Joe Rowell
Employers on the program
- 2024–2025poolside4 talks
Appearances by year
- AWS re:Invent
- QCon
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | Inside Poolside’s Model Factory: Building Better Models Faster (sponsored by poolside) as poolside Step inside poolside’s Model Factory—an integrated framework for turning raw data into production-ready foundation models. From automated pipelines and…Show lessStep inside poolside’s Model Factory—an integrated framework for turning raw data into production-ready foundation models. From automated pipelines and distributed training to reinforcement learning and scalable inference, discover how the Model Factory streamlines the entire lifecycle. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | Conquer AI performance, cost, and scale with AWS AI chips as poolside Generative AI promises to revolutionize industries, but its immense computational demands and escalating costs pose significant challenges. To overcome these…Show lessGenerative AI promises to revolutionize industries, but its immense computational demands and escalating costs pose significant challenges. To overcome these hurdles, AWS designed purposely built AI chips including AWS Trainium2 and AWS Inferentia2. | Video |
| Apr 8, 2024 | QCon London 2024 | QCon | panelist | Panel: What Does the Future of Computing Look Like as poolside.ai The future of computing promises to be revolutionary. This panel dives into cutting-edge advancements that will redefine how we interact with technology. We'll…Show lessThe future of computing promises to be revolutionary. This panel dives into cutting-edge advancements that will redefine how we interact with technology. We'll explore groundbreaking concepts and discuss their potential to transform our world. | |
| Apr 8, 2024 | QCon London 2024 | QCon | speaker | Pitfalls of Unified Memory Models in GPUs as poolside.ai Modern GPUs offer support for so-called unified memory, providing a universal address space for both CPUs and GPUs. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Chris Cooney | 3 | — | 2025 |
| Aaron Chen | 2 | — | 2025 |
| Aaron Dailey | 2 | — | 2025 |
| Aaron Sempf | 2 | — | 2025 |
| Aarthi Raju | 2 | — | 2025 |
| Abbas Mooraj | 2 | — | 2025 |
| Abhi Khanna | 2 | — | 2025 |
| Abhi Shivaditya | 2 | — | 2025 |
| Abhijeet Jangam | 2 | — | 2025 |
| Abhilash Nagilla | 2 | — | 2025 |
| Abhishek Pandey | 2 | — | 2025 |
| Abhishek Sharma | 2 | — | 2025 |
| Abhishek Srivastav | 2 | — | 2025 |
| Abilashkumar P C | 2 | — | 2025 |
| Adam Hensley | 2 | — | 2025 |
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.