Hardware comparison
NVIDIA RTX 3090 (24GB) 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 69 tracked models each one can run.
Scroll sideways to compare both machines. Keyboard: focus the table, then use the arrow keys. Metric names stay visible.
| Hardware | NVIDIA RTX 3090 (24GB) | AMD RX 7900 XTX (24GB) |
|---|---|---|
| Memory | 24.0 GB | 24.0 GB |
| Bandwidth | 936 GB/s | 960 GB/s (better for this comparison) |
| Price (approx) | $1,099GPU only · host PC required, sold separately | $949 (better for this comparison)GPU only · host PC required, sold separately |
| LLMs it runs | 51 of 69 | 51 of 69 |
| Best model it runs | Gemma 4 31BQ3_K_M · estimated 39–58 tok/s | Gemma 4 31BQ3_K_M · estimated 40–60 tok/s |
Both prices cover GPU cards only. A host PC is required and its cost is excluded. Prices are approximate catalog estimates; check current configurations and prices before buying.
Both estimated speeds use the same model and quant shown above. Estimates use 4,096 context tokens, llama.cpp and one stream.
The NVIDIA RTX 3090 (24GB) and AMD RX 7900 XTX (24GB) run the same number of tracked models. Compare their ecosystem and purchase scope before price. The AMD RX 7900 XTX (24GB) has more memory bandwidth (960 GB/s). Higher bandwidth can help generation speed, but model, quant, architecture and runtime also affect the estimates.