Ion Stoica
Employers on the program
- 2026Databricks, Anyscale & UC Berkeley1 talk
- 2020–2026Anyscale8 talks
- 2020–2026UC Berkeley6 talks
- 2025University of California, Berkeley1 talk
- 2019RISE1 talk
1 more
- 2019UC Berkeley & Databricks1 talk
Events20
Conferences11
Talks2015 keynotes
Years active2019–2026
Talk freshness995 different talks in 5 · 2 circuits, 24 monthsMiles between events5,63216 in-person events · 2 countriesThe year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- Ray Summit
- PyTorch Conference
- ScaledML (Scaled Machine Learning Conference)
- ACM SIGMOD/PODS (International Conference on Management of Data)
- AI Native Summit
- AWS re:Invent
- Community Over Code (formerly ApacheCon)
- Data Council
- 3 other conferences
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Oct 20, 2026 | PyTorch Conference North America 2026 | PyTorch Conference | keynote | Keynote: Ray's Evolution to Support AI Workloads as Anyscale / UC Berkeley | |
| Aug 24, 2026 | Ray Summit 2026 | Ray Summit | keynote | Untitled as Anyscale | |
| Jun 16, 2026 | 10th Annual Toronto Machine Learning Summit (TMLS) 2026 | Toronto Machine Learning Summit (TMLS) | speaker | An Open AI Stack as UC Berkeley | |
| Jan 29, 2026 | ScaledML 2026 | ScaledML (Scaled Machine Learning Conference) | speaker | Untitled as Databricks, Anyscale & UC Berkeley | |
| Nov 3, 2025 | Ray Summit 2025 | Ray Summit | keynote | Untitled as Anyscale | |
| Oct 22, 2025 | PyTorch Conference 2025 | PyTorch Conference | keynote | Keynote: Ray: A Distributed Compute Engine for AI as UC Berkeley | |
| May 12, 2025 | MLSys 2025 | MLSys (Conference on Machine Learning and Systems) | keynote | An AI stack: from scaling AI workloads to evaluating LLMs as University of California, Berkeley | |
| Nov 21, 2024 | AI Native Summit 2024 | AI Native Summit | keynote | Opening Fireside | |
| Sep 18, 2024 | PyTorch Conference 2024 | PyTorch Conference | keynote | Keynote: Ray: A Distributed Framework for Heterogeneous Computing as UC Berkeley Ray has recently become the framework of choice for scaling machine learning workloads—from data preprocessing, to training, fine-tuning, and serving. This talk…Show lessRay has recently become the framework of choice for scaling machine learning workloads—from data preprocessing, to training, fine-tuning, and serving. This talk will highlight Ray’s key features responsible for its flexibility and generality, as well as its recent support for GPUs. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | breakout | Generative AI panel: Moving beyond the hype and realizing value as Anyscale Generative AI is motivating companies to think about how AI might reshape customer experiences, transform the way we work, and improve business productivity. | Video |
| Sep 18, 2023 | Ray Summit 2023 | Ray Summit | keynote | Untitled as Anyscale | |
| Nov 1, 2022 | ODSC West 2022 | ODSC (Open Data Science Conference) | keynote | Untitled as UC Berkeley | |
| Aug 22, 2022 | Ray Summit 2022 | Ray Summit | keynote | Untitled as Anyscale | |
| Aug 6, 2021 | ApacheCon Asia 2021 | Community Over Code (formerly ApacheCon) | keynote | Ray: A universal framework for distributed computing | |
| Jun 22, 2021 | Ray Summit 2021 | Ray Summit | keynote | Opening Keynote as Anyscale & UC Berkeley | |
| Sep 30, 2020 | Ray Summit 2020 | Ray Summit | keynote | Programming the Cloud as Easily as your Laptop as Anyscale & UC Berkeley | |
| Jun 14, 2020 | SIGMOD/PODS 2020 | ACM SIGMOD/PODS (International Conference on Management of Data) | keynote | Systems and ML: When the Sum is Greater than Its Parts as UC Berkeley | |
| Feb 26, 2020 | ScaledML 2020 | ScaledML (Scaled Machine Learning Conference) | speaker | ML for Systems as UC Berkeley | SlidesVideo |
| Apr 17, 2019 | Data Council San Francisco 2019 | Data Council | talk | Ray for Reinforcement Learning ML & MLOps as Rise Lab (UC Berkeley) | |
| Mar 27, 2019 | ScaledML 2019 | ScaledML (Scaled Machine Learning Conference) | keynote | AI and Systems at RISELab as UC Berkeley & Databricks |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Robert Nishihara | 8 | 2 | 2026 |
| Joe Spisak | 5 | — | 2026 |
| Simon Mo | 5 | — | 2026 |
| Edward Oakes | 4 | 1 | 2023 |
| Dawn Song | 4 | — | 2026 |
| Alban Desmaison | 3 | — | 2026 |
| Carlos Costa | 3 | — | 2026 |
| David Patterson | 3 | — | 2026 |
| Mark Saroufim | 3 | — | 2026 |
| Matei Zaharia | 3 | — | 2026 |
| Reza Zadeh | 3 | — | 2026 |
| Sean Lie | 3 | — | 2026 |
| Chip Huyen | 3 | — | 2025 |
| Jerry Liu | 3 | — | 2025 |
| Edward Yang | 2 | — | 2026 |
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.