---
title: "Under 5 minutes to a deployed LLM endpoint — Audry Hsu, RunPod"
category: "resources"
sourceLabels:
  - "Public YouTube metadata"
  - "YouTube transcript"
videoId: "ILdE7FaAjVA"
last_enriched: "2026-07-15T23:40:57.931043+00:00"
---
# Under 5 minutes to a deployed LLM endpoint — Audry Hsu, RunPod

## What It Is
An official AI Engineer YouTube channel video with a cached transcript. It is retained as supporting context only because it has not been verified as an actual AI Engineer World's Fair San Francisco 2026 event recording.

## Source Classification
- Source role: supporting official-channel video context, not first-class event evidence.
- Channel/source: official AI Engineer YouTube channel AI Engineer cut video.
- Use: background, speaker, company, or historical AIE context only; do not use for World's Fair San Francisco 2026 session claims unless manually verified against the official event.

## Transcript Status
Cached transcript text is available at `raw/sources/youtube-transcripts/ILdE7FaAjVA.txt` (1,823 words).

## Topic Signals
- [[coding-agents|Coding Agents]], [[inference-engineering|Inference Engineering]], [[mcp|MCP]], [[ai-sandboxes|AI Sandboxes]]
- Transcript keywords: `pardeep`, `used`, `getting`, `engaged`, `probably`, `thanks`, `companies`, `figure`

## Link
[YouTube](https://www.youtube.com/watch?v=ILdE7FaAjVA)

## Extracted Slides
- [[youtube-ILdE7FaAjVA-slides]]