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Local AI · Recipe · 4× DGX Spark

DeepSeek-V4.1-Flash FP8/MXFP4 with SparkRing on 4× DGX Spark

DeepSeek-V4.1-Flash FP8/MXFP4 with SparkRing on 4× DGX Spark: 57 tok/s according to github.com (dataset as of Sep 29, 2026).

by fujitsupolycom

57tok/sEveryday

1 request, decode at 16K context (profile table), thinking on, high

Source: github.com
Intelligence (original model) · Artificial Analysis40with thinkingno thinking 25
Instructions in the README Repo

Engine

Engine
vLLM (local-inference-lab Fork) via SparkRing (switchless NCCL ueber ConnectX-7)
Quantization
Stock-Checkpoint FP8/MXFP4 (DeepSeek)
Model family
DeepSeek-V4.1-Flash
Context
—
Parameters
763,2 GB Safetensors (510 GB on disk laut DB-Vorzeile)
Creator
fujitsupolycom
GitHub stars
91
Repo updated
Oct 6, 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)57 tok/scontext 16K · 1 Nutzer, je 16K Kontext; Thinking on, high Source 

Decode · parallel requests

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

  • 16 parallel requests275 tok/sPeak (decode) · context 16K · Thinking on, high Source 

Prefill by context

What you need

Hardware
4 × NVIDIA DGX Spark (GB10)
Engine
vLLM (local-inference-lab Fork) via SparkRing (switchless NCCL ueber ConnectX-7)

Notes

What matters before you rebuild it.

  • Custom kernel required

Sources

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Details

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