GPU comparison
MacBook Air/Pro M5 (32GB) vs NVIDIA DGX Spark (GB10, 128GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 48 tracked models each one can run.
| MacBook Air/Pro M5 (32GB) | NVIDIA DGX Spark (GB10, 128GB) | |
|---|---|---|
| Memory | 32.0 GB | 128.0 GB |
| Bandwidth | 153 GB/s | 273 GB/s |
| Price (approx) | $1,499 | $4,699 |
| LLMs it runs | 34 of 48 | 41 of 48 |
| Best model it runs | Gemma 4 31B · 6–9 tok/s | Gemma 4 31B · 11–16 tok/s |
The NVIDIA DGX Spark (GB10, 128GB) runs 7 more of the tracked models (41 vs 34), thanks to its 128.0 GB of memory. The NVIDIA DGX Spark (GB10, 128GB) has more memory bandwidth (273 GB/s), so it generates tokens faster at the same model and quant.