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11-12, August 2026
Seoul, South Korea
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Note: The schedule is subject to change.

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Tuesday August 11, 2026 10:15 - 10:30 KST
Open source has been the single most powerful force democratizing AI—taking capabilities that might otherwise be confined to a handful of well-resourced labs and putting them within reach of researchers, developers, and IT operators everywhere. But the relationship runs both ways: as AI systems increasingly write and contribute code, they are reshaping the open-source ecosystem itself—straining how we manage a rising tide of machine-generated contributions and how we secure code in an era when both attackers and defenders are AI-augmented. In this keynote, I make the case for why open models and open technologies like PyTorch, vLLM, and llm-d are critical enablers for enterprises and governments seeking greater control and flexibility over their AI, and I highlight the technical innovation making this possible. I close by arguing that we have a real opportunity to turn this two-way street into a virtuous loop—building AI that accelerates and secures open source even as open source accelerates AI.
Speakers
avatar for Priya Nagpurkar

Priya Nagpurkar

Vice President, AI-native Systems Research, IBM Research
Priya Nagpurkar is the Vice President of AI-native Systems research at I.B.M.'s T.J. Watson Research Center in New York. She leads a global team of systems and AI experts working on all interesting aspects of the AI platform -- from scalable, performant, and efficient deployment... Read More →
Tuesday August 11, 2026 10:15 - 10:30 KST
Grand Ballroom 2-3

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