A18 Pro 8GB vs NVIDIA DGX Spark for local LLMs
0 reports on the A18 Pro 8GB and 57 on the NVIDIA DGX Spark
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 4.5x higher on the NVIDIA DGX Spark (60 GB/s on the A18 Pro 8GB, 273 on the NVIDIA DGX Spark). The estimates below compare them on the models people run most.
A18 Pro 8GB
- Memory
- 8GB unified
- Memory bandwidth
- 60 GB/s
- FP16 compute
- not on record
- Reports
- 0
NVIDIA DGX Spark
- Memory
- 128GB unified
- Memory bandwidth
- 273 GB/s
- FP16 compute
- 125 TFLOPS
- Reports
- 57
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 | A18 Pro 8GB | NVIDIA DGX Spark |
|---|---|---|
| Qwen3.8 27B | doesn't fit at these settings | 4.0 t/sFP16 |
| Qwen3.8 125B · 6B active | doesn't fit at these settings | 14.4 t/sQ6_K |
| DeepSeek V4 Flash 284B · 13B active | doesn't fit at these settings | 38.3 t/sQ2_K |
| Qwen3.6 35B · 3B active | doesn't fit at these settings | 14.5 t/sFP16 |
| Qwen3.6 27B | doesn't fit at these settings | 4.0 t/sFP16 |
| Gemma 4 26B · 4B active | doesn't fit at these settings | 10.8 t/sFP16 |
Change the context, RAM or model in the calculator: A18 Pro 8GB · NVIDIA DGX Spark
Every report on each card, with its source: A18 Pro 8GB · NVIDIA DGX Spark