---
title: "Audible"
category: "companies"
aliases: ["Audible"]
website: "https://www.audible.com/"
sourceLabels: ["Official speaker roster", "Official conference schedule", "Public company site", "Automated company profile fetch"]
---
# Audible

## Overview
Audible is represented at AI Engineer World's Fair 2026. Its public site describes it this way: Try Audible free for 30 days. Discover best-selling audiobooks, free podcasts, and exclusive Audible Originals. Listen offline with the Audible app.

## Background
The official speaker roster connects Audible to Harshul Jain. The public company site was discovered by domain-guess and fetched for homepage metadata.

## Conference Relevance
Audible matters to this wiki through 1 official speaker(s) and 2 scheduled session(s), including: 2 hr deep dive on LLM Inference at Scale — Part 1 of 2; 2 hr deep dive on LLM Inference at Scale — Part 2 of 2.

## Conference Sessions
- [[2026-06-29-harshul-jain-2-hr-deep-dive-on-llm-inference-at-scale-part-1-of-2]] - 2 hr deep dive on LLM Inference at Scale — Part 1 of 2 (2026-06-29, 12:10pm-1:10pm)
- [[2026-06-29-harshul-jain-2-hr-deep-dive-on-llm-inference-at-scale-part-2-of-2]] - 2 hr deep dive on LLM Inference at Scale — Part 2 of 2 (2026-06-29, 1:15pm-2:15pm)

## Connections
- [[harshul-jain]] - Senior Software Engineer - ML/AI

## Sources
- [Audible.com](https://www.audible.com/)

## Evidence Graph
This evidence graph summarizes how this organization appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.

### Linked Sessions
- [[2026-06-29-harshul-jain-2-hr-deep-dive-on-llm-inference-at-scale-part-1-of-2|2 hr deep dive on LLM Inference at Scale — Part 1 of 2]]
- [[2026-06-29-harshul-jain-2-hr-deep-dive-on-llm-inference-at-scale-part-2-of-2|2 hr deep dive on LLM Inference at Scale — Part 2 of 2]]

### Media Signals
No linked video, transcript, or slide source has been attached yet.

## Notes
- Automated company profile fetch status: fetched.

## Evidence Boundary
Official roster and schedule facts are treated as canonical for conference participation. Public company sites, documentation, and professional profiles are supporting context used to explain what the organization does and why it is relevant.