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PyTorch Conference North America 2026

Oct 20–21, 2026 · San Jose Convention Center, San Jose, CA, United States

Conference
PyTorch Conference Data science & ML
Dates
Oct 20, 2026 – Oct 21, 2026
Venue
San Jose Convention Center
Place
San Jose, CA, United States
Format
In person
Status
Past
Attendance
—
Website
events.linuxfoundation.org
Recorded
59 sponsors · 23 speaker appearances
Notes
Hosted by the PyTorch Foundation. Co-located events on 19 Oct incl. Jupyter Day and the LF AI & Data Mini Summit. Programme on Sessionize lists 217 sessions / 280 speakers, so speakers: keynotes only (affiliations from the LF featured keynote list; Ion Stoica as on Sessionize). AGNTCon + MCPCon North America ran in San Jose on 22-23 Oct.

Ticket prices

TicketPriceValid untilNotesSource
Attendee (super early bird)$499Apr 10, 2026events.linuxfoundation.org
Attendee (early bird)$599Jul 31, 2026events.linuxfoundation.org
Attendee (standard)$799Sep 4, 2026events.linuxfoundation.org
Attendee (late)$999Oct 21, 2026events.linuxfoundation.org
Academic$249—Same price in all periods; proof of academic ID required.events.linuxfoundation.org

Sponsors 59

Speakers and talks 23

SpeakerCompanyRoleTalkLinks
Abdullah GharaibehGoogleKeynoteKeynote: Open Source Inference at Production Scale—
Alban DesmaisonMetaKeynoteKeynote: PyTorch Updates—
Bill JiaGoogleKeynoteKeynote: Workload Fungibility in the Agentic Era: Bringing Native PyTorch to Cloud TPUs—
Carlos CostaIBMKeynoteKeynote: Open Source Inference at Production Scale—
Chris LattnerQualcommKeynoteKeynote: MAX and Mojo: The Best Way to Extend PyTorch—
Cody Mazza-AnthonyShopifyKeynoteKeynote: Shopify's Continual Learning Loop with PyTorch and vLLM—
Edward YangMetaKeynoteKeynote: PyTorch Updates—
Ion StoicaAnyscaleKeynoteKeynote: Ray's Evolution to Support AI Workloads—
Jana van GreunenMetaKeynoteKeynote: PyTorch at Meta - From Internal Workloads to Multi-Silicon Ecosystem—
Mark CollierPyTorch FoundationKeynoteKeynote: Accelerating Open Intelligence Together—
Mark CollierPyTorch FoundationKeynoteKeynote: Building What’s Next in Open Source AI—
Mark SaroufimCore AutomationKeynoteKeynote: Linear Algebra for the Age of Research—
Mazin GilbertAgentic AI FoundationKeynoteKeynote: From AI to Agentic AI and Back—
Priya NagpurkarIBMKeynoteKeynote: From Silicon to Models at Scale—
Rachad AlaoCohereKeynoteKeynote: Open Science and AI Foundation Models: Allies in the Pursuit of Knowledge—
Robert HundtAmazon Web ServicesKeynoteKeynote: Trainium’s Journey to Native PyTorch—
Sara HookerAdaptionKeynoteKeynote: Beyond Brute Force: The Era of Adaptive Intelligence.—
Simon MoInferactKeynoteKeynote: vLLM Update: Scaling Open Frontier Inference Infrastructure—
Stephen WattRed HatKeynoteKeynote: Open Source Inference at Production Scale—
Ujval KapasiNVIDIAKeynoteKeynote: PyTorch Performance for Agents on Vera Rubin—
Yiwei SongCrusoeKeynoteKeynote: AI Model Customization Platform—
Zhipeng WangGoogleKeynoteKeynote: Scaling Large Frontier Models Training with DeepSpeed—
Zongwei ZhouMetaKeynoteKeynote: Workload Fungibility in the Agentic Era: Bringing Native PyTorch to Cloud TPUs—

Sources