Local AI · Recipe · 4× DGX Spark

GLM-5.3-Flash FP8 with vLLM on 4× DGX Spark

GLM-5.3-Flash FP8 with vLLM on 4× DGX Spark: 34.1 tok/s according to github.com (dataset as of Nov 3, 2026).

by jnardiello

34.1tok/sEveryday

1 request, prose prompt, with DFlash2 (per recipe)

Source: github.com
Intelligence (original model) · Artificial Analysis42with thinking

Engine

Engine
vLLM
Quantization
FP8 (Original-Snapshot) + INT8-W8A16-Residuen, Drafter W8A16
Model family
GLM-5.3-Flash
Context
262,144
Creator
jnardiello
GitHub stars
29
Repo updated
Oct 1, 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)34.1 tok/scontext kurz, 66 Wörter (Rigmark-Prosa-Prompt) · Prose decode, one request; Median aus 3 nativen Rigmark-Suiten (162 Requests), E29-Referenz 2026-09-25, direkter LAN-Client. Prompt-Länge belegt: der eingefrorene E29-Datensatz (docs/historical_benchmarks/baselines/2026-09-25-e29, Feld rigmark.prompts) pinnt das Rigmark-Prompt-Set v1.0.0 mit sha256 0c3ac4015813af6a1b967659bd2289990fde895a5e43ae065b894d1e1f909ecb; die Prompt-Datei im Repo alexellis/rigmark hat genau diesen Hash. Prosa-Aufgabe 49 Wörter plus Systemzeile 17 Wörter, 443 Zeichen Source 
  • Peak (decode)62.9 tok/sCode decode, one request; Median aus 3 Suiten, E29-Referenz 2026-09-25 Source 

Prefill by context

  • 32K2,765 tok/sPrefill 32K, cold; Median aus 3 Suiten, E29 Source 

Time to first token

Shorter is better.

  • Prompt not stated376 msProse TTFT 0.3760 s; Median aus 3 Suiten, E29 Source 

What you need

Hardware
4 × NVIDIA DGX Spark (GB10)
Weights
Engine
vLLM
Context
262,144 tokens

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Details

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