Markdown source

What is an Inference Engine, Anyway?

Conference Context

Session Description

To run state-of-the-art inference yourself, you must master the inference engine: vLLM, SGLang, TRT-LLM, or your own jawn. The inference engine manages the lifecycle of an inference request, from input to output. In this workshop, we'll examine the architecture of modern high performance inference engines, the key techniques that inference engines need to deliver that performance, and the traces and metrics that inference engines emit.

Media Evidence

How fast are LLM inference engines anyway? — Charles Frye, Modal (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

Evidence Graph

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Media Signals

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Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.

People

Supporting Slides

Slide Evidence

Synthesis

Synthesized Breakdown

What is an Inference Engine, Anyway? ## Conference Context - Date/time: 2026-06-29 · 11:05am-12:05pm - Track/room: Workshops Day 1 · Track 8 - Speaker(s): Charles Frye - Session type/status: workshop · confirmed - Track: Workshops Day 1 - Room: Track 8 - Session type: workshop - Status: confirmed ## Session Description To run state-of-the-art inference yourself, you must master the inference engine: vLLM, SGLang, TRT-LLM, or your own jawn. The inference engine manages the lifecycle of an inference request, from input to output. In this workshop, we'll examine the architecture of modern high performance inference engines, the key techniques that inference engines need to deliver that performance, and the traces and metrics that inference engines emit.

Speaker And Company Context

Topics Covered

Derived Links And Source Material

Novel Concepts / Clever Methods

Evidence Boundary

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