← CanIRunLocal · All hardware · All models
Yes. SmolLM2 360M fits in fast memory on DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) at FP16 (1.3 GB needed, 108.8 GB usable), about 280 tok/s (estimate).
Hardware: DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) · Model: SmolLM2 360M
DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) has 128 GB of unified memory and 273 GB/s of memory bandwidth. DGX OS keeps about 15% of unified memory, so Ollama can use 108.8 GB. SmolLM2 360M (0.362B, HuggingFace) at FP16 is a 0.73 GB download and needs 1.3 GB with headroom for about 8k tokens.
| Best quant | FP16 |
|---|---|
| Download size | 0.73 GB |
| Memory needed | 1.3 GB |
| Usable fast memory | 108.8 GB |
| Fit | fits in fast memory |
| Estimated speed | ~280 tok/s (estimate) |
| Command | ollama run smollm2:360m |
Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.
A project by OnDevice Labs · llms.txt