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

## Overview
Stanford University is represented at AI Engineer World's Fair 2026. Its public site describes it this way: At Stanford, a spirit of optimism and possibility energizes our mission of discovery and learning.

## Background
The official speaker roster connects Stanford University to John Ousterhout, Simran Arora. The public company site was discovered by manual-url-override and fetched for homepage metadata.

## Conference Relevance
Stanford University matters to this wiki through 2 official speaker(s) and 2 scheduled session(s), including: Can LLMs write fast multi-GPU kernels? We built a benchmark to find out.; TCP and RDMA are Killing Inference Throughput; Homa can Fix It.

## Conference Sessions
- [[2026-06-29-simran-arora-can-llms-write-fast-multi-gpu-kernels-we-built-a-benchmark-to-find-out]] - Can LLMs write fast multi-GPU kernels? We built a benchmark to find out. (2026-06-29, 12:05pm-12:25pm)
- [[2026-07-01-john-ousterhout-tcp-and-rdma-are-killing-inference-throughput-homa-can-fix-it]] - TCP and RDMA are Killing Inference Throughput; Homa can Fix It (2026-07-01, 9:20am-9:40am)

## Connections
- [[john-ousterhout]] - Professor Emeritus
- [[simran-arora]] - Computer Science PhD Student

## Sources
- [Stanford University](https://www.stanford.edu/)

## 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-simran-arora-can-llms-write-fast-multi-gpu-kernels-we-built-a-benchmark-to-find-out|Can LLMs write fast multi-GPU kernels? We built a benchmark to find out.]]
- [[2026-07-01-john-ousterhout-tcp-and-rdma-are-killing-inference-throughput-homa-can-fix-it|TCP and RDMA are Killing Inference Throughput; Homa can Fix It]]

### 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.