---
title: "Modal"
category: "tools"
aliases: ["Modal"]
sourceLabels: ["Official schedule", "Public YouTube metadata", "Transcript evidence", "Local slide OCR", "Topic synthesis"]
scheduleTracks: ["Workshops Day 1", "AI Architects: Show my Workflow"]
scheduleRooms: ["Track 9", "Leadership 2"]
---

# Modal

## Why It Belongs
Modal appears as a high-confidence tool, platform, model, protocol, product, or service in the AI Engineer World's Fair 2026 corpus.

This page records confirmed mentions and keeps them separate from broader inferred relevance.

## Confirmed Evidence

### Official Schedule
- [[2026-06-29-zhengyao-jiang-hands-on-autoresearch-cracking-openai-s-parameter-golf]] — Hands-on AutoResearch: Cracking OpenAI's Parameter Golf (Workshops Day 1 / Track 9)
- [[2026-06-29-niels-rogge-how-i-automate-my-own-job-at-hugging-face-using-agents]] — How I automate my own job at Hugging Face using agents (AI Architects: Show my Workflow / Leadership 2)

### Public YouTube Metadata
- [YouTube HvZXAOZ3iv8](https://www.youtube.com/watch?v=HvZXAOZ3iv8) — What Lies Beneath the API — Benjamin Cowen, Modal
- [YouTube y-UGrYbJsJk](https://www.youtube.com/watch?v=y-UGrYbJsJk) — What every AI engineer needs to know about GPUs — Charles Frye, Modal
- [YouTube DeFF3J8T5Pk](https://www.youtube.com/watch?v=DeFF3J8T5Pk) — How fast are LLM inference engines anyway? — Charles Frye, Modal
- [YouTube qeDPKbWjsuk](https://www.youtube.com/watch?v=qeDPKbWjsuk) — Keynote: The AI developer experience doesn't have to suck – why and how we built Modal

### Resource Pages
- [[youtube-DeFF3J8T5Pk]]
- [[youtube-HvZXAOZ3iv8]]

### Slide/OCR Pages
- [[youtube-DeFF3J8T5Pk-dense-slides]]
- [[youtube-DeFF3J8T5Pk-reconstructed-slides]]
- [[youtube-DeFF3J8T5Pk-slides]]
- [[youtube-HvZXAOZ3iv8-slides]]

### Topic Pages
- [[ai-sandboxes]]
- [[inference-engineering]]

### Transcript Files
- `raw/sources/youtube-transcripts/HvZXAOZ3iv8.txt`
- `raw/sources/youtube-transcripts/OXMMN-XbxwA.txt`
- `raw/sources/youtube-transcripts/zMiSRliEzv4.txt`

## Confidence
High confidence for presence in the corpus. Interpret broader importance through the linked schedule, transcript, slide, and topic evidence.