NVIDIA DGX Spark vs M4 32GB for local LLMs
91 reports on the NVIDIA DGX Spark and 14 on the M4 32GB
Which is faster for local LLMs?
Nobody has reported the same model at the same quant on both cards yet, so there's no measured head-to-head. Memory bandwidth, which caps how fast a card can write, is 2.3x higher on the NVIDIA DGX Spark (273 GB/s on the NVIDIA DGX Spark, 120 on the M4 32GB). The estimates below compare them on the models people run most.
NVIDIA DGX Spark
- Memory
- 128GB unified
- Memory bandwidth
- 273 GB/s
- FP16 compute
- 125 TFLOPS
- Reports
- 91
M4 32GB
- Memory
- 32GB unified
- Memory bandwidth
- 120 GB/s
- FP16 compute
- 4.3 TFLOPS
- Reports
- 14
Estimated by the calculator
The quant the calculator recommends for each card and its estimated speed at a 32,768-token context with 32 GB of system RAM, from memory bandwidth and the model's shape.
| Model | NVIDIA DGX Spark | M4 32GB |
|---|---|---|
| Qwen3.8 27B | 4.0 t/sFP16 | 6.8 t/sQ4_K_S |
| Qwen3.8 125B · 6B active | 14.4 t/sQ6_K | doesn't fit at these settings |
| Qwen3.6 35B · 3B active | 14.5 t/sFP16 | 24.6 t/sQ3_K_M |
| DeepSeek V4 Flash 284B · 13B active | 38.3 t/sQ2_K | doesn't fit at these settings |
| Qwen3.6 27B | 4.0 t/sFP16 | 6.8 t/sQ4_K_S |
| Gemma 4 26B · 4B active | 10.8 t/sFP16 | 14.9 t/sQ4_K_M |
Change the context, RAM or model in the calculator: NVIDIA DGX Spark · M4 32GB
Every report on each card, with its source: NVIDIA DGX Spark · M4 32GB