Overview of the NVIDIA GTC Berlin Conference
The NVIDIA GTC Berlin conference is a major, three-day industry gathering scheduled for October 20–22, 2026. This event is designed to be a crucial forum for developers, researchers, emerging start-ups, and established business executives seeking to formulate and implement advanced AI strategies.
Attendees will have the opportunity to engage in hands-on learning and networking sessions at STATION-Berlin. The conference promises over 100 sessions that cover the entire spectrum of the AI technology stack. Topics span from NVIDIA CUDA™ and accelerated computing to specialized areas such as robotics, open-source models, and physical AI systems. Whether the focus is on developing AI models, deploying Large Language Models (LLMs) in commercial settings, or exploring AI applications in scientific and industrial sectors, GTC provides the necessary tools, expertise, and training.
Passes for the event begin at €357.
Featured Keynotes and Educational Tracks
A major highlight of the conference is the live keynote address by NVIDIA CEO Jensen Huang, which will take place at the iconic Tempodrom on Wednesday, October 21, from 11 a.m. to 1 p.m. CEST. Attendees are encouraged to arrive early for the NVIDIA GTC Live pregame show, which features discussions with industry leaders about the latest advancements in accelerated computing and AI.
Beyond the keynote, the conference offers multiple avenues for skill development:
- AI Talks and Panels: Sessions where industry experts share real-world tools and insights powering products across numerous industries.
- Training and Certification: Participants can engage in expert-led workshops to boost their skills, receiving training on NVIDIA platforms related to AI infrastructure, robotics, and AI inference. These sessions also offer certification opportunities.
- Networking: Structured meetups and informal discussions facilitate connections among developers, thought leaders, and start-ups who are actively shaping the AI ecosystem.
Key Technical Pillars and Focus Areas
The conference curriculum is organized around several deep technical pillars, allowing attendees to dive into specific areas of AI deployment:
- Agentic AI and Claws: Learning how to build specialized AI agents capable of planning, reasoning, and acting, utilizing tools like Claws, open models, libraries, and frameworks to achieve business results.
- AI for Science: Focused on how accelerated computing and AI enable scientific breakthroughs. This area explores combining agentic systems, simulation, and data to unlock advancements in fields such as climate science, materials science, and biology.
- AI Infrastructure: Demonstrating how modern data centers can be transformed into scalable intelligence engines for the efficient, secure, and large-scale production, management, and deployment of AI enterprise-wide.
- CUDA and Libraries: Deep dives into NVIDIA CUDA™, open-source frameworks, and developer tools that enable the building, optimization, and deployment of GPU-accelerated applications, from community projects to new SDKs.
- Data Processing: Showcasing how NVIDIA cuDF and NVIDIA cuVS accelerate the processing of terabytes of both structured and unstructured data for agentic AI applications.
- Industrial AI: Illustrating how NVIDIA’s accelerated computing, CUDA-X™ libraries, AI models, and digital twins assist engineers in designing, simulating, and improving physical products, factories, and infrastructure.
- Open Models and Datasets: Exploring the growing universe of open models, data, and tools, allowing users to customize deeply and quickly integrate trustworthy AI tailored to their specific domain.
- Physical AI and Robotics: Showcasing how NVIDIA’s open models, libraries, and simulation frameworks are aiding the development of next-generation autonomous vehicles, robots, and manufacturing facilities.
Professional Resources and Community Engagement
For those looking to advance their careers, the conference provides resources ranging from formal training to specialized startup support. Individuals can receive instructor-led training from NVIDIA experts and earn technical certifications in AI, data science, and accelerated computing.
Additionally, the NVIDIA Inception program offers free access to tech start-ups, providing essential developer resources, preferred pricing on NVIDIA hardware and software, and unique exposure to the venture capital community.
The speaker roster includes prominent industry figures such as Kari Briski (VP, AI Software Product Management, NVIDIA), Jörg Burzer (Member of the Board of Management, Mercedes-Benz Group AG), Robin Rombach (Co-Founder & CEO, Black Forest Labs), Farhan Thawar (Head of Engineering, Shopify), Kimberly Powell (VP/GM, Healthcare, NVIDIA), Tim Anderson (Global Director, LSEG), Bryan Catanzaro (VP, Applied Deep Learning Research, NVIDIA), and Alexandre Jacob (Head of R&I Digital Products & Open Digital, L’Oréal).
Industry Perspective on the Event
Attendees have highly praised the scope and impact of the conference:
GTC is not just a technology conference. It is a live preview of how generative AI, multi-agent systems, digital twins, robotics, and accelerated computing are being deployed inside real enterprises.
Another attendee described the experience by stating:
Attending GTC is like watching a preview of the future—showing how our lives will become more convenient and how technology around the world is heading.
Furthermore, eWEEK noted the event’s unparalleled networking value:
No other event has brought together as many industries, companies, AI influencers, VCs, and startups in one place. We say all this not to give you FOMO, but to clarify for non-tech people: this event is a big deal.
The event is designed to be comprehensive, bringing together technology, knowledge, and industry leaders all in Berlin.
