NVIDIA is the AI computing platform behind many of today’s most advanced applications, from research labs to high-growth startups. In this session, we’ll focus on the builder’s stack for AI agents -- how developers can go from an idea to a working agentic application using free, practical tools. We’ll cover: Nemotron models on build.nvidia.com (production-grade open models that participants can try instantly via hosted APIs), Brev GPU workspaces (preconfigured GPU environments that help teams get building quickly), and ecosystem resources for students and founders, including learning materials and support.
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Hatice Ozen is Head of Developer Ecosystem, Middle East & Türkiye at NVIDIA, where she works with developers to help them discover, prototype, and scale their AI workflows and products. She previously served as Founding Head of Developer Relations at Groq, where she empowered developers, startup founders, and business leaders alike to both understand how to leverage AI and how to build AI applications that leverage real-time AI inference for a best-in-class user experience. With a background in application development and community building, Hatice is passionate about making cutting-edge AI accessible and buildable for all, driving innovation across the AI ecosystem through education.
Truth Systems is a San Francisco-based AI governance and risk management startup that builds automated safety platforms and reasoning-based risk managers for highly regulated industries, such as legal and financial services. The company is funded by major venture firms like Gradient Ventures, Lightspeed Venture Partners, and Y Combinator.