NVIDIA RTX 4060 - 8GB usable
Specifications
| Brand | NVIDIA |
|---|---|
| Model | RTX 4060 |
| Usable VRAM | 8GB |
| Architecture | Ada |
| CUDA / Stream Processors | 3,072 |
| Memory Bandwidth | 272 GB/s |
| TDP | 115W |
| FP32 TFLOPS | 15 |
Current Offers
Used from $290New from $360
Prices last updated:
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Price History
- eBay$290at high
- Amazon$310current
- Neweggno current offer
For AI / LLM Use
Limited VRAM restricts you to 7B quantized models. Slower generation, usable but not snappy.
What Models Can It Run?
- 7B Q6_K, 14B Q3_K (tight)
- 7B Q4_K_M only
Estimated Performance
Generation: ~20 tokens/sec
Prefill: ~268 tokens/sec
Recommended Quantisations
- Q4_K_M for 7B models
- Q3_K for larger experiments
Pros & Cons
Pros
- Only 115W TDP: power efficient
- Ada architecture: broad CUDA software support
- Consumer card: easy to install, display output
Cons
- Only 8GB usable VRAM: limited to small models
- Low memory bandwidth: slower token generation
Community Verdict
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