NVIDIA RTX 4070 Super - 12GB usable
Specifications
| Brand | NVIDIA |
|---|---|
| Model | RTX 4070 Super |
| Usable VRAM | 12GB |
| Architecture | Ada |
| CUDA / Stream Processors | 7,168 |
| Memory Bandwidth | 504 GB/s |
| TDP | 220W |
| FP32 TFLOPS | 36 |
Current Offers
Used from €550
Prices last updated:
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Price History
- eBay€550at high
For AI / LLM Use
Entry-level for local AI. Handles 7B-8B models well.
What Models Can It Run?
- 14B Q4_K_M, 7B full precision
- 7B Q6_K, 14B Q3_K (tight)
- 7B Q4_K_M only
Estimated Performance
Generation: ~38 tokens/sec
Prefill: ~643 tokens/sec
Recommended Quantisations
- Q4_K_M for 14B (tight fit)
- Q6_K or Q8 for 7B models
Pros & Cons
Pros
- Ada architecture: broad CUDA software support
- Consumer card: easy to install, display output
Cons
- 12GB usable VRAM: may need quantization for 30B+ models
- Moderate memory bandwidth: not the fastest for inference
Community Verdict
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