Can 2x DGX Spark (GB10) run Qwen3.8 Flash-Next?
Yes. Measured 67.4 tok/s generation (TensorFold Zig, 2 nodes, 1 stream, NVFP4 or INT4-AR + MTP; source).
Every measured result for Qwen3.8 Flash-Next on 2x DGX Spark (GB10)
| Build | Quant / setup | Engine | tok/s | |
|---|---|---|---|---|
| 2x DGX Spark: Qwen3.8 Flash-Next NVFP4 or INT4-AR on TensorFold Zig, 67.4 tok/s (Mia's AI Lab recipe) | NVFP4 or INT4-AR + MTP | TensorFold Zig, 2 nodes, 1 stream | 67.4 | source |
| 2x DGX Spark: Qwen3.8 Flash-Next NVFP4 on vLLM, 54.4 tok/s (Mia's AI Lab recipe) | NVFP4 | vLLM, 2 nodes, 1 stream | 54.4 | source |
Memory: 2x DGX Spark (GB10) has 256 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 · 6x RTX 3090 · DGX Spark (GB10) · RTX 5090
Other models measured on 2x DGX Spark (GB10): DeepSeek V4.1 Flash · GLM-5.3 Flash · MiMo V2.6 Flash
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