Data Conference Databasea Query.Farm index
Speakers

Ion Stoica

Employers on the program

  1. 2026Databricks, Anyscale & UC Berkeley1 talk
  2. 2020–2026Anyscale8 talks
  3. 2020–2026UC Berkeley6 talks
  4. 2025University of California, Berkeley1 talk
  5. 2019RISE1 talk
1 more
  1. 2019UC Berkeley & Databricks1 talk

The 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.

Held in the past 12 months Next 12 months Today, Nov 10, 2026

Appearances by year

201920202021202220232024202520262027
  • 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

DateEventConferenceRoleTitleLinks
Oct 20, 2026PyTorch Conference North America 2026PyTorch ConferencekeynoteKeynote: Ray's Evolution to Support AI Workloads
as Anyscale / UC Berkeley
Aug 24, 2026Ray Summit 2026Ray SummitkeynoteUntitled
as Anyscale
Jun 16, 202610th Annual Toronto Machine Learning Summit (TMLS) 2026Toronto Machine Learning Summit (TMLS)speakerAn Open AI Stack
as UC Berkeley
Jan 29, 2026ScaledML 2026ScaledML (Scaled Machine Learning Conference)speakerUntitled
as Databricks, Anyscale & UC Berkeley
Nov 3, 2025Ray Summit 2025Ray SummitkeynoteUntitled
as Anyscale
Oct 22, 2025PyTorch Conference 2025PyTorch ConferencekeynoteKeynote: Ray: A Distributed Compute Engine for AI
as UC Berkeley
May 12, 2025MLSys 2025MLSys (Conference on Machine Learning and Systems)keynoteAn AI stack: from scaling AI workloads to evaluating LLMs
as University of California, Berkeley
Nov 21, 2024AI Native Summit 2024AI Native SummitkeynoteOpening Fireside
Sep 18, 2024PyTorch Conference 2024PyTorch ConferencekeynoteKeynote: 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 less

Ray 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, 2023AWS re:Invent 2023AWS re:InventbreakoutGenerative 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, 2023Ray Summit 2023Ray SummitkeynoteUntitled
as Anyscale
Nov 1, 2022ODSC West 2022ODSC (Open Data Science Conference)keynoteUntitled
as UC Berkeley
Aug 22, 2022Ray Summit 2022Ray SummitkeynoteUntitled
as Anyscale
Aug 6, 2021ApacheCon Asia 2021Community Over Code (formerly ApacheCon)keynoteRay: A universal framework for distributed computing
Jun 22, 2021Ray Summit 2021Ray SummitkeynoteOpening Keynote
as Anyscale & UC Berkeley
Sep 30, 2020Ray Summit 2020Ray SummitkeynoteProgramming the Cloud as Easily as your Laptop
as Anyscale & UC Berkeley
Jun 14, 2020SIGMOD/PODS 2020ACM SIGMOD/PODS (International Conference on Management of Data)keynoteSystems and ML: When the Sum is Greater than Its Parts
as UC Berkeley
Feb 26, 2020ScaledML 2020ScaledML (Scaled Machine Learning Conference)speakerML for Systems
as UC Berkeley
SlidesVideo
Apr 17, 2019Data Council San Francisco 2019Data CounciltalkRay for Reinforcement Learning ML & MLOps
as Rise Lab (UC Berkeley)
Mar 27, 2019ScaledML 2019ScaledML (Scaled Machine Learning Conference)keynoteAI and Systems at RISELab
as UC Berkeley & Databricks

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Robert Nishihara822026
Joe Spisak5—2026
Simon Mo5—2026
Edward Oakes412023
Dawn Song4—2026
Alban Desmaison3—2026
Carlos Costa3—2026
David Patterson3—2026
Mark Saroufim3—2026
Matei Zaharia3—2026
Reza Zadeh3—2026
Sean Lie3—2026
Chip Huyen3—2025
Jerry Liu3—2025
Edward Yang2—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.