Three Qwen Models, One DGX Spark, Five Real Agents

Tue, 10 Nov 2026 00:00:00 +0000

Every week there is a new screenshot on Reddit or on the NVIDIA forums. “Qwen3.8-27B at 71 tok/s on a single DGX Spark!” “SGLang is 3x faster than vLLM!” And every week I ask myself the same question. Faster at what?

I recently had the opportunity to play with a DGX Spark 128GB, so I wanted to make some tests personally, trying to find out what numbers (and output quality) I could extract from that device. It serves five AI agents that I use every day. Those agents don’t ask a model to multiply 37 by 41. They send prompts of 28k to 120k tokens full of tool output, they reason in both italian and english before every step and they call tools in long loops. So I stopped trusting other people’s charts. I took real requests from my agents and replayed them against three models under the same conditions: the one I run in production and two challengers.

LLM on Emanuel's Blog

Three Qwen Models, One DGX Spark, Five Real Agents