GPU comparison
NVIDIA RTX 4080 (16GB) vs AMD RX 7900 XTX (24GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 18 tracked models each one can run.
| NVIDIA RTX 4080 (16GB) | AMD RX 7900 XTX (24GB) | |
|---|---|---|
| Memory | 16.0 GB | 24.0 GB |
| Bandwidth | 717 GB/s | 960 GB/s |
| Price (approx) | $999 | $899 |
| LLMs it runs | 12 of 18 | 15 of 18 |
| Best model it runs | Gemma 4 26B-A4B (MoE) · 107–161 tok/s | Gemma 4 31B · 32–48 tok/s |
The AMD RX 7900 XTX (24GB) runs 3 more of the tracked models (15 vs 12), thanks to its 24.0 GB of memory. The AMD RX 7900 XTX (24GB) has more memory bandwidth (960 GB/s), so it generates tokens faster at the same model and quant.