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UID:www.nvidia.com/gtc/dc
DTSTAMP:20260917T161449Z
DTSTART;VALUE=DATE:20261130
DTEND;VALUE=DATE:20261204
SUMMARY:NVIDIA GTC Washington\, D.C.
DESCRIPTION:### Overview\nNVIDIA GTC Washington\, D.C. brings together government leaders\, policymakers\, scientists\, and industry partners to explore how artificial intelligence is accelerating American economic growth\, reindustrialization\, and scientific discovery. The event is hosted at the Ronald Reagan Building and International Trade Center in Washington\, D.C. and centers on the impact of AI across public sector\, industry\, and research. Attendees will experience CEO Jensen Huang’s keynote remarks\, expert sessions\, live demos\, and hands-on workshops that probe the latest in AI models\, open model platforms\, AI factories\, physical AI\, high performance computing\, and the future of U.S. scientific advancement.\n\n### Agenda and format\nThe conference program spans several days with a mix of keynotes\, sessions\, demos\, and practical workshops. The agenda includes a keynote session featuring NVIDIA leadership\, followed by parallel tracks covering open AI models\, physics-informed AI\, machine reasoning and agentic AI\, and the integration of AI into U.S. innovation ecosystems. Live demonstrations showcase AI deployments in manufacturing\, research\, and industry\, while workshops provide hands-on experiences with relevant NVIDIA tools\, software stacks\, and development workflows. The event emphasizes both policy and technical perspectives\, helping attendees understand not only what is possible with AI today but also how to responsibly scale AI solutions in government\, industry\, and research contexts.\n\n### Speakers and program details\nThe program highlights high profile speakers and experts across industry and government\, including prominent technology leaders and researchers. In addition to the keynote\, attendees can engage with sessions and teasers featuring executives and researchers who discuss:\n- The role of AI in governance\, policy\, and national competitiveness.\n- Enterprise AI applications\, AI infrastructure\, and AI systems engineering.\n- AI for science\, drug discovery\, materials science\, climate modeling\, and HPC.\n- Foundational topics around safety\, ethics\, and responsible AI in large-scale deployments.\n- Vendor and partner showcases illustrating practical AI deployments and tools for developers and researchers.\n\nSpeaker topics on the page range from keynote remarks by NVIDIA leadership to detailed insights from executives and technical leaders\, including figures described as senior U.S. policymakers and technology leaders. The program also includes sessions focused on AI in government\, AI for industry\, and AI-enabled scientific discovery\, as well as developer-focused tracks such as AI Factory concepts\, inference and training pipelines\, and optimization strategies.\n\n### Who should attend\nThis event is designed for government leaders\, policymakers\, researchers\, engineers\, and business leaders who are interested in AI’s role in public sector innovation\, industrial transformation\, and scientific advancement. Those seeking to understand the policy implications of AI adoption\, as well as practitioners looking to deploy NVIDIA AI technologies in real-world contexts\, will find sessions and demos valuable. Attendees should be prepared for a tightly packed schedule with multiple tracks\, demos\, and hands-on sessions that require active participation.\n\n### FAQ\n- Is this event online or in person? This edition is an offline in-person conference in Washington\, D.C.\n- When does the event take place? November 30 to December 3\, 2026.\n- Where is the venue? Ronald Reagan Building and International Trade Center\, Washington\, DC\, US.\n- Who should attend? Government policymakers\, researchers\, engineers\, and business leaders focusing on AI\, HPC\, and U.S. innovation.\n\nThis summary reflects content visible on the page including keynote focus\, sessions\, workshops\, and the overall multi-track format designed to explore AI's impact on government and industry. It does not introduce external details beyond what the page presents.\nhttps://www.nvidia.com/gtc/dc?ref=ainave
LOCATION:Washington\, United States\, US
URL;VALUE=URI:https://www.nvidia.com/gtc/dc?ref=ainave
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