Can DGX Spark (GB10) run gpt-oss 120B?

Q: Can DGX Spark (GB10) run gpt-oss 120B?

Yes. Measured 44.4 tok/s generation on DGX Spark (GB10), via vLLM 0.31.0, 128K ctx, 1 user. Source: https://ctala.github.io/local-llm-agentic-workflows/benchmarks/

Yes. Measured 44.4 tok/s generation (vLLM 0.31.0, 128K ctx, 1 user; source).

Every measured result for gpt-oss 120B on DGX Spark (GB10)

Build	Quant / setup	Engine	tok/s
DGX Spark (GB10, 128 GB): 23 models on vLLM at 128K context, Qwen3.6 35B-A3B up to 102 tok/s		vLLM 0.31.0, 128K ctx, 1 user	44.4	source

Memory: DGX Spark (GB10) has 128 GB. gpt-oss 120B weights are about 65 GB in its native format (OpenAI model card: 117B total, 5.1B active). Arithmetic, not a measurement; long contexts need more. Check other quants in the VRAM calculator.

Speeds are decode (generation) tokens/sec as reported by each source; quant, engine and context differ, so small gaps are noise.

All measured speeds for gpt-oss 120B: best home rig for gpt-oss 120B.

gpt-oss 120B on other hardware: Apple M2 Ultra · RTX Pro 6000 (Blackwell, 96 GB) · Strix Halo (Radeon 8060S)

Other models measured on DGX Spark (GB10): Gemma 4 26B-A4B · Nemotron 3 Nano Omni 30B · Nemotron 3 Super 120B-A12B · Nemotron 3.5 Bolt 74B-A9B · Nemotron 3.5 Lightning 30B-A3B · Nemotron 3.5 Super VL 120B-A12B · Qwen3.6 27B · Qwen3.6 35B-A3B · Qwen3.8 27B · Qwen3.8 Flash-Next · gpt-oss 20B

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