Nvidia leaders to debate open versus closed AI at Disrupt
Nvidia executives Nader Khalil and Sydney Sykes will address the business trade-offs between open and closed AI models at the upcoming TechCrunch Disrupt 2026 conference.

At the upcoming TechCrunch Disrupt 2026 conference in San Francisco, scheduled for October 13-15, Nvidia's Director of Developer Tech Nader Khalil and Global Head of VC Partnerships Sydney Sykes will lead a session titled The Open vs. Closed AI Debate Is Just Getting Started. The discussion on the Builders Stage will focus on how startups navigate the choice between proprietary frontier models and open-source alternatives.
The debate comes as open-source models rapidly close the capability gap with closed systems. In July, Nvidia reported that 145 papers accepted at ICML 2026 cited its Nemotron open models and datasets. Additionally, Nvidia launched Nemotron 3 Super in March, an open 120-billion-parameter model tailored for agentic workloads. Despite this push, Nvidia CEO Jensen Huang has argued that the future will likely feature a hybrid approach combining both proprietary and open models rather than a strict binary choice.
The speakers bring distinct technical and financial perspectives to the stage. Khalil previously co-founded Brev.dev, an AI infrastructure startup acquired by Nvidia in July 2024 that simplifies GPU deployment across public, private, and on-premises environments. Sykes manages Nvidia's venture capital relationships. Together, they will analyze how model selection impacts a startup's infrastructure costs, margins, data control, and ultimate venture investability.
For practitioners, choosing between open and closed architectures is no longer a philosophical debate but a core business decision. Opting for open models offers flexibility and control but introduces infrastructure maintenance overhead, while proprietary APIs risk vendor lock-in and lack clear defensibility. Attendees can register for the event to hear the discussion, with early registration discounts of up to $200 available before prices increase on September 25 at 11:59 p.m. PT.
This is our own summary of reporting by TechCrunch AI


