Builds / 4x Nvidia GB10 (unified, DGX Spark)

4x DGX Spark: MiniMax M3.1 Flash NVFP4 on vLLM TP4, 22 tok/s chat (Tech2wild)

Last updated: 28 Oct 2026

Source: github.com ↗More source: github.com ↗📏 How measured: reported by the original source; RigBase re-checked the numbers at that source

GPU(s): 4x Nvidia GB10 (unified, DGX Spark)
VRAM / unified memory (GB): 512
CPU: Nvidia GB10 Grace (Arm) per node
Amazon · eBay (used) · Newegg
Motherboard: not stated
RAM: 128 GB LPDDR5X unified per Spark (512 GB total)
PSU: not stated
Other: 4 NVIDIA DGX Sparks, multi-node
Reported total cost: not stated
Power: not stated

Measured speed (generation tokens/sec)

Model	Quant	Engine	tok/s	Prompt processing (tok/s)	Details
MiniMax M3.1 Flash	NVFP4 + DSpark	vLLM TP4, 4 nodes, 1 stream	22	not stated	⚡ spec-decode (DSpark)📏 Single-stream chat decode as published in Tech2wild's recipe README (short chat prompt, single user).

Numbers by Tech2wild (tonyd2wild); short chat prompt, single user. RigBase read the GitHub README on 2026-10-28 and checked each figure against the text. RigBase did not re-run it. Speculative decoding (MTP/DFlash/DSpark) inflates predictable text; these rows prefer prose/code over counting peaks. Recipe license: MIT.

Source: https://github.com/tonyd2wild/MiniMax-M3.1-Flash-TP4-DGX-Sparks
https://github.com/tonyd2wild/MiniMax-M3.1-Flash-TP4-DGX-Sparks/blob/main/README.md

Blank fields = not stated in the source. We never estimate build data; GPU street prices above are separately sourced and dated.

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Rent before you buy: try this model on a cloud GPU for a few dollars first: Runpod (referral link; sign up with Google to get the new-user bonus)

Quick answers: Can 4x DGX Spark (GB10) run MiniMax M3.1 Flash?