GPU comparison
Mac Studio M2 Ultra (192GB) vs NVIDIA RTX 6000 Ada (48GB) 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.
| Mac Studio M2 Ultra (192GB) | NVIDIA RTX 6000 Ada (48GB) | |
|---|---|---|
| Memory | 192.0 GB | 48.0 GB |
| Bandwidth | 800 GB/s | 960 GB/s |
| Price (approx) | $5,599 | $6,800 |
| LLMs it runs | 16 of 18 | 16 of 18 |
| Best model it runs | Gemma 4 31B · 13–19 tok/s | Gemma 4 31B · 21–31 tok/s |
Both run the same number of models, but the Mac Studio M2 Ultra (192GB) has more memory (192.0 GB), so it can hold larger models at higher quality. The NVIDIA RTX 6000 Ada (48GB) has more memory bandwidth (960 GB/s), so it generates tokens faster at the same model and quant.