Stop twisting every dial: One open Inference tuning lesson

Video

Open inference engines give you many knobs and it’s easy to turn the wrong ones. In this 5-minute lightning talk, I’ll share one concrete lesson from tuning an open-source model server for better real-world performance: what we changed, what metric we watched, and what surprised us.

The goal isn’t a full benchmark suite. It’s a tight takeaway you can reuse when comparing open serving stacks or tuning memory, concurrency, and startup behavior on GPU hosts. Come for one practical lesson; leave with a sharper instinct for which knobs matter first.

Speakers: Aqsa Aqeel

Track: [CLS] - OTS

Watch on YouTube ↗

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