AMD RX 7900 GRE — 16GB
Specifications
| Brand | AMD |
|---|---|
| Model | RX 7900 GRE |
| VRAM | 16GB |
| Architecture | RDNA3 |
| CUDA / Stream Processors | 5,120 |
| Memory Bandwidth | 576 GB/s |
| TDP | 260W |
| FP32 TFLOPS | 46 |
Current Prices
Prices last updated:
GPUDojo is reader-supported. When you buy through links on our site, we may earn an affiliate commission.
Price History
Prices stable since 2026-03-13
NeweggeBay
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: ~43 tokens/sec
Prefill: ~821 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
- RDNA3 architecture — good software support
- Consumer card — easy to install, display output
Cons
- 16GB VRAM — may need quantization for 30B+ models
- Moderate memory bandwidth — not the fastest for inference
Community Verdict
No community reviews yet for the RX 7900 GRE. Know a good review? Let us know.