Can DGX Spark (GB10) run Qwen3.8 Flash-Next?

Q: Can DGX Spark (GB10) run Qwen3.8 Flash-Next?

Yes. Measured 26.8 tok/s generation on DGX Spark (GB10), via patched vLLM (qwen38-flash-dgx), 128K ctx, 1 user, + MTP (k=2). Source: https://ctala.github.io/local-llm-agentic-workflows/benchmarks/

Yes. Measured 26.8 tok/s generation (patched vLLM (qwen38-flash-dgx), 128K ctx, 1 user, + MTP (k=2); source).

Every measured result for Qwen3.8 Flash-Next 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	+ MTP (k=2)	patched vLLM (qwen38-flash-dgx), 128K ctx, 1 user	26.8	source

Memory: DGX Spark (GB10) has 128 GB. Qwen3.8 Flash-Next weights are about 110.1 GB at Q4_K_M (180B 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 Qwen3.8 Flash-Next: best home rig for Qwen3.8 Flash-Next.

Qwen3.8 Flash-Next on other hardware: 2x Intel Arc Pro B70 · 2x RTX 5070 Ti · 2x RTX 5080 · 2x RTX PRO 4000 Blackwell · 2x Tesla V100 32GB · RTX 5090

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 · gpt-oss 120B · gpt-oss 20B

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