More
Submit build

Can DGX Spark (GB10) run Nemotron 3 Super 120B-A12B?

Yes. Measured 23.0 tok/s generation (vLLM 0.31.0, 128K ctx, 1 user, + MTP (k=3); source).

Every measured result for Nemotron 3 Super 120B-A12B on DGX Spark (GB10)

BuildQuant / setupEnginetok/s
DGX Spark (GB10, 128 GB): 23 models on vLLM at 128K context, Qwen3.6 35B-A3B up to 102 tok/s+ MTP (k=3)vLLM 0.31.0, 128K ctx, 1 user23.0source
DGX Spark (GB10, 128 GB): 23 models on vLLM at 128K context, Qwen3.6 35B-A3B up to 102 tok/sno speculative decodingvLLM 0.31.0, 128K ctx, 1 user16.1source

Memory: DGX Spark (GB10) has 128 GB. Nemotron 3 Super 120B-A12B weights are about 73.4 GB at Q4_K_M (120B params × 4.89 bits ÷ 8, before context/KV cache). 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 Nemotron 3 Super 120B-A12B: best home rig for Nemotron 3 Super 120B-A12B.

Other models measured on DGX Spark (GB10): Gemma 4 26B-A4B · Nemotron 3 Nano Omni 30B · 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 · gpt-oss 20B

Not enough VRAM? Rent before you buy. Run Nemotron 3 Super 120B-A12B 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
Referral link: if you sign up with Google and add $10, Runpod gives you and RigBase bonus credit (terms). It never affects our data.