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No. gpt-oss 120B (MoE, MXFP4) does not fit on DGX Spark 64GB (ASUS, Dell, HP, MSI, Acer, Gigabyte): MXFP4 needs 67.3 GB and 54.4 GB is usable.
Hardware: DGX Spark 64GB (ASUS, Dell, HP, MSI, Acer, Gigabyte) · Model: gpt-oss 120B (MoE, MXFP4)
DGX Spark 64GB (ASUS, Dell, HP, MSI, Acer, Gigabyte) has 64 GB of unified memory and 273 GB/s of memory bandwidth. DGX OS keeps about 15% of unified memory, so Ollama can use 54.4 GB. gpt-oss 120B (MoE, MXFP4) (117B, 5.1B active, OpenAI) at MXFP4 is a 65 GB download and needs 67.3 GB with headroom for about 8k tokens.
| Best quant | MXFP4 |
|---|---|
| Download size | 65 GB |
| Memory needed | 67.3 GB |
| Usable fast memory | 54.4 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run gpt-oss:120b |
Smallest hardware that runs it: M2 Max (38c GPU) 96GB at MXFP4 (fits in fast memory, 67.3 GB needed, 72.0 GB usable, about 56 tok/s (estimate)). Can a M2 Max (38c GPU) 96GB run gpt-oss 120B (MoE, MXFP4)?
A smaller OpenAI model that fits this hardware: gpt-oss 20B (MoE, MXFP4) at MXFP4 (fits in fast memory, 15.1 GB). Can a DGX Spark 64GB (ASUS, Dell, HP, MSI, Acer, Gigabyte) run gpt-oss 20B (MoE, MXFP4)?
Open DGX Spark 64GB (ASUS, Dell, HP, MSI, Acer, Gigabyte) in the checkerEstimates, 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.
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