GPU comparison
Mac Studio M2 Ultra (192GB) vs NVIDIA RTX 4070 (12GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 22 tracked models each one can run.
| Mac Studio M2 Ultra (192GB) | NVIDIA RTX 4070 (12GB) | |
|---|---|---|
| Memory | 192.0 GB | 12.0 GB |
| Bandwidth | 800 GB/s | 504 GB/s |
| Price (approx) | $5,599 | $549 |
| LLMs it runs | 20 of 22 | 8 of 22 |
| Best model it runs | Hunyuan Hy3 (MoE) · 48–71 tok/s | Gemma 4 12B · 42–63 tok/s |
The Mac Studio M2 Ultra (192GB) runs 12 more of the tracked models (20 vs 8), thanks to its 192.0 GB of memory. The Mac Studio M2 Ultra (192GB) has more memory bandwidth (800 GB/s), so it generates tokens faster at the same model and quant.