Hardware comparison
Mac Studio M5 Ultra (96GB) vs NVIDIA RTX 5080 (16GB) 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 | Mac Studio M5 Ultra (96GB) | NVIDIA RTX 5080 (16GB) |
|---|---|---|
| Memory | 96.0 GB (better for this comparison) | 16.0 GB |
| Bandwidth | 1228 GB/s (better for this comparison) | 960 GB/s |
| Price (approx) | $5,499Complete system | $1,399GPU only · host PC required, sold separately |
| LLMs it runs | 60 of 69 (better for this comparison) | 48 of 69 |
| Best model it runs | Gemma 4 31BQ8_0 · estimated 21–32 tok/s | Gemma 4 31BQ2_K · estimated 48–71 tok/s |
These prices cover different purchases: a GPU card excludes its required host PC; a complete system includes the machine. No price winner is marked. Prices are approximate catalog estimates; check current configurations and prices before buying.
The recommended quants differ. These estimated speeds are not a like-for-like comparison. Estimates use 4,096 context tokens, llama.cpp and one stream.
The Mac Studio M5 Ultra (96GB) runs 12 more of the tracked models (60 vs 48), thanks to its 96.0 GB of memory. The Mac Studio M5 Ultra (96GB) has more memory bandwidth (1228 GB/s). Higher bandwidth can help generation speed, but model, quant, architecture and runtime also affect the estimates.