What is an Inference Engine, Anyway?
Official Schedule 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
Official 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.
Related YouTube Video
How fast are LLM inference engines anyway? — Charles Frye, Modal (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).
Transcript Status
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
Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.
Supporting Slides
- youtube DeFF3J8T5Pk slides — extracted from the related public AI Engineer video.
Slide Evidence
- Slide-only cropped deck: youtube DeFF3J8T5Pk dense slides (2 viable slide images).
- Related slide/OCR pages:
- youtube DeFF3J8T5Pk dense slides
- youtube DeFF3J8T5Pk reconstructed slides
- youtube DeFF3J8T5Pk slides
- Slide-derived terms:
microsoft,open,models,every,benchmarked,world,fair,graphite,windsurf,moneobb,mdaily,augmentcode,workos,weights,source,engines,getting,better