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Builds / 2x Nvidia GB10 (unified, DGX Spark)

2x DGX Spark: GLM-5.3 Flash NVFP4 on vLLM TP2, 35.3 tok/s prose (Tech2wild)

Last updated:

Source: github.com ↗More source: github.com ↗📏 How measured: reported by the original source; RigBase re-checked the numbers at that source
GPU(s)
2x Nvidia GB10 (unified, DGX Spark)
VRAM / unified memory (GB)
256
CPU
Nvidia GB10 Grace (Arm) per node
Amazon · eBay (used) · Newegg
Motherboard
not stated
RAM
128 GB LPDDR5X unified per Spark (256 GB total)
PSU
not stated
Other
2 NVIDIA DGX Sparks, multi-node
Reported total cost
not stated
Power
not stated

Measured speed (generation tokens/sec)

ModelQuantEnginetok/sPrompt processing (tok/s)Details
GLM-5.3 FlashNVFP4 + DFlash2vLLM TP2, 2 nodes, 1 stream35.3not stated⚡ spec-decode (DFlash)context: 262K📏 Single-stream prose decode as published in Tech2wild's recipe README (knapcio stack; NVIDIA NVFP4 weights).
GLM-5.3 FlashNVFP4 + DFlash2vLLM TP2, 2 nodes, 1 stream68.9not stated⚡ spec-decode (DFlash)context: 262K📏 Single-stream code decode as published in the same Tech2wild README.

Numbers by Tech2wild (tonyd2wild); knapcio stack; NVIDIA NVFP4 weights. 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 has no LICENSE file; RigBase cites the published numbers and links the README only (no copied code or config blocks).

Source: https://github.com/tonyd2wild/GLM-5.3-Flash-NVFP4-DFlash2-2x-DGX-Spark
https://github.com/tonyd2wild/GLM-5.3-Flash-NVFP4-DFlash2-2x-DGX-Spark/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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Quick answers: Can 2x DGX Spark (GB10) run GLM-5.3 Flash?