Can DGX Spark (GB10) run gpt-oss 20B?

Q: Can DGX Spark (GB10) run gpt-oss 20B?

Yes. Measured 96.2 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 96.2 tok/s generation (vLLM 0.31.0, 128K ctx, 1 user; source).

Every measured result for gpt-oss 20B 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	96.2	source
Dell Pro Max with GB10 (Nvidia DGX Spark)		llama.cpp	87.97	source

Memory: DGX Spark (GB10) has 128 GB. gpt-oss 20B weights are about 13 GB in its native format (GGUF param count via llamabench.ai (OpenAI model card: 21B total, 3.6B 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 20B: best home rig for gpt-oss 20B.

gpt-oss 20B on other hardware: Apple M1 Max · Apple M1 Ultra · Apple M2 Ultra · Apple M3 Ultra · Apple M4 Max · RTX 3060 12GB · RTX 3090 · RTX 4070 Ti · RTX 4090 · RTX 5060 Ti 16GB · RTX 5070 Ti · RTX 5080 · RTX 5090 · RTX A4000 · RTX Pro 6000 (Blackwell, 96 GB) · RTX Spark N1X · Radeon AI Pro R9700

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 120B

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