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Can a DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) run Laya 421M (Convai, decision)?

Yes. Laya 421M (Convai, decision) fits in fast memory on DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) at BF16 (1.5 GB needed, 108.8 GB usable), about 244 tok/s (estimate).

Hardware: DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) · Model: Laya 421M (Convai, decision)

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. Laya 421M (Convai, decision) (0.421B, Convai Innovations) at BF16 is a 0.84 GB download and needs 1.5 GB with headroom for about 8k tokens.

Best quantBF16
Download size0.84 GB
Memory needed1.5 GB
Usable fast memory108.8 GB
Fitfits in fast memory
Estimated speed~244 tok/s (estimate)
Commandollama run laya:421m-english-bf16
Open DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) in the checker

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