Can NVIDIA DGX Spark (GB10) · 64 GB run gpt-oss-120b?
64 GB unified · 273 GB/s memory bandwidth · gpt-oss-120b has 116.8B parameters (5.1B active per token).
Short answer
No. It doesn't fit in memory.
Needs ≈60 GB but only ≈57 GB is available after the OS, other apps and Open WebUI.
Why it doesn’t fit
Even its smallest practical version (MXFP4) needs about 60 GB for the model, its context memory and the runtime. After the operating system (≈3.2 GB), a browser with a few tabs (≈3.0 GB) and Open WebUI (≈1.0 GB), NVIDIA DGX Spark (GB10) · 64 GB has about 57 GB left, so it’s 3.3 GB short.
Ways to make it work
Close everything else
Not enough on its own: with every other app closed it’s still about 0.3 GB short.
Pick a smaller model from the same family
Get more memory
The same machine with 128 GB handles it: Excellent.
Check your exact setup
These pages assume typical settings. A shorter context or a lighter chat app can change the answer.
Check NVIDIA DGX Spark (GB10) · 64 GB
The same applies to every workload we rate (chat, coding questions, coding in a repository, agentic coding and long documents): they all need at least as much memory as chat.
Other models for NVIDIA DGX Spark (GB10) · 64 GB
The best-rated models for chat on this machine.
- Qwen3.6 35B-A3B60–80 tok/sExcellent
- Qwen3-Next 80B-A3B Instruct80–110 tok/sExcellent
- Gemma 4 26B-A4B45–60 tok/sExcellent
- Qwen3.5 35B-A3B60–80 tok/sExcellent
- LFM2.5 24B-A2B120–160 tok/sExcellent
- gpt-oss-20b≈75 tok/sExcellent
Cheapest machines for gpt-oss-120b
Hardware rated comfortable or better for chat, lowest price first.
- Ryzen AI Max+ 395 mini PC / Framework Desktop · 128 GB$2,000 · 50–70 tok/sExcellent
- Mac Studio M2 Max 96 GB$3,799 · 65–85 tok/sExcellent
- MacBook Pro M3 Max 96 GB$3,999 · 50–65 tok/sExcellent
- Mac Studio M4 Max 128 GB$4,099 · 85–110 tok/sExcellent
- Mac Studio M5 Max 128 GB$4,099 · 80–130 tok/sExcellent
- MacBook Pro M2 Max 96 GB$5,099 · 65–85 tok/sExcellent
Same chip, other memory: 128 GB
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.