Travis Addair
Appearances by year
- Ray Summit
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Sep 18, 2023 | Ray Summit 2023 | Ray Summit | speaker | 50x Faster Fine-Tuning in 10 Lines of YAML with Ludwig and Ray as Predibase Inc. | |
| Aug 22, 2022 | Ray Summit 2022 | Ray Summit | speaker | Predibase: A low-code deep learning platform built for scale as Predibase Inc. | |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | chalk talk | Distributed deep learning with Horovod as Uber Technologies One of the main challenges customers face with deep learning is running efficient model training over multiple nodes. In this chalk talk, we discuss how to use…Show lessOne of the main challenges customers face with deep learning is running efficient model training over multiple nodes. In this chalk talk, we discuss how to use Horovod, a distributed training framework, to speed up deep learning training for multiple frameworks including TensorFlow, PyTorch, and Apache MXNet. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Ali Kanso | 2 | — | 2023 |
| Archit Kulkarni | 2 | — | 2023 |
| David Xia | 2 | — | 2023 |
| Edward Oakes | 2 | — | 2023 |
| Eric Liang | 2 | — | 2023 |
| Han Li | 2 | — | 2023 |
| Ion Stoica | 2 | — | 2023 |
| Jiajun Yao | 2 | — | 2023 |
| Keshi Dai | 2 | — | 2023 |
| Patrick Ames | 2 | — | 2023 |
| Ricky Xu | 2 | — | 2023 |
| Robert Nishihara | 2 | — | 2023 |
| SangBin Cho | 2 | — | 2023 |
| Shreyas Krishnaswamy | 2 | — | 2023 |
| Stephanie Wang | 2 | — | 2023 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.