Hardware comparison
Mac Studio M5 Ultra (256GB) 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 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 (256GB) | NVIDIA DGX Spark (GB10, 128GB) |
|---|---|---|
| Memory | 256.0 GB (better for this comparison) | 128.0 GB |
| Bandwidth | 1228 GB/s (better for this comparison) | 273 GB/s |
| Price (approx) | $9,499Complete system | $4,699 (better for this comparison)Complete system |
| LLMs it runs | 65 of 69 (better for this comparison) | 62 of 69 |
| Best model it runs | Hunyuan Hy3 (MoE)Q3_K_M · estimated 52–78 tok/s | Gemma 4 31BQ2_K · estimated 13–20 tok/s |
Both prices cover complete systems. Prices are approximate catalog estimates; check current configurations and prices before buying.
The recommended models and 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 (256GB) runs 3 more of the tracked models (65 vs 62), thanks to its 256.0 GB of memory. The Mac Studio M5 Ultra (256GB) has more memory bandwidth (1228 GB/s). Higher bandwidth can help generation speed, but model, quant, architecture and runtime also affect the estimates.