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Local AI · Recipe · 2× DGX Spark

Qwen3.8-Flash-Next 125B NVFP4 with TensorFold on 2× DGX Spark (1M context)

Qwen3.8-Flash-Next 125B NVFP4 with TensorFold on 2× DGX Spark (1M context): 67.4 tok/s according to github.com (dataset as of Sep 29, 2026).

by MiaAI-Lab

67.4tok/sEveryday

1 request, prose prompt, with MTP (per recipe)

Source: github.com
Intelligence (original model) · Artificial Analysis40with thinking

Install: Qwen3.8-Flash-Next 125B NVFP4 with TensorFold on 2× DGX Spark (1M context)

Command
git clone https://github.com/MiaAI-Lab/Qwen3.8-Flash-Dual-DGX-Sparks-TensorFold.git && cd Qwen3.8-Flash-Dual-DGX-Sparks-TensorFold && cp scripts/local.sh.example scripts/local.sh && ./start.sh

Full instructions in the README Repo

Engine

Engine
TensorFold tensorfold-native (Zig, zig-flashnext db281878 + patches), Image ghcr.io/miaai-lab/qwen3.8-flash-dual-dgx-sparks-tensorfold:zig-db28187-f3e1300f4f62, TP=2 über CX7/RoCE, MTP + Copy-Drafts
Quantization
NVFP4 (nvidia, Experten) + FP8 n-gram/MTP, FP8 KV
Model family
Qwen3.8-Flash-Next
Context
1,048,576
Parameters
125B MoE / 6,0B aktiv
Creator
MiaAI-Lab
GitHub stars
15
Repo updated
Oct 8, 2026

Measurements

Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.

Decode · 1 request

  • Everyday (decode)67.4 tok/scontext 1024K · Prosa, sparkDash 2026-10-07, Defaults (PARALLEL 16, FP8 KV, Vision an); TTFT 104 ms Source 

Decode · parallel requests

Sums over all streams are marked; per request it is correspondingly less.

  • 16 parallel requests390 tok/sPeak (decode) · context 1024K · Prosa ×16 aggregiert (26,8 pro Request); ×8 231,2 Source 

Prefill by context

  • 16K2,757 tok/sFrüher am selben Tag gemessen, bf16 KV, PARALLEL 8; 4k 2.648 / 128k 2.601 / 256k 2.458 tok/s Source 

Time to first token

Shorter is better.

What you need

Hardware
2 × NVIDIA DGX Spark (GB10)
Engine
TensorFold tensorfold-native (Zig, zig-flashnext db281878 + patches), Image ghcr.io/miaai-lab/qwen3.8-flash-dual-dgx-sparks-tensorfold:zig-db28187-f3e1300f4f62, TP=2 über CX7/RoCE, MTP + Copy-Drafts
Context
1,048,576 tokens

Notes

What matters before you rebuild it.

  • Custom kernel required
  • vision
  • tool-calling
  • License unclear

Sources

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Details

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