NVIDIA DGX Spark vs NVIDIA Jetson Orin Nano Super 8GB for local LLMs
77 reports on the NVIDIA DGX Spark and 1 on the NVIDIA Jetson Orin Nano Super 8GB
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 2.7x higher on the NVIDIA DGX Spark (273 GB/s on the NVIDIA DGX Spark, 102 on the NVIDIA Jetson Orin Nano Super 8GB). The estimates below compare them on the models people run most.
- Memory
- 128GB unified
- Memory bandwidth
- 273 GB/s
- FP16 compute
- 125 TFLOPS
- Reports
- 77
- Memory
- 8GB unified
- Memory bandwidth
- 102 GB/s
- FP16 compute
- 16.8 TFLOPS
- Reports
- 1
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 | NVIDIA Jetson Orin Nano Super 8GB |
|---|---|---|
| Qwen3.8 27B | 4.0 t/sFP16 | doesn't fit at these settings |
| Qwen3.8 125B · 6B active | 14.4 t/sQ6_K | doesn't fit at these settings |
| DeepSeek V4 Flash 284B · 13B active | 38.3 t/sQ2_K | doesn't fit at these settings |
| Qwen3.6 35B · 3B active | 14.5 t/sFP16 | doesn't fit at these settings |
| Qwen3.6 27B | 4.0 t/sFP16 | doesn't fit at these settings |
| Gemma 4 26B · 4B active | 10.8 t/sFP16 | doesn't fit at these settings |
Change the context, RAM or model in the calculator: NVIDIA DGX Spark · NVIDIA Jetson Orin Nano Super 8GB
Every report on each card, with its source: NVIDIA DGX Spark · NVIDIA Jetson Orin Nano Super 8GB