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Can RTX Spark N1X run gpt-oss 20B?

Yes. Measured 58.0 tok/s generation (Ollama, Ollama default, 64K context, Codex CLI coding agent; source).

Every measured result for gpt-oss 20B on RTX Spark N1X

BuildQuant / setupEnginetok/s
HP OmniBook Ultra 16 (RTX Spark N1X, 128GB) laptop: local AI benchmarksOllama default, 64K context, Codex CLI coding agentOllama58.0source

Memory: RTX Spark N1X 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 · DGX Spark (GB10) · 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) · Radeon AI Pro R9700

Other models measured on RTX Spark N1X: GLM 4.7 Flash · Muse Glimmer 30B · Nemotron 3 Nano Omni 30B · Qwen3.5 122B · Qwen3.6 35B-A3B · Qwen3.8 27B

Not enough VRAM? Rent before you buy. Run gpt-oss 20B on a bigger GPU on a rented 24–96 GB cloud GPU by the hour and see the real speed before spending €1,000+. Try it on Runpod
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