AMD RX 9060 XT - 16GB usable
Specifications
| Brand | AMD |
|---|---|
| Model | RX 9060 XT |
| Usable VRAM | 16GB |
| Architecture | RDNA4 |
| CUDA / Stream Processors | 2,048 |
| Memory Bandwidth | 320 GB/s |
| TDP | 160W |
| FP32 TFLOPS | 26 |
Current Offers
Used from $450New from $479
Prices last updated:
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Price History
- eBay$450at low
- Amazon$479current
- Newegg$498at high
For AI / LLM Use
Good for 14B models. 30B requires aggressive quantization. Slower generation, usable but not snappy. Verify ROCm support for the exact framework and operating system you plan to use.
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: ~24 tokens/sec
Prefill: ~464 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
- RDNA4 architecture: supported by current ROCm stacks
- Consumer card: easy to install, display output
Cons
- 16GB usable VRAM: may need quantization for 30B+ models
- Moderate memory bandwidth: not the fastest for inference
- ROCm and CUDA-first framework compatibility should be checked before purchase
Community Verdict
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