Open Source Inference Stack Hits 200+ tok/s
Dave_it_up · x · 2026-07-13
The author argues that open source changes the world not just through model weights, but through the infrastructure ecosystem built collaboratively by global experts.
He shared an "ultra-fast inference" experience: running multiple sub-agents simultaneously at 200+ tok/s per stream, a performance so smooth it made other solutions feel "a bit broken." He notes this speed creates a new expectation—agents not only run faster but can proactively deliver results before the user even asks.
The setup includes:
- Base model: GLM52 FP8
- Driven by an agent harness from @Zaiorg
- Inference stack using vLLM and LiteLLM
- Built-in MTP enabled with default parameters
The author also mentioned audio was provided by GeminiApp.
Related event: Open-Source Inference Stack Achieves Over 200 tok/s(2 posts)→
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