AI / LLM Use
Best for running 70B+ models on a single GPU.
What Models Can It Run?
- 70B Q4_K_M, 30B full precision
- 30B Q6_K, 70B Q2_K
- 30B Q4_K_M, 14B full precision, 70B Q2 (tight)
- 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: ~50 tokens/sec
Prefill: ~291 tokens/sec
Recommended Quantisations
- Q6_K or Q8 for best quality
- Q4_K_M for larger models
- Full precision for 30B and below
Pros & Cons
Pros
- 48GB VRAM: handles large models
- Turing architecture: good software support
- Consumer card: easy to install, display output
Cons
- Moderate memory bandwidth: not the fastest for inference
Community Verdict
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