GPU comparison
MacBook Air/Pro M5 (32GB) 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 34 tracked models each one can run.
| MacBook Air/Pro M5 (32GB) | NVIDIA RTX 6000 Ada (48GB) | |
|---|---|---|
| Memory | 32.0 GB | 48.0 GB |
| Bandwidth | 153 GB/s | 960 GB/s |
| Price (approx) | $1,499 | $6,800 |
| LLMs it runs | 25 of 34 | 26 of 34 |
| Best model it runs | Gemma 4 31B · 6–9 tok/s | Gemma 4 31B · 20–30 tok/s |
The NVIDIA RTX 6000 Ada (48GB) runs 1 more of the tracked models (26 vs 25), thanks to its 48.0 GB of memory. The NVIDIA RTX 6000 Ada (48GB) has more memory bandwidth (960 GB/s), so it generates tokens faster at the same model and quant.